Computational Intelligence in Supply Chain Management
A special issue of Administrative Sciences (ISSN 2076-3387).
Deadline for manuscript submissions: closed (1 October 2016) | Viewed by 871
Special Issue Editors
Interests: computational intelligence; optimization simulation; multicriteria decision analysis; logistics and supply chain management; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
Interests: optimization; metaheuristics; robotics; artificial neural networks
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
During the last two decades, Supply Chain Management (SCM) has matured into one of the most important disciplines in business administration.
During that time, new problems and challenges have been faced, while, at the same time, the methodological tool kit was enlarged and improved. In particular, quantitative methods played a major role for tackling problems that could hardly be handled in a reasonable way before. A significant role in that process was taken by methods from the field of Computational Intelligence, which provided novel approaches to solve hard decision and optimization problems related to SCM applications. For instance, areas such as production planning and lot-sizing, inventory management, scheduling, and transportation planning benefitted essentially from Computational Intelligence approaches. In the line with that research, the Special Issue aims at bringing together original research in Supply Chain Management, which benefits from new quantitative approaches, especially methods from the field of Computational Intelligence:
Potential topics should include, but are not limited to:
- Evolutionary Computation in SCM
- Swarm Intelligence in SCM
- Fuzzy approaches for SCM
- Neural networks and machine learning in SCM
- CI in production planning and lot sizing
- CI in inventory management
- CI in transportation planning
- CI in scheduling
- CI in inventory routing
- CI in location planning and network design
Thomas Hanne
Suash Deb
Simon Fong
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 papers will be 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. Administrative Sciences is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. 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.
