Mathematical Applications in Industrial Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".
Deadline for manuscript submissions: 30 April 2024 | Viewed by 3359
Special Issue Editors
Interests: reliability analysis; life cycle sustainability assessment; quality 4.0; data analysis; statistical data analysis; design of experiments; bayesian analysis; bayesian networks; machine learning
Interests: mathematical programming (linear, integer, and stochastic) and dynamic programming algorithm development (optimization, heuristic, and hybrid algorithms); statistical data analysis and data mining; typical implementation areas: (a) logistics, supply chain management, and network optimization; (b) road safety; (c) fleet routing and scheduling; (d) performance measurement;(e) risk management; (f) production planning; and (g) educational
Special Issue Information
Dear Colleagues,
Industrial engineering is one of the primary fields to utilize mathematical models in research and practice. Mathematical methods in industrial engineering are essential tools to solve complex problems in areas such as operations research, reliability, sustainability, logistics, and supply chain management. To understand situations of interest in the field of industrial engineering, it is necessary to develop multifaceted mathematical formulations and thus obtain an understanding of and solution to complex applied problems.
We are pleased to invite you to contribute to this Special Issue on “Mathematical Applications in Industrial Engineering”. This Special Issue serves as a forum for articles evaluating the impact of mathematical models in several industrial engineering fields. Papers on applications of mathematical models to real-life industrial engineering problems are welcome. Application papers should cover the application of mathematical models accompanied by solutions to a particular problem. Potential topics include but are not limited to:
- Operations research;
- Optimization;
- Statistics in production, manufacturing, and logistics;
- Reliability engineering;
- Soft computing;
- Machine learning, artificial intelligence, and fuzzy techniques;
- Mathematical programming;
- Data mining;
- Logistics and supply chain management;
- Industry 4.0 and Quality 4.0.
Dr. Manuel Ivan Rodriguez Borbon
Dr. Hansuk Sohn
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.