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ISSN: 1941-7020 (Print)
ISSN: 1941-7039 (Online)
Research Article Open Access

An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules

Ramin Ahmed1, Md. Muzahid Khan1, Md. Hasibul Haque1 and Md. Hasibur Rahman1
  • 1 Khulna University of Engineering and Technology, Bangladesh

Abstract

This paper aims at developing a dynamic job shop scheduling by establishing fuzzy rule based system and comparing its effectiveness with the traditional priority rules. In order to understand the priorities of different jobs in a job shop, the paper investigates all the contributing criteria of different parameters. Since the traditional priority rules only emphasis on a single parameter at a time, the authors propose a method of obtaining a schedule which incorporates all the desired contribution criteria of the parameters used. This method includes establishing a Fuzzy priority rule. Fuzzy is an appropriate model when uncertainty and irregularities are present. It also allows modeling of a significant number of alternatives across different parameters considered in a job shop. Hence, a dynamic job shop schedule can be developed using the established fuzzy priority rule. This research is based on an example of jobs arriving in a regular semi-automated job shop, not a fully automated or software based job shop. The practical implications of this paper is to identify the proper parameters and evaluate their contribution criteria on the required conditions so that managers can determine the proper scheduling and sequence of the jobs to be machined in the job shop. This study provides a deterministic method for local managers to assess the effects of job shop scheduling and sequence of jobs.

American Journal of Engineering and Applied Sciences
Volume 9 No. 2, 2016, 202-212

DOI: https://doi.org/10.3844/ajeassp.2016.202.212

Submitted On: 15 November 2015 Published On: 11 February 2016

How to Cite: Ahmed, R., Khan, M. M., Haque, M. H. & Rahman, M. H. (2016). An Approach to Develop a Dynamic Job Shop Scheduling by Fuzzy Rule Based System and Comparative Study with the Traditional Priority Rules. American Journal of Engineering and Applied Sciences, 9(2), 202-212. https://doi.org/10.3844/ajeassp.2016.202.212

Open AccessCopyright: © 2016 Ramin Ahmed, Md. Muzahid Khan, Md. Hasibul Haque and Md. Hasibur Rahman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Fuzzy Priority Rule (FPR)
  • Fuzzy Rule Based System (FBRS)
  • Membership Function
  • Parameters
  • Contribution Criteria
  • MATLAB R2013a
  • Fuzzy Logic
  • Fuzzy Decision System
  • Normalized Function
  • Generalized Function
  • Traditional Priority Rules
  • Fuzzy Inference System
  • Shortest Processing Time (SPT)
  • Earliest Due Time (EDT)
  • Largest Batch Size (LBS)
  • Shortest Arrival Rate (SAR)