Optimization of supplier selection and order allocation under fuzzy demand in fuzzy lead time

2Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper deals with the problem of Supplier Selection and Order Allocation (SSOA) in a fuzzy sense. The demand and delivery lead time are treated as fuzzy numbers. The fuzzy number is first transformed into interval numbers. After doing some arithmetic operations, those fuzzy interval numbers are defuzzified to a crisp quantity. This crisp quantity is further used as an input parameter in the model. Essentially, the main approach in this paper is based on the function principle and the pascal triangular graded mean approach. The SSOA problem is constructed as a Multiple Criteria Decision Making (MCDM) problem aiming to optimize the order quantities placed to many suppliers. The problem is solved by a fuzzy linear programming technique. A numerical example is also given for the illustration of the discussed issues.

Cite

CITATION STYLE

APA

Suprasongsin, S., Huynh, V. N., & Yenradee, P. (2016). Optimization of supplier selection and order allocation under fuzzy demand in fuzzy lead time. In Communications in Computer and Information Science (Vol. 660, pp. 182–195). Springer Verlag. https://doi.org/10.1007/978-981-10-2857-1_16

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free