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Job Scheduling Problem in a Flow Shop System with Simulated Hardening Algorithm

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Book cover Advances in Manufacturing

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

A solution to the problem of job scheduling in a flow shop system is proposed in this paper. A three-machine flow shop system is presented with 10 sets of 10 random jobs to be processed. A new approach, called Simulated Hardening (SH), is used to schedule the jobs by taking into consideration two criteria: minimal makespan and maximal profit. The results obtained are compared with First In First Out (FIFO), Earliest Due Date (EDD), Shortest Processing Time (SPT), Longest Processing Time (LPT), Time Reserve (TR), and Descending Delay Penalty (DDP) sorting methods and confronted with the results of exhaustive search. The usefulness of the new SH algorithm is estimated in terms of the quality of the results obtained.

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Correspondence to Andrzej Jardzioch .

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Jardzioch, A., Skobiej, B. (2018). Job Scheduling Problem in a Flow Shop System with Simulated Hardening Algorithm. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds) Advances in Manufacturing. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-68619-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-68619-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68618-9

  • Online ISBN: 978-3-319-68619-6

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