Optimal production allocation and distribution supply chain networks

被引:136
|
作者
Tsiakis, Panagiotis [1 ]
Papageorgiou, Lazaros G. [2 ]
机构
[1] Proc Syst Enterprise Ltd, London W6 9DA, England
[2] UCL, Dept Chem Engn, Ctr Proc Syst Engn, London WC1E 7JE, England
关键词
production allocation; duties; mixed integer linear programming; optimisation; supply chain;
D O I
10.1016/j.ijpe.2007.02.035
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Enterprise optimisation can rapidly strip significant "bottom line" costs out of global operations, giving companies a real competitive edge. The benefits of managing supply chain networks by integrating operational, design and financial decisions have been acknowledged by the industrial and academic community. The objective of this work is to determine the optimal configuration of a production and distribution network subject to operational and financial constraints. Operational constraints include quality, production and supply restrictions, and are related to the allocation of the production and the work-load balance. Financial constraints include production costs, transportation costs and duties for the material flowing within the network subject to exchange rates. As a business decision the out-sourcing of production is considered whenever the organisation cannot satisfy the demand. A mixed integer linear programming (MILP) model is proposed to describe the optimisation problem. A case study for the coatings business unit of a global specialty chemicals manufacturer is used to demonstrate the applicability of the approach in a number of scenarios. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:468 / 483
页数:16
相关论文
共 50 条
  • [21] Optimal ESS Allocation for Benefit Maximization in Distribution Networks
    Awad, Ahmed S. A.
    El-Fouly, Tarek H. M.
    Salama, Magdy M. A.
    IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (04) : 1668 - 1678
  • [22] Endogenous Production Networks Under Supply Chain Uncertainty
    Kopytov, Alexandr
    Mishra, Bineet
    Nimark, Kristoffer
    Taschereau-Dumouchel, Mathieu
    ECONOMETRICA, 2024, 92 (05) : 1621 - 1659
  • [23] Production and Distribution Planning Model for Hinterland Supply Chain
    Zhao, S. T.
    Yuan, X. M.
    Ling, S. F.
    2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM), 2011, : 247 - 251
  • [24] Study on the Allocation of Carbon Emissions Based on the Supply Chain Profit Distribution
    Ji, Guojun
    Zhao, Yang
    ADVANCES IN MANUFACTURING SCIENCE AND ENGINEERING, PTS 1-4, 2013, 712-715 : 3067 - 3071
  • [25] The Pandemic and the Supply Chain: Gaps in Pharmaceutical Production and Distribution
    Socal, Mariana P.
    Sharfstein, Joshua M.
    Greene, Jeremy A.
    AMERICAN JOURNAL OF PUBLIC HEALTH, 2021, 111 (04) : 635 - 639
  • [26] Integrated Production and Distribution Scheduling in Supply Chain Management
    Bai Mengzhuo
    INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 399 - 403
  • [27] Integration of sale and leaseback in the optimal design of supply chain networks
    Longinidis, Pantelis
    Georgiadis, Michael C.
    OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2014, 47 : 73 - 89
  • [28] A branch and efficiency algorithm for the optimal design of supply chain networks
    Konstantinos Petridis
    Prasanta Kumar Dey
    Ali Emrouznejad
    Annals of Operations Research, 2017, 253 : 545 - 571
  • [29] A branch and efficiency algorithm for the optimal design of supply chain networks
    Petridis, Konstantinos
    Dey, Prasanta Kumar
    Emrouznejad, Ali
    ANNALS OF OPERATIONS RESEARCH, 2017, 253 (01) : 545 - 571
  • [30] Simulation based optimal configuration of distribution channel in supply chain
    Xie, XD
    Arun, K
    SIMULATION AND MODELLING: ENABLERS FOR A BETTER QUALITY OF LIFE, 2000, : 461 - 465