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Smart Production Planning and Control Model

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Perspectives and Trends in Education and Technology

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 256))

Abstract

Industry 4.0 concept is based on digitalization, networking, and value-creation. The Industry 4.0 efforts comprise sensing, connectiveness, systems integration, advanced automation, manufacturing data-driven, and cyber-physical production system in the manufacturing systems-context. The digital capabilities and resources provided by Industry 4.0 need to be coordinating for value-creation. For this purpose, the manufacturing systems concentrate these efforts around Production Planning and Control Function (PPC) and their systems. PPC function is considered the “brain” of manufacturing. PC function is considered the “brain” of manufacturing. Therefore, the digitalization and efforts toward Industry 4.0 are mandatory when PPC’s role is providing to manufacturing companies their performance goals and competitive advantage to cope with digital business strategies. We carry out a literature survey of over 50 journal articles to determine the core Industry 4.0 technologies, key-factors and resources, and input/output capabilities, which support a smart PPC status. Therefore, our results found the main five Industry 4.0 ecosystems for Smart PPC: Industrial Internet of Things, industrial big data and analytics/artificial intelligence, cloud manufacturing, ICTs and accessory technologies, and cyber-physical production systems. We establish 36 resources/key-factors and ten input/output capabilities along with a digital thread that links these Industry 4.0 technologies’ ecosystems. In last, we develop a technological relationship model for smart PPC based on these resources and capabilities provided by the five Industry 4.0 technologies spread over ten activities in three PPC levels: aggregate planning, detailed planning, and production control.

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Acknowledgements

This work is financed by Portuguese national funds through FCT—Fundação para a Ciência e Tecnologia, under the project UIDB/05422/2020.

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Authors and Affiliations

  1. Federal University of São Carlos, São Carlos, SP, 13565-905, Brazil

    Adauto Bueno, Moacir Godinho Filho & Mario Callefi

  2. Polytechnic of Porto, CEOS.PP, 4465-004, S. Mamede Infesta, Portugal

    João Vidal Carvalho

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  1. Adauto Bueno
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  2. Moacir Godinho Filho
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  4. Mario Callefi
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Correspondence to Adauto Bueno .

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Editors and Affiliations

  1. Polytechnic Institute of Porto, Porto, Portugal

    Anabela Mesquita

  2. Polytechnic Institute of Porto, Porto, Portugal

    António Abreu

  3. Polytechnic Institute of Porto, Porto, Portugal

    João Vidal Carvalho

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Bueno, A., Filho, M.G., Carvalho, J.V., Callefi, M. (2022). Smart Production Planning and Control Model. In: Mesquita, A., Abreu, A., Carvalho, J.V. (eds) Perspectives and Trends in Education and Technology. Smart Innovation, Systems and Technologies, vol 256. Springer, Singapore. https://doi.org/10.1007/978-981-16-5063-5_21

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