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KB-SCHED: Knowledge-based scheduler for complex and dynamic systems

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Abstract

Scheduling problems are becoming more and more complex everyday. This makes the current rules and algorithms difficult to comply with the requirements. New machines with the capabilities of processing more than one jobs is being developed. Sometimes one job is divided into parts and processed by more than one machine at the same time. These make the current algorithms insufficient. Artificial intelligence technologies, especially expert systems are proven to deal with such dynamic complex problems in several domains. In this study, an example of such a complex problem is introduced and knowledge-based scheduling for these kind of problems is elaborated with a real life industrial example.

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Authors and Affiliations

  1. Müh. Fak. End. Müh. Böl, Sakarya Üniversitesi, Esentepe Kampüs, Sakarya

    Ercan Öztemel & Cemalettin Kubat

  2. UNSA, Ambalaj San, ve Tic. A.Sç, Fabrika Sokak, No 8, Samandira, Kartal, Istanbul

    Hatice Kolay

Authors
  1. Ercan Öztemel
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  2. Hatice Kolay
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  3. Cemalettin Kubat
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Öztemel, E., Kolay, H. & Kubat, C. KB-SCHED: Knowledge-based scheduler for complex and dynamic systems. Journal of Intelligent Manufacturing 15, 535–542 (2004). https://doi.org/10.1023/B:JIMS.0000034117.74896.76

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  • DOI: https://doi.org/10.1023/B:JIMS.0000034117.74896.76

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