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1
A conceptual framework for smart production planning and control in Industry 4.0
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A conceptual framework for smart production planning and control in Industry 4.0

Cañas, Héctor ; Mula, Josefa ; Campuzano-Bolarín, Francisco ; Poler, Raul

Computers & industrial engineering, 2022-11, Vol.173, p.108659, Article 108659 [Periódico revisado por pares]

Elsevier Ltd

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The theory and practice of workload control: A research agenda and implementation strategy
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The theory and practice of workload control: A research agenda and implementation strategy

Stevenson, Mark ; Huang, Yuan ; Hendry, Linda C. ; Soepenberg, Erik

International journal of production economics, 2011-06, Vol.131 (2), p.689-700 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Approaches of production planning and control under industry 4.0: A literature review
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Approaches of production planning and control under industry 4.0: A literature review

Herrmann, Jan-Phillip ; Tackenberg, Sven ; Padoano, Elio ; Gamber, Thilo

Journal of industrial engineering and management, 2022-01, Vol.15 (1), p.4-30

Barcelona: OmniaScience

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4
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
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Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

Usuga Cadavid, Juan Pablo ; Lamouri, Samir ; Grabot, Bernard ; Pellerin, Robert ; Fortin, Arnaud

Journal of intelligent manufacturing, 2020-08, Vol.31 (6), p.1531-1558 [Periódico revisado por pares]

New York: Springer US

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5
Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study
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Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study

Oluyisola, Olumide Emmanuel ; Bhalla, Swapnil ; Sgarbossa, Fabio ; Strandhagen, Jan Ola

Journal of intelligent manufacturing, 2022, Vol.33 (1), p.311-332 [Periódico revisado por pares]

New York: Springer US

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6
Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts
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Assessing the performances of a novel decentralised scheduling approach in Industry 4.0 and cloud manufacturing contexts

Grassi, Andrea ; Guizzi, Guido ; Santillo, Liberatina Carmela ; Vespoli, Silvestro

International journal of production research, 2021-10, Vol.59 (20), p.6034-6053 [Periódico revisado por pares]

London: Taylor & Francis

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7
The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study
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The fit of Industry 4.0 applications in manufacturing logistics: a multiple case study

Strandhagen, Jo Wessel ; Alfnes, Erlend ; Strandhagen, Jan Ola ; Vallandingham, Logan Reed

Advances in manufacturing, 2017-12, Vol.5 (4), p.344-358 [Periódico revisado por pares]

Shanghai: Shanghai University

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8
Reinforcement learning applied to production planning and control
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Reinforcement learning applied to production planning and control

Esteso, Ana ; Peidro, David ; Mula, Josefa ; Díaz-Madroñero, Manuel

International journal of production research, 2023-08, Vol.61 (16), p.5772-5789 [Periódico revisado por pares]

London: Taylor & Francis

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9
Designing distributed decision-making authorities for smart factories - understanding the role of manufacturing network architecture
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Designing distributed decision-making authorities for smart factories - understanding the role of manufacturing network architecture

Antons, Oliver ; Arlinghaus, Julia C.

International journal of production research, 2024-01, Vol.62 (1-2), p.204-222 [Periódico revisado por pares]

London: Taylor & Francis

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10
Digital twin-enabled process control in the food industry: proposal of a framework based on two case studies
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Digital twin-enabled process control in the food industry: proposal of a framework based on two case studies

Tancredi, Giovanni Paolo Carlo ; Bottani, Eleonora ; Vignali, Giuseppe

International journal of production research, 2023-09, p.1-18 [Periódico revisado por pares]

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