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Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications

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  • Olumide Emmanuel Oluyisola

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

  • Fabio Sgarbossa

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

  • Jan Ola Strandhagen

    (Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

Abstract

Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.

Suggested Citation

  • Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3791-:d:354773
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    Cited by:

    1. Olumide Emmanuel Oluyisola & Swapnil Bhalla & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 311-332, January.
    2. Maja Trstenjak & Tihomir Opetuk & Hrvoje Cajner & Natasa Tosanovic, 2020. "Process Planning in Industry 4.0—Current State, Potential and Management of Transformation," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    3. Valentina De Simone & Valentina Di Pasquale & Maria Elena Nenni & Salvatore Miranda, 2023. "Sustainable Production Planning and Control in Manufacturing Contexts: A Bibliometric Review," Sustainability, MDPI, vol. 15(18), pages 1-23, September.
    4. Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.
    5. Seunghoon Lee & Yongju Cho & Young Hoon Lee, 2020. "Injection Mold Production Sustainable Scheduling Using Deep Reinforcement Learning," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    6. Hail Jung & Jinsu Jeon & Dahui Choi & Jung-Ywn Park, 2021. "Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    7. Marcel Rolf Pfeifer, 2021. "Development of a Smart Manufacturing Execution System Architecture for SMEs: A Czech Case Study," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    8. Masood Fathi & Amir Nourmohammadi & Morteza Ghobakhloo & Milad Yousefi, 2020. "Production Sustainability via Supermarket Location Optimization in Assembly Lines," Sustainability, MDPI, vol. 12(11), pages 1-15, June.
    9. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.

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