The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract
碩士 === 國立成功大學 === 工業與資訊管理學系 === 107 === Buyback contracts are the tools to reduce retailers’ remaining inventory for manufacturing industry. Recent literature has rarely discussed the marketing behaviors of the retailer under buyback contracts; hence, we consider a buyback contract where the retaile...
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ndltd-TW-107NCKU50410402019-10-26T06:24:12Z http://ndltd.ncl.edu.tw/handle/kwj693 The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract 在供應鏈買回合約下考慮零售商降價時間點 Wun-HongLi 李文宏 碩士 國立成功大學 工業與資訊管理學系 107 Buyback contracts are the tools to reduce retailers’ remaining inventory for manufacturing industry. Recent literature has rarely discussed the marketing behaviors of the retailer under buyback contracts; hence, we consider a buyback contract where the retailer should markdown and share the partial revenue to the supplier during the selling season. And we design three scenarios for the retailer to choose: (1) returning unsold units without markdown, (2) returning unsold units with markdown, and (3) selling all units out with markdown. The retailer will depend on the profits of the three scenarios to determine whether to markdown and whether to sell out all units. The demand is assumed to be linearly price and time dependent. And the retailer’s profit with markdown is a cubic polynomial. We use a method to solve the turning point in cubic polynomial. The objective in this research is to find the optimal price markdown time to maximize the retailer’s profit. The analytical results demonstrate that the retailer can obtain the best profit in the second scenario. The effects of contract parameters on profit and optimal markdown time for the retailer are also discussed. In addition, some managerial insights are provided into the buyback contract for the retailer. Tai-yue Wang 王泰裕 2019 學位論文 ; thesis 56 zh-TW |
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碩士 === 國立成功大學 === 工業與資訊管理學系 === 107 === Buyback contracts are the tools to reduce retailers’ remaining inventory for manufacturing industry. Recent literature has rarely discussed the marketing behaviors of the retailer under buyback contracts; hence, we consider a buyback contract where the retailer should markdown and share the partial revenue to the supplier during the selling season. And we design three scenarios for the retailer to choose: (1) returning unsold units without markdown, (2) returning unsold units with markdown, and (3) selling all units out with markdown. The retailer will depend on the profits of the three scenarios to determine whether to markdown and whether to sell out all units. The demand is assumed to be linearly price and time dependent. And the retailer’s profit with markdown is a cubic polynomial. We use a method to solve the turning point in cubic polynomial. The objective in this research is to find the optimal price markdown time to maximize the retailer’s profit. The analytical results demonstrate that the retailer can obtain the best profit in the second scenario. The effects of contract parameters on profit and optimal markdown time for the retailer are also discussed. In addition, some managerial insights are provided into the buyback contract for the retailer.
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author2 |
Tai-yue Wang |
author_facet |
Tai-yue Wang Wun-HongLi 李文宏 |
author |
Wun-HongLi 李文宏 |
spellingShingle |
Wun-HongLi 李文宏 The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
author_sort |
Wun-HongLi |
title |
The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
title_short |
The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
title_full |
The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
title_fullStr |
The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
title_full_unstemmed |
The Study on Price Markdown Time for the Retailer in Supply Chain Buyback Contract |
title_sort |
study on price markdown time for the retailer in supply chain buyback contract |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/kwj693 |
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