Chance Constraint based Multi-Objective Vendor Selection using NSGAII

被引：4

作者：

Aggarwal, Remica ^{[1
]}

Bakshi, Ainesh ^{[2
]}

机构：

[1] Birla Inst Technol & Sci, Dept Management, Pilani 333031, Rajasthan, India

[2] Rutgers, Dept Comp Sci, New Brunswick, NJ 08901 USA

来源：

INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONVERGENCE (ICCC 2015) | 2015年 / 48卷

关键词：

Vendor selection; Operational risks; Chance constrained approach; Genetic Algorithm; MODEL;

D O I：

10.1016/j.procs.2015.04.204

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Success of a buying firm depends largely on the suitable selection of its vendors as it ensures timely delivery of goods to support the firm's output. The paper presents a Stochastic Vendor Selection Problem (SVSP) in the presence of uncertainties associated with operational risks. The problem is modeled using Chance constraint approach and solved using NSGA II. A case example is presented as an illustration. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：699 / 705

页数：7

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