Genetic algorithm and its application in industrial machinery scheduling with fuzzy due date.

Mohammad Akhshabi; Mostafa Akhshabi; Javad Khalatbari

No Detail Found!

Genetic algorithm and its application in industrial machinery scheduling with fuzzy due date.

Author(s)

Mohammad Akhshabi Department of Industrial Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Mostafa Akhshabi Department of Computer Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Javad Khalatbari Department of Management, Ramsar Branch, Islamic Azad University, Ramsar, Iran

Abstract

Appropriate programming in a gorge of plant or the key and strategic machine has much effect to increasing efficiency. Due to increasing global market competitiveness the regarded targets have become complex. Thus one criterion is not enough and scheduling with multiple criteria is more realistic. The main difficulty of these scheduling problems is extensive solving time needed to it. This paper proposed a new fuzzy scheduling model for single machine scheduling problem and aims to improve it to a real-world application through fuzzy set theory. For this purpose, due dates of jobs are defined as fuzzy numbers.

Publication Details

Page(s) 225-228

DOI DOI not available

Published Journal: Science International, Volume: 24, Issue: 3, Year: 2012

Request the full text from PASTIC