Global Supply Chain Management for Sustainable Organizational Performance
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 1501
Special Issue Editors
Interests: supply chain management; Industry 4.0; operations management; Quality 4.0; lean six sigma; reliability engineering
Interests: lean six sigma; quality; data analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Global supply chain management aims to improve efficiency, achieve sustainable organizational performance, and enhance profitability for suppliers, manufacturers, logistics providers, and warehouses. Organizations in the industry are preparing for the challenges of leveraging advanced technologies and integrating industrial engineering tools and methods for sustainable performance, improving efficiency, maintaining high quality levels and improved customer satisfaction, and achieving desired value and optimized processes. Opportunities for research on the supply chain extend to the study of logistics, inventory management, and warehousing optimization, as well as the use of data analytics, artificial intelligence, and other advanced tools and technologies to optimize the supply chain process and improve its performance.
This special edition of Sustainability seeks contributions from researchers and practitioners in global supply chains. Topics include, but are not limited to:
- Critical success factors for implementing frameworks and methodologies for global supply chain management.
- Integration of Industry 4.0 into global and sustainable supply chain processes.
- Impact of the human factor on the sustainability of supply chain management.
- Supply chain 4.0: challenges and applications.
- Artificial intelligence and advanced technologies in supply chain management.
- Smart warehouse management, logistics, and transportation.
- Critical success factors for implementing AI and other digital technologies.
- Organizational readiness for AI and smart supply chain adoption.
- Case studies, practical applications, and best practices that allow readers to apply AI tools to solve actual supply chain problems and achieve sustainability in the organization.
In addition, we are seeking high-quality articles emphasizing strategic support, warehouse optimization, big data and data-driven strategic decision-making, and organizational readiness for global supply chain performance.
Prof. Dr. Ahmad K. Elshennawy
Prof. Dr. Elizabeth Cudney
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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
- supply chain management
- artificial intelligence
- sustainability
- sustainable implementation
- supply chain 4.0
- best practices
- smart warehousing
- organizational performance
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