Modelling of parallel production system with rework paths and its GA based simulator for optimal design

Khalid R. Al-Momani, Jaber E.Abu Qudeiri

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Production lines are widely used in high volume industries and vary in their sophistication from simple to the complicated structured such as parallel, reworks, feed-forward, etc. One of the common production styles in many modern industries is the parallel production system with rework path (PPS-RP) and one of the methods used for studying the PPS-RP design is through genetic algorithm (GA). As a one of the important tasks in using GA is how to express a chromosome. This paper attempts to find the nearest optimal design of a PPS-RP that will maximise production efficiency by optimising the following two decision variables: buffer size between each pair of work stations and machine numbers in each of the work stations. In order to do this, a new GA-simulation based method to find the nearest optimal design for the proposed PPS-RP is introduced. For efficient use of GA, the used GA methodology is based on a technique that is called non-homogeneous gene arrangement method (NGAM) which arranges the genes inside individuals. An experimental numerical examples showed that after a number of operations based on the proposed simulator, it was possible to get the nearest optimal design of PPS-RP.

Original languageEnglish
Pages (from-to)69-81
Number of pages13
JournalInternational Journal of Manufacturing Technology and Management
Issue number1-2
Publication statusPublished - Aug 2011
Externally publishedYes


  • Buffer size
  • GA
  • Genetic algorithm
  • PPS
  • Parallel production system
  • Production system design
  • Rework path

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Industrial and Manufacturing Engineering
  • Information Systems and Management
  • Electrical and Electronic Engineering


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