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On the exact calculation of the mean stock level in the base stock periodic review policy
Purpose: One of the most usual indicators to measure the performance of any inventory policy is the mean stock level. In the generalized base stock, periodic review policy, the expected mean stock during the replenishment cycle is usually estimated by practitioners and researchers with the tradition...
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Published in: | Journal of industrial engineering and management 2011-01, Vol.4 (2), p.194 |
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creator | Babiloni Griñón, María Eugenia Cardós Carboneras, Manuel Guijarro, Ester |
description | Purpose: One of the most usual indicators to measure the performance of any inventory policy is the mean stock level. In the generalized base stock, periodic review policy, the expected mean stock during the replenishment cycle is usually estimated by practitioners and researchers with the traditional Hadley-Whitin approximation. However it is not accurate enough and exact methods suggested on the related literature focus on specific demand distributions. This paper proposes a generalized method to compute the exact value of the expected mean stock to be used when demand is modelled by any uncorrelated, discrete and stationary demand pattern.
Design/methodology/approach: The suggested method is based on computing the probability of every stock level at every point of the replenishment cycle for which it is required to know the probability of any stock level at the beginning of the cycle and the probability transition matrix between two consecutive periods of time. Furthermore, the traditional Hadley-Whitin approximation is compared with the proposed exact method over different discrete demand distributions
Findings: This paper points out the lack of accuracy that the Hadley-Whitin approximation shows over a wide range of service levels and discrete demand
distributions.
Research limitations/implications: The suggested method requires the availability of appropriate tools as well as a sound mathematical background. For this reason, approximations to it are the logical further research of this work.
Practical implications: The use of the Hadley-Whitin approximation instead of
an exact method can lead to underestimate systematically the expected mean stock level. This fact may increase total costs of the inventory system.
Originality/value: The original derivation of an exact method to compute the expected mean stock level for the base stock, periodic review policy when demand is modelled by any discrete function and backlog is not allowed. |
doi_str_mv | 10.3926/jiem.2011.v4n2.p194-205 |
format | article |
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Design/methodology/approach: The suggested method is based on computing the probability of every stock level at every point of the replenishment cycle for which it is required to know the probability of any stock level at the beginning of the cycle and the probability transition matrix between two consecutive periods of time. Furthermore, the traditional Hadley-Whitin approximation is compared with the proposed exact method over different discrete demand distributions
Findings: This paper points out the lack of accuracy that the Hadley-Whitin approximation shows over a wide range of service levels and discrete demand
distributions.
Research limitations/implications: The suggested method requires the availability of appropriate tools as well as a sound mathematical background. For this reason, approximations to it are the logical further research of this work.
Practical implications: The use of the Hadley-Whitin approximation instead of
an exact method can lead to underestimate systematically the expected mean stock level. This fact may increase total costs of the inventory system.
Originality/value: The original derivation of an exact method to compute the expected mean stock level for the base stock, periodic review policy when demand is modelled by any discrete function and backlog is not allowed.</description><identifier>ISSN: 2013-8423</identifier><identifier>EISSN: 2013-0953</identifier><identifier>DOI: 10.3926/jiem.2011.v4n2.p194-205</identifier><language>eng</language><publisher>Barcelona: Universitat Politècnica de Catalunya</publisher><subject>Approximation ; Inventory management ; Operations research ; Order quantity ; Studies</subject><ispartof>Journal of industrial engineering and management, 2011-01, Vol.4 (2), p.194</ispartof><rights>Copyright Vicenc Fernandez 2011</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/928945982?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,11688,25753,27924,27925,36060,37012,44363,44590</link.rule.ids></links><search><creatorcontrib>Babiloni Griñón, María Eugenia</creatorcontrib><creatorcontrib>Cardós Carboneras, Manuel</creatorcontrib><creatorcontrib>Guijarro, Ester</creatorcontrib><title>On the exact calculation of the mean stock level in the base stock periodic review policy</title><title>Journal of industrial engineering and management</title><description>Purpose: One of the most usual indicators to measure the performance of any inventory policy is the mean stock level. In the generalized base stock, periodic review policy, the expected mean stock during the replenishment cycle is usually estimated by practitioners and researchers with the traditional Hadley-Whitin approximation. However it is not accurate enough and exact methods suggested on the related literature focus on specific demand distributions. This paper proposes a generalized method to compute the exact value of the expected mean stock to be used when demand is modelled by any uncorrelated, discrete and stationary demand pattern.
Design/methodology/approach: The suggested method is based on computing the probability of every stock level at every point of the replenishment cycle for which it is required to know the probability of any stock level at the beginning of the cycle and the probability transition matrix between two consecutive periods of time. Furthermore, the traditional Hadley-Whitin approximation is compared with the proposed exact method over different discrete demand distributions
Findings: This paper points out the lack of accuracy that the Hadley-Whitin approximation shows over a wide range of service levels and discrete demand
distributions.
Research limitations/implications: The suggested method requires the availability of appropriate tools as well as a sound mathematical background. For this reason, approximations to it are the logical further research of this work.
Practical implications: The use of the Hadley-Whitin approximation instead of
an exact method can lead to underestimate systematically the expected mean stock level. This fact may increase total costs of the inventory system.
Originality/value: The original derivation of an exact method to compute the expected mean stock level for the base stock, periodic review policy when demand is modelled by any discrete function and backlog is not allowed.</description><subject>Approximation</subject><subject>Inventory management</subject><subject>Operations research</subject><subject>Order quantity</subject><subject>Studies</subject><issn>2013-8423</issn><issn>2013-0953</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><recordid>eNotkMtOwzAQRSMEEhX0G7BYk-BH4sRLVPGSKnXTDSvLsSfCJY2D7RT69yQkq3neO6OTJHcEZ0xQ_niwcMwoJiQ75R3NeiLylOLiIlmNTZZiUbDLJa9yyq6TdQi2xjnHmFPOVsnHrkPxExD8Kh2RVq0eWhWt65Br_gdHUB0K0ekv1MIJWmRnQa0CLP0evHXGauThZOEH9a61-nybXDWqDbBe4k2yf3neb97S7e71ffO0TTXLq5gCEVzxmjJT4vH7wtTGNICxMow1FRhFKgHaUMMoEazWZcNrVYAoi5wUnLGb5H627b37HiBEeXCD78aLUtBqNBQVHZfKeUl7F4KHRvbeHpU_S4LlBFJOIOUEUk4g5QRyLItR-bAow6ClV9pJp-ycaBWl8tHqFiTNR6aU_QHiZHky</recordid><startdate>20110101</startdate><enddate>20110101</enddate><creator>Babiloni Griñón, María Eugenia</creator><creator>Cardós Carboneras, Manuel</creator><creator>Guijarro, Ester</creator><general>Universitat Politècnica de Catalunya</general><general>Vicenc Fernandez</general><scope>2VB</scope><scope>AALZO</scope><scope>AFIUA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L6V</scope><scope>M0C</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope></search><sort><creationdate>20110101</creationdate><title>On the exact calculation of the mean stock level in the base stock periodic review policy</title><author>Babiloni Griñón, María Eugenia ; Cardós Carboneras, Manuel ; Guijarro, Ester</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-e196a6b23d701945dbddfe00ad33f8eda189ecd2d32193bc7f6ba5e975415633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Approximation</topic><topic>Inventory management</topic><topic>Operations research</topic><topic>Order quantity</topic><topic>Studies</topic><toplevel>online_resources</toplevel><creatorcontrib>Babiloni Griñón, María Eugenia</creatorcontrib><creatorcontrib>Cardós Carboneras, Manuel</creatorcontrib><creatorcontrib>Guijarro, Ester</creatorcontrib><collection>Revistes Catalanes RACO</collection><collection>Revistes Catalanes amb Accés Obert (RACO) (Full Text)</collection><collection>Revistes Catalanes amb Accés Obert (RACO)</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>ProQuest Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of industrial engineering and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Babiloni Griñón, María Eugenia</au><au>Cardós Carboneras, Manuel</au><au>Guijarro, Ester</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the exact calculation of the mean stock level in the base stock periodic review policy</atitle><jtitle>Journal of industrial engineering and management</jtitle><date>2011-01-01</date><risdate>2011</risdate><volume>4</volume><issue>2</issue><spage>194</spage><pages>194-</pages><issn>2013-8423</issn><eissn>2013-0953</eissn><abstract>Purpose: One of the most usual indicators to measure the performance of any inventory policy is the mean stock level. In the generalized base stock, periodic review policy, the expected mean stock during the replenishment cycle is usually estimated by practitioners and researchers with the traditional Hadley-Whitin approximation. However it is not accurate enough and exact methods suggested on the related literature focus on specific demand distributions. This paper proposes a generalized method to compute the exact value of the expected mean stock to be used when demand is modelled by any uncorrelated, discrete and stationary demand pattern.
Design/methodology/approach: The suggested method is based on computing the probability of every stock level at every point of the replenishment cycle for which it is required to know the probability of any stock level at the beginning of the cycle and the probability transition matrix between two consecutive periods of time. Furthermore, the traditional Hadley-Whitin approximation is compared with the proposed exact method over different discrete demand distributions
Findings: This paper points out the lack of accuracy that the Hadley-Whitin approximation shows over a wide range of service levels and discrete demand
distributions.
Research limitations/implications: The suggested method requires the availability of appropriate tools as well as a sound mathematical background. For this reason, approximations to it are the logical further research of this work.
Practical implications: The use of the Hadley-Whitin approximation instead of
an exact method can lead to underestimate systematically the expected mean stock level. This fact may increase total costs of the inventory system.
Originality/value: The original derivation of an exact method to compute the expected mean stock level for the base stock, periodic review policy when demand is modelled by any discrete function and backlog is not allowed.</abstract><cop>Barcelona</cop><pub>Universitat Politècnica de Catalunya</pub><doi>10.3926/jiem.2011.v4n2.p194-205</doi><oa>free_for_read</oa></addata></record> |
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subjects | Approximation Inventory management Operations research Order quantity Studies |
title | On the exact calculation of the mean stock level in the base stock periodic review policy |
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