<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-68H43GG0/e7a4b648-0ac7-4863-9cb8-96bc2df5db73/PDF"><dcterms:extent>1004 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:doc-68H43GG0/9786c48e-94d2-4b72-b776-f811f2bb7bec/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2014-2026"><edm:begin xml:lang="en">2014</edm:begin><edm:end xml:lang="en">2026</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:doc-68H43GG0"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-QCV9XF2O" /><dcterms:issued>2021</dcterms:issued><dc:creator>Koulouriotis, D. E.</dc:creator><dc:creator>Xanthopoulos, A. S.</dc:creator><dc:format xml:lang="sl">letnik:16</dc:format><dc:format xml:lang="sl">številka:4</dc:format><dc:format xml:lang="sl">str. 473-484</dc:format><dc:identifier>DOI:10.14743/apem2021.4.414</dc:identifier><dc:identifier>ISSN:1854-6250</dc:identifier><dc:identifier>COBISSID_HOST:270927107</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-68H43GG0</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</dc:publisher><dcterms:isPartOf xml:lang="sl">Advances in production engineering and management</dcterms:isPartOf><dc:subject xml:lang="en">discrete event simulation (DES)</dc:subject><dc:subject xml:lang="en">JaamSim DES software</dc:subject><dc:subject xml:lang="en">multi-product manufacturing</dc:subject><dc:subject xml:lang="en">multi-stage production systems</dc:subject><dc:subject xml:lang="sl">odprtokodna programska oprema</dc:subject><dc:subject xml:lang="en">open-source software</dc:subject><dc:subject xml:lang="sl">programska oprema JaamSim DES</dc:subject><dc:subject xml:lang="sl">proizvodnja več izdelkov</dc:subject><dc:subject xml:lang="en">pull-type production control strategies</dc:subject><dc:subject xml:lang="sl">simulacije diskretnih dogodkov</dc:subject><dc:subject xml:lang="sl">strategije nadzora proizvodnje tipa pull</dc:subject><dc:subject xml:lang="sl">večstopenjski proizvodni sistemi</dc:subject><dcterms:temporal rdf:resource="2014-2026" /><dc:title xml:lang="sl">A comparative study of different pull control strategies in multi-product manufacturing systems using discrete event simulation|</dc:title><dc:description xml:lang="sl">Pull production control strategies coordinate manufacturing operations based on actual demand. Up to now, relevant publications mostly examine manufacturing systems that produce a single type of a product. In this research, we examine the CONWIP, Base Stock, and CONWIP/Kanban Hybrid pull strategies in multi-product manufacturing systems. In a multi-product manufacturing system, several types of products are manufactured by utilizing the same resources. We develop queueing network models of multi-stage, multiproduct manufacturing systems operating under the three aforementioned pull control strategies. Simulation models of the alternative production systems are implemented using an open-source software. A comparative evaluation of CONWIP, Base Stock and CONWIP/Kanban Hybrid in multi-product manufacturing is carried out in a series of simulation experiments with varying demand arrival rates, setup times and control parameters. The control strategies are compared based on average wait time of backordered demand, average finished products inventories, and average length of backorders queues. The Base Stock strategy excels when the manufacturing system is subjected to high demand arrival rates. The CONWIP strategy produced consistently the highest level of finished goods inventories. The CONWIP/Kanban Hybrid strategy is significantly affected by the workload that is imposed on the system</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:doc-68H43GG0"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:doc-68H43GG0" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:doc-68H43GG0/e7a4b648-0ac7-4863-9cb8-96bc2df5db73/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Fakulteta za strojništvo</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:doc-68H43GG0/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:doc-68H43GG0" /></ore:Aggregation></rdf:RDF>