Special Issue "Advances in Smart Industrial Engineering Techniques for Optimizing and Controlling Processes"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Advanced Digital and Other Processes".

Deadline for manuscript submissions: 15 December 2022 | Viewed by 68

Special Issue Editor

Prof. Dr. Chien-Chih Wang
E-Mail Website
Guest Editor
Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 24301, Taiwan
Interests: machine learning and AI applications; process quality control and engineering optimization; machine vision and inspection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Industrial Engineering and Management (also known as Industrial Engineering or IE)  is a highly systematic and widely applicable discipline combining science, engineering, information technology, and management for the study and optimization of organization performance. To develop practical solutions for improving operational efficiency, industrial engineers need to comprehensively and systematically understand, identify, and evaluate the complex interactions between an organization's departments, units, and subsystems. Industrial engineering has been critical for productivity enhancement, total quality management, and mass production since the second industrial revolution. With the arrival and development of the Industry 4.0 era, global manufacturing is undergoing significant changes. Industrial engineering has evolved with emerging concepts and technologies, bringing new opportunities and challenges for the industrial revolution in the Industry 4.0 era.

This Special Issue focuses on using industrial engineering techniques to solve challenges associated with optimizing and controlling enterprise processes using intelligent industrial engineering techniques. Researchers are encouraged to submit manuscripts on the broad, multidisciplinary topic of IE. Areas of interest include, but are not limited to, the following:

  • Predictive maintenance, quality control, lean six sigma, and process optimization;
  • Smart manufacturing process monitoring and control;
  • Intelligent manufacturing diagnostics, prognostics, energy management, and decision support methods;
  • Operations research, scheduling, system simulation, and supply chain management;
  • Robotics and human-machine interaction;
  • Industry 3.5, Industry 4.0, and Industry 5.0.

Prof. Dr. Chien-Chih Wang
Guest Editor

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. Processes 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 2000 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

  • quality control
  • process optimization
  • smart manufacturing process monitoring and control
  • intelligent manufacturing diagnostics
  • energy management
  • decision support methods
  • system simulation
  • supply chain management
  • robotics and human-machine interaction

Published Papers

This special issue is now open for submission.
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