Recent Advances in Planning and Scheduling for Supply Chain Optimization

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 114

Special Issue Editors


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Guest Editor
School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China
Interests: production scheduling; combination optimization; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
School of International Economics and Business, Nanjing University of Finance & Economics, Nanjing 210023, China
Interests: machine scheduling; approximation algorithm; process optimization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The intellectualization and greenization of supply chains are driving transformative innovations in optimization theories and operation techniques, enabling enterprises to achieve cost reduction and efficiency enhancement. Recent advancements in smart technologies (e.g., big data, cloud computing, and AI) have intensified academic and industrial focus on the optimization of planning and scheduling—the decision-making cores of supply chain management. Numerous successful applications have been presented in supply chain domains, including order processing, product manufacture, equipment assembly, warehousing and transportation, etc.

This Special Issue aims to collect up-to-date and high-quality studies incorporating novel methods on planning and scheduling in the area of supply chain optimization, as well as to promote developments and applications of operations research theory and methods in relevant fields. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Scheduling in advanced manufacturing;
  • Logistics scheduling and optimization;
  • AI-based planning and scheduling;
  • Routing optimization in distribution;
  • Data-driven production scheduling;
  • Optimization for facility location.

We look forward to receiving your contributions.

Prof. Dr. Danyu Bai
Dr. Dehua Xu
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. Mathematics 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 2600 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

  • planning and scheduling
  • production scheduling
  • logistics optimization
  • facility location
  • combination optimization
  • evolutionary computation
  • machine learning

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Published Papers

This special issue is now open for submission.
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