Fair transfer price and inventory holding policies in two-enterprise supply chains

被引:70
作者
Gjerdrum, J
Shah, N [1 ]
Papageorgiou, LG
机构
[1] Univ London Imperial Coll Sci Technol & Med, Ctr Proc Syst Engn, London SW7 2BY, England
[2] UCL, Dept Chem Engn, London WC1E 3JE, England
关键词
multi-enterprise supply chain modelling; transfer pricing; branch-and-bound optimisation; game theory;
D O I
10.1016/S0377-2217(01)00349-6
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A key issue in supply chain optimisation involving multiple enterprises is the determination of policies that optimise the performance of the supply chain as a whole while ensuring adequate rewards for each participant. In this paper, we present a mathematical programming formulation for fair, optimised profit distribution between echelons in a general multi-enterprise supply chain. The proposed formulation is based on an approach applying the Nash bargaining solution for finding optimal multi-partner profit levels subject to given minimum echelon profit requirements. The overall problem is first formulated as a mixed integer non-linear programming (MINLP) model. A spatial and binary variable branch-and-bound algorithm is then applied to the above problem based on exact and approximate linearisations of the bilinear terms involved in the model, while at each node of the search tree, a mixed integer linear programming (MILP) problem is solved. The solution comprises inter-firm transfer prices, production and inventory levels, flows of products between echelons, and sales profiles. The applicability of the proposed approach is demonstrated by a number of illustrative examples based on industrial processes. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:582 / 599
页数:18
相关论文
共 33 条
[1]   A global optimization method, αBB, for general twice-differentiable constrained NLPs -: II.: Implementation and computational results [J].
Adjiman, CS ;
Androulakis, IP ;
Floudas, CA .
COMPUTERS & CHEMICAL ENGINEERING, 1998, 22 (09) :1159-1179
[2]   JOINTLY CONSTRAINED BICONVEX PROGRAMMING [J].
ALKHAYYAL, FA ;
FALK, JE .
MATHEMATICS OF OPERATIONS RESEARCH, 1983, 8 (02) :273-286
[3]  
[Anonymous], 1993, GAME THEORY STRATEGY
[4]  
[Anonymous], ECONOMETRICA
[5]  
[Anonymous], PRODUCTION INVENTORY
[6]  
[Anonymous], 1995, Handbook of global optimization, Nonconvex Optimization and its Applications
[7]   GLOBAL SUPPLY CHAIN MANAGEMENT AT DIGITAL-EQUIPMENT-CORPORATION [J].
ARNTZEN, BC ;
BROWN, GG ;
HARRISON, TP ;
TRAFTON, LL .
INTERFACES, 1995, 25 (01) :69-93
[8]  
Baldenius T., 1999, REV ACCOUNT STUD, V4, P67, DOI DOI 10.1023/A:1009638001487
[9]   The evolution of production models: is a new paradigm emerging? [J].
Bartezzaghi, E .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 1999, 19 (02) :229-250
[10]  
Benson HP, 1996, NAV RES LOG, V43, P765, DOI 10.1002/(SICI)1520-6750(199609)43:6<765::AID-NAV1>3.0.CO