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Artificial Intelligence Review

, Volume 39, Issue 2, pp 97–108 | Cite as

An artificial immune system for solving production scheduling problems: a review

  • Ahmad Shahrizal Muhamad
  • Safaai Deris
Article

Abstract

This article reviews the production scheduling problems focusing on those related to flexible job-shop scheduling. Job-shop and flexible job-shop scheduling problems are one of the most frequently encountered and hardest to optimize. This article begins with a review of the job-shop and flexible job-shop scheduling problem, and follow by the literature on artificial immune systems (AIS) and suggests ways them in solving job-shop and flexible job-shop scheduling problems. For the purposes of this study, AIS is defined as a computational system based on metaphors borrowed from the biological immune system. This article also, summarizes the direction of current research and suggests areas that might most profitably be given further scholarly attention.

Keywords

Production scheduling Job-shop scheduling Flexible job-shop scheduling Artificial intelligence Artificial immune system Evolutionary computation 

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Artificial Intelligence and Bioinformatics Group, Faculty of Computer Science and Information SystemUniversiti Teknologi MalaysiaUTM SkudaiMalaysia

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