Diffusion of Knowledge in the Supply Chain over Thirty Years - Thematic Areas and Sources of Publications

Maryniak, Anna; Bulhakova, Yuliia; Lewoniewski, Włodzimierz; Bal, Monika

doi:10.1007/978-3-030-59506-7_10

Cited by 2 publications

(2 citation statements)

References 37 publications

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“…The SC is a conceptual realm that has been approached from many different angles with more than 50,000 entries in Scopus in the past decade alone. In an attempt to identify all those trends, Maryniak et al [54] diagnose which the dominant SC topic areas are in the last three decades. However, hardly any literature has been identified that simultaneously addresses the MPS problem in the SC from the ZDM perspective and with the joint support of DT and ML technologies.…”

Section: Literature Searchmentioning

confidence: 99%

Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Serrano-Ruiz

Mula

2021

Computers

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Risks arising from the effect of disruptions and unsustainable practices constantly push the supply chain to uncompetitive positions. A smart production planning and control process must successfully address both risks by reducing them, thereby strengthening supply chain (SC) resilience and its ability to survive in the long term. On the one hand, the antidisruptive potential and the inherent sustainability implications of the zero-defect manufacturing (ZDM) management model should be highlighted. On the other hand, the digitization and virtualization of processes by Industry 4.0 (I4.0) digital technologies, namely digital twin (DT) technology, enable new simulation and optimization methods, especially in combination with machine learning (ML) procedures. This paper reviews the state of the art and proposes a ZDM strategy-based conceptual framework that models, optimizes and simulates the master production schedule (MPS) problem to maximize service levels in SCs. This conceptual framework will serve as a starting point for developing new MPS optimization models and algorithms in supply chain 4.0 (SC4.0) environments.

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Section: Literature Searchmentioning

confidence: 99%

Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Serrano-Ruiz

Mula

2021

Computers

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“…In any case, the SC is a conceptual framework that has been approached from many different angles and has had more than 50,000 entries in Scopus in the past decade alone. In an attempt to identify each trend, Maryniak et al [12] diagnose the dominant SC topic areas in the last three decades.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Twin for Supply Chain Master Planning in Zero-Defect Manufacturing

Serrano

Mula

Poler

2021

IFIP Advances in Information and Communication Technology

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Recently, many novel paradigms, concepts and technologies, which lay the foundation for the new revolution in manufacturing environments, have emerged and make it faster to address critical decisions today in supply chain 4.0 (SC4.0), with flexibility, resilience, sustainability and quality criteria. The current power of computational resources enables intelligent optimisation algorithms to process manufacturing data in such a way, that simulating supply chain (SC) planning performance in real time is now possible, which allows relevant information to be acquired so that SC nodes are digitally interconnected. This paper proposes a conceptual framework based on a digital twin (DT) to model, optimise and prescribe a SC's master production schedule (MPS) in a zero-defect environment. The proposed production technologies focus on the scientific development and resolution of new models and optimisation algorithms for the MPS problem in SC4.0.

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Diffusion of Knowledge in the Supply Chain over Thirty Years - Thematic Areas and Sources of Publications

Cited by 2 publications

References 37 publications

Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Smart Master Production Schedule for the Supply Chain: A Conceptual Framework

Digital Twin for Supply Chain Master Planning in Zero-Defect Manufacturing

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