Multi-objective supplier selection and order allocation under disruption risk

被引：91
|
作者：
PrasannaVenkatesan, S. [1 ]
Goh, M. [2 ]
机构：
[1] Natl Inst Technol, Dept Prod Engn, Tiruchirappalli 620015, Tamil Nadu, India
[2] Natl Univ Singapore, NUS Business Sch, Singapore, Singapore
来源：
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW | 2016年 / 95卷
关键词：
Supplier disruption; Order allocation; Fuzzy AHP; Fuzzy PROMETHEE; MOPSO; PARTICLE SWARM OPTIMIZATION; EXTENT ANALYSIS METHOD; DECISION-MAKING; CHAIN RISK; QUANTITY DISCOUNT; PROMETHEE METHOD; FUZZY AHP; MODEL; COSTS; ALGORITHM;
D O I：
10.1016/j.tre.2016.09.005
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We formulate a multi-objective MILP model to find the optimal choice of suppliers and their order quantity allocation under disruption risk. Suppliers are evaluated and ranked, based on the preference values obtained using a hybrid fuzzy AHP-fuzzy PROMETHEE. Multi-objective Particle Swarm Optimization is then applied to yield a set of Pareto-optimal solutions for the choice of suppliers and their order allocation. Numerical experimentation suggests that the supplier failure probability affects the expected total cost more than supplier flexibility and loss cost. Sensitivity analysis is performed on the failure probability, the output flexibility, and loss cost of the suppliers. (C) 2016 Elsevier Ltd. All rights reserved.
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页码：124 / 142
页数：19
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