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1
Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges
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Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges

Chabanet, Sylvain ; Bril El-Haouzi, Hind ; Morin, Michael ; Gaudreault, Jonathan ; Thomas, Philippe

International journal of production research, 2023-04, Vol.61 (7), p.2190-2213 [Periódico revisado por pares]

London: Taylor & Francis

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2
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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3
A review of production planning and control: the applicability of key concepts to the make-to-order industry
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A review of production planning and control: the applicability of key concepts to the make-to-order industry

Stevenson, M. ; Hendry, L. C. ; Kingsman †, B. G.

International journal of production research, 2005-03, Vol.43 (5), p.869-898 [Periódico revisado por pares]

London: Taylor & Francis Group

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4
A framework for ICT-enabled real-time production planning and control
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A framework for ICT-enabled real-time production planning and control

Arica, Emrah ; Powell, Daryl J.

Advances in manufacturing, 2014-06, Vol.2 (2), p.158-164 [Periódico revisado por pares]

Heidelberg: Shanghai University

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5
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, 2024-06, Vol.62 (12), p.4331-4348 [Periódico revisado por pares]

London: Taylor & Francis

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6
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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7
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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8
Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning
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Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning

Heger, Jens ; Voss, Thomas

International journal of production research, 2023-01, Vol.61 (1), p.147-161 [Periódico revisado por pares]

London: Taylor & Francis

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9
Special issue in memory of Dr. Jean-Marie Proth (7.12.1938-17.06.2021)
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Special issue in memory of Dr. Jean-Marie Proth (7.12.1938-17.06.2021)

Chu, Chengbin ; Chu, Feng ; Dolgui, Alexandre ; Nagi, Rakesh ; Xie, Xiaolan

International journal of production research, 2024-01, Vol.62 (1-2), p.1-6 [Periódico revisado por pares]

London: Taylor & Francis

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10
Distributing decision-making authority in manufacturing - review and roadmap for the factory of the future
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Distributing decision-making authority in manufacturing - review and roadmap for the factory of the future

Antons, Oliver ; Arlinghaus, Julia C.

International journal of production research, 2022-07, Vol.60 (13), p.4342-4360 [Periódico revisado por pares]

London: Taylor & Francis

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