This document discusses overall equipment efficiency (OEE) and identifies various losses that can impact efficiency. It defines OEE as a composite measure of availability, performance rate, and quality rate. Sixteen major losses are grouped into seven losses impacting equipment efficiency, losses impacting machine loading time, five losses impacting human work efficiency, and three losses impacting material and energy efficiency. Examples are provided to demonstrate how to calculate OEE based on various time and production metrics.
The document discusses the application of work study concepts in apparel manufacturing at Bombay Rayon Fashions Limited. It aims to optimize workplace utilization and productivity through analyzing existing plant layouts and workflows using process charts. Specific areas covered include redesigning the cutting, sewing and finishing sections layouts which improved space utilization and increased production output. Workstation designs and implementation of work study charts helped enhance efficiency.
Standard minute value( SMV) in garments, calculation and importanceMazharul Islam
This document discusses the calculation and importance of standard minute value (SMV) in the apparel industry. It defines SMV as the basic time plus allocated allowances needed to produce a garment. Basic time is calculated as the observed time multiplied by a rating factor and represents the likely minimum time required. Observed time is the recorded time taken under close observation. Rating factors adjust for worker speed. SMV is important for costing, setting targets, measuring efficiency, and planning factory production. Formulas are provided for calculating basic time and SMV from observed cycle times under different conditions.
This case study describes how MTM tools and Lean principles were used to improve the efficiency of an outdoor cooking appliance production line. The production line originally had 4 operators working in separate workstations with significant wait times. MTM analysis was used to measure task times and identify opportunities. The line was rebalanced into a U-shape with tasks grouped by zone. Operators now push carts between zones, completing full product cycles. This reduced waste and improved flexibility. MTM databases were created to standardize times and enable balancing for new products. The result was a 99.6% balanced line with 4 operators, increasing productivity by 34.68%.
Presentation on time study of apparel industryTanmoy Antu
This document discusses the importance of time studies for improving productivity in the garments industry in Bangladesh. It provides an overview of a garments company called KB Apparels Ltd and describes how they implemented time studies on the processes for making T-shirts and athletic shirts. The time studies identified bottlenecks in the processes and areas where line speeds needed to be balanced. Recommendations included assigning more skilled operators to bottleneck areas and quick responses from workers to meet production targets.
Time and motion studies are important for maximizing productivity in the garment sector. Such studies set standard targets for production to ensure shipments are completed on time. Conducting time and motion studies determines the optimal time needed for different operations by different workers. Allowances must be provided for factors like breaks, machine issues, and interferences. Analyzing body motions can reduce inefficient movements. Setting standard times using time and motion studies helps garment factories deliver products to buyers on schedule.
This document summarizes a presentation on applying industrial engineering concepts like work study, capacity analysis, and line balancing in garment manufacturing. It discusses defining work study, setting objectives to improve productivity and efficiency, analyzing capacity before and after experiments, calculating standard times, balancing lines to minimize cycle times and smooth workloads, and concluding that line balancing reduced times and improved efficiency. The results showed balancing reduced operators from 80 to 71 and lowered the standard minute value from 52 to 46, meeting the goals of minimizing times and costs.
Analysis of sewing section efficiency by using time study technique in Appare...Khairul Bashar
This document discusses using time study techniques to analyze sewing section efficiency in the apparel industry. It begins with introducing industrial engineering and activities like work study and time study. It then discusses how time studies are conducted including setting objectives, using tools like stopwatches, breaking jobs into elements, and calculating basic and standard times. The document presents methodology for conducting a time study on a sewing section, results showing production increased to 220 pieces per hour after analysis, and concludes that time studies are important for improving production efficiency in garment industries.
Effective ways to improve productivity in garment production include:
1. Conducting motion studies and correcting faulty motions to reduce operation cycle times and improve labor productivity up to 100%.
2. Checking hourly operator capacity to keep operators productive and identify ways to reduce cycle times.
3. Using the best possible line layouts to reduce transportation time and improve line productivity.
The document discusses the application of work study concepts in apparel manufacturing at Bombay Rayon Fashions Limited. It aims to optimize workplace utilization and productivity through analyzing existing plant layouts and workflows using process charts. Specific areas covered include redesigning the cutting, sewing and finishing sections layouts which improved space utilization and increased production output. Workstation designs and implementation of work study charts helped enhance efficiency.
Standard minute value( SMV) in garments, calculation and importanceMazharul Islam
This document discusses the calculation and importance of standard minute value (SMV) in the apparel industry. It defines SMV as the basic time plus allocated allowances needed to produce a garment. Basic time is calculated as the observed time multiplied by a rating factor and represents the likely minimum time required. Observed time is the recorded time taken under close observation. Rating factors adjust for worker speed. SMV is important for costing, setting targets, measuring efficiency, and planning factory production. Formulas are provided for calculating basic time and SMV from observed cycle times under different conditions.
This case study describes how MTM tools and Lean principles were used to improve the efficiency of an outdoor cooking appliance production line. The production line originally had 4 operators working in separate workstations with significant wait times. MTM analysis was used to measure task times and identify opportunities. The line was rebalanced into a U-shape with tasks grouped by zone. Operators now push carts between zones, completing full product cycles. This reduced waste and improved flexibility. MTM databases were created to standardize times and enable balancing for new products. The result was a 99.6% balanced line with 4 operators, increasing productivity by 34.68%.
Presentation on time study of apparel industryTanmoy Antu
This document discusses the importance of time studies for improving productivity in the garments industry in Bangladesh. It provides an overview of a garments company called KB Apparels Ltd and describes how they implemented time studies on the processes for making T-shirts and athletic shirts. The time studies identified bottlenecks in the processes and areas where line speeds needed to be balanced. Recommendations included assigning more skilled operators to bottleneck areas and quick responses from workers to meet production targets.
Time and motion studies are important for maximizing productivity in the garment sector. Such studies set standard targets for production to ensure shipments are completed on time. Conducting time and motion studies determines the optimal time needed for different operations by different workers. Allowances must be provided for factors like breaks, machine issues, and interferences. Analyzing body motions can reduce inefficient movements. Setting standard times using time and motion studies helps garment factories deliver products to buyers on schedule.
This document summarizes a presentation on applying industrial engineering concepts like work study, capacity analysis, and line balancing in garment manufacturing. It discusses defining work study, setting objectives to improve productivity and efficiency, analyzing capacity before and after experiments, calculating standard times, balancing lines to minimize cycle times and smooth workloads, and concluding that line balancing reduced times and improved efficiency. The results showed balancing reduced operators from 80 to 71 and lowered the standard minute value from 52 to 46, meeting the goals of minimizing times and costs.
Analysis of sewing section efficiency by using time study technique in Appare...Khairul Bashar
This document discusses using time study techniques to analyze sewing section efficiency in the apparel industry. It begins with introducing industrial engineering and activities like work study and time study. It then discusses how time studies are conducted including setting objectives, using tools like stopwatches, breaking jobs into elements, and calculating basic and standard times. The document presents methodology for conducting a time study on a sewing section, results showing production increased to 220 pieces per hour after analysis, and concludes that time studies are important for improving production efficiency in garment industries.
Effective ways to improve productivity in garment production include:
1. Conducting motion studies and correcting faulty motions to reduce operation cycle times and improve labor productivity up to 100%.
2. Checking hourly operator capacity to keep operators productive and identify ways to reduce cycle times.
3. Using the best possible line layouts to reduce transportation time and improve line productivity.
The document analyzes the Overall Equipment Effectiveness (OEE) of smelter machines at an Indonesian ceramics factory between January 2017 and December 2017. It finds that the average OEE value of both smelter machines (CK2 and CK3) was 65%, below the world class standard of 85%. Analysis using the six big losses method revealed that reduced speed losses, caused by unstable smelter inputs, accounted for over 99% of losses. Equipment availability was also impacted by long smelter fire brick replacement times, classified as breakdown losses. The document recommends installing additional equipment to stabilize inputs and improve methods, conducting more frequent machine checks and material replacements, and better coordinating production planning and shift handovers to optimize smel
Application of industrial engineering techniques in garments productionMd.Abdur Rahim Al Bahar
This document appears to be a project report submitted by Md. Abdur Rahim Al Bahar to his supervisor Md. Asif Iqbal at Shyamoli Textile Engineering College in Dhaka, Bangladesh. The report discusses the application of industrial engineering techniques to improve productivity in garment production. It includes chapters on topics like work study, method study, time study, line balancing, layout planning, and how industrial engineering can benefit different departments. The goal is to analyze productivity before and after applying these IE tools and techniques, and to propose a production layout that ensures better productivity.
GSD is a technique for Methods Analysis and the setting of Time Standards for the Sewn
Products Industries.
Reference - International Labour Office (Geneva) publication - Introduction to Work Study.
This document discusses the seven types of waste (muda) in production processes: overproduction, inventory, transportation, process, idle time, operator motion, and defects. It defines value-added and non-value added operations, and explains how eliminating waste can reduce costs, increase capacity, and identify bottlenecks. Specific examples are provided for each of the seven wastes. The overall goal is to increase the ratio of value-added to non-value added operations and eliminate activities that do not contribute to meeting customer requirements.
This document discusses work study and line balancing for the garments industry. It begins by introducing work study, which involves systematically analyzing work to optimize efficiency. The basic tools of work study are then outlined as work measurement, method study, and time study. Line balancing is introduced as allocating machines and work to individuals according to a work sheet to optimize production. The document then provides details on various aspects of work study and line balancing, including objectives, processes, techniques, and applications to garment manufacturing and sewing. It concludes by outlining the sewing sequence and process for making a polo shirt.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
16 big losses for manufacturing and servicesVishy Chandra
This presentation will provide information on what the 16 Big Losses are. The module will also introduce to a first-time connect of the 16 Big Losses to a service context.
This document appears to be a training manual for implementing Single Minute Exchange of Dies (SMED), a technique for reducing setup times on machines and equipment. It includes sections on traditional vs one-step setup approaches, separating internal and external setup tasks, reducing setup processing times, and developing an implementation plan including teams, communication, training and verification steps. The goal of SMED is to allow for more flexible and efficient production through faster changeovers between product runs.
Productivity improvement technique using work study in rmg sectorEmdadul Haque
This document contains an assignment submitted to Kamrul Hasan, a lecturer at SMUCT, by a group of 9 students. It discusses various productivity improvement techniques used in the RMG sector of Bangladesh, including work study, time study, pitch time, and computerization. Work study techniques like method study and work measurement are explained in detail. Productivity calculation formulas involving production capacity, efficiency, and on-standard efficiency are also provided. The document serves to identify productivity enhancement methods and analyze their implementation in RMG factories.
The document discusses the concept of Overall Equipment Effectiveness (OEE) and how to calculate it. OEE is a measure of how well a manufacturing line or equipment is utilized compared to its full potential. It is calculated by multiplying three individual rates: operating rate, performance rate, and quality rate. The document provides examples and calculations to demonstrate how to determine a line's OEE based on production data, downtime, and standard cycle times.
This document summarizes key findings and recommendations from a study on improving performance and competitiveness in the apparel industry. The study analyzed production and management systems across multiple factories, identifying inefficiencies. Specific case studies found that factories carried 5-16.5% excess dead stock and labor utilization was only 59.5% due to poor line balancing, workflow, and supervision. Recommendations included eliminating dead stock through improved inventory tracking, optimizing fabric usage, establishing standard times, training supervisors, and implementing production monitoring and process improvement systems. The goal was to highlight areas where cost savings could be achieved through operational enhancements.
This document outlines 16 major types of losses that can occur during production activities. It discusses losses related to equipment failures, setup and adjustment times, tool changes, start-up times, minor stops, reduced speeds, defects and reworking, scheduled downtimes, management issues, operating motions, line organization, logistics, measurements and adjustments, yields, energy usage, and tools, dies and jigs. For each loss type, it provides definitions and discusses general problems and ways to reduce losses, with a focus on achieving single-step defect-free changeovers and eliminating failures and defects. The ultimate goals are improving overall equipment effectiveness and attaining zero losses across all categories.
At present Industrial Engineering (IE) is one of the important department for each garments or textile factory. Today’s maximum factory is run by industrial engineers, where they have to follow a process flow chart. By which they can easily control the whole garments production processes....
Application of Industrial Engineering in Garments Industryzaman parvez
The document provides an overview of industrial engineering techniques and activities for a garment industry training program. It discusses key industrial engineering concepts like method study, time study, work measurement, value analysis, production planning and control, inventory control, job evaluation, and ergonomics. It also outlines specific industrial engineering activities that will be covered, including new style analysis, size set making, line feeding, changeover processes, capacity checks, bottleneck identification, line balancing, and production studies. The overall goal is to introduce industrial engineering techniques to improve productivity, eliminate waste, and optimize resource utilization in the garments industry.
1. The document summarizes a student project on applying work study and time study techniques to improve production and quality in a garment manufacturing process.
2. It describes implementing work study charts to optimize resource utilization and workplace layout. Time study techniques like direct observation and predetermined motion times are analyzed.
3. Benefits of work study and time study include eliminating waste, reducing fatigue, finding best work methods, and improving productivity, cost, and quality.
Standardization & digitalization of sewing operationsArpan Mahato
This document outlines a project to standardize and digitize sewing operations using lean principles. It involves analyzing current work procedures, comparing them to General Sewing Data (GSD) standards, and developing new standardized worksheets (STWs) where needed. 12 styles across 21 modules were examined. For styles with STWs, they were analyzed against GSD and improved. For styles without STWs, new ones were created from the GSD. The goal is to remove inconsistencies and optimize operations to increase productivity and quality according to lean methodology.
MPROVING WORKING ENVIRONMENT AND PRODUCTIVITY OF A SEWING FLOOR IN RMG INDUSTRYSharif Mrh
This document is an assignment submitted by 5 students from Shanto-Mariam University of Creative Technology in Dhaka, Bangladesh. The assignment focuses on implementing Kaizen techniques to improve the working environment and productivity of a sewing floor in an RMG (ready-made garments) industry. Key points:
- Kaizen techniques like 5S, reducing work in progress, and identifying/addressing top defects were implemented.
- Defects decreased from 134 to 51 per hundred units and work in progress decreased from 152 to 106 after implementation.
- Problems identified included low employee motivation and turnover. Recommendations included training and incentive plans.
- In conclusion, Kaizen implementation significantly improved productivity,
This document defines and provides examples of 16 major production losses that can occur. These include equipment failure losses like major stops, changeover losses, and minor stoppages. It also discusses process losses like speed losses, defect and rework losses, start-up losses, and scheduled downtime losses. Finally, the document explains how overall equipment efficiency (OEE) is calculated based on availability, performance rate, and quality rate to measure equipment effectiveness and identify opportunities for improvement.
This document discusses various types of production losses that can occur at a manufacturing facility. It begins by listing 16 types of major production losses including equipment failures, setup and adjustment losses, defects and rework losses, speed losses, and downtime losses. It then provides definitions and examples for different types of equipment losses including major stops or failures, changeovers, minor stoppages, speed losses, and defects and rework. Next, it identifies the six major equipment losses as major stops, changeovers, minor stops, reduced speed, defects and rework, and start up. The document concludes by outlining approaches for collecting and cascading breakdown data to track losses over time at different levels of the organization from individual machines to production lines to
The document analyzes the Overall Equipment Effectiveness (OEE) of smelter machines at an Indonesian ceramics factory between January 2017 and December 2017. It finds that the average OEE value of both smelter machines (CK2 and CK3) was 65%, below the world class standard of 85%. Analysis using the six big losses method revealed that reduced speed losses, caused by unstable smelter inputs, accounted for over 99% of losses. Equipment availability was also impacted by long smelter fire brick replacement times, classified as breakdown losses. The document recommends installing additional equipment to stabilize inputs and improve methods, conducting more frequent machine checks and material replacements, and better coordinating production planning and shift handovers to optimize smel
Application of industrial engineering techniques in garments productionMd.Abdur Rahim Al Bahar
This document appears to be a project report submitted by Md. Abdur Rahim Al Bahar to his supervisor Md. Asif Iqbal at Shyamoli Textile Engineering College in Dhaka, Bangladesh. The report discusses the application of industrial engineering techniques to improve productivity in garment production. It includes chapters on topics like work study, method study, time study, line balancing, layout planning, and how industrial engineering can benefit different departments. The goal is to analyze productivity before and after applying these IE tools and techniques, and to propose a production layout that ensures better productivity.
GSD is a technique for Methods Analysis and the setting of Time Standards for the Sewn
Products Industries.
Reference - International Labour Office (Geneva) publication - Introduction to Work Study.
This document discusses the seven types of waste (muda) in production processes: overproduction, inventory, transportation, process, idle time, operator motion, and defects. It defines value-added and non-value added operations, and explains how eliminating waste can reduce costs, increase capacity, and identify bottlenecks. Specific examples are provided for each of the seven wastes. The overall goal is to increase the ratio of value-added to non-value added operations and eliminate activities that do not contribute to meeting customer requirements.
This document discusses work study and line balancing for the garments industry. It begins by introducing work study, which involves systematically analyzing work to optimize efficiency. The basic tools of work study are then outlined as work measurement, method study, and time study. Line balancing is introduced as allocating machines and work to individuals according to a work sheet to optimize production. The document then provides details on various aspects of work study and line balancing, including objectives, processes, techniques, and applications to garment manufacturing and sewing. It concludes by outlining the sewing sequence and process for making a polo shirt.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
16 big losses for manufacturing and servicesVishy Chandra
This presentation will provide information on what the 16 Big Losses are. The module will also introduce to a first-time connect of the 16 Big Losses to a service context.
This document appears to be a training manual for implementing Single Minute Exchange of Dies (SMED), a technique for reducing setup times on machines and equipment. It includes sections on traditional vs one-step setup approaches, separating internal and external setup tasks, reducing setup processing times, and developing an implementation plan including teams, communication, training and verification steps. The goal of SMED is to allow for more flexible and efficient production through faster changeovers between product runs.
Productivity improvement technique using work study in rmg sectorEmdadul Haque
This document contains an assignment submitted to Kamrul Hasan, a lecturer at SMUCT, by a group of 9 students. It discusses various productivity improvement techniques used in the RMG sector of Bangladesh, including work study, time study, pitch time, and computerization. Work study techniques like method study and work measurement are explained in detail. Productivity calculation formulas involving production capacity, efficiency, and on-standard efficiency are also provided. The document serves to identify productivity enhancement methods and analyze their implementation in RMG factories.
The document discusses the concept of Overall Equipment Effectiveness (OEE) and how to calculate it. OEE is a measure of how well a manufacturing line or equipment is utilized compared to its full potential. It is calculated by multiplying three individual rates: operating rate, performance rate, and quality rate. The document provides examples and calculations to demonstrate how to determine a line's OEE based on production data, downtime, and standard cycle times.
This document summarizes key findings and recommendations from a study on improving performance and competitiveness in the apparel industry. The study analyzed production and management systems across multiple factories, identifying inefficiencies. Specific case studies found that factories carried 5-16.5% excess dead stock and labor utilization was only 59.5% due to poor line balancing, workflow, and supervision. Recommendations included eliminating dead stock through improved inventory tracking, optimizing fabric usage, establishing standard times, training supervisors, and implementing production monitoring and process improvement systems. The goal was to highlight areas where cost savings could be achieved through operational enhancements.
This document outlines 16 major types of losses that can occur during production activities. It discusses losses related to equipment failures, setup and adjustment times, tool changes, start-up times, minor stops, reduced speeds, defects and reworking, scheduled downtimes, management issues, operating motions, line organization, logistics, measurements and adjustments, yields, energy usage, and tools, dies and jigs. For each loss type, it provides definitions and discusses general problems and ways to reduce losses, with a focus on achieving single-step defect-free changeovers and eliminating failures and defects. The ultimate goals are improving overall equipment effectiveness and attaining zero losses across all categories.
At present Industrial Engineering (IE) is one of the important department for each garments or textile factory. Today’s maximum factory is run by industrial engineers, where they have to follow a process flow chart. By which they can easily control the whole garments production processes....
Application of Industrial Engineering in Garments Industryzaman parvez
The document provides an overview of industrial engineering techniques and activities for a garment industry training program. It discusses key industrial engineering concepts like method study, time study, work measurement, value analysis, production planning and control, inventory control, job evaluation, and ergonomics. It also outlines specific industrial engineering activities that will be covered, including new style analysis, size set making, line feeding, changeover processes, capacity checks, bottleneck identification, line balancing, and production studies. The overall goal is to introduce industrial engineering techniques to improve productivity, eliminate waste, and optimize resource utilization in the garments industry.
1. The document summarizes a student project on applying work study and time study techniques to improve production and quality in a garment manufacturing process.
2. It describes implementing work study charts to optimize resource utilization and workplace layout. Time study techniques like direct observation and predetermined motion times are analyzed.
3. Benefits of work study and time study include eliminating waste, reducing fatigue, finding best work methods, and improving productivity, cost, and quality.
Standardization & digitalization of sewing operationsArpan Mahato
This document outlines a project to standardize and digitize sewing operations using lean principles. It involves analyzing current work procedures, comparing them to General Sewing Data (GSD) standards, and developing new standardized worksheets (STWs) where needed. 12 styles across 21 modules were examined. For styles with STWs, they were analyzed against GSD and improved. For styles without STWs, new ones were created from the GSD. The goal is to remove inconsistencies and optimize operations to increase productivity and quality according to lean methodology.
MPROVING WORKING ENVIRONMENT AND PRODUCTIVITY OF A SEWING FLOOR IN RMG INDUSTRYSharif Mrh
This document is an assignment submitted by 5 students from Shanto-Mariam University of Creative Technology in Dhaka, Bangladesh. The assignment focuses on implementing Kaizen techniques to improve the working environment and productivity of a sewing floor in an RMG (ready-made garments) industry. Key points:
- Kaizen techniques like 5S, reducing work in progress, and identifying/addressing top defects were implemented.
- Defects decreased from 134 to 51 per hundred units and work in progress decreased from 152 to 106 after implementation.
- Problems identified included low employee motivation and turnover. Recommendations included training and incentive plans.
- In conclusion, Kaizen implementation significantly improved productivity,
This document defines and provides examples of 16 major production losses that can occur. These include equipment failure losses like major stops, changeover losses, and minor stoppages. It also discusses process losses like speed losses, defect and rework losses, start-up losses, and scheduled downtime losses. Finally, the document explains how overall equipment efficiency (OEE) is calculated based on availability, performance rate, and quality rate to measure equipment effectiveness and identify opportunities for improvement.
This document discusses various types of production losses that can occur at a manufacturing facility. It begins by listing 16 types of major production losses including equipment failures, setup and adjustment losses, defects and rework losses, speed losses, and downtime losses. It then provides definitions and examples for different types of equipment losses including major stops or failures, changeovers, minor stoppages, speed losses, and defects and rework. Next, it identifies the six major equipment losses as major stops, changeovers, minor stops, reduced speed, defects and rework, and start up. The document concludes by outlining approaches for collecting and cascading breakdown data to track losses over time at different levels of the organization from individual machines to production lines to
The document discusses Overall Equipment Effectiveness (OEE) as a measurement used in Total Productive Maintenance (TPM) programs to indicate machine performance. OEE is calculated by measuring availability, performance, and quality. Availability looks at uptime versus downtime. Performance compares actual output to potential output. Quality compares good units to total units. Together these measure how close a machine operates to its ideal potential. Losses that reduce OEE include downtime from failures and setups, minor stoppages, reduced speeds, and defects from scrap and startups. Regular OEE measurement allows identifying issues and tracking improvement efforts.
The document discusses Overall Equipment Effectiveness (OEE), a measurement used in Total Productive Maintenance (TPM) programs to assess production efficiency. OEE measures availability, performance, and quality of manufacturing equipment. It indicates how effectively machines are being used to meet planned production targets. The document lists objectives of OEE like reducing breakdowns and defects. It also outlines 16 major types of losses that can reduce equipment and process efficiency, such as setup losses, minor stoppages, and quality defects. Monitoring OEE helps manufacturers identify improvement opportunities in TPM programs to maximize asset usage.
This document provides an overview of equipment reliability training at different levels. It discusses measuring and improving equipment performance through metrics like Overall Equipment Effectiveness (OEE) and Total Effective Equipment Performance (TEEP). The training introduces reliability concepts and processes to apply reliability tools and methods. It aims to change culture from reacting to failures to preventing failures through early reliability considerations in equipment design, purchasing, and maintenance.
IRJET- Comparative Performance Study of Mine Trucks by Overall Equipment Effe...IRJET Journal
This document discusses measuring the effectiveness of mining equipment using Overall Equipment Effectiveness (OEE). OEE is calculated based on availability, performance, and quality to identify sources of productivity loss. It presents a method to calculate OEE for trucks used in open pit mines based on time loss classifications like scheduled maintenance, breakdowns, setups, waiting times, reduced speeds, and quality defects. Calculating OEE using a calendar time-based approach rather than loading time provides a more accurate assessment of actual equipment utilization. Regular OEE measurement can help mining operations improve productivity by reducing downtime and other inefficiencies.
This document defines and provides examples for calculating Overall Equipment Effectiveness (OEE). OEE is an index that calculates equipment operating state by considering availability, performance, and quality rates. It is calculated by multiplying availability, which accounts for downtime, by the performance rate, which considers speed losses, and the quality rate, which includes defects. The document outlines how to measure each component through data collection and provides examples of availability, performance, and quality rate calculations. It also defines the various types of losses that reduce OEE, such as breakdowns, changeovers, speed losses, and defects.
The document discusses loss analysis and total productive maintenance to improve machine utilization. It provides details on calculating overall equipment effectiveness (OEE) including availability, performance, and quality. Examples are given to measure OEE and analyze sources of loss by categorizing stoppage times and defects. The goal is to use key performance indicators and loss analysis to identify improvement areas and drive process enhancements.
Overall Equipment Effectiveness (OEE) measures the efficiency of machines during their loading time. OEE figures are determined by combining the availability and performance of equipment with the quality of parts made. Availability is affected by planned and unplanned downtime. Performance considers the actual speed of the machine compared to the ideal cycle time. Quality yield looks at the total quantity of good parts produced compared to the total processed. An OEE calculation takes the product of these three factors - availability, performance, and quality yield - to determine the overall equipment effectiveness percentage.
IRJET- Improvement of Availability and Maintainability through Actions based ...IRJET Journal
This document summarizes a case study on improving the availability and maintainability of critical machines at a steel plant through root cause analysis of failures and implementing corrective countermeasures. Data was collected on breakdowns of a housing less mill stand machine and slitting machine before and after implementing countermeasures. Root cause analysis found the main issues for the slitting machine were fire cracks in the reel and improper adjustment. Corrective actions like improved cooling and adjustments increased availability from 94.89% to 97.72%, MTBF from 59 to 82.81 hours, and decreased MTTR from 3.17 to 1.93 hours, demonstrating the effectiveness of the countermeasures at improving performance.
TPM (Total Productive Maintenance) is a Japanese approach to equipment maintenance that focuses on minimizing breakdowns and maximizing equipment efficiency. It involves operators performing basic cleaning and inspections of equipment on a daily basis through autonomous maintenance. The goals of TPM and autonomous maintenance include eliminating equipment losses to improve overall equipment effectiveness (OEE) and increase productivity, quality and profitability through early problem detection and correction. Autonomous maintenance is carried out through a 7 step process that includes cleaning, inspection, identifying abnormalities, and standardizing maintenance procedures.
The document discusses the functions and types of maintenance programs. It aims to ensure equipment is available for operation in a satisfactory condition. There are three main types of maintenance programs: corrective, preventive, and predictive. Corrective maintenance involves repair work after a failure. Preventive maintenance is time-based and focuses on inspections, servicing, and minor repairs. Predictive maintenance uses condition monitoring to detect issues and schedule maintenance as needed to avoid breakdowns. The goal is to maximize equipment availability and performance at optimal costs.
The document discusses the concept of Kobetsu Kaizen, which is one of the original pillars of Total Productive Maintenance (TPM). Kobetsu Kaizen aims to improve production effectiveness through the systematic identification and elimination of losses using various Kaizen tools. It defines 16 categories of losses that can occur within a production system, including failure losses, setup/adjustment losses, and defect/rework losses. The implementation of Kobetsu Kaizen involves selecting improvement topics, forming project teams, identifying and prioritizing losses, analyzing the root causes of losses, planning improvements, implementing changes, and checking results.
IMPROVING OSH & PRODUCTIVITY OF RMG INDUSTRIES BY IMPLEMENTING LEAN TOOLS AN...Karina Islam
The garment industry has played a pioneering role in the development of industrial sector of Bangladesh. The RMG sector is expected to grow despite the global financial crisis of 2009.As China is finding it challenging to make textile and foot wear items at cheap price, due to rising labor costs, many foreign investors, are coming to Bangladesh to take advantage of the low labor cost. Though Bangladesh produces garment with lowest cost but poor productivity. To survive and prosper in today's economic times, companies can no longer manage using financial measures alone, they have to track non-financial measures also such as customer satisfaction, brand preference, speed of response, employee satisfaction etc.Productivity can improve by applying lean tools like- 5s, JIT, Muda, Root Cause analysis, KPIs, VSM. For improving the ultimate productivity OHS of RMG sector of Bangladesh should be improved. In Ready Made Garments (RMG) sector of Bangladesh, the employees represent an organization's biggest and its most valuable asset. The company's productivity, and ultimately, its profitability depend on making sure all of its workers perform up to their full potential. This paper summarizes that how KPIs analysis improve productivity and OHS of RMG sectors. Appropriate indicators are first selected for KPI scoring then simulate the scores with the help of Adaptive Network-based Fuzzy Inference System (ANFIS) and finally illustrated how KPIs impacts on overall productivity.
This document discusses Overall Equipment Effectiveness (OEE), which is a metric used in Lean Manufacturing and Total Productive Maintenance programs to measure machine performance. OEE considers three factors: availability, which accounts for downtime losses; performance, which considers speed losses; and quality, which looks at defective parts. The document provides examples of calculating each factor and demonstrates how to determine an overall OEE percentage by multiplying the availability, performance, and quality rates. An OEE of over 85% is considered good, while the example shown calculates to 81.2%. Tracking OEE helps identify inefficiencies and set goals for continuous improvement.
Generic Lean Overview For Future Employer Of Alan S DesrocherAlan Desrocher
The document provides an overview of lean manufacturing concepts, including:
- Distinguishing between mass and lean manufacturing approaches.
- Key concepts of lean manufacturing including eliminating waste, just-in-time production, continuous flow, and visual management techniques.
- The goals of a lean transformation are to reduce costs, improve quality, and shorten lead times through process improvements and engaging employees.
- A lean culture emphasizes problem solving over blame, standardized work, respect for people, and continuous improvement.
The document discusses the philosophy and goals of just-in-time (JIT) production, which aims to eliminate all waste and continuously improve productivity through goals like zero defects, setup time, lot excesses, and breakdowns. It outlines the types of waste that occur in production like overproduction, defects, and inventory. JIT principles include uniform plant loading, minimized setup times, quality control at the source, and pull-based Kanban systems to balance supply and demand. The document also discusses elements like continuous improvement, inventory realities, and conventional versus JIT attitudes.
JIT is a long-term approach to process improvement. Itcosts, improve quality and improve responsivene uses timeliness as a lever to lower ss. However, JIT requires enormous commitment. It took Toyota more than 25 years to get right!
The document discusses Just-in-Time (JIT) production. It defines JIT as a system that produces or acquires materials only as needed to minimize waste and costs. JIT was developed by Toyota and aims to eliminate overproduction and waste. The document outlines the purposes, objectives, advantages, disadvantages and characteristics of JIT manufacturing and services.
Industrial engineers work to improve processes, products, and systems. They focus on areas like project management, manufacturing, supply chain management, productivity, quality, and more. Some of their key roles include developing project plans, ensuring manufacturability, managing resources, conducting quality audits, developing strategic plans, and managing change. Industrial engineers use techniques like lean manufacturing, simulation, statistical analysis, and six sigma to solve problems in many different industries.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
The document discusses Six Sigma, which is a highly disciplined process used by GE to develop and deliver near-perfect products and services. It aims to eliminate defects in processes and get as close to zero defects as possible. GE began focusing on quality in the 1980s with programs like Work-Out that broke down bureaucracy, and now Six Sigma is embedded in their culture and how they work. Key aspects of Six Sigma include focusing on critical quality attributes from the customer's perspective, reducing process variation, and training employees.
The document provides an introduction to Six Sigma and its application to software engineering. It defines Six Sigma as a multi-dimensional, data-driven approach to improving processes, reducing defects and costs, and increasing customer satisfaction and profits. The key dimensions of Six Sigma discussed are philosophy, process, goal, objectives, organization, methodology and tools. It describes the DMAIC and DMADV methodologies for completing Six Sigma projects to solve problems and design processes.
This document discusses data, variation, and process capability. It defines two types of data: continuous data which can be measured, and discrete data which can only be observed and counted. It also explains how to measure the location and spread of data using statistics like the mean, median, mode, standard deviation, and range. The document distinguishes between chance variation from random causes and assignable variation from non-random causes. It states that a process is considered statistically controlled when it only exhibits chance variation. Finally, it defines process capability as representing a process's best performance when under statistical control, and describes different indices used to measure potential capability and demonstrated excellence.
This chapter discusses processes and process analysis methods. It defines a process as a combination used to produce a product or deliver a service. Key characteristics are the most important features to customers. Six Sigma methodology collects data on processes to identify variations and key characteristics in order to improve processes and reduce defects.
Six Sigma is a statistical concept that aims for near perfect production processes. It seeks to reduce defects to 3.4 per million opportunities by focusing on eliminating errors from processes. The chapter introduces Six Sigma and its objectives of driving towards zero defects across all business operations to improve customer satisfaction and reduce costs. It distinguishes Six Sigma from other strategies by focusing on process improvement over outcomes to repeatedly produce high quality results.
The document discusses the five phases of the Six Sigma Breakthrough Strategy: Plan, Assess, Evaluate, Enhance, and Control. It provides details on the steps and activities involved in each phase, such as identifying problems, measuring defects, analyzing data, developing and testing solutions, and monitoring ongoing performance. The strategy aims to improve processes and reduce defects by systematically addressing underlying causes of problems. An example case study describes how a company implemented these phases to reduce errors on vouchers.
1. Six Sigma improvement efforts require contributions from Executive Leaders, Project Champions, Master Black Belts, Black Belts, and Green Belts, each with different defined roles.
2. Executive Leaders keep Six Sigma focused on business problems and strategic goals, while Project Champions translate goals to individual units.
3. Master Black Belts are technical leaders who train and support Black Belts, while Black Belts manage projects and drive teams to deliver results through the Six Sigma process. Green Belts support Black Belt teams.
The document discusses the concept of Cost of Quality (COQ) and compares it to Six Sigma. COQ quantifies quality problems in monetary terms and identifies costs from prevention, appraisal, and failures. COQ assessment provides opportunities for companies to set an improvement tone, support quality processes, and identify and address root causes of poor quality. COQ analysis indicates where failures most contribute to costs and the processes that cause those failures can then be improved to reduce costs more than increasing prevention costs. Six Sigma aims to minimize defects while COQ expresses waste in financial terms.
The document discusses implementing Six Sigma in service industries. It explains that while manufacturing processes directly measure outputs like thickness or width, service processes can also be quantified by measuring factors like call handling time or calls attended per day. A company's accounts department found errors in vouchers were a major customer complaint. Analyzing sample vouchers found a defect rate of 30,000 parts per million, equivalent to a 3.35 sigma level. To improve, the company would identify the most critical quality factors, find the root causes of defects, design solutions, implement them, and verify improvements through ongoing audits.
The document defines Six Sigma and explains its statistical concepts. Six Sigma aims to reduce defects per million opportunities by improving process capability and accounting for potential process shifts. It defines a capable process as having variation within ±3 sigma of the mean, capturing 99.73% of items. While most processes naturally vary within ±3 sigma, Six Sigma processes are designed such that this variation is only half the tolerance range. This allows achieving less than 3.4 defects per million opportunities. It also notes that processes may deviate from their centered position by up to 1.5 sigma, so Six Sigma accounts for this potential shift.
Pattern production is a production scheduling method where a fixed sequence of parts is produced. It has two basic principles: fixed time variable quantity, where production time is fixed but quantity may vary, and fixed quantity variable time, where quantity is fixed but production time may vary. Pattern production is necessary when capacity constraints exist that prevent meeting customer demand without it, such as when capacity is okay without changeovers but not with changeovers. Benefits include effective resource utilization, elimination of daily planning and unplanned overtime, and minimized production variation.
This document discusses techniques for reducing changeover times when manufacturing different products or product variants. It introduces the concepts of SMED (Single Minute Exchange of Die), quick changeovers, and breaking changeover operations into internal and external components. The key techniques proposed include observing and video recording current changeover processes, analyzing to identify ways to externalize setup steps, and establishing goals and competitions to continuously reduce changeover times.
This document discusses production methods and the concept of Kaizen or continuous improvement. It describes different production methods like job production, flow production, and batch production and factors to consider when choosing a method. These include the type of product, scale of production, and factor costs. The document also discusses how the layout and design of production can influence efficiency, output, costs and quality. It introduces the Japanese concept of Kaizen, which focuses on gradual, continuous improvement involving everyone in the organization and clear long-term vision. Quality assurance methods like Six Sigma also aim to eliminate defects through a data-driven approach and process improvement.
The document provides tables for rating the severity, occurrence, and detection of potential failures in Failure Mode and Effects Analysis (FMEA). The severity table ranks effects from hazardous without warning to none. The occurrence table ranks likelihood of failures from very high (>100/1000 items) to remote (<0.01/1000 items). The detection table ranks likelihood of detection from absolute uncertainty to error-proofed design. The tables provide guidance for numerically scoring these factors in FMEA.
This document provides an agenda for a supplier day meeting between Magna Donnelly and DaimlerChrysler. The agenda includes presentations on the voice of the customer from DaimlerChrysler, quality metrics and improvements at the Lowell plant, and Magna Donnelly's supply base expectations. It also includes time for questions and closing remarks. Supporting documents provide additional details on quality improvement plans, processes, and strategies being implemented at the Lowell plant to address quality issues, including fast response, control of non-conforming product, risk reduction, standardized operator training, and lessons learned.
The document discusses a case study evaluating the measurement system for a key quality variable (CTQ1) at W.R. Grace. A measurement systems analysis was conducted across four sites measuring CTQ1. The results showed high measurement variation compared to process variation, with an overall %GRR of 94.3. While some sites had acceptable P/T ratios and variation, the overall system lacked discrimination. Improving the measurement system accuracy and precision could help reduce hidden factory costs and further process improvements.
Total Quality Management (TQM) focuses on satisfying both internal and external customers through continuous improvement involving everyone in an organization. It emphasizes management commitment, customer requirements, quality tools and techniques, and teamwork across all levels. The four pillars of TQM are satisfying customers, establishing robust systems and processes, developing people's skills, and using improvement tools.
The document discusses Total Productive Maintenance (TPM), which aims to maximize equipment effectiveness through employee involvement in maintenance. TPM evolved from Total Quality Management principles and was pioneered by Japanese manufacturers. It involves scheduling maintenance to minimize downtime, empowering employees to perform basic upkeep, and taking a long-term approach to continuous improvement. The goal of TPM is to increase productivity through reducing failures and losses.
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.
Blood finder application project report (1).pdfKamal Acharya
Blood Finder is an emergency time app where a user can search for the blood banks as
well as the registered blood donors around Mumbai. This application also provide an
opportunity for the user of this application to become a registered donor for this user have
to enroll for the donor request from the application itself. If the admin wish to make user
a registered donor, with some of the formalities with the organization it can be done.
Specialization of this application is that the user will not have to register on sign-in for
searching the blood banks and blood donors it can be just done by installing the
application to the mobile.
The purpose of making this application is to save the user’s time for searching blood of
needed blood group during the time of the emergency.
This is an android application developed in Java and XML with the connectivity of
SQLite database. This application will provide most of basic functionality required for an
emergency time application. All the details of Blood banks and Blood donors are stored
in the database i.e. SQLite.
This application allowed the user to get all the information regarding blood banks and
blood donors such as Name, Number, Address, Blood Group, rather than searching it on
the different websites and wasting the precious time. This application is effective and
user friendly.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Open Channel Flow: fluid flow with a free surfaceIndrajeet sahu
Open Channel Flow: This topic focuses on fluid flow with a free surface, such as in rivers, canals, and drainage ditches. Key concepts include the classification of flow types (steady vs. unsteady, uniform vs. non-uniform), hydraulic radius, flow resistance, Manning's equation, critical flow conditions, and energy and momentum principles. It also covers flow measurement techniques, gradually varied flow analysis, and the design of open channels. Understanding these principles is vital for effective water resource management and engineering applications.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Tools & Techniques for Commissioning and Maintaining PV Systems W-Animations ...Transcat
Join us for this solutions-based webinar on the tools and techniques for commissioning and maintaining PV Systems. In this session, we'll review the process of building and maintaining a solar array, starting with installation and commissioning, then reviewing operations and maintenance of the system. This course will review insulation resistance testing, I-V curve testing, earth-bond continuity, ground resistance testing, performance tests, visual inspections, ground and arc fault testing procedures, and power quality analysis.
Fluke Solar Application Specialist Will White is presenting on this engaging topic:
Will has worked in the renewable energy industry since 2005, first as an installer for a small east coast solar integrator before adding sales, design, and project management to his skillset. In 2022, Will joined Fluke as a solar application specialist, where he supports their renewable energy testing equipment like IV-curve tracers, electrical meters, and thermal imaging cameras. Experienced in wind power, solar thermal, energy storage, and all scales of PV, Will has primarily focused on residential and small commercial systems. He is passionate about implementing high-quality, code-compliant installation techniques.
Height and depth gauge linear metrology.pdfq30122000
Height gauges may also be used to measure the height of an object by using the underside of the scriber as the datum. The datum may be permanently fixed or the height gauge may have provision to adjust the scale, this is done by sliding the scale vertically along the body of the height gauge by turning a fine feed screw at the top of the gauge; then with the scriber set to the same level as the base, the scale can be matched to it. This adjustment allows different scribers or probes to be used, as well as adjusting for any errors in a damaged or resharpened probe.
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• Indicator is a composite measure of the process
performance and includes-Availability of
equipment,Equipment Performance and Quality
performance.
• It shows how well the company is utilizing
resources, which includes equipment, labour
and ability to satisfy the customer in terms of
matching the quality specification.
This indicator should increase with time.
OVERALL EQUIPMENT EFFECIENCY (OEE)
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SIXTEEN MAJOR LOSSES THAT CAN IMPEDE EFFICIENCY IMPROVEMENT
The following 16 major losses can hamper efficiency improvement these individual losses are explained in
the subsequent sections.
1) Seven major losses that can impede equipment efficiency
Failure Losses
Setting up/adjustment losses
Cutting –blade losses
Start – up losses
Minor stoppage/idling losses
Speed losses
Defect/rework losses
2) Losses that can impede machine loading time
Shutdown (SD) losses
3) Five major losses that can impede improvement of human work efficiency.
Management Losses
Motion Losses
Arrangement Losses
Losses resulting from lack of automated systems
Monitoring and adjustment losses
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4) Three major losses that can impede effective use of product resources
Yield Losses
Energy Losses
Die, jig and fixture losses
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Unit of this measure is : % - percentage
OEE is calculated for critical machines by combining
three elements, as per flowchart.
Overall Availability Performance Rate Of
Equipment = Rate X Rate X Quality X 100
Effeciency
OVERALL EQUIPMENT EFFECIENCY
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Availability = (Loading time – Downtime) / Loading time.
Performance rate = Net utilization ratio x Speed utilization ratio
Where
Net operating rate means continuance, and minor stoppage losses are to be calculated.
Net Utilization Ratio = Output x Actual cycle time / (Loading time – downtime)
Speed operating rate indicates speed difference
Speed Utilization Ratio= Standard cycle time / Actual time.
Quality products rate = No. of quality products / Input volume
Where
No of quality product
= Input volume – Start – up defect volume + No. of process defects + No. of rework cases)
Overall equipment efficiency =
Availability x Performance rate x Quality products rate
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1) Working hours
Working hours is the amount of time equipment can operate in a day
or month.
2) Loading time
The loading time is the amount of time equipment must operate in a
day or month.
3) Operating time
The operating time is the amount of time the equipment actually
operates.
4) Net operating time
This is the net time that equipment is operated at a specific speed,
minus losses.
5) Valued operating time
This is the time derived by subtracting the time for manufacturing
defective / rework products from the net operating time; i.e the time in
which only excellent products were produced.
Structure of 7 Major Equipment Losses
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6) Availability
This is the ratio of the net time, excluding the equipment stoppage
time, to the loading time.
7) Performance rate
The performance rate is composed of the speed operating rate and
the net operating rate.
8) Rate of Quality
Rate of Quality is the ratio of produced quality products (good
output) to the number of processed products (which includes total
output including defectives).
9) Overall equipment efficiency
Overall equipment efficiency is a product of the availability, the
performance rate, and the quality products rate.
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(Example) Stoppage breakdown
Working hours per day : 60 min x 8 hours = 480 min
Loading time per day : 460 min
Operating time per day : 400 min
Output per day : 400 units
Availability = 400x100 / 460 = 87%
Standard cycle time 0.5 min/unit
Actual cycle time 0.8 min/unit
Speed performance rate = 0.5 x 100 / 0.8 = 62.5%
Net operating rate = 400 units x 0.8 / 400 min = 80%
(1-Net utilization ratio) represents minor stoppage losses.
Performance rate = 0.625 x 0.800 x 100 = 50%
Quality products rate = 98%
Overall equipment efficiency = 0.87x x 0.5 x 0.98 x 100 = 42.6%
Setting up … 20 min
Failures … 20 min
Adjustments … 20 min
Defects … 2%
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The improvement of production efficiency means obtaining maximum
output while minimizing required input (materials, manpower, equipment,
energy etc.) The key to this has in increasing added value and reducing
manufacturing cost. To attain these purposes, the following activities are
required :
1) Activities for quantitative expansion
Activities to enhance equipment efficiency
Activities to raise human work efficiency
Activities to raise control efficiency
Activities for quantitative expansion depend on the means to reduce non operative
time of equipment and means to increase output per unit to time
2) Activities for qualitative improvement
Activities to improve product quality
Activities to promote unattended production
.Activities for qualitative improvement pursue reduction of defects through quality-
upgrading and quality-level improvement
What is the improvement of Production Efficiency?
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1) Failure Losses
As these losses are due to sporadic/chronic failures, they are
accompanied by time losses (output decline) and volume losses
(occurrence of defects.)
Therefore, the definition of defects is set as follows :
Cases accompanied by function stoppage or decline (normally or typically
accompanied by production stoppage or output decline)
Cases requiring replacement of parts or repair in order to recover function.
Cases requiring 5-10 minutes or more for repair
2)Setup and adjustment losses
“Setup and adjustment losses” refers to time losses from the end of
the production of a previous item through product-change
adjustment to the point where the production of the new item is
completely satisfactory.
“One-shot machining in which quality production is possible” means a method of
manufacturing excellent products from the beginning without trial manufacturing
after the exchange of jigs.
Seven Major Losses That Can Impede
Equipment Efficiency
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3. Cutting – blade Losses
These are time losses due to regular cutting – blade exchanges and
extraordinary replacement necessitated by blade damage and volume
losses (defects and rework ) that arise before and after blade
replacement.
4. Start-up Losses
Start-up Losses are defined as time losses from
Start-up after periodic repair,
Start-up after holidays,
Start-up after lunch breaks
5. Minor Stoppage / Idling Losses
The definition of these losses is a s follows :
Losses that are accompanied by temporary functional stoppage
Losses allowing functional recovery through simple measure
(removal of abnormal work pieces and resetting)
Losses that do not require parts exchange or repair
Losses that require from 3-5 seconds to less than 5 minutes for
recovery.)
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6. Speed Losses
The are losses that occur because the equipment speed is slow. They
can be defined as follows :
Losses due to a difference between the design speed (or standard
speed for the item concerned ) and the actual speed
Losses caused when the design speed is lower than present
technological standards or the desirable condition.
7. Defect/rework Losses
Defect/rework losses are defined as volume losses due to defects
and rework (disposal defects), and time losses required to repair
defective products to turn them into excellent products.
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1) SD (Shutdown) losses
There are time losses occasioned when equipment is stopped for
planned maintenance, as well as volume losses that occur due to
equipment start-up. These are an unavoidable aspect of the
equipment.
Work during a shutdown involves cleaning, inspection, parts
replacement, overhauling, and precision checking.
Losses that can impede equipment operating rate
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Five Major Losses that can impede Human work
Efficiency
These are collectively called worker-hour losses. Such
losses can be divided into time losses resulting from wasted
motions and inefficient work methods or workers, as well as
inefficient plant lay outs, and time losses due to work other
than the target work (extraordinary work).
1) Management Losses
These are waiting time losses that occur during management,
such as waiting for materials, instructions, and defect repair.
2) Motion Losses
These include motion losses due to violation of motion
economy, losses that occur as a result of skill differences, and
walking losses attributable to an inefficient layout.
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3) Arrangement Losses
These are waiting time losses involving multi-process and multi-stand
operators and line-balance losses in conveyor work.
4) Losses resulting from Lack of automated systems
These are personnel losses resulting from non-replacement with
automated systems, although such replacement could be done.
e.g. : automated loading and unloading leading
5) Monitoring and adjustment Losses
These are worker-hour losses that result from frequent
implementation of monitoring and adjustment to prevent occurrence of
quality defects and flow-out.
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1)Yield Losses
These are volume losses stemming from weight differences between raw
materials and products or between all raw material input and the
products.
2)Energy Losses
These are losses of such energy as electric power, fuel, steam, air and
water (including wastewater)
3)Die, jig, and fixture losses (including sub-material losses)
These are monetary losses resulting from the manufacturing and repair
of dies, jigs, and tools necessary for the production of products.
Three Major Losses that can impede effective
use of production resources