A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing
This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order a...
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| Veröffentlicht in: | Omega (Oxford) 2017-01, Vol.66, p.327-343 |
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| creator | Guo, Zhaoxia Shi, Leyuan Chen, Longchao Liang, Yong |
| description | This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order assignment problem. A novel improvisation process is also proposed to improve the optimum-seeking performance. The effectiveness of the proposed model is validated by numerical experiments. The experimental results show that (1) the proposed model can solve the investigated problem effectively and that (2) the proposed memetic optimization process exhibits better optimum-seeking performance than genetic algorithm-based and traditional memetic optimization processes.
•We examine an integrated production and transportation scheduling (IPTS) problem.•We use heuristic procedures to convert the IPTS problem into an order assignment problem.•A harmony search-based memetic optimization model is proposed to handle this problem.•A novel improvisation process for harmony search is proposed.•The proposed optimization model has a very good optimum-seeking performance. |
| doi_str_mv | 10.1016/j.omega.2015.10.012 |
| format | Article |
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•We examine an integrated production and transportation scheduling (IPTS) problem.•We use heuristic procedures to convert the IPTS problem into an order assignment problem.•A harmony search-based memetic optimization model is proposed to handle this problem.•A novel improvisation process for harmony search is proposed.•The proposed optimization model has a very good optimum-seeking performance.</description><identifier>ISSN: 0305-0483</identifier><identifier>EISSN: 1873-5274</identifier><identifier>DOI: 10.1016/j.omega.2015.10.012</identifier><identifier>CODEN: OMEGA6</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Assignment problem ; Effectiveness studies ; Harmony search ; Heuristic ; Memetic algorithms ; Nonlinear mixed integer programming ; Optimization ; Production scheduling ; Supply chain management ; Supply chain scheduling ; Transportation ; Validation studies</subject><ispartof>Omega (Oxford), 2017-01, Vol.66, p.327-343</ispartof><rights>2015 Elsevier Ltd</rights><rights>Copyright Pergamon Press Inc. Jan 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-5efbd84d2b28c95fe6ddbfdce71d8eb797134cbbaa3f47cd496f0b31c94c65033</citedby><cites>FETCH-LOGICAL-c331t-5efbd84d2b28c95fe6ddbfdce71d8eb797134cbbaa3f47cd496f0b31c94c65033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.omega.2015.10.012$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Guo, Zhaoxia</creatorcontrib><creatorcontrib>Shi, Leyuan</creatorcontrib><creatorcontrib>Chen, Longchao</creatorcontrib><creatorcontrib>Liang, Yong</creatorcontrib><title>A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing</title><title>Omega (Oxford)</title><description>This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order assignment problem. A novel improvisation process is also proposed to improve the optimum-seeking performance. The effectiveness of the proposed model is validated by numerical experiments. The experimental results show that (1) the proposed model can solve the investigated problem effectively and that (2) the proposed memetic optimization process exhibits better optimum-seeking performance than genetic algorithm-based and traditional memetic optimization processes.
•We examine an integrated production and transportation scheduling (IPTS) problem.•We use heuristic procedures to convert the IPTS problem into an order assignment problem.•A harmony search-based memetic optimization model is proposed to handle this problem.•A novel improvisation process for harmony search is proposed.•The proposed optimization model has a very good optimum-seeking performance.</description><subject>Assignment problem</subject><subject>Effectiveness studies</subject><subject>Harmony search</subject><subject>Heuristic</subject><subject>Memetic algorithms</subject><subject>Nonlinear mixed integer programming</subject><subject>Optimization</subject><subject>Production scheduling</subject><subject>Supply chain management</subject><subject>Supply chain scheduling</subject><subject>Transportation</subject><subject>Validation studies</subject><issn>0305-0483</issn><issn>1873-5274</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPAyEUhYnRxFr9BW5IXE-FgXktXJjGV1LjRteEgUtL04EKjIku_O1Sx7Wrm5x7vvs4CF1SsqCE1tfbhR9gLRcloVVWFoSWR2hG24YVVdnwYzQjjFQF4S07RWcxbgkhtCVshr5v8UaGwbtPHEEGtSl6GUHjAQZIVmG_T3awXzJZ7_DgNeyw8QFbl2AdZMrOffB6VL996TROQbq49yFNSFQb0OPOunVm8PPrCx6kG41UaQxZPEcnRu4iXPzVOXq7v3tdPharl4en5e2qUIzRVFRget1yXfZlq7rKQK11b7SChuoW-qZrKOOq76VkhjdK8642pGdUdVzVFWFsjq6mufna9xFiEls_BpdXCtoy3nFW8jq72ORSwccYwIh9sIMMn4IScQhabMVv0OIQ9EHMQWfqZqIgP_BhIYioLDgF2gZQSWhv_-V_AHTri7c</recordid><startdate>201701</startdate><enddate>201701</enddate><creator>Guo, Zhaoxia</creator><creator>Shi, Leyuan</creator><creator>Chen, Longchao</creator><creator>Liang, Yong</creator><general>Elsevier Ltd</general><general>Pergamon Press Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope></search><sort><creationdate>201701</creationdate><title>A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing</title><author>Guo, Zhaoxia ; Shi, Leyuan ; Chen, Longchao ; Liang, Yong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-5efbd84d2b28c95fe6ddbfdce71d8eb797134cbbaa3f47cd496f0b31c94c65033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Assignment problem</topic><topic>Effectiveness studies</topic><topic>Harmony search</topic><topic>Heuristic</topic><topic>Memetic algorithms</topic><topic>Nonlinear mixed integer programming</topic><topic>Optimization</topic><topic>Production scheduling</topic><topic>Supply chain management</topic><topic>Supply chain scheduling</topic><topic>Transportation</topic><topic>Validation studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Guo, Zhaoxia</creatorcontrib><creatorcontrib>Shi, Leyuan</creatorcontrib><creatorcontrib>Chen, Longchao</creatorcontrib><creatorcontrib>Liang, Yong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><jtitle>Omega (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Guo, Zhaoxia</au><au>Shi, Leyuan</au><au>Chen, Longchao</au><au>Liang, Yong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing</atitle><jtitle>Omega (Oxford)</jtitle><date>2017-01</date><risdate>2017</risdate><volume>66</volume><spage>327</spage><epage>343</epage><pages>327-343</pages><issn>0305-0483</issn><eissn>1873-5274</eissn><coden>OMEGA6</coden><abstract>This paper investigates an integrated production and transportation scheduling problem in an MTO supply chain. A harmony search-based memetic optimization model is developed to handle this problem, in which certain heuristic procedures are proposed to convert the investigated problem into an order assignment problem. A novel improvisation process is also proposed to improve the optimum-seeking performance. The effectiveness of the proposed model is validated by numerical experiments. The experimental results show that (1) the proposed model can solve the investigated problem effectively and that (2) the proposed memetic optimization process exhibits better optimum-seeking performance than genetic algorithm-based and traditional memetic optimization processes.
•We examine an integrated production and transportation scheduling (IPTS) problem.•We use heuristic procedures to convert the IPTS problem into an order assignment problem.•A harmony search-based memetic optimization model is proposed to handle this problem.•A novel improvisation process for harmony search is proposed.•The proposed optimization model has a very good optimum-seeking performance.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.omega.2015.10.012</doi><tpages>17</tpages></addata></record> |
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| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Assignment problem Effectiveness studies Harmony search Heuristic Memetic algorithms Nonlinear mixed integer programming Optimization Production scheduling Supply chain management Supply chain scheduling Transportation Validation studies |
| title | A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing |
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