Scheduling Jobs Through Multiple Parallel Channels Using an Expert System

dc.contributor.author Soyuer, H.
dc.contributor.author Kocamaz, M.
dc.contributor.author Kazancoglu, Y.
dc.date.accessioned 2023-06-16T14:19:02Z
dc.date.available 2023-06-16T14:19:02Z
dc.date.issued 2007
dc.description.abstract In recent years, as a result of global competition, the efficiency and effectiveness of business processes are becoming much more critical than ever. Information technology constitutes a critical role as a strategic competitive tool in the global business market. In the previous paradigm, the holistic view was missing and ultimately did not contain real life constraints. The new paradigm is based on the systems approach and represents the real life circumstances of production with applicable and sufficient models. This study is based on an expert system for the scheduling of a manufacturing system. The expert system works with a unique algorithm, which has been developed in this paper. The aim is to develop an expert scheduling system which is realistic and applicable to real life situations. Job specification, machine competence, due date, earliest completion and minimum set up time are the factors which have been taken into account to achieve this aim. As a result, the algorithm achieves both applicability and optimality in solution. en_US
dc.identifier.doi 10.1080/09537280600940689
dc.identifier.issn 0953-7287
dc.identifier.issn 1366-5871
dc.identifier.scopus 2-s2.0-33847027319
dc.identifier.uri https://doi.org/10.1080/09537280600940689
dc.identifier.uri https://hdl.handle.net/20.500.14365/1656
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.ispartof Productıon Plannıng & Control en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject scheduling en_US
dc.subject production planning en_US
dc.subject expert system en_US
dc.subject Operations Management en_US
dc.subject Business en_US
dc.title Scheduling Jobs Through Multiple Parallel Channels Using an Expert System en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Kazancoglu, Yigit/0000-0001-9199-671X
gdc.author.id Kazancoglu, Yigit/0000-0001-9199-671X
gdc.author.scopusid 15849311700
gdc.author.scopusid 57196940597
gdc.author.scopusid 15848066400
gdc.author.wosid Kazancoglu, Yigit/AAT-5676-2021
gdc.author.wosid Kazancoglu, Yigit/E-7705-2015
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp Ege Univ, Fac Econ & Adm Sci, Ankara, Turkey; Izmir Univ Econ, Izmir, Turkey en_US
gdc.description.endpage 43 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 35 en_US
gdc.description.volume 18 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2077455446
gdc.identifier.wos WOS:000243665600006
gdc.index.type WoS
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.884139E-9
gdc.oaire.isgreen false
gdc.oaire.keywords production planning
gdc.oaire.keywords scheduling
gdc.oaire.keywords expert system
gdc.oaire.popularity 4.920917E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0502 economics and business
gdc.oaire.sciencefields 05 social sciences
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 0.81022543
gdc.openalex.normalizedpercentile 0.78
gdc.opencitations.count 7
gdc.plumx.crossrefcites 7
gdc.plumx.mendeley 12
gdc.plumx.scopuscites 10
gdc.scopus.citedcount 10
gdc.virtual.author Kazançoğlu, Yiğit
gdc.wos.citedcount 8
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