Closest open location rule under stochastic demand
In modelling automated storage/retrieval systems, the assumption of random storage has been widely used to approximate the activity of the closest open location rule. Considering that the closest open location rule is so popular in practice, it is significant to validate the assumption, or identify...
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| Veröffentlicht in: | International journal of production research 2007-04, Vol.45 (7), p.1695-1705 |
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| container_title | International journal of production research |
| container_volume | 45 |
| creator | Park, B.-C. Lee, M.-K. |
| description | In modelling automated storage/retrieval systems, the assumption of random storage has been widely used to approximate the activity of the closest open location rule. Considering that the closest open location rule is so popular in practice, it is significant to validate the assumption, or identify under what conditions the assumption could be justified. In this study we show how the "true" activity distribution of the closest open location rule can be approximated by a "modified" uniform distribution. The modified distribution is then used to approximate the expected travel distance, which is simple to use yet accurate enough for practical purposes. We also show that the uniform approximation is valid even for different streams of demand and batch arrivals. |
| doi_str_mv | 10.1080/00207540600855007 |
| format | Article |
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We also show that the uniform approximation is valid even for different streams of demand and batch arrivals.</description><identifier>ISSN: 0020-7543</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207540600855007</identifier><identifier>CODEN: IJPRB8</identifier><language>eng</language><publisher>London: Taylor & Francis Group</publisher><subject>Applied sciences ; Approximation ; Automated storage retrieval systems ; Automated storage/retrieval system ; Closest open location rule ; Exact sciences and technology ; Inventory control, production control. Distribution ; Operational research and scientific management ; Operational research. 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Considering that the closest open location rule is so popular in practice, it is significant to validate the assumption, or identify under what conditions the assumption could be justified. In this study we show how the "true" activity distribution of the closest open location rule can be approximated by a "modified" uniform distribution. The modified distribution is then used to approximate the expected travel distance, which is simple to use yet accurate enough for practical purposes. We also show that the uniform approximation is valid even for different streams of demand and batch arrivals.</description><subject>Applied sciences</subject><subject>Approximation</subject><subject>Automated storage retrieval systems</subject><subject>Automated storage/retrieval system</subject><subject>Closest open location rule</subject><subject>Exact sciences and technology</subject><subject>Inventory control, production control. Distribution</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Random storage</subject><subject>Stochastic models</subject><subject>Studies</subject><subject>Travel time</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LxDAQhoMouH78AG9F0Ft10k7SLHiRxS8QvCh4C9lkipVssyYt6r83yyqCIuYyhzzPOy_D2AGHEw4KTgEqaASCBFBCADQbbMJrKUuh1OMmm6z-ywzU22wnpWfITyicsGrmQ6I0FGFJfeGDNUMX-iKOnoqxdxSLNAT7ZNLQ2cLRwvRuj221xifa_5y77OHy4n52Xd7eXd3Mzm9LizUOpUJUgKqaz6lSjXQNGVlj3mpES0gWJTniiPW8ckToVI1NK1FI56ZWAta77Hidu4zhZcwd9aJLlrw3PYUx6WqqAKYoMnj4A3wOY-xzN11xJZUUkmeIryEbQ0qRWr2M3cLEd81Br06of50wO0efwSZZ49toetulb1GJZlrxFdesua5vQ1yY1xC904N59yF-Sb_S9fA2ZPPsX7P-u-AH-8WT8A</recordid><startdate>200704</startdate><enddate>200704</enddate><creator>Park, B.-C.</creator><creator>Lee, M.-K.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>200704</creationdate><title>Closest open location rule under stochastic demand</title><author>Park, B.-C. ; Lee, M.-K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-84480482bbe2876d7ea634058a5fe4ec46ede1443b2dee4d8347f6456dd9c6043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Applied sciences</topic><topic>Approximation</topic><topic>Automated storage retrieval systems</topic><topic>Automated storage/retrieval system</topic><topic>Closest open location rule</topic><topic>Exact sciences and technology</topic><topic>Inventory control, production control. 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| ispartof | International journal of production research, 2007-04, Vol.45 (7), p.1695-1705 |
| issn | 0020-7543 1366-588X |
| language | eng |
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| source | Taylor & Francis:Master (3349 titles); Business Source Complete |
| subjects | Applied sciences Approximation Automated storage retrieval systems Automated storage/retrieval system Closest open location rule Exact sciences and technology Inventory control, production control. Distribution Operational research and scientific management Operational research. Management science Random storage Stochastic models Studies Travel time |
| title | Closest open location rule under stochastic demand |
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