Performance Evaluation of Complex Multi-Echelon Distribution Supply Chain

被引:0
作者
Eddoug, Khadija [1 ]
Lissane ElHaq, Saad [1 ]
Echcheikh, Hamid [2 ]
机构
[1] ENSEM Natl High Sch Elect & Mech, Lab Res Engn LR, TOPES, Casablaca, Morocco
[2] ISEM Higher Inst Maritime Studies, Casablaca, Morocco
来源
2018 4TH IEEE INTERNATIONAL CONFERENCE ON LOGISTICS OPERATIONS MANAGEMENT (GOL) | 2018年
关键词
multi-echelon distribution supply chain (MEDSC); combined distribution management policies (CDMP); discrete event simulation; SIMULATION; DISRUPTIONS; DEMAND; SYSTEM; MODEL;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this work, we consider a multi-echelon multi products distribution supply chain with a supplier, a central distribution center and multiple regional distribution centers. Each participant places its orders to the upstream (previous) echelon. The demand and lead time are assumed to be stochastic. The interval time of replenishment, the safety stock, the capacity stock and the measure of performance of the global system are calculated with specific mathematic equations. The objective of this study is to examine the impacts of varying combined distribution management policies, on the systems total costs and service level. According to these policies, various scenarios are predefined, and framework of discrete event simulation is developed. Thereafter, different scenarios are simulated in order to discuss and compare their results with references scenarios. The results are illustrated with suitable numerical examples.
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页数:10
相关论文
共 28 条
  • [21] Performance of supply chain collaboration - A simulation study
    Ramanathan, Usha
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (01) : 210 - 220
  • [22] SIMULATING INVENTORY SYSTEMS WITH FORECAST BASED POLICY UPDATING
    Rossetti, Manuel
    Varghese, Vijith
    Miman, Mehmet
    Pohl, Edward
    [J]. 2008 WINTER SIMULATION CONFERENCE, VOLS 1-5, 2008, : 2732 - 2740
  • [23] Inventory systems with stochastic demand and supply: Properties and approximations
    Schmitt, Amanda J.
    Snyder, Lawrence V.
    Shen, Zuo-Jun Max
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 206 (02) : 313 - 328
  • [24] Silver EA., 1998, PETERSON INVENTORY M
  • [25] A tight approximation for an EOQ model with supply disruptions
    Snyder, Lawrence V.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 155 : 91 - 108
  • [26] Sobotka A., 2005, Journal of Civil Engineering and Management, V11, P73
  • [27] Pull-driven scheduling for pipe-spool installation: Simulation of lean construction technique
    Tommelein, ID
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1998, 124 (04): : 279 - 288
  • [28] Demand uncertainty in construction supply chains: a discrete event simulation study
    Vidalakis, C.
    Tookey, J. E.
    Sommerville, J.
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2013, 64 (08) : 1194 - 1204