Service time commitment and capacity decision on after-sales service under demand uncertainty
碩士 === 國立成功大學 === 工業與資訊管理學系 === 105 === This thesis studied the service commitment of after-sales service and capacity strategies of the retailer under demand uncertainty. In this study, we considered a supply chain of durable products consisting of a manufacturer and a retailer. The retailer sells...
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ndltd-TW-105NCKU50410342019-05-15T23:47:00Z http://ndltd.ncl.edu.tw/handle/cfztrd Service time commitment and capacity decision on after-sales service under demand uncertainty 產品具隨機需求下售後服務之服務時間保證與產能決策 Kai-TingYu 游凱婷 碩士 國立成功大學 工業與資訊管理學系 105 This thesis studied the service commitment of after-sales service and capacity strategies of the retailer under demand uncertainty. In this study, we considered a supply chain of durable products consisting of a manufacturer and a retailer. The retailer sells products with after-sales service to customers whose purchase decision is affected by the retailer’s service commitment. Before the retailer sold products, he should determine the service level of after-sales service as commitments and decide how much capacity to build in advance. This study developed centralized and decentralized models to analyze the supply chain members’ decisions. Furthermore, we constructed the coordination mechanism which combines revenue sharing and cost sharing contracts to coordinate the supply chain. The results showed that the profit in the centralized model is reasonably greater than the decentralized model. And, we found that the supply chain can achieve coordination by setting the wholesale price lower than the product’s manufacturing cost. In considerations of the effect of customers’ sensitivities, we showed that the retailer will depend on customer preferences to determine service commitment. Chung-Chi Hsieh 謝中奇 2017 學位論文 ; thesis 59 zh-TW |
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碩士 === 國立成功大學 === 工業與資訊管理學系 === 105 === This thesis studied the service commitment of after-sales service and capacity strategies of the retailer under demand uncertainty. In this study, we considered a supply chain of durable products consisting of a manufacturer and a retailer. The retailer sells products with after-sales service to customers whose purchase decision is affected by the retailer’s service commitment. Before the retailer sold products, he should determine the service level of after-sales service as commitments and decide how much capacity to build in advance. This study developed centralized and decentralized models to analyze the supply chain members’ decisions. Furthermore, we constructed the coordination mechanism which combines revenue sharing and cost sharing contracts to coordinate the supply chain. The results showed that the profit in the centralized model is reasonably greater than the decentralized model. And, we found that the supply chain can achieve coordination by setting the wholesale price lower than the product’s manufacturing cost. In considerations of the effect of customers’ sensitivities, we showed that the retailer will depend on customer preferences to determine service commitment.
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Chung-Chi Hsieh |
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Chung-Chi Hsieh Kai-TingYu 游凱婷 |
author |
Kai-TingYu 游凱婷 |
spellingShingle |
Kai-TingYu 游凱婷 Service time commitment and capacity decision on after-sales service under demand uncertainty |
author_sort |
Kai-TingYu |
title |
Service time commitment and capacity decision on after-sales service under demand uncertainty |
title_short |
Service time commitment and capacity decision on after-sales service under demand uncertainty |
title_full |
Service time commitment and capacity decision on after-sales service under demand uncertainty |
title_fullStr |
Service time commitment and capacity decision on after-sales service under demand uncertainty |
title_full_unstemmed |
Service time commitment and capacity decision on after-sales service under demand uncertainty |
title_sort |
service time commitment and capacity decision on after-sales service under demand uncertainty |
publishDate |
2017 |
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http://ndltd.ncl.edu.tw/handle/cfztrd |
work_keys_str_mv |
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