Special Issue "Scheduling Theory and Algorithms for Sustainable Manufacturing"
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: 30 November 2023 | Viewed by 2783
Interests: production planning; manufacturing engineering; supply chain management; mathematical programming optimizers; logistics; lean manufacturing
Interests: tactical planning; optimization
Interests: operations research; data science; healthcare; logistics
Interests: scheduling, in particular development of exact and approximate algorithms; stability investigations is discrete optimization; scheduling with interval processing times; complexity investigations for scheduling problems; train scheduling; graph theory; logistics; supply chains; packing; simulation and applications
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This Special Issue was initiated at the 10th IFAC triennial conference MIM 2022 (https://hub.imt-atlantique.fr/mim2022/) concerning the topics of combinatorial optimization and scheduling and corresponding sessions and tracks.
Following their presentation at the conference, some authors were invited to submit an extended version of their work to this Special Issue. However, the Special Issue is also open to papers that were not presented at the conference if they are in the scope of the issue.
The aim of this Special Issue is to present state-of-the art mathematical models and algorithms providing efficient solutions for practical planning and scheduling issues in sustainable manufacturing and logistics. Currently, the production and logistics systems for goods and services are faced with both production cost optimization and scarcity of resources. Scheduling plays a central role and offers the possibility to:
- Reduce production waste,
- Manage efficiently and limit the consumption of material resources and energy,
- use efficiently new energy sources, especially renewable ones.
Potential topics to be addressed in this issue on the contributions of scheduling theory and algorithm for sustainable manufacturing include, but are not limited to, the following:
- Consideration of energy constraints in scheduling and planning;
- Green scheduling approaches in Industry 4.0;
- Advanced scheduling and planning algorithms for minimization of waste;
- Contributions of scheduling and planning theory for minimization of the carbon emissions;
- Multi-objective scheduling problems taking into account the sustainability criteria.
- Exact and approximate models and methods for sustainable scheduling and planning;
- Industrial applications of advanced scheduling and planning algorithms.
Prof. Dr. Alexandre Dolgui
Prof. Dr. David Lemoine
Dr. María I. Restrepo
Prof. Dr. Frank Werner
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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.
- combinatorial optimisation
- planning and scheduling
- graph theory
- mathematical programming
- decomposition approaches
- approximation schemes
- heuristics and metaheuristics
- multicriteria optimisation