Lean Manufacturing in Industry 4.0
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 12897
Special Issue Editors
Interests: lean manufacturing; industry 4.0; mathematical models for production systems
Special Issue Information
Dear Colleagues,
Since the advent of the fourth industrial revolution, there has been rising interest in the relationship between Industry 4.0 and lean manufacturing. The two paradigms share the objectives of productivity and flexibility, and the literature claims that they mutually support each other. Their combination is called ‘lean automation’. The literature reports significant opportunities in the case of the joint implementation of the two paradigms, also in terms of environmental and social impact. The understanding of the integration of the new technologies of Industry 4.0 with lean manufacturing systems is still in its early days, and only a few studies are dedicated to this topic so far. On the other hand, the comprehension of lean automation’s practices, principles, and effects on companies' operations would support managers in its implementation and in achieving operational excellence, contributing to production systems’ improvement.
This Special Issue particularly looks forward to articles addressing, among other topics, the implementation of lean principles in smart factories, the synergy between lean practices and cyber-physical systems, the role of data science in waste reduction, and the challenges of workforce upskilling in the face of rapidly evolving technologies. Contributions to this Special Issue should highlight the latest advancements in lean manufacturing strategies, as well as the ongoing challenges of integrating these approaches within Industry 4.0. By examining successful implementations and addressing potential pitfalls, this Special Issue aims to provide valuable insights for practitioners and researchers seeking to optimize production processes in the era of smart manufacturing. We are interested in studies using any of the full range of qualitative and quantitative investigative methodologies.
Dr. Rossella Pozzi
Dr. Violetta Giada Cannas
Guest Editors
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Keywords
- manufacturing systems
- lean manufacturing
- operational excellence
- industry 4.0
- lean automation
- lean 4.0
- digitization
- operational performance
- data science
- smart manufacturing
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