The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost
碩士 === 中原大學 === 企業管理研究所 === 99 === This study tries to promote the concept of Huang [Applied Mathematical Modelling 30 (2006) 418-436] and to investigate the retailer’s inventory policy under two levels of trade credit, limited storage capacity and transportation cost. In this model, a rented wareho...
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ndltd-TW-099CYCU51210032015-10-30T04:05:23Z http://ndltd.ncl.edu.tw/handle/63170072547993907317 The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost 二階信用交易下零售商考慮有限倉儲與運輸成本之最適經濟訂購策略 Nae-Luen Shiau 蕭乃綸 碩士 中原大學 企業管理研究所 99 This study tries to promote the concept of Huang [Applied Mathematical Modelling 30 (2006) 418-436] and to investigate the retailer’s inventory policy under two levels of trade credit, limited storage capacity and transportation cost. In this model, a rented warehouse (RW) is used to store the excess units over the fixed capacity W of the own warehouse (OW) and the holding cost in RW is greater than that in OW, and it would generate the transportation cost from the process that goods shipped from OW to RW. The study also adopts Teng’s viewpoint (2002) that the retailer’s unit selling price is greater than the unit purchasing price. Then we make use of derivative approach to develop three theorems to find out the optimal replenishment cycle time. Finally, the result shows that when the retailer’s own warehouse storage capacity W is small, the optimal cycle time is decreasing as the RW unit stock-holding cost k, the unit selling price p or the unit transportation cost s is increasing. And some numerical examples are given to illustrate these theorems. Kun-Jen Chung Ghi-Feng Yen 鐘崑仁 嚴奇峰 2011 學位論文 ; thesis 35 en_US |
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碩士 === 中原大學 === 企業管理研究所 === 99 === This study tries to promote the concept of Huang [Applied Mathematical Modelling 30 (2006) 418-436] and to investigate the retailer’s inventory policy under two levels of trade credit, limited storage capacity and transportation cost. In this model, a rented warehouse (RW) is used to store the excess units over the fixed capacity W of the own warehouse (OW) and the holding cost in RW is greater than that in OW, and it would generate the transportation cost from the process that goods shipped from OW to RW. The study also adopts Teng’s viewpoint (2002) that the retailer’s unit selling price is greater than the unit purchasing price. Then we make use of derivative approach to develop three theorems to find out the optimal replenishment cycle time. Finally, the result shows that when the retailer’s own warehouse storage capacity W is small, the optimal cycle time is decreasing as the RW unit stock-holding cost k, the unit selling price p or the unit transportation cost s is increasing. And some numerical examples are given to illustrate these theorems.
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author2 |
Kun-Jen Chung |
author_facet |
Kun-Jen Chung Nae-Luen Shiau 蕭乃綸 |
author |
Nae-Luen Shiau 蕭乃綸 |
spellingShingle |
Nae-Luen Shiau 蕭乃綸 The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
author_sort |
Nae-Luen Shiau |
title |
The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
title_short |
The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
title_full |
The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
title_fullStr |
The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
title_full_unstemmed |
The Optimal Retailer’s Ordering Policies with Trade Credit Financing, Limited Storage Capacity and Transportation Cost |
title_sort |
optimal retailer’s ordering policies with trade credit financing, limited storage capacity and transportation cost |
publishDate |
2011 |
url |
http://ndltd.ncl.edu.tw/handle/63170072547993907317 |
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