Advanced Methodologies for Lean and Green Production
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 2516
Special Issue Editor
Interests: product development; product design and development; design engineering; mechanical processes; creativity and innovation; sustainability; optimization; production; production engineering; operations management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Lean-and-green production principles and their deployment tactics constitute a vital part of modern improvement initiatives in several areas of manufacturing. For this Special Issue of Applied Sciences, entitled ‘Advanced Methodologies for Lean and Green Production’, we solicit articles that focus on novel methods that can assist us toward attaining greener operations and leaner processes.
Therefore, the scope of this Special Issue is broad enough to include new improvement methodologies that provide decision-making support to engineers/professionals who seek to design and develop leaner and greener processes. Novel mathematical techniques or computational models that provide faster, robust, and convenient predictions to complex production problems are desirable as long as they are demonstrated on real data-centric case studies. The empirical modeling effort should implement modern statistical, evolutionary/quantum computing, and artificial intelligence tools so as to promote rapid and practical results in reducing wastes, curtailing lead times, and lowering costs. Contributions on state-of-the-art lean-and-green re-engineering approaches are also welcome. However, they should be accompanied by a detailed case study that places emphasis on the critical innovation opportunities and their respective improvement accomplishments. Technological advances that involve modern operations in the Industry 4.0 era consolidate new knowledge and, therefore, are particularly relevant to this Special Issue.
Dr. George J. Besseris
Guest Editor
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Keywords
- lean manufacturing
- green production
- lean optimization techniques
- green improvement methods
- novel green estimators
- novel lean estimators
- data-driven lean engineering studies
- concurrent lean and green statistical engineering
- data-driven life-cycle improvement
- green process improvement
- lean performance optimization
- lean-and-green improvement in additive manufacturing
- lean in big data
- greener processes in industry 4.0
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