A Review for Dynamic Scheduling in Manufacturing

Osama Mohammed Elmardi Suleiman Khayal
Osama Mohammed Elmardi Suleiman Khayal * §
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M.I. Shukri
M.I. Shukri
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Osama Mohammed Elmardi
Osama Mohammed Elmardi
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§ Nile Valley University

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A Review for Dynamic Scheduling in Manufacturing

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Abstract

This paper discusses review of literature of dynamic scheduling in manufacturing. First, the problem is defined. The scheduling problems are classified based on the nature of the shop configuration into five classes, i.e., single machine, parallel machines, flow shop, job shop, and open shop. A variety of approaches have been developed to solve the problem of dynamic scheduling. Dynamic scheduling could be classified into four categories, completely reactive scheduling, predictive-reactive scheduling, robust predictive reactive scheduling, and robust proactive scheduling. It is better to combine together different techniques such as operational research and artificial intelligence to overcome dynamic scheduling problems so as to endow the scheduling system with the required flexibility and robustness, and to suggest various orientations for further work is this area of research.

References

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How to Cite This Article

Khalid Muhamadin Mohamed Ahmed Bukkur, M.I. Shukri, Osama Mohammed Elmardi. 2018. "A Review for Dynamic Scheduling in Manufacturing". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 18 (GJRE Volume 18 Issue J5).

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Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-J Classification FOR Code: 091399
  • Submission ReceivedDecember 9, 2017
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2018
  • Published December 8, 2018
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Issue date
December 8, 2018

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English
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A Review for Dynamic Scheduling in Manufacturing

Khalid Bukkur
Khalid Bukkur Nile Valley University
M.I. Shukri
M.I. Shukri
Osama Elmardi
Osama Elmardi
  • Submission ReceivedDecember 9, 2017
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2018
  • Published December 8, 2018