Integrated optimisation on flow-shop production with cutting stock
This paper addresses the integrated scheduling optimisation on flow-shop production with one-dimensional cutting stock in make-to-order environments. The upstream cutting-stock process provides the items for the downstream production, while the flow-shop production can be executed only when the requ...
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| Veröffentlicht in: | International journal of production research 2019-10, Vol.57 (19), p.5996-6012 |
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| container_title | International journal of production research |
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| creator | Wang, Weihao Shi, Zhongshun Shi, Leyuan Zhao, Qingbin |
| description | This paper addresses the integrated scheduling optimisation on flow-shop production with one-dimensional cutting stock in make-to-order environments. The upstream cutting-stock process provides the items for the downstream production, while the flow-shop production can be executed only when the required items are released. The efficient schedules on cutting plan and the production sequence should be determined in a coordinated manner to improve the overall efficiency. This study aims to find an integrated schedule to minimise the makespan of the entire manufacturing process. We develop a hybrid algorithm by integrating a local search method and some efficient strategies under the nested partitions framework. Numerical experiments show that the proposed approach is capable of achieving high-quality solutions within a reasonable time. |
| doi_str_mv | 10.1080/00207543.2018.1556823 |
| format | Article |
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The upstream cutting-stock process provides the items for the downstream production, while the flow-shop production can be executed only when the required items are released. The efficient schedules on cutting plan and the production sequence should be determined in a coordinated manner to improve the overall efficiency. This study aims to find an integrated schedule to minimise the makespan of the entire manufacturing process. We develop a hybrid algorithm by integrating a local search method and some efficient strategies under the nested partitions framework. 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Numerical experiments show that the proposed approach is capable of achieving high-quality solutions within a reasonable time.</description><subject>Algorithms</subject><subject>Cutting</subject><subject>cutting stock</subject><subject>flow shop</subject><subject>integrated scheduling</subject><subject>Job shops</subject><subject>make-to-order</subject><subject>nested partitions</subject><subject>Optimization</subject><subject>Production scheduling</subject><subject>Schedules</subject><subject>Sequential scheduling</subject><issn>0020-7543</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMoWKc_QSh43ZnPNr1Thx-DgTcK3oUkbbfMrqlJyti_N7UT7zwcOHB43vMeXgCuEZwjyOEthBgWjJI5hojPEWM5x-QEJIjkecY4_zgFychkI3QOLrzfwliM0wQ8LLtQr50MdZXaPpid8TIY26Wxm9buM7-xfdo7Ww36Z783YZPqIQTTrVMfrP68BGeNbH19dZwz8P70-LZ4yVavz8vF_SrTpGQhqzkrpYRU54iwimiuleJVTjEuUCM1p0TmGFdKQayUwgQVEFHIVUNlSVSlyAzcTHfjN19D7YPY2sF10VJgXMKixBSTSLGJ0s567-pG9M7spDsIBMUYl_iNS4xxiWNcUZdOulrbzvg_VV4SDgkriojcTYjpGut2cm9dW4kgD611jZOdjjLyv8s32AJ79A</recordid><startdate>20191002</startdate><enddate>20191002</enddate><creator>Wang, Weihao</creator><creator>Shi, Zhongshun</creator><creator>Shi, Leyuan</creator><creator>Zhao, Qingbin</creator><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20191002</creationdate><title>Integrated optimisation on flow-shop production with cutting stock</title><author>Wang, Weihao ; Shi, Zhongshun ; Shi, Leyuan ; Zhao, Qingbin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-e859aa04c6135d3c8cbb8d642271fac843a622dbb02bbb231701408bf4a93bdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Cutting</topic><topic>cutting stock</topic><topic>flow shop</topic><topic>integrated scheduling</topic><topic>Job shops</topic><topic>make-to-order</topic><topic>nested partitions</topic><topic>Optimization</topic><topic>Production scheduling</topic><topic>Schedules</topic><topic>Sequential scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Weihao</creatorcontrib><creatorcontrib>Shi, Zhongshun</creatorcontrib><creatorcontrib>Shi, Leyuan</creatorcontrib><creatorcontrib>Zhao, Qingbin</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Weihao</au><au>Shi, Zhongshun</au><au>Shi, Leyuan</au><au>Zhao, Qingbin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated optimisation on flow-shop production with cutting stock</atitle><jtitle>International journal of production research</jtitle><date>2019-10-02</date><risdate>2019</risdate><volume>57</volume><issue>19</issue><spage>5996</spage><epage>6012</epage><pages>5996-6012</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><abstract>This paper addresses the integrated scheduling optimisation on flow-shop production with one-dimensional cutting stock in make-to-order environments. 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| ispartof | International journal of production research, 2019-10, Vol.57 (19), p.5996-6012 |
| issn | 0020-7543 1366-588X |
| language | eng |
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| source | EBSCOhost Business Source Complete; Taylor & Francis:Master (3349 titles) |
| subjects | Algorithms Cutting cutting stock flow shop integrated scheduling Job shops make-to-order nested partitions Optimization Production scheduling Schedules Sequential scheduling |
| title | Integrated optimisation on flow-shop production with cutting stock |
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