Integrating partner objectives in horizontal logistics optimisation models

被引:35
作者
Defryn, Christof [1 ,3 ]
Sorensen, Kenneth [1 ]
Dullaert, Wout [2 ]
机构
[1] Univ Antwerp, Dept Engn Management, ANT OR Operat Res Grp, Antwerp, Belgium
[2] Vrije Univ Amsterdam, Dept Informat Logist & Innovat, Amsterdam, Netherlands
[3] Maastricht Univ, Sch Business & Econ, Dept Quantitat Econ, Maastricht, Netherlands
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2019年 / 82卷
基金
比利时弗兰德研究基金会;
关键词
Horizontal logistics cooperation; Multi-objective optimisation; Clustered vehicle routing problem; VEHICLE-ROUTING PROBLEM; COST ALLOCATION; COLLABORATIVE TRANSPORTATION; GAME-THEORY; COOPERATION; SAVINGS; ALGORITHMS; COMPANIES; REQUEST;
D O I
10.1016/j.omega.2017.11.008
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper a general solution framework is presented for optimising decisions in a horizontal logistics cooperation. The framework distinguishes between the objective of the group and the objectives of the individual partners in the coalition. Although the importance of the individual partner interests is often acknowledged in the literature, the proposed solution framework is the first to include these objectives directly into the objective function of the optimisation model. The solution framework is applied to a collaborative variant of the clustered vehicle routing problem, for which we also create a set of benchmark instances. We find that by only considering a global coalition objective, the obtained solution is often suboptimal for some partners in the coalition. Providing a set of high quality alternative solutions that are Pareto efficient with respect to the partner objectives, gives additional insight in the sensitivity of a solution, which can support the decision making process. Our computational results therefore acknowledge the importance of including the individual partner objectives into the optimisation procedure. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 45 条
[1]   Assessing partnership savings in horizontal cooperation by planning linked deliveries [J].
Adenso-Diaz, B. ;
Lozano, S. ;
Garcia-Carbajal, S. ;
Smith-Miles, K. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2014, 66 :268-279
[2]   Analysis of the synergies of merging multi-company transportation needs [J].
Adenso-Diaz, B. ;
Lozano, S. ;
Moreno, P. .
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2014, 10 (06) :533-547
[3]   Cost allocation in the establishment of a collaborative transportation agreement-an application in the furniture industry [J].
Audy, J-F ;
D'Amours, S. ;
Rousseau, L-M .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2011, 62 (06) :960-970
[4]   Models for Minimizing Backhaul Costs Through Freight Collaboration [J].
Bailey, Erin ;
Unnikrishnan, Avinash ;
Lin, Dung-Ying .
TRANSPORTATION RESEARCH RECORD, 2011, (2224) :51-60
[5]   Exact Algorithms for the Clustered Vehicle Routing Problem [J].
Battarra, Maria ;
Erdogan, Guenes ;
Vigo, Daniele .
OPERATIONS RESEARCH, 2014, 62 (01) :58-71
[6]   Solutions to the request reassignment problem in collaborative carrier networks [J].
Berger, Susanne ;
Bierwirth, Christian .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (05) :627-638
[7]  
Bo Dai, 2011, Logistics Research, V3, P101, DOI 10.1007/s12159-011-0046-9
[8]  
Cruijssen F., 2007, International Journal of Physical Distribution & Logistics Management, V37, P287, DOI 10.1108/09600030710752514
[9]   Cooperative planning in express carrier networks - An empirical study on the effectiveness of a real-time Decision Support System [J].
Dahl, Sascha ;
Derigs, Ulrich .
DECISION SUPPORT SYSTEMS, 2011, 51 (03) :620-626
[10]  
Defryn C, MULTIOBJECTIVE OPTIM