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The apparel industry in Bangladesh plays a vital role in the country's economic growth and exports. To improve productivity and meet new challenges, operational performance must be optimized and resources utilized efficiently. The study aims to improve and optimize Overall Equipment Effectiveness (OEE), a tool that can help manufacturing industries develop processes ensuring quality, consistency, and productivity while minimizing significant losses. Data was collected from an apparel company and its existing OEE factors - availability, performance, and quality - were found to be below world standards. Key improvement factors were identified through analysis. A simulation model showed output could be improved by 8.87% by focusing on key factors. Design of experiments optimization identified the most influential factors and their relationship to OEE.
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This document summarizes a study that uses linear programming to optimize resource utilization and profitability for an apparel manufacturing company in Ethiopia. Data on 5 product types, resource requirements, costs and profits were collected from a case company. A linear programming model was developed with the objective of maximizing total profit, subject to material, cost and time constraints. The model was solved using Excel solver. The results showed the current resource utilization of 46.41% could be improved to 98.57% under the optimal solution, increasing total monthly profit from 365,699 birr to 897,844 birr, enhancing the company's competitiveness.
H012535263
This document describes a simulation model developed to calculate Overall Equipment Effectiveness (OEE) for a generic production line. The model takes input data from XML files generated by an optimization model that minimizes costs based on factors like work in progress inventory and machine idle time. Both crisp and fuzzy models are implemented to calculate availability, performance, quality, and overall OEE. The fuzzy model uses Mamdani inference with triangular membership functions. Simulation results in VB and Excel are presented and compared to world class standards. Goal seek and scenario manager tools are used to determine input parameter changes needed to meet standards. The model provides a way to evaluate a production line's efficiency and identify areas for improvement.
Ijciet 10 02_021
This paper deals with the applications of optimization principle in optimizing
profits of a production industry using linear programming to examine the production
cost and determine its optimal profit. Linear programming is an operation research
technique which is widely used in finding solutions to managerial decision problems.
However, many enterprises make more use of the trial-and-error method. As such,
firms have been finding it difficult in allocating scarce resources in a manner that will
ensure profit maximization and/or cost minimization.
This paper makse use of secondary data collected from the records of the
Landmark University Bakery on five types of bread produced in the firm which
include Family loaf, sliced family bread, Chocolate loaf, medium size bread, small
size bread. A problem of this nature was identified as a linear programming problem,
formulated in Mathematical terms and solved using AMPL software. The solution
obtained revealed that Landmark bakery unit should concentrate much more in
production of 14,000 loaves of Family loaf and 10,571 loaves of Chocolate bread
while others type should be less produced since their value is turning to zero in order
to achieve a maximum monthly profit of N1,860,000. From the analysis, it was
observed that Family loaf and the Chocolate bread contributed objectively to the
profit. Hence, more of Family loaf and Chocolate bread are needed to be produced
and sold in order to maximize the profit
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...Journal For Research
Present research focuses on the quality improvement at Himachal Pradesh based manufacturing unit a precision machining company for two and three wheeler components. The objective of present research focuses on current Quality Management System (QMS) implemented and to identify the current quality problems that the company faces and to study. Present research is divided into two parts Ethnographic and Qualitative research design. Recommendations and solutions to the problem faced will be suggested to the heads and supervisors, to improve the current quality system, as well as increase efficiency and reduce non conformities. This research only focuses on problem faced in the production section of the company. In the ethnographic part study is focused on plunging of workers and qualitative part research is focused on various causes of rejection. Lean manufacturing tools is considered as the pilot project to solve the problem. Various tools were used such as Multiple activity charts, Pareto chart, PDCA cycles, cause and effect diagram and control chart. With the help of lean tools, plunging of workers come to zero, better working environment is provided to workers, rejection has reduced o 12000ppm from 29000ppm and reduced the loss of organization from 4.02% to 2.79%. Retention of worker saves the training cost. Tool life also increased.
5.an integrated
1) The document proposes an integrated model for performance management of manufacturing units that combines performance measurement and improvement.
2) Performance is measured using an extended Brown-Gibson model considering objective and service quality factors evaluated through analytic hierarchy process.
3) If performance measures do not meet satisfactory levels, quality function deployment is used to redesign manufacturing processes.
Productivity measurement approaches
Productivity is defined as the relationship between the output generated by a production or service system and the input provided to create that output. Management contributes the most to annual productivity increases at around 4/6, while capital and labor each contribute around 1/6. Productivity measurement is important for improvement, decision-making, and evaluating development programs. There are multiple approaches to measuring productivity at different economic levels. Effective productivity measurement addresses objectives, efficiency, effectiveness potential, comparability, and trends.
Improving OHS & Productivity of RMG Industries By Analyzing Various KPIs
This ppt 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
An Application of DMAIC Methodology for Increasing the Yarn Quality in Textil...
Abstract : This article presents a quality improvement study applied at a yarn manufacturing company based
on six sigma methodologies. More specifically, the DMAIC (Define, Measure, Analyze, Improve, and Control)
project management-methodology & various tools are utilized to streamline processes & enhance productivity.
Defects rate of textile product in the yarn manufacturing process is so important in industry point of view. It
plays a very important rate for the improvement of yield & financial conditions of any company. Actually
defects rate causes a direct effect on the profit margin of the product & decrease the quality cost during the
manufacturing of the product. By checking & inspection of defects of product at different point in production
where more defects are likely to happen. A thousand defects opportunities create in the final package of yarn.
That’s why it is decided to do work & implement DMAIC methodology in winding departments where the final
package of yarn is make.
Keywords - Six Sigma; DMAIC; Lean manufacturing; Yarn manufacturing
14857
This document discusses quality control implementation in four manufacturing companies in Malaysia. It provides an overview of quality control techniques and discusses the specific techniques used by each company, including acceptance sampling, control charts, failure mode and effects analysis (FMEA), and design of experiments. The companies represented different industries: cables, soft drinks, plastics, and air conditioning. Each company faced some challenges in implementation, such as setting new specifications, integrating quality monitoring systems, training workers in statistical process control, and difficulties using control charts. The study aimed to identify motivating factors and challenges in quality control implementation.
I012536474
This document describes a simulation program developed to monitor and improve the performance of a production system. The program calculates Overall Line Effectiveness (OLE) metrics to identify weaknesses in a line with multiple interconnected machines. It was applied to a case study of a bathtub manufacturing company with 6 departments. Data showed significant time losses from issues like breakdowns, setups, idle time, and rejects. The simulation software helped analyze this data and identify areas for improvement, increasing the OLE value from 46.84% to 68.94% after implementing recommended changes.
The Credibility and Plausibility of the Modified Usage of the Activity Based ...
The Credibility and Plausibility of the Modified Usage of the Activity Based ...International Journal of Engineering Inventions www.ijeijournal.com
This document summarizes a study that investigates the impact of applying activity-based costing (ABC) on organizational performance in Egyptian companies. The study uses a survey to collect data from a sample of manufacturing and service companies on their use of ABC and organizational performance. The results indicate that applying ABC is positively associated with improvements in organizational performance. ABC is shown to provide more accurate cost information and insights to support strategic decision-making around areas like pricing, product development, and process improvements. The accurate information from ABC allows companies to better measure performance and make decisions that can enhance efficiency and strategy over the long run.Investigating the link between enterprise resource planning (erp) effectivene...
This study investigates the relationship between enterprise resource planning (ERP) effectiveness and supply chain management. The study distributed questionnaires to 306 employees at electrical industrial companies in Jordan. 283 responses were received and analyzed statistically. The findings indicate a significant relationship between ERP effectiveness and supply chain management. Specifically, system quality, information quality, use of ERP systems, and organizational impact were found to have a significant relationship with supply chain management, while user satisfaction and individual impact did not. The study recommends further research in other countries and among managerial employees to validate these findings.
PPC-3-Math.pdf
This document discusses using mathematical programming to optimize production planning and maximize profit for textile industries in Ethiopia. It presents a linear programming model and queue model to determine the optimal product mix and allocation of resources. The models aim to satisfy customer orders while maximizing total profit. Data was collected from 49 textile companies and used to estimate model parameters. The results showed the company's total monthly profit could be increased by 49.3% (from 4.4 million Birr to 9.3 million Birr) by applying the linear programming and queue models to production planning and resource allocation.
Adoption Of Six Sigma DMAIC To Reduce Cost Of Poor Quality
The document describes a case study where a company adopted Six Sigma DMAIC methodology to address the chronic problem of failure of cooling fan assemblies during repair. The company defined the problem, measured failure rates, analyzed root causes through tools like Pareto analysis, and improved processes by designing new software and equipment. These recommendations are estimated to save $34 lacs annually by reducing costs from rework. The case demonstrates how Six Sigma DMAIC can successfully reduce costs from poor quality during repair and maintenance.
Development of sustainable manufacturing decision making models for SMEs
The document outlines a research study on developing decision-making models for sustainable manufacturing in small and medium enterprises (SMEs). It discusses research background, gaps in existing literature, objectives, methods, and key findings. An empirical study was conducted to identify key performance measures for SME sustainability assessment. Two fuzzy logic-based models were developed for sustainability performance evaluation. Additionally, a novel integrated analytic hierarchy process-VIKOR method under interval-valued fuzzy environment was created for sustainable manufacturing strategy selection. Finally, a web-based expert system was built to facilitate performance assessment and strategy selection for manufacturing SMEs.
27798-108137-1-PB.pdf
The document discusses the Kaizen Costing System (KCS) and its potential to provide managers with strategies for reducing production costs at different stages of a product's life cycle. KCS involves continuous, incremental improvements to manufacturing processes. It was developed by Japanese firms as an alternative to traditional costing systems that focuses on non-quantifiable factors like quality and flexibility. The study examines accountants' perceptions of whether implementing KCS would lower costs in a product's introductory, minimal batch production, and maximum batch production phases through surveys. Statistical tests were used to analyze the data and determine if relationships exist between cost reduction strategies in the different phases.
IRJET- Enhance the Capacity of Outer Tube Machining Cell
This document discusses enhancing the capacity of an outer tube machining cell at a manufacturing plant. It begins by outlining the current problem of not being able to meet customer demand and having a production gap. The objectives are then stated as increasing production rate, maximizing resource use, meeting customer requirements, and increasing profit. Data is collected from the shop floor on processing times for each workstation. The longest processing workstation is identified as the bottleneck. Modifications are proposed to reduce processing time at the bottleneck station, such as modifying a scrap fixture, in order to increase production rate and meet forecasted demand. The proposed changes are expected to increase the production rate and fulfill customer requirements while gaining higher profits.
A lean model based outlook on cost & quality optimization in software projects
A large quantum of effort and research is being invested to address the Cost and Quality factors in software projects. Though the solutions, models and methodologies are well established through experimented processes, adoption and optimization of the required parameters for a specific project to obtain predictable and acceptable quality with minimum costs has always remained a challenge.
This paper discusses the Lean process in detail with the help of project data and demonstrates that simple, affordable and adoptable processes are more economical and focused on quality. Also, it is observed that the Lean Model enables a project to be well monitored and controlled by focusing on critical elements, thereby reducing overheads of bulky documentation and irrelevant processes. The above findings are statistically analyzed using the coefficient of variation, which strikes a direct correlation with the predictable quality in a project.
Devie Marlinda Suharsa
1) The document is an abstract for a thesis that examines the effect of performance measurement methods on project performance in the oil and gas industry.
2) It evaluates if project performance is effective and efficient using methods like the European Foundation for Quality Management Excellence Model, Balanced Scorecard, and Key Performance Indicators.
3) The research also aims to identify factors hindering project performance and solutions to address those factors.
Similar to Abstract 1 (20)
IRJET- Evaluating the Performance of Plant by Overall Equipment Effectiveness...
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A LINEAR PROGRAMMING METHOD TO ENHANCE RESOURCE UTILIZATION CASE OF ETHIOPIAN...
A LINEAR PROGRAMMING METHOD TO ENHANCE RESOURCE UTILIZATION CASE OF ETHIOPIAN...
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...
IMPLEMENTATION OF LEAN MANUFACTURING TOOLS FOR IMPROVING PRODUCTIVITY: A CASE...
Improving OHS & Productivity of RMG Industries By Analyzing Various KPIs
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An Application of DMAIC Methodology for Increasing the Yarn Quality in Textil...
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The Credibility and Plausibility of the Modified Usage of the Activity Based ...
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Investigating the link between enterprise resource planning (erp) effectivene...
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Adoption Of Six Sigma DMAIC To Reduce Cost Of Poor Quality
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Development of sustainable manufacturing decision making models for SMEs
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IRJET- Enhance the Capacity of Outer Tube Machining Cell
IRJET- Enhance the Capacity of Outer Tube Machining Cell
A lean model based outlook on cost & quality optimization in software projects
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Abstract 1
- 1. Apparel industry in Bangladesh plays a vital role behind economy growth and earning a major part of country’s exports earnings. To improve productivity and meet new challenges it is necessary that enhance operational performance and resources must be utilized properly and efficiently. Considering this, our study aims at improvement and optimization of Overall Equipment Effectiveness (OEE) basically a diagnostic tool that can help any manufacturing industries to develop their processes ensuring quality, consistency and productivity minimizing significant losses. For our study purpose we selected an apparel industry named Hoplun Bangladesh Ltd. a leading international fashion lingerie and swimwear company. A particular production line HLFS1-3-43 under sewing section is focused to conduct this study. Necessary data were collected from their IE department and the existing scenario of OEE was build up with its factors – availability, performance and quality. It was found that average OEE and other factors far from world stand ard and most significant losses were identified through pareto analysis and fishbone analysis. Availability and Performance rate factor were taken into account for improvement purpose of OEE through Simulati on Modeling. A simulation model of existing scenario was developted to indentify key factors of improvement. We proposed a improved simula tion model focusing those key factors through which output can be improved by 8.87%.For optimization purpose of OEE, two level and three facto rs Design of Experiments (DOE) approach was conducted using MiniTab 18 software. By measuring the the performance of existing system, reference values are ob tained for DOE. An optimized regression model was found which provides information about which is most influencing factor and classic relationship between avail abilty, performance rate and quality rate. Finally, contor plots and response surface method results in to optimized values of three factors OEE.