A solution to the capacitated lot sizing problem
We study a capacitated dynamic lot sizing problem with special cost structure involving fixed setup cost, freight cost, production cost and inventory holding cost. The freight cost is proportional to the number of containers used. We investigate the problem in which the maximal production capacity i...
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creator | Zhicong Zhang Weiping Wang Shouyan Zhong Kaishun Hu |
description | We study a capacitated dynamic lot sizing problem with special cost structure involving fixed setup cost, freight cost, production cost and inventory holding cost. The freight cost is proportional to the number of containers used. We investigate the problem in which the maximal production capacity in one period is integral multiple of the capacity of a container and reveal the special structure of the optimal solution. We transfer the lot sizing problem into a shortest path problem and propose a network algorithm to deal with it. The T-period problem is solved in O(T 4 ) effort by the network algorithm. |
doi_str_mv | 10.1109/IEEM.2011.6117978 |
format | Conference Proceeding |
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The freight cost is proportional to the number of containers used. We investigate the problem in which the maximal production capacity in one period is integral multiple of the capacity of a container and reveal the special structure of the optimal solution. We transfer the lot sizing problem into a shortest path problem and propose a network algorithm to deal with it. The T-period problem is solved in O(T 4 ) effort by the network algorithm.</description><identifier>ISSN: 2157-3611</identifier><identifier>ISBN: 1457707403</identifier><identifier>ISBN: 9781457707407</identifier><identifier>EISSN: 2157-362X</identifier><identifier>EISBN: 9781457707384</identifier><identifier>EISBN: 1457707381</identifier><identifier>EISBN: 145770739X</identifier><identifier>EISBN: 9781457707391</identifier><identifier>DOI: 10.1109/IEEM.2011.6117978</identifier><language>eng</language><publisher>IEEE</publisher><subject>capacity constraint ; Containers ; Europe ; Heuristic algorithms ; Lot sizing ; Mathematical programming ; network algorithm ; Shortest path problem</subject><ispartof>2011 IEEE International Conference on Industrial Engineering and Engineering Management, 2011, p.555-559</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6117978$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6117978$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhicong Zhang</creatorcontrib><creatorcontrib>Weiping Wang</creatorcontrib><creatorcontrib>Shouyan Zhong</creatorcontrib><creatorcontrib>Kaishun Hu</creatorcontrib><title>A solution to the capacitated lot sizing problem</title><title>2011 IEEE International Conference on Industrial Engineering and Engineering Management</title><addtitle>IEEM</addtitle><description>We study a capacitated dynamic lot sizing problem with special cost structure involving fixed setup cost, freight cost, production cost and inventory holding cost. The freight cost is proportional to the number of containers used. We investigate the problem in which the maximal production capacity in one period is integral multiple of the capacity of a container and reveal the special structure of the optimal solution. We transfer the lot sizing problem into a shortest path problem and propose a network algorithm to deal with it. The T-period problem is solved in O(T 4 ) effort by the network algorithm.</description><subject>capacity constraint</subject><subject>Containers</subject><subject>Europe</subject><subject>Heuristic algorithms</subject><subject>Lot sizing</subject><subject>Mathematical programming</subject><subject>network algorithm</subject><subject>Shortest path problem</subject><issn>2157-3611</issn><issn>2157-362X</issn><isbn>1457707403</isbn><isbn>9781457707407</isbn><isbn>9781457707384</isbn><isbn>1457707381</isbn><isbn>145770739X</isbn><isbn>9781457707391</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9j81Kw0AURsc_sNY8gLiZF0i8N_O_LCVqoeJGwV0ZJ3d0JG1CMi706RUMbs63OPDBYewKoUIEd7NpmoeqBsRKIxpn7BErfolSGQNGWHnMFjUqUwpdv5ywi1lIEKf_AvGcFdP0AQBYW107vWCw4lPffebUH3jueX4nHvzgQ8o-U8u7PvMpfafDGx_G_rWj_SU7i76bqJh3yZ5vm6f1fbl9vNusV9syoVG5jNJARKe09ro1ylmhdBssGRQgCGK00beoRQskvCaSHkOUIUgjgkPpxJJd__0mItoNY9r78Ws3x4sfcO1IMQ</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Zhicong Zhang</creator><creator>Weiping Wang</creator><creator>Shouyan Zhong</creator><creator>Kaishun Hu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>A solution to the capacitated lot sizing problem</title><author>Zhicong Zhang ; Weiping Wang ; Shouyan Zhong ; Kaishun Hu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-f470f19566a6d7598356dc8e71303e0ff8fad163d0e3a6ee4a1cf4cc473c91493</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>capacity constraint</topic><topic>Containers</topic><topic>Europe</topic><topic>Heuristic algorithms</topic><topic>Lot sizing</topic><topic>Mathematical programming</topic><topic>network algorithm</topic><topic>Shortest path problem</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhicong Zhang</creatorcontrib><creatorcontrib>Weiping Wang</creatorcontrib><creatorcontrib>Shouyan Zhong</creatorcontrib><creatorcontrib>Kaishun Hu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhicong Zhang</au><au>Weiping Wang</au><au>Shouyan Zhong</au><au>Kaishun Hu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A solution to the capacitated lot sizing problem</atitle><btitle>2011 IEEE International Conference on Industrial Engineering and Engineering Management</btitle><stitle>IEEM</stitle><date>2011-12</date><risdate>2011</risdate><spage>555</spage><epage>559</epage><pages>555-559</pages><issn>2157-3611</issn><eissn>2157-362X</eissn><isbn>1457707403</isbn><isbn>9781457707407</isbn><eisbn>9781457707384</eisbn><eisbn>1457707381</eisbn><eisbn>145770739X</eisbn><eisbn>9781457707391</eisbn><abstract>We study a capacitated dynamic lot sizing problem with special cost structure involving fixed setup cost, freight cost, production cost and inventory holding cost. The freight cost is proportional to the number of containers used. We investigate the problem in which the maximal production capacity in one period is integral multiple of the capacity of a container and reveal the special structure of the optimal solution. We transfer the lot sizing problem into a shortest path problem and propose a network algorithm to deal with it. The T-period problem is solved in O(T 4 ) effort by the network algorithm.</abstract><pub>IEEE</pub><doi>10.1109/IEEM.2011.6117978</doi><tpages>5</tpages></addata></record> |
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subjects | capacity constraint Containers Europe Heuristic algorithms Lot sizing Mathematical programming network algorithm Shortest path problem |
title | A solution to the capacitated lot sizing problem |
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