{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T07:52:46Z","timestamp":1767772366800,"version":"3.41.2"},"reference-count":33,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2016,7,4]],"date-time":"2016-07-04T00:00:00Z","timestamp":1467590400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7,4]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 When making sourcing decisions, both cost optimization and customer demand fulfillment are equally important for firm competitiveness. The purpose of this paper is to develop a stochastic search technique, hybrid genetic algorithm (HGA), for cost-optimized decision making in wholesaler inventory management in a supply chain network of wholesalers, retailers and suppliers. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 This study develops a HGA by using a mixture of greedy-based and randomly generated solutions in the initial population and a local search method (hill climbing) applied to individuals selected for performing crossover before crossover is implemented and to the best individual in the population at the end of HGA as well as gene slice and integration. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The application of the proposed HGA is illustrated by considering multiple scenarios and comparing with the other commonly adopted methods of standard genetic algorithm, simulated annealing and tabu search. The simulation results demonstrate the capability of the proposed approach in producing more effective solutions. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 The pragmatic importance of this method is for the inventory management of wholesaler operations and this can be scalable to address real contexts with multiple wholesalers and multiple suppliers with variable lead times. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The proposed stochastic-based search techniques have the capability in producing good-quality optimal or suboptimal solutions for large-scale problems within a reasonable time using ordinary computing resources available in firms.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/bpmj-08-2015-0122","type":"journal-article","created":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T09:50:09Z","timestamp":1469613009000},"page":"860-878","source":"Crossref","is-referenced-by-count":2,"title":["A hybrid approach for cost-optimized lateral transshipment in a supply chain environment"],"prefix":"10.1108","volume":"22","author":[{"given":"Dilupa","family":"Nakandala","sequence":"first","affiliation":[]},{"given":"Henry","family":"Lau","sequence":"additional","affiliation":[]},{"given":"Andrew","family":"Ning","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020121419573894600_b1","doi-asserted-by":"crossref","unstructured":"Altiparmak, F.\n               , \n                  Gen, M.\n               , \n                  Lin, L.\n                and \n                  Paksoy, T.\n                (2006), \u201cA genetic algorithm approach for multi-objective optimization of supply chain networks\u201d, \n                  Computers & Industrial Engineering\n               , Vol. 51 No. 1, pp. 196-215.","DOI":"10.1016\/j.cie.2006.07.011"},{"key":"key2020121419573894600_b2","doi-asserted-by":"crossref","unstructured":"Axs\u00e4ter, S.\n                (2003), \u201cA new decision rule for lateral transshipments in inventory systems\u201d, \n                  Management Science\n               , Vol. 49 No. 9, pp. 1168-1179.","DOI":"10.1287\/mnsc.49.9.1168.16568"},{"key":"key2020121419573894600_b3","doi-asserted-by":"crossref","unstructured":"Boutilier, C.\n               , \n                  Dearden, R.\n                and \n                  Goldszmidt, M.\n                (2000), \u201cStochastic dynamic programming with factored representations\u201d, \n                  Artificial Intelligence\n               , Vol. 121 No. 1, pp. 49-60.","DOI":"10.1016\/S0004-3702(00)00033-3"},{"key":"key2020121419573894600_b4","doi-asserted-by":"crossref","unstructured":"Bredstrom, D.\n               , \n                  Carlsson, D.\n                and \n                  Ronnqvist, M.\n                (2005), \u201cA hybrid algorithm for distribution problems\u201d, \n                  Intelligent Systems, IEEE\n               , Vol. 20 No. 4, pp. 19-25.","DOI":"10.1109\/MIS.2005.59"},{"key":"key2020121419573894600_b5","unstructured":"Carter, M.W.\n                and \n                  Price, C.C.\n                (2001), \n                  Operations Research: A Practical Introduction\n               , CRC Press, Boca Raton, FL."},{"key":"key2020121419573894600_b7","doi-asserted-by":"crossref","unstructured":"Che, Z.H.\n                and \n                  Wang, H.S.\n                (2008), \u201cSupplier selection and supply quantity allocation of common and non-ommon parts with multiple criteria under multiple products\u201d, \n                  Computers & Industrial Engineering\n               , Vol. 55 No. 1, pp. 110-133.","DOI":"10.1016\/j.cie.2007.12.005"},{"key":"key2020121419573894600_b8","doi-asserted-by":"crossref","unstructured":"Costantino, F.\n               , \n                  Gravio, D.\n               , \n                  Shaban, A.\n                and \n                  Tronci, M.\n                (2014), \u201cReplenishment policy based on information sharing to mitigate the severity of supply chain disruption\u201d, \n                  International Journal of Logistics Systems and Management\n               , Vol. 18 No. 1, pp. 1742-7975.","DOI":"10.1504\/IJLSM.2014.062119"},{"key":"key2020121419573894600_b9","doi-asserted-by":"crossref","unstructured":"Davis, A.\n                (2013), \n                  Demand-Driven Inventory Optimization and Replenishment Creating a More Efficient Supply Chain\n               , 1st ed., Wiley, North Carolina.","DOI":"10.1002\/9781118747841"},{"key":"key2020121419573894600_b12","doi-asserted-by":"crossref","unstructured":"Fang, X.\n                and \n                  Cho, S.\n                (2014), \u201cStability and endogenous formation of inventory transshipment networks\u201d, \n                  Operations Research\n               , Vol. 62 No. 6, pp. 1316-1334.","DOI":"10.1287\/opre.2014.1324"},{"key":"key2020121419573894600_b10","doi-asserted-by":"crossref","unstructured":"Ghodsypour, S.H.\n                and \n                  O\u2019Brien, C.\n                (2001), \u201cThe total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint\u201d, \n                  International Journal of Production Economics\n               , Vol. 73 No. 1, pp. 15-27.","DOI":"10.1016\/S0925-5273(01)00093-7"},{"key":"key2020121419573894600_b11","doi-asserted-by":"crossref","unstructured":"Glover, F.\n                (1989), \u201cTabu search \u2013 part I.\u201d, \n                  ORSA Journal on Computing\n               , Vol. 1 No. 3, pp. 190-206.","DOI":"10.1287\/ijoc.1.3.190"},{"key":"key2020121419573894600_b13","doi-asserted-by":"crossref","unstructured":"Glover, F.\n                (1990), \u201cTabu search \u2013 part II.\u201d, \n                  ORSA Journal on Computing\n               , Vol. 2 No. 1, pp. 4-32.","DOI":"10.1287\/ijoc.2.1.4"},{"key":"key2020121419573894600_b14","doi-asserted-by":"crossref","unstructured":"Herer, Y.T.\n               , \n                  Tzur, M.\n                and \n                  Y\u00fccesan, E.\n                (2006), \u201cThe multilocation transshipment problem\u201d, \n                  IIE Transactions\n               , Vol. 38 No. 3, pp. 185-200. doi: 10.1080\/07408170500434539.","DOI":"10.1080\/07408170500434539"},{"key":"key2020121419573894600_b15","unstructured":"Holland, J.H.\n                (1975), \n                  Adaption in Natural and Artificial Systems\n               , University of Michigan, MI."},{"key":"key2020121419573894600_b16","doi-asserted-by":"crossref","unstructured":"Kaliamoorthi, P.\n                and \n                  Kakarala, R.\n                (2013), \u201cParametric annealing: a stochastic search method for human pose tracking\u201d, \n                  Pattern Recognition\n               , Vol. 46 No. 5, pp. 1501-1511.","DOI":"10.1016\/j.patcog.2012.11.005"},{"key":"key2020121419573894600_b17","doi-asserted-by":"crossref","unstructured":"Lamothe, J.\n               , \n                  Hadj-Hamou, K.\n                and \n                  Aldanondo, M.\n                (2006), \u201cAn optimization model for selecting a product family and designing its supply chain\u201d, \n                  European Journal of Operational Research\n               , Vol. 169 No. 3, pp. 1030-1047.","DOI":"10.1016\/j.ejor.2005.02.007"},{"key":"key2020121419573894600_b18","doi-asserted-by":"crossref","unstructured":"Lau, H.C.W.\n                and \n                  Nakandala, D.\n                (2012), \u201cA pragmatic stochastic decision model for supporting goods trans-shipments in a supply chain environment\u201d, \n                  Decision Support Systems\n               , Vol. 54 No. 1, pp. 133-141.","DOI":"10.1016\/j.dss.2012.04.012"},{"key":"key2020121419573894600_b19","doi-asserted-by":"crossref","unstructured":"Lee, Y.H.\n               , \n                  Jung, J.W.\n                and \n                  Jeon, Y.S.\n                (2007), \u201cAn effective lateral trans-shipment policy to improve service level in the supply chain\u201d, \n                  International Journal of Production Economics\n               , Vol. 106 No. 1, pp. 115-126.","DOI":"10.1016\/j.ijpe.2006.05.007"},{"key":"key2020121419573894600_b20","doi-asserted-by":"crossref","unstructured":"Michalewicz, Z.\n                (1996), \n                  Genetic Algorithms + Data Structures=Evolution Programs\n               , Springer-Verlag, Berlin.","DOI":"10.1007\/978-3-662-03315-9"},{"key":"key2020121419573894600_b22","unstructured":"Sait, S.M.\n                and \n                  Youssef, H.\n                (1999), \n                  Iterative Computer Algorithms with Applications in Engineering: Solving Combinatorial Optimization Problems\n               , IEEE Computer Society, Los Alamitos, CA."},{"key":"key2020121419573894600_b23","doi-asserted-by":"crossref","unstructured":"Salmer\u00f3n, J.\n                and \n                  Aruna, A.\n                (2010), \u201cSochastic optimization for natural disaster asset prepositioning\u201d, \n                  Production and Operations Management\n               , Vol. 19 No. 5, pp. 561-574.","DOI":"10.1111\/j.1937-5956.2009.01119.x"},{"key":"key2020121419573894600_b24","doi-asserted-by":"crossref","unstructured":"Skok, M.\n               , \n                  Skrlec, D.\n                and \n                  Krajcar, S.\n                (2000), \u201cThe genetic algorithm method for multiple depot capacitated vehicle routing problem solving\u201d, Proceedings of Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Brighton, pp. 520-526.","DOI":"10.1109\/KES.2000.884102"},{"key":"key2020121419573894600_b25","unstructured":"Sonawane, A.\n                and \n                  Ragha, L.\n                (2014), \u201cHybrid genetic algorithm and TABU search algorithm to solve class time table scheduling problem\u201d, \n                  International Journal of Research Studies in Computer Science and Engineering\n               , Vol. 1 No. 4, pp. 19-26."},{"key":"key2020121419573894600_b26","doi-asserted-by":"crossref","unstructured":"Soylu, B.\n                (2015), \u201cHeuristic approaches for biobjective mixed 0-1 integer linear programming problems\u201d, \n                  European Journal of Operational Research\n               , Vol. 245 No. 3, pp. 690-714.","DOI":"10.1016\/j.ejor.2015.04.010"},{"key":"key2020121419573894600_b27","doi-asserted-by":"crossref","unstructured":"Thamilselvan, R.\n                and \n                  Balasubramanie, P.\n                (2012), \u201cIntegrating genetic algorithm, tabu search and simulated annealing for job shop scheduling\u201d, \n                  International Journal of Computer Applications\n               , Vol. 48 No. 5, pp. 42-54.","DOI":"10.5120\/7348-0283"},{"key":"key2020121419573894600_b28","doi-asserted-by":"crossref","unstructured":"Toptal, A.\n               , \n                  \u00d6zl\u00fc, H.\n                and \n                  Konur, D.\n                (2014), \u201cJoint decisions on inventory replenishment and emission reduction investment under different emission regulations\u201d, \n                  International Journal of Production Research\n               , Vol. 52 No. 1, pp. 243-269.","DOI":"10.1080\/00207543.2013.836615"},{"key":"key2020121419573894600_b29","doi-asserted-by":"crossref","unstructured":"Torabi, S.A.\n               , \n                  Fatemi Ghomi, S.M.T.\n                and \n                  Karimi, B.\n                (2006), \u201cA hybrid genetic algorithm for the finite horizon economic lot and delivery scheduling in supply chains\u201d, \n                  European Journal of Operational Research\n               , Vol. 173 No. 1, pp. 173-189.","DOI":"10.1016\/j.ejor.2004.11.012"},{"key":"key2020121419573894600_b30","doi-asserted-by":"crossref","unstructured":"Zhao, F.\n               , \n                  Wu, D.\n               , \n                  Liang, L.\n                and \n                  Dolgui, A.\n                (2016), \u201cLateral inventory transshipment problem in online-to-offline supply chain\u201d, \n                  International Journal of Production Research\n               , Vol. 54 No. 7, pp. 1-13.","DOI":"10.1080\/00207543.2015.1070971"},{"key":"key2020121419573894600_b31","doi-asserted-by":"crossref","unstructured":"Zhou, G.\n               , \n                  Min, H.\n                and \n                  Gen, M.\n                (2002), \u201cThe balanced allocation of customers to multiple distribution centers in the supply chain network: a genetic algorithm approach\u201d, \n                  Computers & Industrial Engineering\n               , Vol. 43 Nos 1-2, pp. 251-261.","DOI":"10.1016\/S0360-8352(02)00067-0"},{"key":"key2020121419573894600_b32","doi-asserted-by":"crossref","unstructured":"Zhu, S.\n                (2012), \u201cJoint pricing and inventory replenishment decisions with returns and expediting\u201d, \n                  European Journal of Operational Research\n               , Vol. 216 No. 1, pp. 105-112.","DOI":"10.1016\/j.ejor.2011.07.024"},{"key":"key2020121419573894600_b33","doi-asserted-by":"crossref","unstructured":"Zomaya, A.Y.\n                (2001), \u201cNatural and simulated annealing\u201d, \n                  Computing in Science & Engineering\n               , Vol. 3 No. 6, pp. 97-99.","DOI":"10.1109\/MCISE.2001.963434"},{"key":"key2020121419573894600_frd1","doi-asserted-by":"crossref","unstructured":"Chan, F.T.S.\n               , \n                  Chung, S.H.\n                and \n                  Wadhwa, S.\n                (2005), \u201cA hybrid genetic algorithm for production and distribution\u201d, \n                  Omega\n               , Vol. 33 No. 4, pp. 345-355.","DOI":"10.1016\/j.omega.2004.05.004"},{"key":"key2020121419573894600_frd2","doi-asserted-by":"crossref","unstructured":"Rosenshine, M.\n                and \n                  Obee, D.\n                (1976), \u201cAnalysis of a standing order inventory system with emergency orders\u201d, \n                  Operations Research\n               , Vol. 24 No. 6, pp. 1143-1155.","DOI":"10.1287\/opre.24.6.1143"}],"container-title":["Business Process Management Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/BPMJ-08-2015-0122","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/BPMJ-08-2015-0122\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/BPMJ-08-2015-0122\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:15:46Z","timestamp":1753398946000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/bpmj\/article\/22\/4\/860-878\/257600"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,4]]},"references-count":33,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,7,4]]}},"alternative-id":["10.1108\/BPMJ-08-2015-0122"],"URL":"https:\/\/doi.org\/10.1108\/bpmj-08-2015-0122","relation":{},"ISSN":["1463-7154"],"issn-type":[{"type":"print","value":"1463-7154"}],"subject":[],"published":{"date-parts":[[2016,7,4]]}}}