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Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data

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Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures (APMS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 691))

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Abstract

Planning quality depends on the use of correct, accurate, realistic, and reliable planning data. Industry 4.0 has facilitated large-scale data collection from a variety of sources, including production feedback data. The hierarchical nature of traditional production planning and control (PPC) limits the ability to use such data to improve planning quality. This paper explores how planning quality can be improved through the application of production feedback data into tactical production planning. The paper shows that while current tactical planning is mainly based on static master data, some of the master data for planning should instead be dynamically determined based on analysis of production feedback data. The paper develops a conceptual model for how production feedback data can be linked to tactical planning, illustrates how production feedback data can be applied in tactical planning, and proposes a method for how companies can integrate production feedback data into their tactical planning. Future work includes application and testing of the proposed concept in real-life cases and studies to better understand the specific relationship between the accuracy of master data and the performance of production plans.

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Acknowledgements

The research presented in this paper was conducted as part of the DigiMat project, with financial support from NTNU, the participating companies, and the Research Council of Norway.

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Authors and Affiliations

  1. NTNU, NO-7491, Trondheim, Norway

    Mina Rahmani, Øyvind A. M. Syversen, Anita Romsdal, Fabio Sgarbossa & Jan Ola Strandhagen

Authors
  1. Mina Rahmani
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  2. Øyvind A. M. Syversen
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  3. Anita Romsdal
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  4. Fabio Sgarbossa
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  5. Jan Ola Strandhagen
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Corresponding author

Correspondence to Mina Rahmani .

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Editors and Affiliations

  1. Norwegian University of Science and Technology, Trondheim, Norway

    Erlend Alfnes

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Anita Romsdal

  3. Norwegian University of Science and Technology, Trondheim, Norway

    Jan Ola Strandhagen

  4. ZF Friedrichshafen AG, Friedrichshafen, Germany

    Gregor von Cieminski

  5. Tecnológico de Monterrey, Mexico City, Mexico

    David Romero

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Rahmani, M., Syversen, Ø.A.M., Romsdal, A., Sgarbossa, F., Strandhagen, J.O. (2023). Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 691. Springer, Cham. https://doi.org/10.1007/978-3-031-43670-3_54

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  • DOI: https://doi.org/10.1007/978-3-031-43670-3_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43669-7

  • Online ISBN: 978-3-031-43670-3

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