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Original Article

Simulation-based optimization for a capacitated multi-echelon production-inventory system

, &
Pages 325-336 | Received 30 Jun 2014, Accepted 13 Mar 2015, Published online: 19 Dec 2017

References

  • AbidoMAMultiobjective particle swarm optimization with non-dominated local and global setsNatural Computing20109374776610.1007/s11047-009-9171-7
  • AldarratHSMModeling and Controlling of an Integrated Distribution Supply Chain: Simulation Based Shipment Consolidation Heuristics2007
  • AltiparmakFGenMLinLPaksoyTA genetic algorithm approach for multiobjective optimization of supply chain networksComputer and Industrial Engineering200651119621510.1016/j.cie.2006.07.011
  • Ammeri A, XChabchoub H, Hachicha W and Masmoudi F (2010). A comprehensive literature classification of simulation optimization method. In The 9th International Conference on Multiple Objective Programming and Goal Programming. Springer: Tunisia.
  • AnderssonJMarklundJDecentralized inventory control in a two-level distribution systemEuropean Journal of Operational Research2000127348350610.1016/S0377-2217(99)00332-X
  • AxsäterSExact and approximate evaluation of batch-ordering policies for two-level inventory systemsOperations Research19984147778510.1287/opre.41.4.777
  • Banks J (2000). Introduction to simulation. In Proceedings of the 2000 Winter Simulation Conference. IEEE: Orlando, FL, USA.
  • BiaswasSNarahariYObject oriented modeling and decision support for supply chainEuropean Journal of Operational Research2002153370472610.1016/S0377-2217(02)00806-8
  • BlumCRoliAMetaheuristics in combinatorial optimization: Overview and conceptual comparisonACM Computing Surveys200335326830810.1145/937503.937505
  • CachonGPStock wars: Inventory competition in a two-echelon supply chain with multiple retailersOperations Research200149565864710.1287/opre.49.5.658.10611
  • Carson Y and Maria A (1997). Simulation optimization: Methods and applications. In Proceedings of the 1997 Winter Simulation Conference. IEEE: Atlanta, USA.
  • CrainicTGToulouseMIntroduction to the special issue on parallel meta-heuristicsJournal of Heuristics20028324724910.1023/A:1015084116772
  • DiksEDe KokALagodimosAMulti-echelon systems: A service measure perspectiveEuropean Journal of Operational Research199695224126310.1016/S0377-2217(96)00120-8
  • DiksEBde KokAGOptimal control of a divergent multi-echelon inventory systemEuropean Journal of Operation Research19981111759710.1016/S0377-2217(97)00327-5
  • Eppen G and Schrage L (1981). Centralized ordering policies in a multi-warehouse system with lead times and random demand. In: Schwarz LB (ed) Multi-Level Production/Inventory Control Systems: Theory and Practice. North-Holland: Amsterdam, pp. 51–67.
  • ForsbergRExact evaluation of (R, Q)-policies for two-level inventory systems with poisson demandEuropean Journal of Operational Research199796113013810.1016/S0377-2217(96)00137-3
  • GaneshanRManaging supply chain inventories: A multiple retailer, one warehouse, multiple supplier modelInternational Journal of Production Economics1999591–334135410.1016/S0925-5273(98)00115-7
  • HillRMSeifbarghyMSmithDKA two-echelon inventory model with lost salesEuropean Journal of Operational Research2007181275376610.1016/j.ejor.2006.08.017
  • Hiremath NC, Sahu S and Tiwari MK (2010). Optimization for Efficient Supply Chain Using Swarm Intelligence: an Outsourcing Perspective. Proceedings of the World Congress on Engineering, London.
  • JanicMModelling the full costs of an intermodal and road freight transport networkTransportation Research Part D2007121334410.1016/j.trd.2006.10.004
  • Kennedy J and Eberhart R (1995). Particle swarm optimization. In Proceedings of the IEEE International Conference on Neural Networks. Piscataway, NJ.
  • KeskinBBMeloukSHMeyerILA simulation-optimization approach for integrated sourcing and inventory decisionsComputers & Operations Research20103791648166110.1016/j.cor.2009.12.012
  • MeleFDGuillenGEspunaAPuigjanerLA simulation-based optimization framework for parameter optimization of supply-chain networksIndustrial & Engineering Chemistry Research20064593133314810.1021/ie051121g
  • MendozaAVenturaJAModeling actual transportation costs in supplier selection and order quantity allocation decisionsLogistics Research200913118519610.1007/s12159-009-0018-5
  • MoinzadehKA multi-echelon inventory system with information exchangeManagement Science200248341442610.1287/mnsc.48.3.414.7730
  • NarmadhaSSelladuraiVSathishGEfficient inventory optimization of multi product, multiple suppliers with lead time using PSOInternational Journal of Computer Science and Information Security201071180189
  • Niranjan S (2008). A study of multi-echelon inventory systems with stochastic capacity and intermediate product demand. Electronic Thesis or Dissertation, Wright State University: USA.
  • OlaffsonSMetaheuristicsHandbook on Simulation, Handbooks in Operations Research and Management Science2006633654
  • Ozcan E and Mohan CK (1998). Analysis of a simple particle swarm optimization system. In: Dagli CH (ed). Intelligent Engineering Systems Through Artificial Neural Networks, 8th edn, ASME: Missouri, USA. pp 253–258.
  • PressManRSSoftware Engineering: A Practitioner’s Approach1997
  • Richardson D (2006). An Object Oriented Simulation Framework for Steady-state Analysis of Vapor Compression Refrigeration Systems and Components. Dissertation, USA: University of Maryland.
  • Rosetti M, Miman M, Varghese V and Xiang Y (2006). An object-oriented framework for simulating multi-echelon inventory systems. In Winter Simulation Conference. IEEE: California.
  • Schott JR (1995). Fault tolerant design using single and multicriteria genetic algorithms optimization. Master Thesis, Massachusetts Institute of Technology: Cambridge, USA.
  • Shi Y and Eberhart RC (1998). A modified particle swarm opitomizer. In IEEE International Conference of Evolutionary Computation. Alaska: IEEE.
  • Shi Y and Eberhart RC (1999). Empirical study of particle swarm optimization. In: Angeline PJ et al (eds). Proceedings of the Congress on Evolutionary Computation, IEEE: Washington, DC.
  • Sierra MR and Coello Coello CA (2005). Improving PSO-based multi-objective optimization using crowding, mutation and ɛ-dominance. Third International Conference on Evolutionary Multi-Criterion Optimization Guanajuato. Springer-Verlag: Mexico.
  • SierraMRCoello CoelloCAMulti-objective particle swarm optimizers: A survey of the state-of-the-artInternational Journal of Computational Intelligence Research2006II3287308
  • Silva LAW and Coelho LdS (2007). An adaptive particle swarm approach applied to optimization of a simplified supply chain. In Proceedings of 19th International Conference on Production Research. PRISM Press: Valparaiso, Chile.
  • Silva CA, Sousa JMC, Runkler TA and Sa da Costa JMG (2003). Optimization of logistic processes in supply-chains using Meta-heuristics. In: Carbonell JG and Siekmann J (eds.) LNAI2902. Springer: Berlin Heidelberg, pp 9–23.
  • SilverEAPetersonRDecision Systems for Inventory Management and Production1985
  • SilverEAPykeDFPetersonRInventory Management and Production Planning and Scheduling1998
  • TalbiE-GMetaheuristics: From Design to Implementation2009
  • TsouJEvolutionary pareto optimizers for continuous review stochastic inventory systemsEuropean Journal of Operational Research2009195236437110.1016/j.ejor.2008.02.039
  • TyworthJEO’NeillLRobustness of the normal approximation of lead-time demand in a distribution settingNaval Research Logistics199744216518610.1002/(SICI)1520-6750(199703)44:2<165::AID-NAV2>3.0.CO;2-7
  • Van Veldhuizen DA and Lamont GB (1998). Multiobjective evolutionary algorithm research: A history and analysis. Air Force Institute of Technology: Ohio, USA.
  • WeberMNeriFTirronenVShuffle or update parallel differential evolution for large-scale optimizationSoft Computing201115112089210710.1007/s00500-010-0640-9
  • Xin WY (2007). Logistics coordination in vendor-buyer systems. PhD Thesis, Singapore-MIT Alliance: Singapore.
  • YuXGenMIntroduction to The Evolutionary Algorithms2010

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