Title: An integrated approach using utility theory and chance-constrained programming for supplier quota allocation
Authors: Manoj Kumar, Prem Vrat, Ravi Shankar
Addresses: Mechanical Engineering Department, Indian Institute of Technology Delhi, New Delhi-110016, India. ' Indian Institute of Technology, Roorkee-247667, Uttaranchal, India. ' Department of Management Studies, Indian Institute of Technology Delhi, New Delhi-110016, India
Abstract: In this paper, a solution procedure based on utility theory and chance-constrained programming is developed to solve a supplier quota allocation problem. The objectives of the problem incorporate maximisation of sales revenues, quality and on-time delivery. Some realistic constraints such as buyers| demand, budget allocation to individual vendors, etc. are also modelled in this problem. The proposed approach allows us to handle random aspects of input information. The effect of different levels of uncertainties is also analysed to understand how quota allocation to suppliers changes and how some of the suppliers lose their quota in an uncertain environment. A case illustration of a real automobile manufacturer is provided which shows the effectiveness and application of the model to suppliers| quota allocation problem in a supply chain.
Keywords: supply chain management; SCM; supplier quota allocation; utility theory; chance-constrained programming; uncertainty; automobile industry.
International Journal of Integrated Supply Management, 2006 Vol.2 No.1/2, pp.132 - 148
Published online: 05 Dec 2005 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article