News Updates Wednesday 26th Oct 2016 :
  • Welcome to International Press Corporation, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Sept/Oct 2016 issue is 28 Oct 2016, Submit online or at
  • Our journals are indexed in University of Regensburg Germany, Google Scholar, Cross Reference data bases
  • Applications for reviewers are invited and can be sent directly to concerned editor's mail

A MATLAB GUI Tool for Optimization of FMS Scheduling using Conventional and Evolutionary Approaches

Author : A.V.S.Sreedhar Kumar, V.Veeranna, B.Durgaprasad and B.Dattatraya Sarma

Pages : 1739-1744
Download PDF

One of the methods to increase competitiveness in manufacturing is by converting existing manufacturing systems in to flexible manufacturing systems (FMS) and by implementing an optimum schedule for its operations.. Scheduling in an FMS environment is more complex and difficult than in a conventional manufacturing environment. To achieve high performance in an FMS, a good scheduling system should make a right decision at a right time according to system conditions. A MATLAB based GUI is designed to provide an automated tool for optimization of scheduling using conventional and evolutionary approaches. The primary objective of this tool is to automate and facilitate scheduling using the best possible approach for a particular job scenario involving multiple machines and jobs. The tool box is implemented using MATLAB version 7.1.The tool enables the user easy access in terms of loading the machine timings and job sequence details. In this work, we have also investigated the suitability of Bacterial Foraging Optimization Algorithm (BFOA) for scheduling in FMS systems. The performance of the system is proposed to be validated against other evolutionary strategies like Genetic Algorithm (GA) and Differential Evolution (DE).Most of the optimization functions proposed in the literature have penalties incorporated in them when the scheduled job is not completed in the specified time. We propose to incorporate a reward for each job if the job is completed in time or ahead of its due date. Such an approach is expected to increase the efficiency in regard to the total machining time.

Keywords: Flexible manufacturing system, Scheduling, MATLAB GUI Tool, Genetic Algorithm, Differential Evolution, Bacterial Foraging Optimization Algorithm

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.5(Dec- 2013)




Call for Papers
  1. IJCET- Sept/Oct-2016 Issue

    Submission Last Date
    28 Oct 2016
  2. IJTT-Sept-2016
  3. IJAIE-Sept-2016
  4. IJCSB-Sept-2016
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2016 INPRESSCO® All Rights Reserved