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Optimization of Scheduling Problem and Supply Chain Management

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 March 2027 | Viewed by 377

Editors

Department of Economics, Management and Industrial Engineering and Tourism, University of Aveiro, Campo Universitário De Santiago, 3810-193 Aveiro, Portugal
Interests: operational research; vehicle routing problems; 2D and 3D-packing problems; production planning and control

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Guest Editor
Faculty of Engineering Economics and Management, Riga Technical University, Riga, Latvia
Interests: circular economy; industrial symbiosis; sustainability; production and consumption; change in consumer behaviour; education for sustainable development; digitalisation; project management; operational management

Special Issue Information

Dear Colleagues,

This Special Issue aims to gather scientific contributions that explore innovative optimisation methods and applications in scheduling problems and supply chain management. Both theoretical and applied works are welcome, including approaches based on mathematical models, metaheuristics, hybrid algorithms, artificial intelligence and machine learning, with a focus on improving efficiency, cost, sustainability and resilience of operations. Topics of interest include, but are not limited to, the following: production and operations scheduling; planning and optimisation of routes and logistics; inventory management and demand planning; multi-objective optimisation; resilience and robustness in supply chains; industrial applications and case studies. We invite researchers and practitioners to submit original papers that advance methodological and practical knowledge in the field.

Dr. Ana Moura
Prof. Dr. Tatjana Tambovceva
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. Applied Sciences 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

  • scheduling optimisation
  • supply chain management
  • production planning
  • inventory control
  • vehicle routing
  • heuristics and metaheuristics
  • artificial intelligence/machine learning
  • sustainability and resilience

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Published Papers

This special issue is now open for submission.
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