Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company
碩士 === 國立雲林科技大學 === 工業工程與管理系 === 106 === The global consumption pattern is gradually changing, the product life cycle is shortened, and consumers pay more attention to the individual characteristics of products. Manufacturers must have flexible customization and rapid response to a large number of c...
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ndltd-TW-106YUNT00310512019-05-16T00:37:23Z http://ndltd.ncl.edu.tw/handle/pcus94 Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company 探討非等效平行機台之排產與併單最佳化-以鞋廠為例 HSIAO, MING-CHIEH 蕭名傑 碩士 國立雲林科技大學 工業工程與管理系 106 The global consumption pattern is gradually changing, the product life cycle is shortened, and consumers pay more attention to the individual characteristics of products. Manufacturers must have flexible customization and rapid response to a large number of customized capabilities to quickly meet consumer demand. The shoe manufacturing industry adopts a typical flexible flow production system because of the complexity and diversity of its product structure. The cutting center is the key making process to the shoe and has a higher degree of automation than other departments. Therefore, this study focuses on the scheduling of this center. Questions are explored. Advantages of using unrelated parallel machine to support each other's production, taking into consideration the visual horizon of production and delivery deadline, minimizing the total number of change die, minimizing the max makespan, maximizing the total number of completed orders, and minimizing the mean tardiness. And construct a heuristic algorithm to solve the problem. It is expected that the overall production efficiency can be improved. WU, CHENG-HAN 吳政翰 2018 學位論文 ; thesis 63 zh-TW |
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碩士 === 國立雲林科技大學 === 工業工程與管理系 === 106 === The global consumption pattern is gradually changing, the product life cycle is shortened, and consumers pay more attention to the individual characteristics of products. Manufacturers must have flexible customization and rapid response to a large number of customized capabilities to quickly meet consumer demand. The shoe manufacturing industry adopts a typical flexible flow production system because of the complexity and diversity of its product structure. The cutting center is the key making process to the shoe and has a higher degree of automation than other departments. Therefore, this study focuses on the scheduling of this center. Questions are explored. Advantages of using unrelated parallel machine to support each other's production, taking into consideration the visual horizon of production and delivery deadline, minimizing the total number of change die, minimizing the max makespan, maximizing the total number of completed orders, and minimizing the mean tardiness. And construct a heuristic algorithm to solve the problem. It is expected that the overall production efficiency can be improved.
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author2 |
WU, CHENG-HAN |
author_facet |
WU, CHENG-HAN HSIAO, MING-CHIEH 蕭名傑 |
author |
HSIAO, MING-CHIEH 蕭名傑 |
spellingShingle |
HSIAO, MING-CHIEH 蕭名傑 Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
author_sort |
HSIAO, MING-CHIEH |
title |
Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
title_short |
Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
title_full |
Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
title_fullStr |
Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
title_full_unstemmed |
Unrelated Parallel Machine Scheduling and Combinational Dispatching Optimization - A Case Study of a Shoes Company |
title_sort |
unrelated parallel machine scheduling and combinational dispatching optimization - a case study of a shoes company |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/pcus94 |
work_keys_str_mv |
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1719168960867336192 |