Applied Mathematics

Volume 5, Issue 2 (January 2014)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

An Approach to Solve a Possibilistic Linear Programming Problem

HTML  Download Download as PDF (Size: 182KB)  PP. 226-233  
DOI: 10.4236/am.2014.52024    4,082 Downloads   6,698 Views  Citations

ABSTRACT

The objective of the paper is to deal with a kind of possibilistic linear programming (PLP) problem involving multiple objectives of conflicting nature. In particular, we have considered a multi objective linear programming (MOLP) problem whose objective is to simultaneously minimize cost and maximize profit in a supply chain where cost and profit coefficients, and related parameters such as available supply, forecast demand and budget are fuzzy with trapezoidal fuzzy numbers. An example is given to illustrate the strategy used to solve the aforesaid PLP problem.

Share and Cite:

R. Chopra and R. Saxena, "An Approach to Solve a Possibilistic Linear Programming Problem," Applied Mathematics, Vol. 5 No. 2, 2014, pp. 226-233. doi: 10.4236/am.2014.52024.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.