Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm

This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of computer integrated manufacturing 2021-02, Vol.34 (2), p.153-174
Hauptverfasser: Reddy, N. Sivarami, Ramamurthy, D. V., Rao, K. Prahlada, Lalitha, M. Padma
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 174
container_issue 2
container_start_page 153
container_title International journal of computer integrated manufacturing
container_volume 34
creator Reddy, N. Sivarami
Ramamurthy, D. V.
Rao, K. Prahlada
Lalitha, M. Padma
description This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM) that shares with and serves for several machines. Jobs and tools between machines are transferred by AGVs and TT, respectively. This simultaneous scheduling problem is highly complex in nature as it involves job-operations sequencing on machines, assigning AGVs and tools to job-operations and associated trip operations including the times of empty trip and loaded trip of both AGVs and TT. This paper presents nonlinear-mixed integer programming (MIP) formulation to model and symbiotic organisms search (SOS) algorithm based on the symbiotic interaction strategies that organisms use to survive in the ecosystem to solve this simultaneous scheduling problem. The results have been tabulated and analyzed. An industrial problem in a manufacturing company is used for verification and the result obtained by SOS algorithm is compared with other algorithm.
doi_str_mv 10.1080/0951192X.2020.1858503
format Article
fullrecord <record><control><sourceid>crossref_infor</sourceid><recordid>TN_cdi_crossref_primary_10_1080_0951192X_2020_1858503</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1080_0951192X_2020_1858503</sourcerecordid><originalsourceid>FETCH-LOGICAL-c368t-ea98c8bfe16c96f7fab5fdecbada7cd2437a8d41cfcdc0d01485ecf340df563b3</originalsourceid><addsrcrecordid>eNp9kN1KwzAYhoMoOKeXIOQC7EyapkvPHMNNYaLgD56Vr_lZI20ykg7ZZXjHtm479eT74OX9gQeha0omlAhySwpOaZF-TlKS9pLgghN2gkaU5WnCCE9P0WjwJIPpHF3E-EUIZVyQEfp5CSA7K6HB0bbbpgOn_TbiKGutto11a-wNbkHW1ul4g2fLj_523je4C-DixodOBwxO_YkRW4cBD0X2mMKLp1e8jUNV3LWV9f0c9mENzsa2X9IQZI2hWftgu7q9RGcGmqivDn-M3hf3b_OHZPW8fJzPVolkuegSDYWQojKa5rLIzdRAxY3SsgIFU6nSjE1BqIxKI5UkitBMcC0Ny4gyPGcVGyO-75XBxxi0KTfBthB2JSXlwLU8ci0HruWBa5-72-esMz608O1Do8oOdo0PpkcibSzZ_xW_XBmE_A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm</title><source>Business Source Complete</source><creator>Reddy, N. Sivarami ; Ramamurthy, D. V. ; Rao, K. Prahlada ; Lalitha, M. Padma</creator><creatorcontrib>Reddy, N. Sivarami ; Ramamurthy, D. V. ; Rao, K. Prahlada ; Lalitha, M. Padma</creatorcontrib><description>This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM) that shares with and serves for several machines. Jobs and tools between machines are transferred by AGVs and TT, respectively. This simultaneous scheduling problem is highly complex in nature as it involves job-operations sequencing on machines, assigning AGVs and tools to job-operations and associated trip operations including the times of empty trip and loaded trip of both AGVs and TT. This paper presents nonlinear-mixed integer programming (MIP) formulation to model and symbiotic organisms search (SOS) algorithm based on the symbiotic interaction strategies that organisms use to survive in the ecosystem to solve this simultaneous scheduling problem. The results have been tabulated and analyzed. An industrial problem in a manufacturing company is used for verification and the result obtained by SOS algorithm is compared with other algorithm.</description><identifier>ISSN: 0951-192X</identifier><identifier>EISSN: 1362-3052</identifier><identifier>DOI: 10.1080/0951192X.2020.1858503</identifier><language>eng</language><publisher>Taylor &amp; Francis</publisher><subject>AGVs ; FMS ; makespan ; metaheuristic ; optimization technique ; scheduling ; symbiotic organisms search algorithm ; tool transporter</subject><ispartof>International journal of computer integrated manufacturing, 2021-02, Vol.34 (2), p.153-174</ispartof><rights>2021 Informa UK Limited, trading as Taylor &amp; Francis Group 2021</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ea98c8bfe16c96f7fab5fdecbada7cd2437a8d41cfcdc0d01485ecf340df563b3</citedby><cites>FETCH-LOGICAL-c368t-ea98c8bfe16c96f7fab5fdecbada7cd2437a8d41cfcdc0d01485ecf340df563b3</cites><orcidid>0000-0003-0742-2217 ; 0000-0003-2369-1257</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Reddy, N. Sivarami</creatorcontrib><creatorcontrib>Ramamurthy, D. V.</creatorcontrib><creatorcontrib>Rao, K. Prahlada</creatorcontrib><creatorcontrib>Lalitha, M. Padma</creatorcontrib><title>Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm</title><title>International journal of computer integrated manufacturing</title><description>This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM) that shares with and serves for several machines. Jobs and tools between machines are transferred by AGVs and TT, respectively. This simultaneous scheduling problem is highly complex in nature as it involves job-operations sequencing on machines, assigning AGVs and tools to job-operations and associated trip operations including the times of empty trip and loaded trip of both AGVs and TT. This paper presents nonlinear-mixed integer programming (MIP) formulation to model and symbiotic organisms search (SOS) algorithm based on the symbiotic interaction strategies that organisms use to survive in the ecosystem to solve this simultaneous scheduling problem. The results have been tabulated and analyzed. An industrial problem in a manufacturing company is used for verification and the result obtained by SOS algorithm is compared with other algorithm.</description><subject>AGVs</subject><subject>FMS</subject><subject>makespan</subject><subject>metaheuristic</subject><subject>optimization technique</subject><subject>scheduling</subject><subject>symbiotic organisms search algorithm</subject><subject>tool transporter</subject><issn>0951-192X</issn><issn>1362-3052</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kN1KwzAYhoMoOKeXIOQC7EyapkvPHMNNYaLgD56Vr_lZI20ykg7ZZXjHtm479eT74OX9gQeha0omlAhySwpOaZF-TlKS9pLgghN2gkaU5WnCCE9P0WjwJIPpHF3E-EUIZVyQEfp5CSA7K6HB0bbbpgOn_TbiKGutto11a-wNbkHW1ul4g2fLj_523je4C-DixodOBwxO_YkRW4cBD0X2mMKLp1e8jUNV3LWV9f0c9mENzsa2X9IQZI2hWftgu7q9RGcGmqivDn-M3hf3b_OHZPW8fJzPVolkuegSDYWQojKa5rLIzdRAxY3SsgIFU6nSjE1BqIxKI5UkitBMcC0Ny4gyPGcVGyO-75XBxxi0KTfBthB2JSXlwLU8ci0HruWBa5-72-esMz608O1Do8oOdo0PpkcibSzZ_xW_XBmE_A</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Reddy, N. Sivarami</creator><creator>Ramamurthy, D. V.</creator><creator>Rao, K. Prahlada</creator><creator>Lalitha, M. Padma</creator><general>Taylor &amp; Francis</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-0742-2217</orcidid><orcidid>https://orcid.org/0000-0003-2369-1257</orcidid></search><sort><creationdate>20210201</creationdate><title>Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm</title><author>Reddy, N. Sivarami ; Ramamurthy, D. V. ; Rao, K. Prahlada ; Lalitha, M. Padma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-ea98c8bfe16c96f7fab5fdecbada7cd2437a8d41cfcdc0d01485ecf340df563b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>AGVs</topic><topic>FMS</topic><topic>makespan</topic><topic>metaheuristic</topic><topic>optimization technique</topic><topic>scheduling</topic><topic>symbiotic organisms search algorithm</topic><topic>tool transporter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reddy, N. Sivarami</creatorcontrib><creatorcontrib>Ramamurthy, D. V.</creatorcontrib><creatorcontrib>Rao, K. Prahlada</creatorcontrib><creatorcontrib>Lalitha, M. Padma</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of computer integrated manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reddy, N. Sivarami</au><au>Ramamurthy, D. V.</au><au>Rao, K. Prahlada</au><au>Lalitha, M. Padma</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm</atitle><jtitle>International journal of computer integrated manufacturing</jtitle><date>2021-02-01</date><risdate>2021</risdate><volume>34</volume><issue>2</issue><spage>153</spage><epage>174</epage><pages>153-174</pages><issn>0951-192X</issn><eissn>1362-3052</eissn><abstract>This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM) that shares with and serves for several machines. Jobs and tools between machines are transferred by AGVs and TT, respectively. This simultaneous scheduling problem is highly complex in nature as it involves job-operations sequencing on machines, assigning AGVs and tools to job-operations and associated trip operations including the times of empty trip and loaded trip of both AGVs and TT. This paper presents nonlinear-mixed integer programming (MIP) formulation to model and symbiotic organisms search (SOS) algorithm based on the symbiotic interaction strategies that organisms use to survive in the ecosystem to solve this simultaneous scheduling problem. The results have been tabulated and analyzed. An industrial problem in a manufacturing company is used for verification and the result obtained by SOS algorithm is compared with other algorithm.</abstract><pub>Taylor &amp; Francis</pub><doi>10.1080/0951192X.2020.1858503</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-0742-2217</orcidid><orcidid>https://orcid.org/0000-0003-2369-1257</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0951-192X
ispartof International journal of computer integrated manufacturing, 2021-02, Vol.34 (2), p.153-174
issn 0951-192X
1362-3052
language eng
recordid cdi_crossref_primary_10_1080_0951192X_2020_1858503
source Business Source Complete
subjects AGVs
FMS
makespan
metaheuristic
optimization technique
scheduling
symbiotic organisms search algorithm
tool transporter
title Practical simultaneous scheduling of machines, AGVs, tool transporter and tools in a multi machine FMS using symbiotic organisms search algorithm
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T14%3A30%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Practical%20simultaneous%20scheduling%20of%20machines,%20AGVs,%20tool%20transporter%20and%20tools%20in%20a%20multi%20machine%20FMS%20using%20symbiotic%20organisms%20search%20algorithm&rft.jtitle=International%20journal%20of%20computer%20integrated%20manufacturing&rft.au=Reddy,%20N.%20Sivarami&rft.date=2021-02-01&rft.volume=34&rft.issue=2&rft.spage=153&rft.epage=174&rft.pages=153-174&rft.issn=0951-192X&rft.eissn=1362-3052&rft_id=info:doi/10.1080/0951192X.2020.1858503&rft_dat=%3Ccrossref_infor%3E10_1080_0951192X_2020_1858503%3C/crossref_infor%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true