The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem

碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 98 ===  In the competitive global market, companies have to increase adaptiveness and reactivity to cope with others. These capabilities are named as flexibility. Recently, some concepts of the lean system are introduced into many companies. One of the main ideas...

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Main Authors: Chin-HsuanSung, 宋沁璇
Other Authors: Taho Yang
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/65037579317772510284
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spelling ndltd-TW-098NCKU56210122015-11-06T04:03:45Z http://ndltd.ncl.edu.tw/handle/65037579317772510284 The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem 結合混整數規劃與模擬探討顧客與供應商之同步彈性策略 Chin-HsuanSung 宋沁璇 碩士 國立成功大學 製造資訊與系統研究所碩博士班 98  In the competitive global market, companies have to increase adaptiveness and reactivity to cope with others. These capabilities are named as flexibility. Recently, some concepts of the lean system are introduced into many companies. One of the main ideas of the lean system is reducing wastes through low inventory level. But while the variability existing in the production system, it may lead the companies to face the impacts of demand and supply uncertainty directly. However, it is unavoidable that manufacturer cannot keep the material inventory until the order is committed in the highly customized environment. To deal with this problem, this study introduces the combined customer and supplier flexibility strategy in the customer enquiry stage.  This paper presents a simulation tool and mixed integer programming formulation to solve order acceptance, price setting, due date setting, and supplier selection decisions. The experiments are composed of demand uncertainty environments and flexibility strategies. The flexibility strategies include no flexibility strategy, the customer flexibility strategy, the supplier flexibility strategy, and the combined customer and supplier flexibility strategy. The result shows that using flexibility strategies maintains the performance in the most of the uncertainty environments, and it improves 15.1% revenue than no flexibility strategy. Moreover, the combined customer and supplier flexibility strategy increase 21.7% revenue than no flexibility strategy. And the flexibility strategy gains more revenue than the single flexibility strategies. This analysis suggests that manufacturer can use flexibility strategies in the customer enquiry stage to cope with uncertainty. The negotiation for sharing risks with customers and suppliers will enhance the relationship between the supply chain members. Taho Yang 楊大和 2010 學位論文 ; thesis 98 zh-TW
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description 碩士 === 國立成功大學 === 製造資訊與系統研究所碩博士班 === 98 ===  In the competitive global market, companies have to increase adaptiveness and reactivity to cope with others. These capabilities are named as flexibility. Recently, some concepts of the lean system are introduced into many companies. One of the main ideas of the lean system is reducing wastes through low inventory level. But while the variability existing in the production system, it may lead the companies to face the impacts of demand and supply uncertainty directly. However, it is unavoidable that manufacturer cannot keep the material inventory until the order is committed in the highly customized environment. To deal with this problem, this study introduces the combined customer and supplier flexibility strategy in the customer enquiry stage.  This paper presents a simulation tool and mixed integer programming formulation to solve order acceptance, price setting, due date setting, and supplier selection decisions. The experiments are composed of demand uncertainty environments and flexibility strategies. The flexibility strategies include no flexibility strategy, the customer flexibility strategy, the supplier flexibility strategy, and the combined customer and supplier flexibility strategy. The result shows that using flexibility strategies maintains the performance in the most of the uncertainty environments, and it improves 15.1% revenue than no flexibility strategy. Moreover, the combined customer and supplier flexibility strategy increase 21.7% revenue than no flexibility strategy. And the flexibility strategy gains more revenue than the single flexibility strategies. This analysis suggests that manufacturer can use flexibility strategies in the customer enquiry stage to cope with uncertainty. The negotiation for sharing risks with customers and suppliers will enhance the relationship between the supply chain members.
author2 Taho Yang
author_facet Taho Yang
Chin-HsuanSung
宋沁璇
author Chin-HsuanSung
宋沁璇
spellingShingle Chin-HsuanSung
宋沁璇
The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
author_sort Chin-HsuanSung
title The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
title_short The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
title_full The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
title_fullStr The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
title_full_unstemmed The Use of Mixed Integer Programming Formulation and Simulation in Solving the Combined Customer and Supplier Flexibility Strategy Problem
title_sort use of mixed integer programming formulation and simulation in solving the combined customer and supplier flexibility strategy problem
publishDate 2010
url http://ndltd.ncl.edu.tw/handle/65037579317772510284
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