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Applying Dynamic Programming to Test Case Scheduling for Automated Production Systems

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Systems Modelling and Management (ICSMM 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1262))

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Abstract

In today’s practice, the engineering lifecycle of the manufacturing systems is getting shorter due to frequent requirement changes. Since the manufacturing systems are required to have both – higher availability from a productivity viewpoint and reliability from a safety viewpoint. To check and meet these requirements, quality assurance, typified by testing is one of the significant engineering steps. Though existing test cases can be reused during testing, there also appears a selection problem out of a vast amount of test cases. Especially, it gets more important when the time is extremely limited, e.g. in commissioning and start-up process that is a mandatory process of manufacturing systems or in regression testing. In the previous work, we have presented approaches regarding how to define and determine the utility of test cases. In this paper, we present an efficient test case scheduling approach by applying an optimization algorithm, so called “dynamic programming”. Considering a physical setup time of the mechatronics system within the approach, it becomes more applicable to the practice. Through the numerical experiment results, we also show the superiority and the scalability of the approach in comparison to two different straight-forward scheduling approaches.

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Authors and Affiliations

  1. Chair of Automation and Information Systems, Technical University of Munich, Garching near Munich, Germany

    Kathrin Land, Birgit Vogel-Heuser & Suhyun Cha

Authors
  1. Kathrin Land
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  2. Birgit Vogel-Heuser
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  3. Suhyun Cha
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Corresponding author

Correspondence to Kathrin Land .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Önder Babur

  2. University of Antwerp, Antwerp, Belgium

    Joachim Denil

  3. Technical University of Munich, Munich, Germany

    Birgit Vogel-Heuser

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Land, K., Vogel-Heuser, B., Cha, S. (2020). Applying Dynamic Programming to Test Case Scheduling for Automated Production Systems. In: Babur, Ö., Denil, J., Vogel-Heuser, B. (eds) Systems Modelling and Management. ICSMM 2020. Communications in Computer and Information Science, vol 1262. Springer, Cham. https://doi.org/10.1007/978-3-030-58167-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-58167-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58166-4

  • Online ISBN: 978-3-030-58167-1

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