The Study of Production Planning for a Make-to-Order Model
碩士 === 南開科技大學 === 車輛與機電產業研究所 === 99 === Nowadays, companies need to compete with facing short product life cycle, request for customers, product customization and other changes in the global competition and changing in production patterns. Generally, customers order a wide items such that companies...
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ndltd-TW-099NKUT71620172015-10-13T19:07:21Z http://ndltd.ncl.edu.tw/handle/73163551936034041742 The Study of Production Planning for a Make-to-Order Model 訂單生產下之排程研究 Wei-Yu Chou 周威宇 碩士 南開科技大學 車輛與機電產業研究所 99 Nowadays, companies need to compete with facing short product life cycle, request for customers, product customization and other changes in the global competition and changing in production patterns. Generally, customers order a wide items such that companies have a wide variety of products. Multinational companies have to invest a lot of professionals, capital and software and hardware for orders; while mostly small companies generally work by hand for orders. As a result, in a small company, the time required to arrange the order sequence is long and is prone to error. This study develops a scheduling method based on an artificial, with software-assisted to adjust the production scheduling. We first utilize BOM, routing sheet, operation table, and operation process chart to construct the manufacturing process of products. We then use ERP and system simulation softwares to arrange the production scheduling and to find the bottleneck stations, respectively. In addition, we propose a new manufacturing processing of products to improve the production efficiently. The results shown that the idle time of stations is reduced from 50% to 37.5% . Our model is efficiently and effectively to improve the production scheduling for a small company. Suh-Jenq Yang 楊肅正 2011 學位論文 ; thesis 153 zh-TW |
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碩士 === 南開科技大學 === 車輛與機電產業研究所 === 99 === Nowadays, companies need to compete with facing short product life cycle, request for customers, product customization and other changes in the global competition and changing in production patterns. Generally, customers order a wide items such that companies have a wide variety of products. Multinational companies have to invest a lot of professionals, capital and software and hardware for orders; while mostly small companies generally work by hand for orders. As a result, in a small company, the time required to arrange the order sequence is long and is prone to error.
This study develops a scheduling method based on an artificial, with software-assisted to adjust the production scheduling. We first utilize BOM, routing sheet, operation table, and operation process chart to construct the manufacturing process of products. We then use ERP and system simulation softwares to arrange the production scheduling and to find the bottleneck stations, respectively. In addition, we propose a new manufacturing processing of products to improve the production efficiently. The results shown that the idle time of stations is reduced from 50% to 37.5% . Our model is efficiently and effectively to improve the production scheduling for a small company.
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author2 |
Suh-Jenq Yang |
author_facet |
Suh-Jenq Yang Wei-Yu Chou 周威宇 |
author |
Wei-Yu Chou 周威宇 |
spellingShingle |
Wei-Yu Chou 周威宇 The Study of Production Planning for a Make-to-Order Model |
author_sort |
Wei-Yu Chou |
title |
The Study of Production Planning for a Make-to-Order Model |
title_short |
The Study of Production Planning for a Make-to-Order Model |
title_full |
The Study of Production Planning for a Make-to-Order Model |
title_fullStr |
The Study of Production Planning for a Make-to-Order Model |
title_full_unstemmed |
The Study of Production Planning for a Make-to-Order Model |
title_sort |
study of production planning for a make-to-order model |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/73163551936034041742 |
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