News Updates Wednesday 23rd Jan 2019 :
  • Welcome to INPRESSCO, 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 Jan/Feb 2019 is 26 Jan 2019, Submit online or at
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Optimizing Dynamic Flexible Job Shop Scheduling Problem Based on Genetic Algorithm

Author : Abd Elrahman Elgendy, Mohammed Hussein, Abdelmoty Elhakeem

Pages : 368-373
Download PDF

Scheduling the flexible job shop in the dynamic environment, in which arriving new job, the breakdown of machines and processing time variation are possible, is the most complex problem in the manufacturing system until now. A genetic algorithm (GA) was developed to deal with the problem related to flexible job shop scheduling problem represented in routing and sequencing the operations, besides the problem related to dynamic environment represented in appearing new events such as new job arrival and processing time variation. The algorithm incorporated the traditional procedures of GA with a repair strategy in order to optimize the makespan of dynamic flexible job shop scheduling problem (DFJSSP). The results indicate that the proposed algorithm is effective for solving DFJSSP.

Keywords: Flexible Job Shop Scheduling Problem, Dynamic Job Shop Scheduling Problem, Genetic Algorithm, Rescheduling strategy

Article published in International Journal of Current Engineering and Technology, Vol.7, No.2 (April-2017)

Call for Papers
  1. IJCET- Jan/Feb 2019 Issue

    Submission Last Date
    26 Jan
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2019
  5. IJAIE-March-2019
  6. IJCSB-March-2019
  • 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
©2010-2018 INPRESSCO® All Rights Reserved