Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear
碩士 === 國立雲林科技大學 === 工業工程與管理系 === 105 === Shoe manufacturing industry belong to labor-intensive industry, which still mainly depends on semi mechanical processing nowadays since the introduction of automation is relatively slow. Take the case study company as example, the defective rate of sewing mac...
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ndltd-TW-105YUNT00310302018-05-13T04:29:20Z http://ndltd.ncl.edu.tw/handle/2w66pd Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear 以最小化完工時間為目標含單站重工之生產排程 -以某鞋業製造商為例 CHANG, YUAN-CHEN 張元榛 碩士 國立雲林科技大學 工業工程與管理系 105 Shoe manufacturing industry belong to labor-intensive industry, which still mainly depends on semi mechanical processing nowadays since the introduction of automation is relatively slow. Take the case study company as example, the defective rate of sewing machine manufacturing procedures is from 8% to 10%. The wastes of materials and the losses of material costs could be decreased via rework approach that makes defective products into good products. However, workers on site may not be willing to choose rework approaches. If they do not want to rework, more materials would be needed to increase the production amounts, which increases the completion time. Even though workers are willing to rework, it is not uncommon to see that workers may set the defective products aside in the storage cache according to their rule of thumb, which may cause the inventory accumulation without good scheduling approaches of reworks. Therefore, this study considered the scheduling problems of flow shop for rework procedures in single stop to establish mathematics models taking advantage of genetic algorithm in hope of finding solutions for good scheduling approaches, which could minimize the maximal makespan in the manufacturing scheduling. Through case analyses, approaches of production amount without rework, launching rework scheduling once reaching 50% of total scheduled time (method 1), and launching rework scheduling once the defective rate reaching 50% (method 2) could be compared to understand the performances under varying rework stop numbers and defective rates. Finally, the optimal ratio between method 1 and method 2 to launch the sensibility analyses of rework scheduling was calculated to observe the alteration of completion time. LIU, YUNG-CHING LIN, CHUN-WEI 柳永青 林君維 2017 學位論文 ; thesis 64 zh-TW |
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碩士 === 國立雲林科技大學 === 工業工程與管理系 === 105 === Shoe manufacturing industry belong to labor-intensive industry, which still mainly depends on semi mechanical processing nowadays since the introduction of automation is relatively slow. Take the case study company as example, the defective rate of sewing machine manufacturing procedures is from 8% to 10%. The wastes of materials and the losses of material costs could be decreased via rework approach that makes defective products into good products.
However, workers on site may not be willing to choose rework approaches. If they do not want to rework, more materials would be needed to increase the production amounts, which increases the completion time. Even though workers are willing to rework, it is not uncommon to see that workers may set the defective products aside in the storage cache according to their rule of thumb, which may cause the inventory accumulation without good scheduling approaches of reworks.
Therefore, this study considered the scheduling problems of flow shop for rework procedures in single stop to establish mathematics models taking advantage of genetic algorithm in hope of finding solutions for good scheduling approaches, which could minimize the maximal makespan in the manufacturing scheduling. Through case analyses, approaches of production amount without rework, launching rework scheduling once reaching 50% of total scheduled time (method 1), and launching rework scheduling once the defective rate reaching 50% (method 2) could be compared to understand the performances under varying rework stop numbers and defective rates. Finally, the optimal ratio between method 1 and method 2 to launch the sensibility analyses of rework scheduling was calculated to observe the alteration of completion time.
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author2 |
LIU, YUNG-CHING |
author_facet |
LIU, YUNG-CHING CHANG, YUAN-CHEN 張元榛 |
author |
CHANG, YUAN-CHEN 張元榛 |
spellingShingle |
CHANG, YUAN-CHEN 張元榛 Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
author_sort |
CHANG, YUAN-CHEN |
title |
Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
title_short |
Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
title_full |
Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
title_fullStr |
Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
title_full_unstemmed |
Minimizing Makespan with Production Scheduling of Single Workstation Rework for Manufacturing Firm of Footwear |
title_sort |
minimizing makespan with production scheduling of single workstation rework for manufacturing firm of footwear |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/2w66pd |
work_keys_str_mv |
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