Title : ( LOCATIION AND JOB SHOP SCHEDULING PROBLEM IN FUZZY ENVIRENMENT )
Authors: Mohammadali Pirayesh , SAEED POORMOAIED ,
Full TextAbstract
In this paper we consider job shop scheduling problem (JSSP) and quadratic assignment problem (QAP), simultaneously. We assume that each job has due date, tardiness and earliness penalty. Processing time, due date, transportation time and set-up time are fuzzy parameters. The aim of this paper is to determine machine location and job scheduling such that the summation of tardiness and earliness penalties as well as transportation cost is minimized. We call the new problem as Fuzzy Job shop scheduling and location problem (FJSSLP). To solve the proposed model, genetic algorithm will be proposed.
Keywords
, job shop scheduling; quadratic assignment; fuzzy parameters, genetic algorithm
@inproceedings{paperid:1029840,
author = {Pirayesh, Mohammadali and POORMOAIED, SAEED},
title = {LOCATIION AND JOB SHOP SCHEDULING PROBLEM IN FUZZY ENVIRENMENT},
booktitle = {the 5th Int. Conference of the Iranian Society of Operations Research},
year = {2012},
location = {تبریز, IRAN},
keywords = {job shop scheduling; quadratic assignment; fuzzy parameters; genetic algorithm},
}
%0 Conference Proceedings
%T LOCATIION AND JOB SHOP SCHEDULING PROBLEM IN FUZZY ENVIRENMENT
%A Pirayesh, Mohammadali
%A POORMOAIED, SAEED
%J the 5th Int. Conference of the Iranian Society of Operations Research
%D 2012
