Dear Colleagues,

Following the success of the previous Special Issue, “Production Scheduling and Optimization Control on Advanced Manufacturing” (for more details, see the MDPI website: https://www.mdpi.com/si/136399), we decided to organize a second edition of this Special Issue.

Advances in smart technologies, such as industrial big data, the Internet of Things and cloud computing, enable manufacturing to achieve intellectualization, greenization, and customization. Therefore, academia and industry have been paying increasing attention to achieving decision-making optimization with production scheduling and optimization control, which are the cores of intelligent production. Recently, many successful applications have been presented in advanced manufacturing processes, including product manufacture, equipment assembly, order processing, warehousing and transportation, etc.

This Special Issue aims to collect up-to-date and high-quality studies in the area of advanced manufacturing, with novel methods of production scheduling and optimization control, and to promote developments and applications of optimization theory and methods in relevant fields. In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

• Production scheduling in advanced manufacturing;
• Optimization control in industrial production;
• Reinforcement learning-based production optimization;
• Routing optimization in product distribution;
• Data-driven production process optimization;
• Optimization for industrial facility location.

We look forward to receiving your contributions.

Prof. Dr. Danyu Bai
Prof. Dr. Xin Chen
Dr. Dehua Xu
Dr. Jedrzej Musial
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. 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 2400 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.

• production scheduling
• optimization control
• routing optimization
• facility location
• evolutionary computation
• intelligent algorithm
• machine learning
• advanced manufacturing

• Production Scheduling and Optimization Control on Advanced Manufacturing in Processes (16 articles)