4.0 Transition Methodology for Sustainable Supply Chain Management

Deniaud, Ioana; Marmier, François; Michalak, Jean-Louis

doi:10.1007/978-3-030-85914-5_66

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…The subdomains themselves have the highest number of occurrences, as can be seen from the outgoing lines. In addition, the three subdomains presented are interrelated, highlighting hybrid topics such as Supply Chain 4.0 [80,81], Logistics 4.0 [82,83], green supply chain studies [84,85], and smart and sustainable supply chain transitions [86,87]. On the other hand, from an aggregate point of view, the most important domains are those of Technologies and Operations, recording a value of 51 and 50 occurrences.…”

Section: Scope Criteria Of Mms For Scmlmentioning

confidence: 99%

“…Readiness is assessed before a process commences [73] and is often associated with the introduction of technological tools and automation, particularly in the context of Industry 4.0 [22,34,68]. On the other hand, transformation stems from the principles of sustainable development and circular economy [86,101]. Figure 12 illustrates the evolution of these concepts, with maturity being the oldest and most prevalent (90 occurrences).…”

Section: Scope Criteria Of Mms For Scmlmentioning

confidence: 99%

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Trends and Recommendations for Enhancing Maturity Models in Supply Chain Management and Logistics

Ferraro,

Leoni,

Cantini

et al. 2023

Applied Sciences

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Maturity models (MMs) are strategic tools used to assess and improve the current state of processes, objects, or people, with the goal of achieving continuous performance enhancement. While MMs are applied in various fields, their scope, design, and application criteria within Supply Chain Management and Logistics (SCML) lack comprehensive studies. This article aims to address this gap through a systematic literature review. The review analyzes 137 relevant articles using both bibliometric and content analysis techniques. The bibliometric analysis identifies major contributions, popular journals, and the classification and evolution of key keywords. The content analysis focuses on critical criteria related to the scope, design, and application of MMs. The findings reveal a growing emphasis on models assessing Industry 4.0 readiness and sustainability principles. However, several gaps are identified, including limited attention to optimizing and integrating logistic processes, underutilized and unvalidated MMs, and the absence of comprehensive improvement guidelines. Based on these trends and research gaps, this study proposes five recommendations for future developments that benefit both academics and practitioners. These recommendations aim to address the identified limitations and provide guidance for comprehensive and effective improvement strategies.

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