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 17 条
[1]   GLOBAL SUPPLY CHAIN MANAGEMENT AT DIGITAL-EQUIPMENT-CORPORATION [J].
ARNTZEN, BC ;
BROWN, GG ;
HARRISON, TP ;
TRAFTON, LL .
INTERFACES, 1995, 25 (01) :69-93
[2]   Unresolved issues in supply chain network design [J].
Ballou, RH .
INFORMATION SYSTEMS FRONTIERS, 2001, 3 (04) :417-426
[3]   Supply chain design and analysis: Models and methods [J].
Beamon, BM .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1998, 55 (03) :281-294
[4]   Strategic tactical and operational production-distribution models: a review [J].
Bilgen, B ;
Ozkarahan, I .
INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT, 2004, 28 (02) :151-171
[5]  
Brooke A., 1998, GAMS USERS GUIDE
[6]   A general model for extended strategic supply chain management with emphasis on product life cycles including development and recycling [J].
Fandel, G ;
Stammen, M .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2004, 89 (03) :293-308
[7]   Fair transfer price and inventory holding policies in two-enterprise supply chains [J].
Gjerdrum, J ;
Shah, N ;
Papageorgiou, LG .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (03) :582-599
[8]   Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms [J].
Goetschalckx, M ;
Vidal, CJ ;
Dogan, K .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (01) :1-18
[9]   Multi-site planning: A transshipment problem [J].
Guinet, A .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2001, 74 (1-3) :21-32
[10]   Global supply chain design [J].
Harrison, TP .
INFORMATION SYSTEMS FRONTIERS, 2001, 3 (04) :413-416