Mathematical Methods and Operations Research in Planning, Scheduling and Supply Chain
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 1222
Special Issue Editors
Interests: operations research; mathematical modelling; optimization; industrial engineering; electrical engineering
Special Issues, Collections and Topics in MDPI journals
Interests: combinatorial optimization; heuristics and meta-heuristics design; scheduling and applications; mathematical modelling of coupled problems; logistics and production; optimization; supply chain management
Special Issue Information
Dear colleagues,
Mathematical methods and operation research tools have been useful over recent decades to solve many industrial problems, such as supply chain design, planning or scheduling issues. Through the development of new technologies, the industries of today are experiencing the fourth revolution, referred to as Industry 4.0, and are anticipating the fifth revolution, which will allow us to merge the power of smart, precise and accurate machinery with human creativity and ingenuity.
This reality has a significant impact on industrial management processes; as long as people are working alongside robots and smart machines, we will need active, efficient and agile tools to take advantage of the technologies and intelligence integrated throughout the supply chain.
This Special Issue aims to present recent advances in the following topics:
- Scheduling optimization under multiple industrial constraints;
- Supply chain operations management;
- Production planning in a sustainable supply chain;
- Planning optimization under uncertainties and human aims considerations;
- Emergency/e-commerce/reverse/green/metropolitan/5.0 logistics;
- Scheduling in sustainable manufacturing;
- Optimal decisions, hybrid optimization and multi-objective optimization;
- Sustainable logistics systems design;
- Modelling and optimization of complex industrial processes;
- Digital technologies support for logistics and supply chain management adaptation.
Dr. Christophe Sauvey
Dr. Wajdi Trabelsi
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
- operations research
- logistics management
- supply chain management
- planning under carbon footprint constraints
- green manufacturing
- Industry 5.0
- mathematical methods
- optimization
- Internet of Things
- population-based intelligent algorithms
