Design of Sustainable Supply Chains and Industrial Processes
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 3496
Editors
Interests: supply chain; industrial engineering; healthcare and hospital logistics; urban freight transport; modelling; transport and mobility
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Industrial organizations create value through internal industrial processes and deliver it via external supply chains. The performance and competitiveness of these organizations depend largely on the effectiveness of both dimensions: industrial processes—which transform inputs into finished products—and supply chains—which manage the flow of goods, services, and information across various stakeholders.
Designing and enhancing these systems requires comprehensive and structured frameworks that explain how industrial processes and supply chains operate, interact, and respond to dynamic environments. These frameworks not only aid in analyzing and diagnosing existing systems, but also promote performance enhancement, risk mitigation, and strategic alignment with emerging trends such as Industry 4.0 and Industry 5.0.
This Special Issue, entitled “Design of Sustainable Supply Chains and Industrial Processes”, aims to gather high-quality research that explores conceptual, methodological, and application-oriented contributions in this domain. We welcome the submission of original research articles and reviews that offer novel insights into modelling, evaluating, and enhancing industrial processes and supply chain systems through structured frameworks. The scope of this Special Issue includes, but is not limited to, the following topics:
- Frameworks for the performance measurement and assessment of industrial processes and supply chains;
- Frameworks identifying the key drivers, enablers, and risk factors impacting the efficiency of processes and supply chains;
- Design frameworks supporting performance improvement strategies and continuous optimization;
- Frameworks incorporating digitalization, automation, and sustainability in the context of Industry 4.0 and Industry 5.0;
- Case studies and applications of framework-based approaches in industrial and logistics systems.
We look forward to receiving your contributions to this Special Issue.
Sincerely,
Prof. Dr. Fouad Jawab
Dr. Youness Frichi
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- modeling
- manufacturing systems
- optimization
- performance
- artificial intelligence
- sustainability
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