Multiobjective Stochastic Programing: The Case of Production of Cakes

Abdulqader O. Hamadameen

Conference Portal, 2018 International Conference on Pure and Applied Science

Abdulqader O. Hamadameen

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Date: 2018-04-24 09:40 AM – 10:00 AM
Last modified: 2018-08-16

Abstract

A study on Multiobjective Stochastic Linear Programming Problems with Partial Information on probability distribution (MSLPI) is conducted. A method is proposed to utilize the concept of two stage transformations; fuzzy transformations in the fuzzy assertion in the probability distribution and stochastic transformation in the random constraints and the random objective function of the MSLPI. The two stage transformations convert MSLPI problem into its unique Linear Programming (LP) problem. An algorithm is proposed along with a numerical example which illustrated the practicability of the proposed algorithm. Results with existing methods shows the efficiency of the proposed method.

Published 01 August 2018

DOI: 10.14500/icpas2018.ama17

http://dx.doi.org/10.14500/icpas2018.ama17

Keywords

Compromise solution; Fuzzy and stochastic transformation approach; Fuzzy transformation; p-Level efficient point; Stochastic transformations

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