Advanced Applications with Mathematical Modeling in Operations and Supply Chain Management

A special issue of Mathematics (ISSN 2227-7390).

Deadline for manuscript submissions: 30 November 2024 | Viewed by 1249

Special Issue Editors


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Guest Editor
ICAM, Site of Grand Paris Sud, 77127 Lieusaint, France
Interests: sustainable supply chain; logistics and transport; simulation engineering and modelling; computer-aided tools and informational system

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Guest Editor
Faculty of Engineering, University of Deusto, Avda. Universidades, 24, 48007 Bilbao, Spain
Interests: green supply chain management; logistics and transport; production planning and control; optimisation models

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Guest Editor
Faculty of Engineering Management, Poznan University of Technology, 2 Jacka Rychlewskiego St., 60-965 Poznan, Poland
Interests: digital twins; simulation; lean; intralogistics; Industry 4.0

Special Issue Information

Dear Colleagues,

Industry 4.0 concepts are now widely used in the digital and technological changes in companies. This development in company modernization is becoming essential due to globalization and high competition of emerging countries enterprises. Indeed, new technologies such as digital twin, artificial intelligence, advanced robotics, immersive realities, big data and analytics and information systems are exploited in the company supply chain digital transformation to increase its performance. For instance, digital twin will contribute to define and test scenarios that will increase the company performance. Immersive realities will be used for defining efficient methods, models, formalisms and applications to optimise company maintenance.  Finally, artificial intelligence will be exploited to elaborate methods and models that will contribute to the company supply chain optimisation. These new technologies’ integration in the supply chain is called supply chain 4.0. The benefits of supply chain 4.0 concepts’ application in companies are amplified by integrating sustainability (as an economic, social and environmental aspect) in the company transformation.

The purpose of this Special Issue is to provide a collection of articles presenting methods, formalisms, aided tools and digital twins which contribute the company sustainable supply chain performance improvement. The focus will be on the industrial applications of the sustainable supply chain 4.0 concepts.

Dr. Paul Eric Dossou
Prof. Dr. Esther Álvarez
Prof. Dr. Pawel Pawlewski
Guest Editors

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Keywords

  • supply chain 4.0
  • supply chain optimization
  • sustainable supply chain
  • green supply chain
  • digital twin

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Published Papers (1 paper)

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31 pages, 7382 KiB  
Article
A Conceptual Framework for Optimizing Performance in Sustainable Supply Chain Management and Digital Transformation towards Industry 5.0
by Paul-Eric Dossou, Esther Alvarez-de-los-Mozos and Pawel Pawlewski
Mathematics 2024, 12(17), 2737; https://doi.org/10.3390/math12172737 - 2 Sep 2024
Viewed by 1037
Abstract
The economic growth of developed or emerging countries through globalization has prompted them to increase their supply chain performance. A large number of concepts, tools, and methodologies have been proposed in support of this performance improvement. They are mainly based on the use [...] Read more.
The economic growth of developed or emerging countries through globalization has prompted them to increase their supply chain performance. A large number of concepts, tools, and methodologies have been proposed in support of this performance improvement. They are mainly based on the use of classical optimization or enterprise modeling methods. However, environmental and social issues, not to mention digital transformation, are often ignored or not sufficiently integrated. Indeed, the world geopolitical situation, the increase in oil prices, and the commitment to protect our earth require the integration of sustainability aspects and Industry 4.0 concepts like digital twin and artificial intelligence in transforming the supply chain. This paper focuses on defining a conceptual framework to support sustainable supply chain management and digital transformation. It aims to exploit the sustainability and digital maturity of companies to transform their supply chains and enhance their performance to meet the challenges of Industry 5.0. Several practices related to sustainability, as well as two use cases on optimization and digital twin, are presented to illustrate this framework. Finally, based on the previous practices and use cases, an adapted framework for the supply chain manager to support the transition from Industry 4.0 to Industry 5.0 has been developed, as well as a performance dashboard. Full article
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