Multiobjective supplier selection using optimisation technique for balancing supply chain

被引：2

作者：

Arunkumar, N. ^{[1
]}

Karunamoorthy, L. ^{[2
]}

Lobo Shenoy, Amrish A. ^{[2
]}

Thamizhvaanan, N. ^{[2
]}

Naidu, Vikram B. ^{[2
]}

机构：

[1] Department of Mechanical Engineering, St. Joseph's College of Engineering, Jeppiar Nagar, Chennai 600 119, Old Mahabalipuram Road

[2] Department of Mechanical Engineering, College of Engineering, Anna University, Guindy

来源：

International Journal of Industrial and Systems Engineering | 2008年 / 3卷 / 05期

关键词：

Analytic hierarchy process; Incremental discount; Linear integer programming; Multiobjective; Multisource supplier selection; Non-linear programming; Pareto optimality;

D O I：

10.1504/IJISE.2008.018233

中图分类号：

学科分类号：

摘要：

This paper presents an innovative method to distribute sales volume among multiple suppliers in a multiobjective, multisource supplier selection scenario using optimisation techniques. The dynamics of assigning sales volume is captured in a mathematical model purported at satisfying multiple objectives. In such a multiobjective scenario, the theory of pareto optimality is introduced to formulate the process of optimal supplier selection. Linear Integer Programming method is proposed to solve the mathematical model for an optimal solution. The mathematical model is also retrofitted to solve for models with incremental discount pricing with the help of Non-Linear Programming techniques. The results illustrate the effectiveness and applicability of the technique under the discussed scenario. The results obtained using the linear integer programming method are also compared against a conventional process like Analytic Hierarchy Process and both the methods are appraised for their merits and demerits. © 2008, Inderscience Publishers.

引用

页码：575 / 593

页数：18