Workload Control and Order Release: Simulation and Optimization

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 537

Special Issue Editors


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Guest Editor
School of Engineering, University of Basilicata, 85100 Potenza, Italy
Interests: design and optimization of manufacturing systems: flexible manufacturing systems, reconfigurable manufacturing systems, and production lines; simulation to support the control and optimization of manufacturing systems; game theory models to support reconfigurable manufacturing systems and distributed production planning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Systems, Production, and Logistics Management, University of Innsbruck, Innrain 52, 6020 Innsbruck, Austria
Interests: manufacturing planning and control: simulation modeling, workload control, optimization models, forecasting, regression, machine learning, and behavioral operations management

Special Issue Information

Dear Colleagues,

This Special Issue is dedicated to the latest finding on workload control (WLC) and order release in order to provide a simple and effective production planning and control (PPC) solution that is especially, but not exclusively, suitable for small- and medium-sized make-to-order (MTO) companies. The main limits of the literature can be summarized as the static computation of the workload, and that it does not take unforeseen events into account; the cases investigated are limited to directional routing of the jobs and classical manufacturing systems. Furthermore, several WLC models have evolved that include optimization models on a mid-term planning level. The main issues with these models are their parameterization, and most cases are limited to the semiconductor industry.

The Fourth Industrial Revolution, (alternatively known as Industry 4.0) and additive manufacturing moving towards innovative models. The goal is to collect a series of works that can summarize the latest trend in the field of workload control and order release. For this Special Issue, there will be special focus on improving the responsiveness and the introduction of innovative models related do Industry 4.0, additive manufacturing, big data, etc.

All experts are invited to contribute to delineating the future of WLC by submitting their contributions.

Prof. Dr. Paolo Renna
Assoc. Prof. Stefan Haeussler
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. Applied Sciences 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 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.

Keywords

  • work load control
  • order release
  • Industry 4.0
  • additive manufacturing
  • responsiveness
  • simulation
  • clearing function

Published Papers

There is no accepted submissions to this special issue at this moment.
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