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Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better
Class‐based storage is widely studied in the literature and applied in practice. It divides all stored items into a number of classes according to their turnover. A class of items with higher turnover is allocated to a region closer to the warehouse depot. In the literature, it has been shown that t...
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Published in: | Production and operations management 2015-08, Vol.24 (8), p.1235-1247 |
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container_title | Production and operations management |
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creator | Yu, Yugang de Koster, René B.M. Guo, Xiaolong |
description | Class‐based storage is widely studied in the literature and applied in practice. It divides all stored items into a number of classes according to their turnover. A class of items with higher turnover is allocated to a region closer to the warehouse depot. In the literature, it has been shown that the use of more storage classes leads to a shorter travel time for storing and retrieving items. A basic assumption in this literature is that the required storage space for all items equals their average inventory level, which is valid only if an infinite number of items can be stored in each storage region. This study revisits class‐based storage by considering each storage space to contain only a finite number of items. We develop a travel time model and an algorithm that can be used for determining the optimal number and boundaries of storage classes in warehouses. Different from the conventional research, our findings illustrate that commonly a small number of classes is optimal. In addition, we find the travel time is fairly insensitive to the number of storage classes in a wide range around the optimum. This suggests that a manager can select a near‐optimal number of storage classes in an easy way and need not be worried about the impact of storage‐class reconfigurations. We validate our findings for various cases, including different ABC‐demand curves, space‐sharing factors, number of items, storage rack shapes, discrete storage locations, and stochastic item demand. |
doi_str_mv | 10.1111/poms.12334 |
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In addition, we find the travel time is fairly insensitive to the number of storage classes in a wide range around the optimum. This suggests that a manager can select a near‐optimal number of storage classes in an easy way and need not be worried about the impact of storage‐class reconfigurations. 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It divides all stored items into a number of classes according to their turnover. A class of items with higher turnover is allocated to a region closer to the warehouse depot. In the literature, it has been shown that the use of more storage classes leads to a shorter travel time for storing and retrieving items. A basic assumption in this literature is that the required storage space for all items equals their average inventory level, which is valid only if an infinite number of items can be stored in each storage region. This study revisits class‐based storage by considering each storage space to contain only a finite number of items. We develop a travel time model and an algorithm that can be used for determining the optimal number and boundaries of storage classes in warehouses. Different from the conventional research, our findings illustrate that commonly a small number of classes is optimal. In addition, we find the travel time is fairly insensitive to the number of storage classes in a wide range around the optimum. This suggests that a manager can select a near‐optimal number of storage classes in an easy way and need not be worried about the impact of storage‐class reconfigurations. We validate our findings for various cases, including different ABC‐demand curves, space‐sharing factors, number of items, storage rack shapes, discrete storage locations, and stochastic item demand.</description><subject>ABC class-based storage</subject><subject>Algorithms</subject><subject>AS/R system</subject><subject>logistics</subject><subject>Stochastic models</subject><subject>storage policy</subject><subject>Studies</subject><subject>Turnover</subject><subject>Warehousing</subject><issn>1059-1478</issn><issn>1937-5956</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kEFPwjAUxxejiYhe_ARNPJiYDNt1pas3IIKggAkSEy9N2d5wCAz7SpBv72BqPBh7eT38_v_38vO8c0ZrrHjXq3yBNRZwHh54Faa49IUS9cPiT4XyWSijY-8EcUYplTygFe-lNTeIftMgJGTkcmumQDaZeyWGtLNl5oAM1osJWJKnpOtggTdkjNlySvq5BbJPA5IMyTJ3pDHfmC2SJjgH9tQ7Ss0c4exrVr1x-_apdec_DDvdVuPBjwUVoR-wkCdSxZGBtC6liDiFIDKCCR4mKo7jMGWBohRUMIk4C1gUMxNLw1WiEiZTXvUuyt6Vzd_XgE7P8rVdFis1kzSUIZeSF9RVScU2R7SQ6pXNFsZuNaN6507v3Om9uwJmJbzJ5rD9h9SPw_7oO3NZZrBQ-OuEv9r9kszQwcdPu7Fvui65FPp50NF11Vf3vc5I9_gnX4OLeA</recordid><startdate>201508</startdate><enddate>201508</enddate><creator>Yu, Yugang</creator><creator>de Koster, René B.M.</creator><creator>Guo, Xiaolong</creator><general>Blackwell Publishing Ltd</general><general>SAGE Publications</general><general>Blackwell Publishers Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201508</creationdate><title>Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better</title><author>Yu, Yugang ; de Koster, René B.M. ; Guo, Xiaolong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5054-2143d79c8aef6775830e28a51534d9ccc4f12900e92b831218c1ac7a39d9d17f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>ABC class-based storage</topic><topic>Algorithms</topic><topic>AS/R system</topic><topic>logistics</topic><topic>Stochastic models</topic><topic>storage policy</topic><topic>Studies</topic><topic>Turnover</topic><topic>Warehousing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Yugang</creatorcontrib><creatorcontrib>de Koster, René B.M.</creatorcontrib><creatorcontrib>Guo, Xiaolong</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><jtitle>Production and operations management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Yugang</au><au>de Koster, René B.M.</au><au>Guo, Xiaolong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better</atitle><jtitle>Production and operations management</jtitle><addtitle>Prod Oper Manag</addtitle><date>2015-08</date><risdate>2015</risdate><volume>24</volume><issue>8</issue><spage>1235</spage><epage>1247</epage><pages>1235-1247</pages><issn>1059-1478</issn><eissn>1937-5956</eissn><coden>POMAEN</coden><abstract>Class‐based storage is widely studied in the literature and applied in practice. 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In addition, we find the travel time is fairly insensitive to the number of storage classes in a wide range around the optimum. This suggests that a manager can select a near‐optimal number of storage classes in an easy way and need not be worried about the impact of storage‐class reconfigurations. We validate our findings for various cases, including different ABC‐demand curves, space‐sharing factors, number of items, storage rack shapes, discrete storage locations, and stochastic item demand.</abstract><cop>Los Angeles, CA</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/poms.12334</doi><tpages>13</tpages></addata></record> |
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subjects | ABC class-based storage Algorithms AS/R system logistics Stochastic models storage policy Studies Turnover Warehousing |
title | Class-Based Storage with a Finite Number of Items: Using More Classes is not Always Better |
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