Production Planning and Scheduling in Steel Industry
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 477
Special Issue Editors
Interests: production planning and control; production scheduling in the steel industry; quantitative methods in management
Interests: operations management in the steel industry; supply chain management; sustainability and circular economy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Production planning and scheduling is an area of research with a long-standing tradition that provides a variety of concepts and methods for solving practical problems. In process industries especially, with the steel industry as one important representative, operations research models that are an integral part of this research tradition are of particular importance due to the high complexity and the relatively clear structure of the problems. Other quantitative decision-support tools, such as business analytics and artificial intelligence techniques, are increasingly important in the digitization era we are presently experiencing. While some production planning and scheduling problems in the steel industry have attracted a number of researchers, other topics are clearly under-researched (e.g., integrated scheduling of continuous casting and hot rolling). On the one hand, this discipline has a lot to offer to practitioners; meanwhile, on the other hand, more research is urgently needed.
Metals is a journal that mainly presents technical topics; this defines its audience. In the Guest Editors’ experience, technical experts in the steel industry and similar industries have high expertise in this area and contribute to production planning and control in the companies; however, they are often not familiar with today’s planning concepts and methods, particularly with mathematical programming and the related decision-support tools. The aim of this Special Issue is to reach this audience and to demonstrate the contributions which operations researchers and production planning experts can make in solving their problems. We observe that today’s challenges, from the increasing competitiveness of the markets to the pressure resulting from the carbon dioxide discussion, motivate companies to question their processes, including production planning and control. Therefore, we invite the submission of high-quality papers that demonstrate the applicability of quantitative decision-support methods for production planning and scheduling in the steel industry.
Prof. Dr. Hubert Missbauer
Prof. Dr. Thomas Spengler
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. Metals 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 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
- production planning and control
- scheduling
- steel industry
- mathematical programming
- artificial intelligence
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