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A Mathematical Dynamic Fuzzy Logic to Estimate the Average Throughput Time for a New Automated Full-Case Picking System

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Dynamics in Logistics

Part of the book series: Lecture Notes in Logistics ((LNLO))

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Abstract

This chapter presents a new automated full-case Order Picking (OP) system. A dynamic fuzzy logic will be used to determine the average expected throughput time of the system and to find the mathematical equations, which describe the system. This system has been developed as a new technique that minimizes OP time and other non-value adding tasks and maximizes performance. This new system will improve productivity, accuracy, and speed of order delivery in comparison with conventional automated full-case picking systems.

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References

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Author information

Authors and Affiliations

  1. Transport Systems and Logistics, Duisburg-Essen University, Duisburg, Germany

    Mohammed Ruzayqat, Valentine Obi & Bernd Noche

Authors
  1. Mohammed Ruzayqat
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  2. Valentine Obi
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  3. Bernd Noche
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Corresponding author

Correspondence to Mohammed Ruzayqat .

Editor information

Editors and Affiliations

  1. Lehrstuhl für ABWL und Logistikmanagemen, University of Bremen, Bremen, Germany

    Herbert Kotzab

  2. University of Bremen, Bremen, Germany

    Jürgen Pannek

  3. Planung und Steuerung produktionstechnischer Systeme, Bremer Institut für Produktion und Logistik (BIBA), Bremen, Bremen, Germany

    Klaus-Dieter Thoben

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Ruzayqat, M., Obi, V., Noche, B. (2016). A Mathematical Dynamic Fuzzy Logic to Estimate the Average Throughput Time for a New Automated Full-Case Picking System. In: Kotzab, H., Pannek, J., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-23512-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-23512-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23511-0

  • Online ISBN: 978-3-319-23512-7

  • eBook Packages: EngineeringEngineering (R0)

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