Operational Extended Model Formulations for Advanced Planning and Scheduling Systems

dc.contributor.author Ozturk, Cemalettin
dc.contributor.author Örnek, Mustafa Arslan
dc.date.accessioned 2023-06-16T12:58:54Z
dc.date.available 2023-06-16T12:58:54Z
dc.date.issued 2014
dc.description.abstract Since the basic reasoning of Manufacturing Resources Planning (MRPII) systems is flawed, a new breed of concepts called Advanced Planning and Scheduling systems CAPS) have recently emerged to overcome the problems occurring on the shop floor. In this study, we develop improved and extended mixed integer programming formulations for APS systems at the factory planning level. First, we develop a basic model which explicitly considers capacity constraints, operation sequences, processing times, and due dates in a multi-machine, multi-order, multi-item environment where an item can be processed on a given set of eligible machines. The extensions to the basic model include sequence dependent setups, and transfer times between machines. We also show that our model with a little modification could be used to quote delivery times for customer orders in case due dates are not specified. We provide numerical examples and our conclusions along with future research directions. (C) 2013 Elsevier Inc. All rights reserved. en_US
dc.identifier.doi 10.1016/j.apm.2013.05.049
dc.identifier.issn 0307-904X
dc.identifier.issn 1872-8480
dc.identifier.scopus 2-s2.0-84887623374
dc.identifier.uri https://doi.org/10.1016/j.apm.2013.05.049
dc.identifier.uri https://hdl.handle.net/20.500.14365/1063
dc.language.iso en en_US
dc.publisher Elsevier Science Inc en_US
dc.relation.ispartof Applıed Mathematıcal Modellıng en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Scheduling en_US
dc.subject MRP en_US
dc.subject Advanced Planning and Scheduling en_US
dc.subject Mixed integer programming en_US
dc.subject Integer Programming-Model en_US
dc.subject Constraints en_US
dc.title Operational Extended Model Formulations for Advanced Planning and Scheduling Systems en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ornek, M Arslan/0000-0002-8612-5183
gdc.author.id Ozturk, Cemalettin/0000-0001-5190-9319
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gdc.author.wosid Ornek, M Arslan/A-5643-2009
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Ekonomi Üniversitesi en_US
gdc.description.departmenttemp [Ozturk, Cemalettin; Ornek, Arslan M.] Izmir Univ Econ, Dept Ind Engn, TR-35330 Izmir, Turkey en_US
gdc.description.endpage 195 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 181 en_US
gdc.description.volume 38 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W2069656608
gdc.identifier.wos WOS:000330490500013
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gdc.oaire.keywords Deterministic scheduling theory in operations research
gdc.oaire.keywords Mixed integer programming
gdc.oaire.keywords MRP
gdc.oaire.keywords scheduling
gdc.oaire.keywords Production models
gdc.oaire.keywords advanced planning and scheduling
gdc.oaire.keywords mixed integer programming
gdc.oaire.popularity 7.299629E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 12
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 67
gdc.plumx.scopuscites 17
gdc.scopus.citedcount 17
gdc.virtual.author Örnek, Mustafa Arslan
gdc.wos.citedcount 13
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