Today’s competitive environment has, lower manufacturing cost, more productivity in less time, high-quality product, defect-free operation are required to follow to every foundryman. For the improvement of products quality, there are diff-diff quality tools used in various review papers. Here I am going to review these papers and identify the different way of uses of those tools in manufacturing industries to increase the quality of the product. There are so many defects in the manufacturing process and these defects directly affect productivity, profitability and quality level of organization. This study is aimed to review the research work made by several researchers and attempt to get a technical solution for the various defects and to improve the entire process of the manufacturing
This document provides information about quality management policy statements, including what they are, why companies use them, and what they typically include. A quality statement explains a company's quality management system, commitments, and approach to ensure high quality work. It is included in bids/tenders to convince buyers that the company can reliably deliver projects on time and to standard. A quality statement generally covers issues like project management approach, quality certifications, policies, staff qualifications, and experience on similar projects. Customizing the statement for each tender is important.
Total Quality Management (TQM) tools help organizations identify, analyze, and assess qualitative and quantitative data relevant to their business. These tools include charts, diagrams, brainstorming, checklists and more. They can identify issues, illustrate complicated information, and enhance effectiveness and quality when used properly. Some common TQM tools are pie charts, histograms, run charts, Pareto charts, flowcharts and cause-and-effect diagrams. Organizations should use multiple tools together to fully understand issues, as single tools may provide an incomplete picture or close off possibilities.
This document provides information about quality management statement templates including examples of quality management statements and tools. It discusses six commonly used quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Examples and descriptions are given for each tool. Additional related topics on quality management are also listed.
The document discusses risk based quality management in clinical trials. It summarizes the EMA Reflection Paper on Risk Based Quality Management, which encourages a more systematic, prioritized, risk-based approach to quality management. The paper endorses the use of central statistical monitoring to identify risks and ensure data integrity. Several quality management tools are also described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Other related topics like quality management systems and standards are listed for further reading.
The document discusses various quality management tools and techniques, including Pareto charts, histograms, cause-effect diagrams, flowcharts, check sheets, scatter diagrams, and control charts. It explains how each tool is used to identify and address issues that impact quality, costs, and process performance in order to continually improve processes and products/services. Implementing these tools effectively as part of a total quality management system can help organizations reduce waste, lower costs, enhance quality, and gain a competitive advantage.
This document discusses quality management issues and provides resources on the topic. It begins by outlining common quality management issues organizations may face and provides questions to help assess an organization's quality management processes. It then discusses specific issues in more depth, including nurturing a quality culture, assessing metrics, integrating disparate quality systems, handling increasing data volumes, and closing the quality loop. The document also introduces several quality management tools, such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes by listing additional quality management topics.
This document discusses quality management in software engineering. It provides an abstract and introduction about quality management frameworks like ISO, TickIT and CMM. It examines the concept of quality in software development using these frameworks. The document also discusses some key characteristics of software quality and compares the different quality standards. Finally, it lists and describes some common quality management tools used in software engineering like check sheets, control charts, Pareto charts and scatter plots.
The document discusses seven quality improvement tools, with a focus on the Plan-Do-Check-Act (PDCA) cycle and the Seven Basic Tools of Quality. The Seven Basic Tools of Quality introduced by Kaoru Ishikawa are: flow charts, cause-and-effect diagrams, check sheets, histograms, scatter diagrams, control charts, and Pareto charts. Each tool is described in one or two paragraphs in terms of its purpose and how it can be used to identify issues, analyze data, and drive continuous process improvement efforts.
This document provides information about quality management policy statements, including what they are, why companies use them, and what they typically include. A quality statement explains a company's quality management system, commitments, and approach to ensure high quality work. It is included in bids/tenders to convince buyers that the company can reliably deliver projects on time and to standard. A quality statement generally covers issues like project management approach, quality certifications, policies, staff qualifications, and experience on similar projects. Customizing the statement for each tender is important.
Total Quality Management (TQM) tools help organizations identify, analyze, and assess qualitative and quantitative data relevant to their business. These tools include charts, diagrams, brainstorming, checklists and more. They can identify issues, illustrate complicated information, and enhance effectiveness and quality when used properly. Some common TQM tools are pie charts, histograms, run charts, Pareto charts, flowcharts and cause-and-effect diagrams. Organizations should use multiple tools together to fully understand issues, as single tools may provide an incomplete picture or close off possibilities.
This document provides information about quality management statement templates including examples of quality management statements and tools. It discusses six commonly used quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Examples and descriptions are given for each tool. Additional related topics on quality management are also listed.
The document discusses risk based quality management in clinical trials. It summarizes the EMA Reflection Paper on Risk Based Quality Management, which encourages a more systematic, prioritized, risk-based approach to quality management. The paper endorses the use of central statistical monitoring to identify risks and ensure data integrity. Several quality management tools are also described, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. Other related topics like quality management systems and standards are listed for further reading.
The document discusses various quality management tools and techniques, including Pareto charts, histograms, cause-effect diagrams, flowcharts, check sheets, scatter diagrams, and control charts. It explains how each tool is used to identify and address issues that impact quality, costs, and process performance in order to continually improve processes and products/services. Implementing these tools effectively as part of a total quality management system can help organizations reduce waste, lower costs, enhance quality, and gain a competitive advantage.
This document discusses quality management issues and provides resources on the topic. It begins by outlining common quality management issues organizations may face and provides questions to help assess an organization's quality management processes. It then discusses specific issues in more depth, including nurturing a quality culture, assessing metrics, integrating disparate quality systems, handling increasing data volumes, and closing the quality loop. The document also introduces several quality management tools, such as check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes by listing additional quality management topics.
This document discusses quality management in software engineering. It provides an abstract and introduction about quality management frameworks like ISO, TickIT and CMM. It examines the concept of quality in software development using these frameworks. The document also discusses some key characteristics of software quality and compares the different quality standards. Finally, it lists and describes some common quality management tools used in software engineering like check sheets, control charts, Pareto charts and scatter plots.
The document discusses seven quality improvement tools, with a focus on the Plan-Do-Check-Act (PDCA) cycle and the Seven Basic Tools of Quality. The Seven Basic Tools of Quality introduced by Kaoru Ishikawa are: flow charts, cause-and-effect diagrams, check sheets, histograms, scatter diagrams, control charts, and Pareto charts. Each tool is described in one or two paragraphs in terms of its purpose and how it can be used to identify issues, analyze data, and drive continuous process improvement efforts.
The document discusses various quality control tools used to identify issues, analyze causes, and monitor processes. It provides descriptions and examples of seven key QC tools: Pareto diagram, cause-and-effect diagram, histogram, scatter diagram, check sheet, control chart, and graph/flow chart. These tools can help objectively assess situations, identify problem areas, determine relationships between factors, and maintain process stability. The document emphasizes that collecting data and practicing the use of these tools is important for effectively solving problems and improving processes.
This document discusses various ways that quality management can be measured. It provides five methods for measuring customer service quality: considering supply and demand trends, asking customers directly via surveys, tracking the number of customer complaints, identifying specific weaknesses, and assessing competitors' offerings. The document also outlines several quality management tools, including check sheets, control charts, Pareto charts, and scatter plots, and provides brief descriptions of how each tool is used.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
This document provides information about quality management organizations and tools. It discusses Total Quality Management (TQM) which is a management philosophy that focuses on customer satisfaction through continuous process improvement. The document recommends implementing an integrated TQM and quality assurance/quality control approach and outlines specific steps for effective quality management including management commitment, training, use of tools like control charts, checklists and histograms.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
This document discusses quality management system templates and provides related resources. It describes templates that can be used to develop policies, procedures, work instructions and other documents needed for a quality management system. The templates are in Microsoft Word format and are designed to help companies comply with standards like ISO 13485 for medical devices. The templates cover key areas like product development, production, monitoring, management review and continual improvement. The document also lists six common quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms.
This document discusses process of quality management. It provides an overview of 7 key steps in quality management: 1) identifying organizational goals, 2) identifying critical success factors, 3) identifying internal and external customers, 4) obtaining customer feedback, 5) implementing continuous improvements, 6) selecting quality management software, and 7) measuring results. It also describes several common quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others. Additional related topics on quality management are listed for further reading.
The document discusses the seven basic tools of quality control: cause and effect diagram, flowchart, checklist, control chart, Pareto chart, histogram, and scatter diagram. These tools help identify quality problems and their causes. Control charts specifically monitor whether a process is operating as expected and include variables control charts and attributes control charts. Statistical process control and acceptance sampling are also statistical quality control techniques.
This document provides information about quality operations management including definitions and examples of common quality management tools. It describes quality operations management strategies and resources for continuous process improvement. Key quality management tools discussed include check sheets, control charts, Pareto charts, and scatter plots. These tools help analyze processes, identify sources of variation, determine if processes are in statistical control, and highlight most important factors for improvement. The document emphasizes the importance of quality and process improvement for business competitiveness.
This document provides an overview of quality management approaches and tools. It discusses Total Quality Management (TQM) which aims for customer satisfaction through continuous improvement and involving customers and employees. Six common quality management tools are then described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to collect and analyze quality data to identify issues and improve processes. Links to additional quality management resources are also provided.
Total Quality Management (TQM) refers to a quality emphasis throughout the entire organization from suppliers to customers. The operations manager plays a key role in addressing service quality, including the tangible aspects, processes, customer expectations, and exceptions. TQM utilizes various statistical process control tools such as check sheets, scatter diagrams, cause-and-effect diagrams, Pareto charts, flow charts, histograms, and control charts to measure quality, identify issues and inspection points, prioritize problems, and monitor processes over time.
This document discusses tools and strategies for food quality management systems. It provides an overview of Podravka, a food company focused on high quality and safe food production. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes by listing additional quality management topics that have related PDF downloads available.
The document discusses the meaning and definition of quality management. It provides definitions from several sources that define quality management as a strategic approach that ensures continuous improvement through the involvement of everyone in an organization. It aims to satisfy customers and employees. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It provides brief descriptions of how each tool is used.
This document discusses quality management manual templates and tools. It provides links to additional quality management resources and outlines what is included in the quality management manual template. The template contains 10 procedures, 26 forms and records, audit checklists, process maps and guidance. It also describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. These tools can be used to collect and analyze quality data.
This document discusses various tools used in the improvement and control phases of quality management. In the improvement phase, tools like brainstorming, flow charts, Pareto charts, failure mode and effects analysis, stakeholder analysis, single minute exchange of dies, benchmarking, design of experiments, 5S's method, and kaizen are explained. In the control phase, control charts, standard operating procedures, standardization, and statistical process control are some of the tools discussed along with their purpose and examples. References used for the information are also listed.
Quality Improvement Of Fan Manufacturing Industry By Using Basic Seven Tools ...IJERA Editor
This document summarizes a case study conducted at Fecto Fan Company in Gujranwala, Pakistan to address quality issues in their fan manufacturing process. The researcher implemented the basic seven quality tools - flow chart, check sheet, histogram, Pareto chart, cause-and-effect diagram, scatter diagram, and control charts. These tools helped identify the major defects causing 80% of issues, determine their root causes, remove the defects, and ensure the manufacturing process is now under statistical control. Implementing quality tools through the DMAIC methodology improved the process and reduced defects.
This document discusses various quality management models including Total Quality Management. It provides details on several TQM models such as Deming Application Prize, Malcolm Baldrige Criteria for Performance Excellence, and ISO quality management standards. It also outlines six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. The document is a reference for information on quality management models, tools, and strategies.
The document discusses quality management in projects. It provides definitions and explanations of key quality management concepts including quality management processes, tools, and strategies. Specific quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document emphasizes that quality should be planned into projects from the beginning through prevention rather than just inspected, and that customer satisfaction is key.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Statistical quality control applied industrial and manufacturing operations. Case study regarding the use of these tools. Description of statistical tools used in quality control and inspection.
IMPLEMENTATION OF STATISTICAL PROCESS CONTROL TOOL IN AN AUTOMOBILE MANUFACTU...Angela Williams
This document discusses the implementation of statistical process control (SPC) tools in an automotive manufacturing unit to reduce defects and costs. Only two main SPC techniques, cause and effect diagrams and control charts, were implemented. The work focuses on defects in a clamp coining tool manufacturing process. Data was collected on rejection rates from January to May 2015, showing a rising trend. Cause and effect analysis using the four M's (man, machine, material, method) identified several root causes. After implementing SPC tools to address the causes, the rejection rate decreased from 9.1% to 5%, reducing costs.
The document discusses various quality control tools used to identify issues, analyze causes, and monitor processes. It provides descriptions and examples of seven key QC tools: Pareto diagram, cause-and-effect diagram, histogram, scatter diagram, check sheet, control chart, and graph/flow chart. These tools can help objectively assess situations, identify problem areas, determine relationships between factors, and maintain process stability. The document emphasizes that collecting data and practicing the use of these tools is important for effectively solving problems and improving processes.
This document discusses various ways that quality management can be measured. It provides five methods for measuring customer service quality: considering supply and demand trends, asking customers directly via surveys, tracking the number of customer complaints, identifying specific weaknesses, and assessing competitors' offerings. The document also outlines several quality management tools, including check sheets, control charts, Pareto charts, and scatter plots, and provides brief descriptions of how each tool is used.
The document discusses 7 quality tools: cause-and-effect diagram, check sheet, control chart, histogram, Pareto chart, scatter diagram, and stratification. It provides descriptions of each tool and guidelines on when they should be used, such as for identifying causes of problems, collecting data, analyzing processes over time, determining if a process is stable, and separating data into categories for clearer analysis.
This document provides information about quality management organizations and tools. It discusses Total Quality Management (TQM) which is a management philosophy that focuses on customer satisfaction through continuous process improvement. The document recommends implementing an integrated TQM and quality assurance/quality control approach and outlines specific steps for effective quality management including management commitment, training, use of tools like control charts, checklists and histograms.
Quality management can be measured using various tools and techniques. Statistical process control charts track variations in a process and identify whether variations are due to common or special causes. Flowcharts visually map out processes to look for inefficiencies. Pareto charts identify the most common problems affecting 80% of issues. Balanced scorecards provide a holistic view of business performance across financial, customer, process, and learning/growth metrics. Employees also help identify quality issues through their direct interactions with customers.
This document discusses quality management system templates and provides related resources. It describes templates that can be used to develop policies, procedures, work instructions and other documents needed for a quality management system. The templates are in Microsoft Word format and are designed to help companies comply with standards like ISO 13485 for medical devices. The templates cover key areas like product development, production, monitoring, management review and continual improvement. The document also lists six common quality management tools - check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms.
This document discusses process of quality management. It provides an overview of 7 key steps in quality management: 1) identifying organizational goals, 2) identifying critical success factors, 3) identifying internal and external customers, 4) obtaining customer feedback, 5) implementing continuous improvements, 6) selecting quality management software, and 7) measuring results. It also describes several common quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms, and others. Additional related topics on quality management are listed for further reading.
The document discusses the seven basic tools of quality control: cause and effect diagram, flowchart, checklist, control chart, Pareto chart, histogram, and scatter diagram. These tools help identify quality problems and their causes. Control charts specifically monitor whether a process is operating as expected and include variables control charts and attributes control charts. Statistical process control and acceptance sampling are also statistical quality control techniques.
This document provides information about quality operations management including definitions and examples of common quality management tools. It describes quality operations management strategies and resources for continuous process improvement. Key quality management tools discussed include check sheets, control charts, Pareto charts, and scatter plots. These tools help analyze processes, identify sources of variation, determine if processes are in statistical control, and highlight most important factors for improvement. The document emphasizes the importance of quality and process improvement for business competitiveness.
This document provides an overview of quality management approaches and tools. It discusses Total Quality Management (TQM) which aims for customer satisfaction through continuous improvement and involving customers and employees. Six common quality management tools are then described in detail: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. These tools can be used to collect and analyze quality data to identify issues and improve processes. Links to additional quality management resources are also provided.
Total Quality Management (TQM) refers to a quality emphasis throughout the entire organization from suppliers to customers. The operations manager plays a key role in addressing service quality, including the tangible aspects, processes, customer expectations, and exceptions. TQM utilizes various statistical process control tools such as check sheets, scatter diagrams, cause-and-effect diagrams, Pareto charts, flow charts, histograms, and control charts to measure quality, identify issues and inspection points, prioritize problems, and monitor processes over time.
This document discusses tools and strategies for food quality management systems. It provides an overview of Podravka, a food company focused on high quality and safe food production. The document then lists and describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It concludes by listing additional quality management topics that have related PDF downloads available.
The document discusses the meaning and definition of quality management. It provides definitions from several sources that define quality management as a strategic approach that ensures continuous improvement through the involvement of everyone in an organization. It aims to satisfy customers and employees. The document also lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It provides brief descriptions of how each tool is used.
This document discusses quality management manual templates and tools. It provides links to additional quality management resources and outlines what is included in the quality management manual template. The template contains 10 procedures, 26 forms and records, audit checklists, process maps and guidance. It also describes six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams and histograms. These tools can be used to collect and analyze quality data.
This document discusses various tools used in the improvement and control phases of quality management. In the improvement phase, tools like brainstorming, flow charts, Pareto charts, failure mode and effects analysis, stakeholder analysis, single minute exchange of dies, benchmarking, design of experiments, 5S's method, and kaizen are explained. In the control phase, control charts, standard operating procedures, standardization, and statistical process control are some of the tools discussed along with their purpose and examples. References used for the information are also listed.
Quality Improvement Of Fan Manufacturing Industry By Using Basic Seven Tools ...IJERA Editor
This document summarizes a case study conducted at Fecto Fan Company in Gujranwala, Pakistan to address quality issues in their fan manufacturing process. The researcher implemented the basic seven quality tools - flow chart, check sheet, histogram, Pareto chart, cause-and-effect diagram, scatter diagram, and control charts. These tools helped identify the major defects causing 80% of issues, determine their root causes, remove the defects, and ensure the manufacturing process is now under statistical control. Implementing quality tools through the DMAIC methodology improved the process and reduced defects.
This document discusses various quality management models including Total Quality Management. It provides details on several TQM models such as Deming Application Prize, Malcolm Baldrige Criteria for Performance Excellence, and ISO quality management standards. It also outlines six common quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. The document is a reference for information on quality management models, tools, and strategies.
The document discusses quality management in projects. It provides definitions and explanations of key quality management concepts including quality management processes, tools, and strategies. Specific quality management tools discussed include check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. The document emphasizes that quality should be planned into projects from the beginning through prevention rather than just inspected, and that customer satisfaction is key.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Statistical quality control applied industrial and manufacturing operations. Case study regarding the use of these tools. Description of statistical tools used in quality control and inspection.
IMPLEMENTATION OF STATISTICAL PROCESS CONTROL TOOL IN AN AUTOMOBILE MANUFACTU...Angela Williams
This document discusses the implementation of statistical process control (SPC) tools in an automotive manufacturing unit to reduce defects and costs. Only two main SPC techniques, cause and effect diagrams and control charts, were implemented. The work focuses on defects in a clamp coining tool manufacturing process. Data was collected on rejection rates from January to May 2015, showing a rising trend. Cause and effect analysis using the four M's (man, machine, material, method) identified several root causes. After implementing SPC tools to address the causes, the rejection rate decreased from 9.1% to 5%, reducing costs.
Six Sigma is a data-driven approach to improving processes by identifying and removing defects. It aims for near perfect process quality. The goal is to improve end products or services by reducing errors. Six Sigma refers to producing only 3.4 defective parts per million.
Motorola first introduced Six Sigma in the 1970s to address quality issues. It connects quality improvement to cost reduction. The concepts were officially formulated in 1986 and have grown in popularity since. Six Sigma uses two methods: DMAIC for improving existing processes and DMADV for designing new defect-free processes. It is applied across entire organizations rather than just specific teams.
The document then provides a case study example of a company using the DMAIC
This document discusses quality control tools and techniques for manufacturing industries. It describes seven basic quality tools - cause and effect diagrams, check sheets, control charts, flow charts, histograms, Pareto diagrams, and scatter diagrams. Each tool is defined and its purpose explained. Additional quality management tools and techniques are also listed, including affinity diagrams, arrow diagrams, and design of experiments. The conclusion emphasizes that using tools and techniques is vital for successful quality improvement processes. Management commitment to planning, training, and encouraging employees to use these tools can help companies improve quality performance.
This is PMBOK Guide Planning Process Group Part three. It includes five Knowledge Area - Quality, Human Resource, Communications, Procurement and Stakeholder management - with five processes - Plan Quality Management, Plan Human Resource Management, Plan Communications Management, Plan Procurement Management, Plan Stakeholder Management - .
Quality Circle: An Effective Tool for Improvement Employees Performancepaperpublications3
Abstract: Quality circle is a tool for increase employees performance and linking workers to the process of decision making. It consists of small group of workers from all levels of the organizational structure. The main purpose of circle is that every worker desires to take participate in making the environment of organizational a better place to work .The present study focus on quality circle and its seven basic tools .
This document discusses quality risk management process for aseptic processes. It begins by defining an aseptic process as the manipulation of sterile components in a controlled environment to produce a sterile product. Aseptic processes carry a high risk of contamination, so quality risk management is essential. The document then discusses quality risk management and its uses, including determining the scope of audits, evaluating changes, and identifying critical process parameters. Finally, the document lists several quality management tools like check sheets, control charts, Pareto charts, and histograms that can be used in quality risk management.
After World War II, Japan adopted quality as an economic strategy and selected seven statistical tools to analyze quality problems and drive continuous improvement. The seven tools - Pareto charts, cause-and-effect diagrams, histograms, control charts, scatter plots, check sheets, and flow charts - can identify up to 95% of issues. Each tool has a specific purpose, such as prioritizing problems with Pareto charts or identifying relationships between variables with scatter plots. Using these tools, Japanese companies were able to dramatically improve quality and economic performance.
This document discusses various quality management systems and standards used in the pharmaceutical industry. It covers topics like knowledge management, quality by design approach, quality metrics, operational excellence, quality management review, quality tools like control charts and histograms, OHSAS guidelines, NABL certification and accreditation, differences between certification and accreditation, and fields of testing covered by NABL.
The document discusses project quality management. It defines quality and project quality management, which ensures projects satisfy needs. Quality is planned through quality planning and quality standards. Quality assurance evaluates performance while quality control monitors results. Tools like control charts, Pareto charts and sampling are used. Statistical concepts like six sigma and ISO standards help manage quality.
Use of Seven Quality Tools to Improve Quality and Productivity in Industryijsrd.com
This document discusses the use of seven quality tools (7 QC tools) to improve quality in industry. It describes each of the 7 tools: check sheets, flow charts, histograms, Pareto charts, cause-and-effect diagrams, scatter diagrams, and control charts. These tools can be used to collect and analyze quality data to identify problems, determine root causes of issues, and monitor processes over time to ensure statistical control. The document asserts that continuous use of these simple quality control tools can improve product quality, enhance employee skills at problem-solving, and help create a quality culture within an organization.
This document discusses traditional quality tools and total quality management (TQM) in the IT industry. It describes several traditional quality tools including flowcharts, check sheets, Pareto charts, control charts, histograms, scatter diagrams, and cause-and-effect diagrams. It then discusses how TQM services help ensure reliable information systems in the IT industry through tools like ERP, SAP, and Python. The document uses Tata Consultancy Services (TCS) as a case study, outlining how TCS implemented quality control procedures and maturity models to achieve continuous process improvement.
This document provides an overview of various quality tools that can be used to improve processes and solve problems. It discusses both traditional "old" tools like cause-and-effect diagrams, histograms, Pareto charts, and control charts, as well as newer tools introduced in the last 10-15 years. The document categorizes and describes the purpose and use of each tool, including how they can help with cause analysis, decision-making, process analysis, data collection, idea creation, and project planning. Key tools covered include fishbone diagrams, check sheets, scatter plots, affinity diagrams, Gantt charts, and PDCA/PDSA cycles.
This document discusses quality management strategy and provides resources and tools for quality management. It begins by explaining that having a clear quality management strategy is important for PRINCE2 projects to ensure customer expectations are met. It then provides details on developing a quality management strategy, including defining quality expectations, standards, and management procedures. Finally, it introduces several quality management tools, including check sheets, control charts, Pareto charts, and scatter plots.
This document discusses key trends in quality management expected to gain momentum in the coming decade. It outlines six trends: stringent supplier quality standards, change management initiatives for consistent work processes, quality management continuously evolving and integrating with project management, using lean management for continuous business growth, strategic quality planning by quality departments, and combining quality and project management principles. It also provides examples of common quality management tools including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. Finally, it lists additional quality management topics covered in downloadable PDF files.
This document provides an overview of quality management theory and tools. It discusses six commonly used quality management tools: check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It also lists additional topics related to quality management theory and provides links to download PDF guides on quality management systems, courses, and standards.
This document discusses quality and risk management in a diagnostic imaging department. It provides details on the department's quality and risk management program, including key aspects like quality assessment and improvement committees. It also describes the quality management system implemented, focusing on continual quality improvement. Finally, it discusses some common quality management tools used, like check sheets, control charts, and Pareto charts.
This document provides information about quality management for a project. It discusses quality planning, which involves identifying relevant quality standards and how to satisfy them. Quality planning should be done during project planning and coordinated with time, risk, and other planning. The document lists several quality management tools, including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, histograms. It also provides links to additional quality management resources.
This document discusses retail service quality management. It provides an overview of quality management tools that can be used for retail service quality management including check sheets, control charts, Pareto charts, scatter plots, Ishikawa diagrams, and histograms. It also discusses MetricStream quality management software solutions that can help retailers manage quality across their supply chains and operations. Key benefits of these solutions include standardizing processes, automating quality processes, providing visibility across operations, and facilitating risk management.
Similar to Review on Quality Management using 7 QC Tools (20)
The Jaisalmer Wind Park is India's 2nd largest operational onshore wind farm. This project located in Jaisalmer district, Rajasthan. The project, developed by Suzlon Energy.
Commission Date: August 2001
Type: Onshore
Installed Capacity: 1064 MW
The main objective of this study is to increase the productivity against the demand. The Quality related issue regarding material&
material shortage online is not in the scope of this study. Taking a value stream perspective means working on the big picture, nota just
individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities. This
study also includes layout improvement and time study report.
This research shows marking benefit associated with the implementation of lean program because this project shows an industrial case
study of MCCB manufacturing Assembly line.
This document discusses improving the quality sigma level of copper terminals through applying a QC story methodology. It begins by introducing QC stories and their use in systematically solving problems to improve sigma level and reduce defects per million (DPM). The paper then describes analyzing production data for copper terminals to identify problematic components, defects, and potential causes. Various quality control tools are applied including Pareto charts, cause-and-effect diagrams, and why-why analysis to validate root causes. Corrective actions include modifying fixtures to eliminate misalignment and allow manufacturing two components per cycle. Experimental results show reductions in DPM levels and increases in sigma level and process capability, demonstrating the effectiveness of applying a QC story approach.
In the competitive and economic market, Industries needs shorter lead time, low cost and high customer demand satisfaction. So such industries face cost reduction and efficiency challenges. To sustain and stabilize market industries have to find out ways to reduce production time, cost and elimination of waste to improve operating performance and product quality. Value stream mapping technique maps material flow, information flow, activities and other process elements that are part of supply chain. The visual picture simplifies lean approach by identifying the value-added and non-value added stages. The primary objective of this study is to increase the productivity against the demand. The Quality related issue regarding material & material shortage online is not in the scope of this study. A value stream means working on the big picture,
not a just individual process; and not a just optimization but an actual improvement. It covers value adding as well as non-value-adding activities
his research shows benefit associated with the implementation of the lean program. This case study shows a manufacturing industry case study.
The focus of the approach is on cost reduction through eliminating non value added activities via applying a management philosophy which focused on identifying and eliminating waste from each step in the production chain respective of energy, time, motion and
resources alike throughout a product’s value stream, known as lean. The lean system was developed with reduced non value added activities so that greatly reduces the seven Mudas. People work with a greater confidence, with greater ease, and with greater peace than the typical
manufacturing facility. The study of current state map shows the areas for improvement and identifying the different types of wastes. The present and future state of value stream map are constructed to improve the production process by minimizing the non-value added activities
which are identified from the VSM. Before Current State Value Stream Mapping (CSVSM) tool used in panel manufacturing industry by
focusing both on processes and their cycle times for a product Power Control Centre (PCC) & Motor Control Centre (MCC) in present scenario.
The point of interest of the approach is on the development of sigma level with the aid of using QC story which incorporates the best manipulate and quality improvement. All sorts of first-rate control efforts directly enhance sigma level of components. Additionally,
through decreasing the level of Defectives consistent with defectives per million (DPM) which immediately affect to the sigma stage.
Here, within the paper certain technique will be discussed to address the problems and dreams which can be an improvement in sigma stage for the shop and decreased DPM level will be done. In the course of machining operation, nos. of types of defects would be happened. Categories those defects and after analyze a few standards could be made so that possibility for going on the defects may be
decreased and Sigma level might be improved. The getting to know of the quality controls procedure has to be surpassed directly to
everyone within the company. Total Quality Control can be achieved by proper methodology and the initially start up for fully implementing TQM may take few months for any company to claim to be a TQM company. Thereafter, the standardized procedures may have to be followed by all concerned to retain the progress achieved.
All types of engine-driven vehicles from automobiles, airplanes, aircraft carriers, and agricultural equipment to Zambonis may have electric motors to perform a variety of functions. In electric vehicles, diesel-electric vehicles, and hybrid vehicles, electric motors are used to propel the vehicle. The motor controllers in-vehicle applications are integrated into the vehicle.
The machine is very much advance and simple to construct. The working of machine is easy and eco friendly . Its is the most economical vehicle as there is no fuel consumption. The cost of all the component is less and the component should be easily available in the market.so presently it is common to use in developing countries.
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Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
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Review on Quality Management using 7 QC Tools
1. International Journal of Trend in Research and Development, Volume 5(2), ISSN: 2394-9333
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Review on Quality Management using 7 QC Tools
1
Nikunjkumar A. Parmar and 2
Shubham Awasthi,
1,2
Department of Mechanical Engineering, Parul Institute of Technology, Vadodara, India
Abstract—Today’s competitive environment has, lower ma-
nufacturing cost, more productivity in less time, high quality
product, defect free operation are required to follow to every
foundry man. For the improvement of products quality there
are diff-diff quality tools used in various review papers. Here I
am going to review on these papers and identify the different
way of uses of those tools in manufacturing industries to
increase the quality of the product. There are so many defects
in the manufacturing process and these defects directly affects
on productivity, profitability and quality level of organization.
This study is aimed to review the research work made by
several researcher and attempt to get technical solution for the
various defects and to improve the entire process of the
manufacturing.
Keywords— Quality Circle, 7 Quality Control Tools, PDCA,
DMAIC
I. INTRODUCTION
The 7 QC Tools are simple statistical tools used for problem
solving. These tools were either developed in japan or intro-
duced to japan by the Quality Gurus such as Deming and
Juran. In terms of importance, these are the most useful. Kaoru
Ishikawa has stated that these 7 tools can be used to solve 95
percent of all problems. These tools have been the foundation
of Japan's astonishing industrial resurgence after the Second
World War. For solving quality problems seven QC tools used
are Pareto Diagram, Cause & Effect Diagram, Histogram,
Control Charts, Scatter Diagrams, Graphs and Check Sheets.
All this tools are important tools used widely at manufacturing
field to monitor the overall operation and continuous process
improvement. This tools are used to find out root causes and
eliminates them , thus the manufacturing process can be impr-
oved. The modes of defects on production line are investigated
through direct observation on the Production line and
statistical tools.
A. Quality Control tools
1) Pareto Diagram
Pareto Diagram is a tool that arranges items in the order of the
magnitude of their contribution, thereby identifying a few
items exerting maximum influence. This tool is used in SPC
and quality improvement for prioritizing projects for
improvement, prioritizing setting up of corrective action teams
to solve problems, identifying products on which most
complaints are received, identifying the nature of complaints
occurring most often, identifying most frequent causes for
rejections or for other similar purposes. The origin of the tool
lies in the observation by an Italian economist Vilfredo Pareto
that a large portion of wealth was in the hands of a few people.
He observed that such distribution pattern was common in
most fields. Pareto principle also known as the 80/20 rule is
used in the field of materials management for ABC analysis.
20% of the items purchased by a company account for 80% of
the value. These constitute the A items on which maximum
attention is paid. Dr.Juran suggested the use of this principle to
quality control for separating the "vital few" problems from the
"trivial many" now called the "useful many".
2) Cause & Effect Diagram
A Cause-and Effect Diagram is a tool that shows systematic
relationship between a result or a symptom or an effect and its
possible causes. It is an effective tool to systematically
generate ideas about causes for problems and to present these
in a structured form. This tool was devised by Dr. Kouro
Ishikawa and as mentioned earlier is also known as Ishikawa
Diagram.
3) Histogram
Histograms or Frequency Distribution Diagrams are bar charts
showing the distribution pattern of observations grouped in
convenient class intervals and arranged in order of magnitude.
Histograms are useful in studying patterns of distribution and
in drawing conclusions about the process based on the pattern.
4) Control Charts
Variability is inherent in all manufacturing processes. These
variations may be due to two causes:
i. Random / Chance causes (un-preventable).
ii. Assignable causes (preventable).
Control charts were developed by Dr. Walter A. Shewhart
during 1920's while he was with Bell Telephone Laboratories.
These charts separate out assignable causes. Control chart
makes possible the diagnosis and correction of many
productions troubles and brings substantial improvements in
the quality of the products and reduction of spoilage and
rework. It tells us when to leave a process alone as well as
when to take action to correct trouble.
5) Scatter Diagram
When solving a problem or analyzing a situation one needs to
know the relationship between two variables. A relationship
may or may not exist between two variables. If a relationship
exists, it may be positive or negative; it may be strong or weak
and may be simple or complex. A tool to study the relationship
between two variables is known as Scatter Diagram. It consists
of plotting a series of points representing several observations
on a graph in which one variable is on X-axis and the other
variable in on Y-axis. If more than one set of values are
identical, requiring more points at the same spot, a small circle
is drawn around the original dot to indicate second point with
the same values. The way the points lie scattered in the
quadrant gives a good indication of the relationship between
the two variables.
6) Graphs
Graphs of various types are used for pictorial representation of
data. Pictorial representation enables the user or viewer to
quickly grasp the meaning of the data. Different graphical
representations of data are chosen depending on the purpose of
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the analysis and preference of the audience. The different types
of graphs used are as given below:
1. Bar Graph -To compare sizes of data
2. Line Graph- To represent changes of data
3. Gantt chart -To plan and schedule
4. Radar chart -To represent changes in data (before and
after)
5. Band Graph -Same as above
7) Check Sheets
As measurement and collection of data forms the basis for any
analysis, this activity needs to be planned in such a way that
the information collected is both relevant and comprehensive.
Check sheets are tools for collecting data. They are designed
specific to the type of data to be collected. Check sheets aid in
systematic collection of data. Some examples of check sheets
are daily maintenance check sheets, attendance records,
production log books, etc. Data collected using check sheets
needs to be meaningfully classified. Such classification helps
gaining a prelim-nary understanding of relevance and
dispersion of the data so that further analysis can be planned to
obtain a meaningful output. Meaningful classification of data
is called stratification. Stratification may be by group, location,
type, origin, symptom, etc.
7 QC TOOLS THROUGH PDCA-CYCLE:
In successful application of quality tools an implemented
quality management system is an advantage. The quality
management principles are a starting point for the company’s
management striving for continuous efficiency improvement
over a long period of time and customer satisfaction. A quality
management system is based on the integrity of all production
and support resources of a certain company. It enables a
faultless process flow in meeting related contracts, standards
and market quality requirements. Implementation of a quality
management system is always a part of a company’s
development process entification and/or process analysis.
Continuous improvement as a fifth principle of QMS (ISO
9001:2000) could not be realized without quality tools which
are presented through four groups of activities of Deming’s
quality cycle or PDCA-cycle, The PDCA-cycle is an integral
part of process management and is designed to be used as a
dynamic model because one cycle represents one complete
step of improvement. The PDCA-cycle is used to coordinate
continuous improvement efforts. It emphasizes and
demonstrates that improvement programs must start with
careful planning, must result in effective action, and must
move on again to careful planning in a continuous cycle – the
Deming’s quality cycle is never-ending. It is a strategy used to
achieve breakthrough improvements in safety, quality, morale,
delivery cost, and other critical business objectives. The
completion of one cycle continues with the beginning of the
next. A PDCA-cycle consists of four consecutive steps or
phases, as follows:
Plan - analysis of what needs to be improved by
taking into consideration areas that hold opportunities
for change. Decision on what should be changed.
Do - implementation of the changes that are decided
on in the Plan step.
Check - Control and measurement of processes and
products in accordance to changes made in previous
steps and in accordance with policy, goals and
requirements on products. Report on results.
Act - Adoption or reaction to the changes or running
the PDCA-cycle through again. Keeping
improvement on-going
II. LITERATURE SURVEY
The literature survey consists of ten papers which explain the
flexibility of different Quality tools and its scope. Here, in
survey I am going to review on different Quality tools which
are used in small scale industries. The importance of QC tools
is explained by various authors in this survey.
Jitendra A. Panchiwala [1] presented Brief study and his
understanding about Quality and Productivity improvement in
small scale foundry industry. In this paper he is aimed to
review the research work made by several researchers and an
attempt to get technical solution for minimizing various
casting defects and improve the entire process of casting
manufacturing. he conclude from several research work that
modem method of casting component using various software
and simulation techniques is really a boon for the industrial
sector. To complete globally, foundry men have to move ahead
from the slogan of “satisfying customer” and adopt and
ruinously endeavour for “customer delight”. Meeting
customers’ demands will not be sufficient. requirements will
be to exceeding them through quality and productivity
improvement. After preferring paper he select some of tools
and techniques for future work like SPC are quite expensive to
implement in small scale industries but this method gives
better results than any other techniques. These techniques can
be useful not only to reduce the rejection rate but also in other
various departments in industries like inventory control at
various machines in machine shop to get process variation and
to identify optimum values of parameters etc. many
researchers have conducted experiments to find out the sand
process parameters to get better quality casting. They have
successfully reduced the casting defects considerably up to 6%
by proper selecting techniques and parameters. DoE is the
technique which can be implemented in any processing
industry and in India there are number of small scale industries
which can implement such techniques to improve the yield
which give standard process parameter and increase the
effective capacity of the unit.
Shyam H. Bambharoliya [2] reviews some selected factors to
reducing rejection rate in small scale machining unit using 7
Quality Control Tools. This paper aims to identify the
problems related to different products and probable solutions
based on that problem. Use of 7 QC Tools is best way to
reduce rejection and defect of product after analysing of
manufacturing process. Another advantage is increasing
customer satisfaction by use of 7 QC Tools in today compet-
itive market. Based on application of these tools will increase
the level of standard products which they required as vision of
an organization. After reviewing all research papers different
defects are observed by application of 7 QC tools and
individual solution is given with probable root causes. After
studying all problems related to each research papers
individual solutions are provided as per requirement .based on
that problems effect on production is changed as increase in
productivity or reduction of rejection rats.
Varsha M. Magar [3] investigate in this paper about the
systematic use of 7QC tools. The main aim of this paper is
about to provide an easy introduction of 7 QC tools and to
improve the quality level of manufacturing processes by
applying it. QC tools are the means for collecting data,
analysing data, identifying root causes and measuring the
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results. These tools are related to numerical data processing.
All of these tools together can provide great process tracking
and analysis that can be very helpful for quality improvements.
These tools make quality improvements easier to see,
implement and track. The work shows continuous use of these
tools upgrades the personal characteristics of the people
involved. It enhances their ability to think generate ideas, solve
problems and do proper planning. The development of people
involved. It enhances their ability to think generate ideas, solve
problem and do proper planning. The development of people
improves the internal environment of the organization, which
plays a major role in the total quality culture. Statistical QC is
chiefly concerned in making sure that several procedures and
working arrangements are in place to provide for effective and
efficient statistical processes, to minimize the risk of errors or
weaknesses in procedures or systems or in source material
seven QC tools are most helpful in troubleshooting issues
related to quality. All processes are affected by multiple
factors and therefore statistical QC tools can be applied to any
process. The continuous use of these tools upgrades the
personal characteristics of the people involved. it enhances
their ability to think generate ideas, solve problems and do
proper planning.
Sanjeev Kadian [4] Present the influence of using Lean
Manufacturing Technology to increase the production in
scientific equipment’s manufacturing industry in this paper. In
this case study the scientific equipment’s manufacturing
company employs part of the “seven basic quality control (QC)
tools” to significantly improved the process rejection and
rework. By implementing these quality tools as the problem
solving techniques the rejection rate was reduced from 7.3% to
4% and Rework rate from 20% to 11.33%.the competitive
business in the scientific market has enhanced the company in
this study to provide lower cost quality product. Quality
improvement program had been designed and been
implemented to increase the potential of profit. By improving
the quality, it is also mean to improve the productivity and
lower the rejection rate. The key of quality improvement of
this company is not only focusing an external customer but its
internal customer. The purpose of this study is to improve the
quality of circular 15x lenses used in scientific equipment’s.
the objective of this study is to reduce the rework rate from
20% to 11.33% and rejection rate from 7.3% to 4%. An
improvement action plan had been set up, then the data had
been collected for the 4 weeks from 10 lots and re-examine the
rework and rejection results. The rework has reduced to
11.33% from 20% and rejection has reduced 4% from 7.3%.
from the analysis he find that after removing the various root
cause of rejection and rework, the rejection of lenses is
reduced by 45.20% and rework of lenses is reduced by
43.35%. this also have a positive effect on the productivity of
the lenses as the start of this project the productivity of lens
was noted as:(278/300)x100=92.6%.As after the implement-
ation, the productivity was noted as : (288/300)x100=96%. It
was noted that even a simple QC tools can make significant
improvement to the company.
Mayank Dev Singh [5] in their paper, “Productivity
improvement by using quality control tools- A Case study of
chartered Rubber Product”, have study about the productivity
improvement of the chartered rubber product. They are
following various orthodox customs, improper utilization of
space & inaccurate arrangement of machineries with respect to
one another. Hence they are taking a lot of time for
undertaking various tasks and also more human effort is
required. Thus the help of SLP techniques & with the help of
various quality control tools, the non- value added activities
are eliminated. Thus the productivity has been increased with
reduced human efforts & employees work satisfaction. Here on
the basis of SLP he have studied & analyses the layout &
working process of chartered rubber products. We have
identified the degree of necessity of placing the equipment
close to each with the help of SLP. We tried to eliminate the
wasteful elements from the plant & on the basis of SLP. We
have designed a new plant layout. The new layout on the basis
of SLP reduces about 185.3ft of the distance travelled during
the entire manufacturing process. Hence the entire
manufacturing time gets reduced. Thus the over-all
productivity of the chartered rubber gets increased.
Shantanu kulkarni [6] in their paper, “Quality circle to improve
productivity: A case study in a medium scale alumi-num
coating industry”, have study about the QC concept in a
coating unit which illustrates how the QCs help in improving
the productivity. The factors which are important for the
success of the quality circles were also explained here and the
study can serve as s guide which would be useful for the small
and medium scale industries who are interested in introducing
the quality circles. Here the main objective was to improve the
productivity of the chromating process which is one of the
important processes in the plant. For that they were form one
quality circle of 8 members working in the chromating section
of the plant with 1 manager as a facilitator. After the formation
of the quality circle they are able to identify the problem and
after the brainstorming meeting with the team members and
discussion with the plant head about the various ways to
improve the productivity of the process some areas of
improvement were identified. To select the problem to be
solved 3P analysis was performed. By adopting the “3P
SYSTEM” proprietary priority preferential method, they were
able to classified all category of problems based in their
approach to maintenance and nature of work. Here in first P
they identified five sensible aspects of their work area as the
proprieties of their company. Then in P2 they have been
further prioritized by weight age system and it was observed
that highest cost was being incurred in pre-treatment which
was 67% compared to others. 3P- preference shows
consumption cost of various components of pre-treatment unit.
From the data collection they were able to identified that the
gas consumption maximum in all sensible groups. Now they
were move towards the next step which is to reduce the gas
consumption for that they are making action plan. A solution
of putting a solar heater was proposed and implemented
through the quality circle. The various steps for the
implementation of the quality circle were followed around
38% of saving and hence increase in the productivity was
achieved by the implemented modification.
Sulaman Muhammad[7] in their paper, “Quality Improvement
of Fan Manufacturing Industry by using basic seven tools of
Quality: A Case Study” investigate about total five type of
defect occurring in fan manufacturing process of “Fecto Fan
Company”. Who are specialized in manufacturing all type of
ceiling Fans. There were two sections in plant, manufacturing
and assembling. After identifying the problems now the goal
was to eliminate all these problems and to ensure flawless
manufacturing process. For this purpose basic seven tools of
quality were implemented. Tools were implemented through
DMAIC methodology. Every tool was used in different step of
DMAIC methodology for better results. This better result was
get because of managerial staff of the company who removes
these defects from the manufacturing process. After the
removal of defects from manufacturing process control chart
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was implemented to make it sure that process is now under
control. At the last author of this paper was Strengthen the
famous statement of quality guru Dr. Ishikawa that “95% of
quality related industrial problems can be solved simply by
applying seven basic tools of quality”
Shantanu Welekar [8] in their paper, “Quality Circle to
improve Productivity”, deals with various aspects of Quality
Circle and how improvement can be made by adopting
practices of Quality Circle in chemical industries. The paper
also presents a comparative discussion of various features of
Quality Circle, Quality Improvement Group and work
Group/project team. The paper describes a case study of QC
concept in a chemical industry which illustrates the
effectiveness of QC approach. Here Alka industry
manufactures anodizing of aluminum products and powder
coating of GI and CI sheets. In Alka industry Implementation
of Quality Circle led to identification of excessive gas
consumption in the furnaces due to reasons attributed to
deficiency in man, material, method and machine. Each
deficiency was handled separately and corrective measures are
implemented to optimize the gas Consumption in the plant.
CONCLUSION Quality Circle technique proved to be very
effective for the problem selected by the quality circle
members for the powder coating industry. Optimization of gas
consumption in the furnaces led to reduction in maintenance
costs, enhancement in reliability and availability of the
equipment, enhancement in morale and development of a sense
of team dynamics among the employees, which proved to be
beneficial to the employees and the organization as a whole.
Dr. Mahesh M. Bhagwati [9] in their paper, “Cause & Effect
Analysis for the Productivity improvement of TORNOS Sigma
20II : A Case Study” the issue of low productivity of
TORNOS 20II w.r.t another mentioned products is deal with.in
this case study investigated table describes the recommended
and actual rate of production. All the major possible causes
contributing to the high rate of rejection, as mentioned in case
study are found and discussed with the management of an
organization. As a part of First phase of implementation, check
sheets have been designed and data has been collected. As a
part of proposed work, it is decided to collect data of 25 groups
each having 4 parts and carry out the Pareto analysis to
determine the critical dimension. Further construct the control
charts and determine the process capability to check whether
the process is in control or not. If the process is not in control,
then the assignable causes need to be tackled referring the
Cause & Effect Diagram & if it is in control then natural
causes need to be focused so that the process will not only be
in control but would also be centered and this process to be
conducted on regular basis so that it leads to continuous
improvement which ultimately results in improved
productivity.
Ghazi Abu Taher [10], in their paper “Improving Quality and
Productivity in Manufacturing process by using Quality
Control chart and Statistical Process Control Including
Sampling and Six Sigma.” Investigate about to increase the
quality and productivity of a spur gear manufacturing
company. In this case study the main aims to find out the
effective way of improving the quality and productivity of a
production line in manufacturing industry. The objective is to
identify the defect of the company and create a better solution
to improve the production line performance. For that data of
the selected assembly line factory are collected, studied and
analyzed. The defect with the highest frequency will be the
main target to be improved. various causes of the defect will
be analyzed and various solving methods will be present. The
best solving method will be chosen and proposed to the
company and compared to the previous result and production.
There are several approaches to choose from when the goal is
to increase the quality and productivity of a spur gear
manufacturing company. The techniques used in this paper
have been limited due to insufficient time and resources. In
this paper only the quality tools have been used and tried to
find the most effective way of quality testing and improving
productivity. These have given a better solution. But if any one
uses other technique of industrial engineering then he will get
more benefit than this paper. If it is decided to use the data in
future studies it would be interesting .By this way it may be
possible to specify high quality and productivity. The quest for
higher quality and productivity will never stop and the project
extreme spur gear manufacturing will proceed. An important
suggestion for future work is to test if the findings are
applicable to other products and machines within the factory.
A deeper understanding could possibly make the conclusions
from this study more understandable and easier to apply to
other products.
Acknowledgment
I would like to present thanks to my college/institute guide Mr.
Shubham Awasthi and my internal guide Mr.Keyur Mewada
even my colleagues.
CONCLUSION
These following conclusion were derived from the review of
above mentioned papers.
1. 7 All majority industries are use Quality Circle Tools
beca-use they are very simple and easy to use.
2. By reducing rework and rejection rate using 7 Quality
control tools we are able to improve the Quality.
3. Reduction in rejection is indirectly improving both
prod-uctivity and profitability of the organization.
4. 7 Quality control tools have shown more better results
in quality improvement as referred many use studies.
References
[1] Jitendra A.Panchiwala,“Review On Quality And Productivity
Improvement In Small Scale Foundry Industry”, “Vol – 4,Issue-2015
(Ijirset)”
[2] Shyam H. Bambharoliya, “Reducing Rejection Rate In Small Scale
Machining Unit Using 7 Quality Control Tools - A Review”, “Vol- 3,
Issue – 4, 2015( Ije-Dr)”
[3] Varsha M. Magar, “Application Of 7 Quality Control (7 Qc) Tools For
Continuous Improvement Of Man-Ufacturing Processes”, “ Vol -2,
Issue- 4, June -2014 (Ijeres)”
[4] Sanjeev Kadian ,“Increase Production In Small Scale Industry Of India
By Use Of Lean Manufacturing Technology”, “ Vol -3, Issue -4 , April
2015(Iijme)”
[5] Mayank Dev Singh, “Productivity Improvement By Using Quality
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[6] Shantanu Kulkarni, “Quality Circle To Improve Productivity: A Case
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[8] Dr. Mahesh M. Bhagwati [9] In Their Paper, “ Cause & Effect Analysis
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[9] Shantanu Welekar [8] In Their Paper, “Quality Circle To Improve
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[10]Ghazi Abu Taher [10], In Their Paper “Improving Quality And
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