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General Paper

Joint-replenishment problem under stochastic demands with backorders-lost sales mixtures, controllable lead times, and investment to reduce the major ordering cost

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Pages 1108-1120 | Published online: 21 Dec 2017

References

  • AmayaCACarvajalJCastañoFA heuristic framework based on linear programming to solve the constrained joint replenishment problem (C-JRP)International Journal of Production Economics2013144124324710.1016/j.ijpe.2013.02.008
  • AnnaduraiKUthayakumarRReducing lost-sales rate in (T,R,L) inventory model with controllable lead timeApplied Mathematical Modelling201034113465347710.1016/j.apm.2010.02.035
  • ArkinEJonejaDRoundyRComputational complexity of uncapacitated multi-echelon production planning problemsOperations Research Letters198982616610.1016/0167-6377(89)90001-1
  • ChaudhrySSLuoWApplication of genetic algorithms in production and operations management: A reviewInternational Journal of Production Research200543194083410110.1080/00207540500143199
  • ChuangB-ROuyangL–YChuangK-WA note on periodic review inventory model with controllable setup cost and lead timeComputers & Operations Research200431454956110.1016/S0305-0548(03)00013-3
  • EynanAKroppDHEffective and simple EOQ-like solutions for stochastic demand periodic review systemsEuropean Journal of Operational Research200718031135114310.1016/j.ejor.2006.05.015
  • GlockCHLead time reduction strategies in a single-vendor-single-buyer integrated inventory model with lot-size dependent lead times and stochastic demandInternational Journal of Production Economics20121361374410.1016/j.ijpe.2011.09.007
  • HarigaMASetup cost reduction in (Q,r) policy with lot size, setup time and lead-time interactionsJournal of the Operational Research Society200051111340134510.1057/palgrave.jors.2601017
  • KaspiMRosenblattMJAn improvement of Silver’s algorithm for the joint replenishment problemIIE Transactions198315326426910.1080/05695558308974644
  • KhimasiaMMCoveneyPVProtein structure prediction as a hard optimization problem: The genetic algorithm approachMolecular Simulation199719420522610.1080/08927029708024151
  • KhoujaMGoyalSA review of the joint replenishment problem literature: 1989–2005European Journal of Operational Research2008186111610.1016/j.ejor.2007.03.007
  • KiesmüllerGPMulti-item inventory control with full truckloads: A comparison of aggregate and individual order triggeringEuropean Journal of Operational Research20102001546210.1016/j.ejor.2008.12.008
  • LinY-JAn integrated vendor-buyer inventory model with backorder price discount and effective investment to reduce ordering costComputers & Industrial Engineering20095641597160610.1016/j.cie.2008.10.009
  • NarayananARobinsonPEfficient and effective heuristics for the coordinated capacitated lot-size problemEuropean Journal of Operational Research2010203358359210.1016/j.ejor.2009.08.015
  • NarayananARobinsonPEvaluation of joint replenishment lot-sizing procedures in rolling horizon planning systemsInternational Journal of Production Economics20101271859410.1016/j.ijpe.2010.04.038
  • NickallsRWDA new approach to solving the cubic: Cardan’s solution revealedThe Mathematical Gazette19937748035435910.2307/3619777
  • NilssonASilverEAA simple improvement on Silver’s heuristic for the joint replenishment problemJournal of the Operational Research Society200859101415142110.1057/palgrave.jors.2602446
  • OuyangL-YChenC-KChangH-CQuality improvement, setup cost and lead-time reductions in lot size reorder point models with an imperfect production processComputers & Operations Research200229121701171710.1016/S0305-0548(01)00051-X
  • PaulSWahabMIMOngkunarukPJoint replenishment with imperfect items and price discountsComputers & Industrial Engineering201474117918510.1016/j.cie.2014.05.015
  • SilverEAAn overview of heuristic solution methodsJournal of the Operational Research Society200455993695610.1057/palgrave.jors.2601758
  • SivanandamSNDeepaSNIntroduction to Genetic Algorithms2008
  • TanrikuluMMŞenAAlpOA joint replenishment policy with individual control and constant size ordersInternational Journal of Production Research201048144253427110.1080/00207540802662904
  • TsaoY-CSheenG-JA multi-item supply chain with credit periods and weight freight cost discountsInternational Journal of Production Economics2012135110611510.1016/j.ijpe.2010.11.013
  • TsaoY-CTengW-GHeuristics for the joint multi-item replenishment problem under trade creditsIMA Journal of Management Mathematics2013241637710.1093/imaman/dps004
  • WangLHeJZengY-RA differential evolution algorithm for joint replenishment problem using direct grouping and its applicationExpert Systems201229542944110.1111/j.1468-0394.2011.00594.x
  • WangLHeJWuDZengY-RA novel differential evolution algorithm for joint replenishment problem under interdependence and its applicationInternational Journal of Production Economics2012135119019810.1016/j.ijpe.2011.06.015
  • WangLFuQ-LLeeC–GZengY-RModel and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goalKnowledge-based Systems201339576610.1016/j.knosys.2012.10.002
  • WangDTangODynamic inventory rationing with mixed backorders and lost salesInternational Journal of Production Economics2014149566710.1016/j.ijpe.2013.10.004
  • ZhangRKakuIXiaoYModel and heuristic algorithm of the joint replenishment problem with complete backordering and correlated demandInternational Journal of Production Economics20121391334110.1016/j.ijpe.2011.01.019

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