The Joint Replenishment Problem with Warehouse-Space Restriction

碩士 === 東海大學 === 工業工程與經營資訊學系 === 92 === This study is an extension of the Joint Replenishment Problem (JRP) that takes into accounts the warehouse-space restrictions. The focus of this study is to determine the lot sizes of each product under power-of-two policy to minimize the total costs per unit t...

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Main Authors: Yen-Fei Lin, 林晏妃
Other Authors: Ming-Jong Yao
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/61939675595710042352
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spelling ndltd-TW-092THU000300232016-06-15T04:17:30Z http://ndltd.ncl.edu.tw/handle/61939675595710042352 The Joint Replenishment Problem with Warehouse-Space Restriction 配銷倉儲具空間限制下批量排程問題之研究 Yen-Fei Lin 林晏妃 碩士 東海大學 工業工程與經營資訊學系 92 This study is an extension of the Joint Replenishment Problem (JRP) that takes into accounts the warehouse-space restrictions. The focus of this study is to determine the lot sizes of each product under power-of-two policy to minimize the total costs per unit time and to generate a feasible replenishment schedule of multiple products without exceeding the available warehouse-space. In order to test the feasibility of any given solution, we propose a new heuristic, namely, Proc FT. Also, we propose a search algorithm and a genetic algorithm to secure the optimal solution (i.e., the replenishment frequencies of multiple products and the basic period) in this study. By our numerical experiments, we demonstrate that both solution approaches could effectively solve the JRP with warehouse-space restrictions. Also, for the decision makers who face this problem, we provide the guidelines to take an appropriate solution approach as their decision-support tool under different decision-making scenarios. Ming-Jong Yao 姚銘忠 2004 學位論文 ; thesis 142 zh-TW
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description 碩士 === 東海大學 === 工業工程與經營資訊學系 === 92 === This study is an extension of the Joint Replenishment Problem (JRP) that takes into accounts the warehouse-space restrictions. The focus of this study is to determine the lot sizes of each product under power-of-two policy to minimize the total costs per unit time and to generate a feasible replenishment schedule of multiple products without exceeding the available warehouse-space. In order to test the feasibility of any given solution, we propose a new heuristic, namely, Proc FT. Also, we propose a search algorithm and a genetic algorithm to secure the optimal solution (i.e., the replenishment frequencies of multiple products and the basic period) in this study. By our numerical experiments, we demonstrate that both solution approaches could effectively solve the JRP with warehouse-space restrictions. Also, for the decision makers who face this problem, we provide the guidelines to take an appropriate solution approach as their decision-support tool under different decision-making scenarios.
author2 Ming-Jong Yao
author_facet Ming-Jong Yao
Yen-Fei Lin
林晏妃
author Yen-Fei Lin
林晏妃
spellingShingle Yen-Fei Lin
林晏妃
The Joint Replenishment Problem with Warehouse-Space Restriction
author_sort Yen-Fei Lin
title The Joint Replenishment Problem with Warehouse-Space Restriction
title_short The Joint Replenishment Problem with Warehouse-Space Restriction
title_full The Joint Replenishment Problem with Warehouse-Space Restriction
title_fullStr The Joint Replenishment Problem with Warehouse-Space Restriction
title_full_unstemmed The Joint Replenishment Problem with Warehouse-Space Restriction
title_sort joint replenishment problem with warehouse-space restriction
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/61939675595710042352
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