Investigation of large scale multi-echelon service systems
Identifieur interne : 001453 ( Istex/Corpus ); précédent : 001452; suivant : 001454Investigation of large scale multi-echelon service systems
Auteurs : Aw Richardson ; A. MehrezSource :
- Omega [ 0305-0483 ] ; 1989.
Abstract
There exist many instances of large scale systems composed of operational units each having a number of standalone operating machines experiencing periodic breakdowns. Within this category of systems, there are some which experience relatively severe operating conditions and a high level of utilization, and so have a significant requirement for maintenance. Studies are required to facilitate the development of managerial policies for the design and operation of such systems. Past work in the operations management and operations research literature has used many restrictive assumptions in order to make optimization studies of these systems feasible. Unfortunately, this has led to results which are often limited in their applicability. In this paper, simulation analysis is used to investigate the impact of various policies in one such system with a view to testing certain observed practices and intuitively appealing heuristic decision rules, in order to provide some guidance for actual decisions. In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. The analysis leads to various conclusions, some agreeing with intuition and others not, that provide guidance for system design and operation.
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DOI: 10.1016/0305-0483(89)90042-X
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Mehrez</name><affiliation><mods:affiliation>Ben Gurion University, Israel</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Omega</title><title level="j" type="abbrev">OME</title><idno type="ISSN">0305-0483</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1989">1989</date><biblScope unit="volume">17</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="457">457</biblScope><biblScope unit="page" to="469">469</biblScope></imprint><idno type="ISSN">0305-0483</idno></series><idno type="istex">C58348F7924CB1B5B810C01F3AA860A21E4645E2</idno><idno type="DOI">10.1016/0305-0483(89)90042-X</idno><idno type="PII">0305-0483(89)90042-X</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0305-0483</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">There exist many instances of large scale systems composed of operational units each having a number of standalone operating machines experiencing periodic breakdowns. Within this category of systems, there are some which experience relatively severe operating conditions and a high level of utilization, and so have a significant requirement for maintenance. Studies are required to facilitate the development of managerial policies for the design and operation of such systems. Past work in the operations management and operations research literature has used many restrictive assumptions in order to make optimization studies of these systems feasible. Unfortunately, this has led to results which are often limited in their applicability. In this paper, simulation analysis is used to investigate the impact of various policies in one such system with a view to testing certain observed practices and intuitively appealing heuristic decision rules, in order to provide some guidance for actual decisions. In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. The analysis leads to various conclusions, some agreeing with intuition and others not, that provide guidance for system design and operation.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>AW Richardson</name><affiliations><json:string>Brock University, St Catharines, Ontario, Canada</json:string></affiliations></json:item><json:item><name>A Mehrez</name><affiliations><json:string>Ben Gurion University, Israel</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>There exist many instances of large scale systems composed of operational units each having a number of standalone operating machines experiencing periodic breakdowns. Within this category of systems, there are some which experience relatively severe operating conditions and a high level of utilization, and so have a significant requirement for maintenance. Studies are required to facilitate the development of managerial policies for the design and operation of such systems. Past work in the operations management and operations research literature has used many restrictive assumptions in order to make optimization studies of these systems feasible. Unfortunately, this has led to results which are often limited in their applicability. In this paper, simulation analysis is used to investigate the impact of various policies in one such system with a view to testing certain observed practices and intuitively appealing heuristic decision rules, in order to provide some guidance for actual decisions. In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. 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In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. The analysis leads to various conclusions, some agreeing with intuition and others not, that provide guidance for system design and operation.</p></abstract></profileDesc><revisionDesc><change when="1989">Published</change></revisionDesc></teiHeader></istex:fulltextTEI></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla"><item-info><jid>OME</jid><aid>8990042X</aid><ce:pii>0305-0483(89)90042-X</ce:pii><ce:doi>10.1016/0305-0483(89)90042-X</ce:doi><ce:copyright type="unknown" year="1989"></ce:copyright></item-info><head><ce:dochead><ce:textfn>Main paper</ce:textfn></ce:dochead><ce:title>Investigation of large scale multi-echelon service systems</ce:title><ce:author-group><ce:author><ce:given-name>AW</ce:given-name><ce:surname>Richardson</ce:surname><ce:cross-ref refid="COR1"><ce:sup>1</ce:sup></ce:cross-ref></ce:author><ce:affiliation><ce:textfn>Brock University, St Catharines, Ontario, Canada</ce:textfn></ce:affiliation><ce:correspondence id="COR1"><ce:label>1</ce:label><ce:text><ce:bold><ce:small-caps>address for correspondence</ce:small-caps>:</ce:bold> Dr AW Richardson, Faculty of Administration Studies, Brock University, St Catharines, Ontario, Canada L2S 3A1.</ce:text></ce:correspondence></ce:author-group><ce:author-group><ce:author><ce:given-name>A</ce:given-name><ce:surname>Mehrez</ce:surname></ce:author><ce:affiliation><ce:textfn>Ben Gurion University, Israel</ce:textfn></ce:affiliation></ce:author-group><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>There exist many instances of large scale systems composed of operational units each having a number of standalone operating machines experiencing periodic breakdowns. Within this category of systems, there are some which experience relatively severe operating conditions and a high level of utilization, and so have a significant requirement for maintenance. Studies are required to facilitate the development of managerial policies for the design and operation of such systems. Past work in the operations management and operations research literature has used many restrictive assumptions in order to make optimization studies of these systems feasible. Unfortunately, this has led to results which are often limited in their applicability. In this paper, simulation analysis is used to investigate the impact of various policies in one such system with a view to testing certain observed practices and intuitively appealing heuristic decision rules, in order to provide some guidance for actual decisions. In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. 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In particular, the interdependent policies for operating machine replacement, transportation, distribution and maintenance of a common type of system are investigated for a range of system capacity, demand and failure parameters. 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