The capacitated transshipment location problem with stochastic handling utilities at the facilities
The problem consists in finding a transshipment facilities location that maximizes the total net utility when the handling utilities at the facilities are stochastic variables, under supply, demand, and lower and upper capacity constraints. The total net utility is given by the expected total shippi...
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| Veröffentlicht in: | International transactions in operational research 2012-11, Vol.19 (6), p.789-807 |
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| container_title | International transactions in operational research |
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| creator | Tadei, Roberto Perboli, Guido Ricciardi, Nicoletta Baldi, Mauro Maria |
| description | The problem consists in finding a transshipment facilities location that maximizes the total net utility when the handling utilities at the facilities are stochastic variables, under supply, demand, and lower and upper capacity constraints. The total net utility is given by the expected total shipping utility minus the total fixed cost of the located facilities. Shipping utilities are given by a deterministic utility for shipping freight from origins to destinations via transshipment facilities plus a stochastic handling utility at the facilities, whose probability distribution is unknown. After giving the stochastic model, by means of some results of the extreme values theory, the probability distribution of the maximum stochastic utilities is derived and the expected value of the optimum of the stochastic model is found. An efficient heuristics for solving real‐life instances is also given. Computational results show a very good performance of the proposed methods both in terms of accuracy and efficiency. |
| doi_str_mv | 10.1111/j.1475-3995.2012.00847.x |
| format | Article |
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The total net utility is given by the expected total shipping utility minus the total fixed cost of the located facilities. Shipping utilities are given by a deterministic utility for shipping freight from origins to destinations via transshipment facilities plus a stochastic handling utility at the facilities, whose probability distribution is unknown. After giving the stochastic model, by means of some results of the extreme values theory, the probability distribution of the maximum stochastic utilities is derived and the expected value of the optimum of the stochastic model is found. An efficient heuristics for solving real‐life instances is also given. 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Computational results show a very good performance of the proposed methods both in terms of accuracy and efficiency.</description><subject>asymptotic approximation</subject><subject>facilities location</subject><subject>heuristics</subject><subject>Location analysis</subject><subject>Operations research</subject><subject>Probability distribution</subject><subject>Shipping</subject><subject>Stochastic models</subject><subject>stochastic utilities</subject><subject>Studies</subject><issn>0969-6016</issn><issn>1475-3995</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNqNkE1PwyAAhonRxDn9DySeW_lY-Th4MNN9mGVLzIxHwii1zK6dhWXbv5dZs7NcIPA-L_AAADFKcRwP6xQPeJZQKbOUIExShMSAp4cL0DsfXIIekkwmDGF2DW68XyOEcIZ5D5hlaaHRW21c0MHmMLS69r50242tA6wao4Nrarhtm1VlN3DvQgl9aEypfXAGlrrOK1d_wl1wlQvOeqgDDLG0iJXdzi24KnTl7d3f3Afvo5flcJLMFuPp8GmWmAFDPFkJWeBMipxTGz-RM2QJM0bmmeC8yLnghV1hQkRBDOGUsFUmLMUsl0ZKiQjtg_uuNz72e2d9UOtm19bxSoWRpAPOKBIxJbqUaRvvW1uobes2uj3GkDopVWt1MqdO5tRJqfpVqg4RfezQvavs8d-cmi4Xb3EV-aTjnQ_2cOZ1-6UYpxH9mI_V6_NoshwLpub0B0-LjR4</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Tadei, Roberto</creator><creator>Perboli, Guido</creator><creator>Ricciardi, Nicoletta</creator><creator>Baldi, Mauro Maria</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201211</creationdate><title>The capacitated transshipment location problem with stochastic handling utilities at the facilities</title><author>Tadei, Roberto ; Perboli, Guido ; Ricciardi, Nicoletta ; Baldi, Mauro Maria</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4607-b89f1598d73e008d60e26cc9d5877fd787feb1228f2c27326b58e316d9c999023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>asymptotic approximation</topic><topic>facilities location</topic><topic>heuristics</topic><topic>Location analysis</topic><topic>Operations research</topic><topic>Probability distribution</topic><topic>Shipping</topic><topic>Stochastic models</topic><topic>stochastic utilities</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tadei, Roberto</creatorcontrib><creatorcontrib>Perboli, Guido</creatorcontrib><creatorcontrib>Ricciardi, Nicoletta</creatorcontrib><creatorcontrib>Baldi, Mauro Maria</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</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 transactions in operational research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tadei, Roberto</au><au>Perboli, Guido</au><au>Ricciardi, Nicoletta</au><au>Baldi, Mauro Maria</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The capacitated transshipment location problem with stochastic handling utilities at the facilities</atitle><jtitle>International transactions in operational research</jtitle><addtitle>Intl. Trans. in Op. Res</addtitle><date>2012-11</date><risdate>2012</risdate><volume>19</volume><issue>6</issue><spage>789</spage><epage>807</epage><pages>789-807</pages><issn>0969-6016</issn><eissn>1475-3995</eissn><abstract>The problem consists in finding a transshipment facilities location that maximizes the total net utility when the handling utilities at the facilities are stochastic variables, under supply, demand, and lower and upper capacity constraints. The total net utility is given by the expected total shipping utility minus the total fixed cost of the located facilities. Shipping utilities are given by a deterministic utility for shipping freight from origins to destinations via transshipment facilities plus a stochastic handling utility at the facilities, whose probability distribution is unknown. After giving the stochastic model, by means of some results of the extreme values theory, the probability distribution of the maximum stochastic utilities is derived and the expected value of the optimum of the stochastic model is found. An efficient heuristics for solving real‐life instances is also given. Computational results show a very good performance of the proposed methods both in terms of accuracy and efficiency.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/j.1475-3995.2012.00847.x</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | Wiley; EBSCO Business Source Complete |
| subjects | asymptotic approximation facilities location heuristics Location analysis Operations research Probability distribution Shipping Stochastic models stochastic utilities Studies |
| title | The capacitated transshipment location problem with stochastic handling utilities at the facilities |
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