Manuscript Topics

The optimization of industrial processes has been strongly supported by mathematical models over time. This support has been registered both through increasingly elaborate statistical techniques deeply used in continuous improvement processes, or optimization of manufacturing parameters, such as Taguchi techniques and ANOVA analyses. In addition, mathematical models has also played an extremely important role in establishing the best parameters in order to obtain the best results satisfying one or more objectives. In fact, the industry has systematically resorted to mathematical models that allow optimizing not only the manufacturing processes themselves, but also the entire logistics chain that involves the acquisition of raw materials and the delivery of the manufactured products. The critical analysis of manufacturing processes and logistical operations also has an ally in mathematics, as it allows for the processing of data in a systematic and expeditious way.

This Special Issue aims to collect high quality works in the area of the development of mathematical models aimed at optimizing production processes, or operations around them, namely in internal or external logistics. The articles must have an introduction that contextualizes the work, its novelty and the way it is structured. This introduction should be followed by a Literature Review that theoretically supports the developments carried out. Afterwards, the materials and methods used must be described, thus allowing this methodology to be adopted in the future in other works, and simultaneously allowing the reproduction of the reasoning by other researchers interested in the area. In the methodology, explanations about the reasoning followed are vital. Then, the results must be carefully presented, using text, tables and diagrams that allow, in a non-monotonous way, to follow the development of the work. After the results, a discussion section should follow, where the results obtained must be compared with others previously obtained, clearly explaining the advantages and limitations of the new model developed. Finally, the conclusions should present, in a concise but clear way, what were the objectives of the work, and everything that was gained through its development, highlighting again why this work is truly innovative.

We hope to bring together in this Special Issue works that constitute a true scientific evolution in the field of mathematical models for the optimization of manufacturing processes and related operations.

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