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Scheduling Workforce in Decentrally Controlled Production Systems: A Literature Review

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Dynamics in Logistics (LDIC 2022)

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Abstract

Decentral production control plays a crucial role within the paradigm of Industry 4.0. Due to fast and flexible decisions on allocation and sequencing, there is no baseline schedule in advance. Moreover, the fourth industrial revolution modifies the organizational structures in the area of human resources, too. Despite changed tasks, the human is still a key factor with a coordinating, controlling and directing function—but without knowing the exact time of requirement. The workers are not available 24 h a day but are provided individually via personnel schedules. Creating a personnel schedule for the changed tasks without an overall baseline schedule becomes a crux of efficient staff deployment in the vision of Industry 4.0. This article presents the current state of this research aspect and derives a challenge for future research.

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Acknowledgement

We would especially like to thank the German Research Foundation/Deutsche Forschungsgemeinschaft (DFG), which is funding our project with the title “A simulation-based and flexi-time applying prediction model for scheduling personnel deployment times in the production planning process of cyber-physical systems” (project-id: 439188616).

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Authors and Affiliations

  1. Chair of Logistics Engineering, Institute of Material Handling and Industrial Engineering, TU Dresden, Dresden, Germany

    Julia Schwemmer, Mathias Kühn, Michael Völker & Thorsten Schmidt

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  1. Julia Schwemmer
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  2. Mathias Kühn
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  3. Michael Völker
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  4. Thorsten Schmidt
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Corresponding author

Correspondence to Julia Schwemmer .

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Editors and Affiliations

  1. Production Systems and Logistics, University of Bremen, Bremen, Germany

    Michael Freitag

  2. Global Supply Chain Management, University of Bremen, Bremen, Germany

    Aseem Kinra

  3. Logistics Management, University of Bremen, Bremen, Germany

    Herbert Kotzab

  4. Combinatorial Optimization and Logistics, University of Bremen, Bremen, Germany

    Nicole Megow

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Schwemmer, J., Kühn, M., Völker, M., Schmidt, T. (2022). Scheduling Workforce in Decentrally Controlled Production Systems: A Literature Review. In: Freitag, M., Kinra, A., Kotzab, H., Megow, N. (eds) Dynamics in Logistics. LDIC 2022. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-031-05359-7_32

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  • DOI: https://doi.org/10.1007/978-3-031-05359-7_32

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