Scheduling identical parallel machine with unequal job release time to minimise total flow time
Zubair Ahmed and
Tarek Y. Elmekkawy
International Journal of Industrial and Systems Engineering, 2013, vol. 13, issue 4, 409-423
Abstract:
This paper addresses the identical parallel machine scheduling problem with unequal jobs release date to minimise the total flow time. An efficient heuristic algorithm was proposed, known as modified forward heuristic algorithm. The algorithm starts with developing a priority list of all jobs. This list is used to develop sub-schedules for each machine based on some propositions related to the jobs processing and release times with allowing delay schedule. A mathematical model of the problem was also developed. The performance of the algorithm was evaluated by comparing its solutions with the optimal solutions of small test cases obtained from the developed mathematical model. Then, the results of large problems were compared with the results of the best reported heuristics in the literature. In addition to the simplicity of the proposed algorithm, these comparisons showed that the proposed algorithm can obtain solutions that are very close to the optimum solutions and better than the other heuristics.
Keywords: identical parallel machines; unequal job release; heuristics; total flow time; parallel machine scheduling; mathematical modelling. (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.inderscience.com/link.php?id=52606 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:13:y:2013:i:4:p:409-423
Access Statistics for this article
More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().