Mathematics Applied to Manufacturing and Logistics Systems

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 25 December 2025 | Viewed by 1989

Special Issue Editors


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Guest Editor
Department of Mechanical Engineering, ISEP–School of Engineering, Polytechnic of Porto, 4200-072 Porto, Portugal
Interests: tribology; coatings; manufacturing processes
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical Engineering, ISEP–School of Engineering, Polytechnic of Porto, 4200-465 Porto, Portugal
Interests: lean manufacturing; manufacturing systems; discrete event simulation; simulation and optimization
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mathematics of ISEP—School of Engineering, Polytechnic of Porto, Porto, Portugal
Interests: industrial and applied mathematics; computer science; statistical data analysis; simulation and optimization; numerical matrix analysis; STEM education; online and distance mathematics education

Special Issue Information

Dear Colleagues,

This industry and the logistical operations surrounding this sector are of vital importance for the world’s economy, where competitiveness is fierce and the fight for the survival of companies hinges on innovation in terms of products and processes, as well as companies remaining at the forefront of products sought out by the market and at prices the market is willing to pay. Studies focusing on optimizing processes and operations have received particular attention from researchers as there is a pronounced lack of new solutions emerging from the industry. Mathematics plays a crucial role in this aspect, as optimization has always involved, and will certainly continue to involve, increasingly evolving mathematical models seeking to present new solutions to the industry, with ever-advancing rates of customization taking into account the specific challenges and needs of each industrial sector.

Based on these needs, this Special Issue aims to gather together highly innovative contributions in the area of mathematical modeling that responds in both more generic and more targeted ways to concrete challenges faced by the industry in its operations, which demonstrably represent added value in terms of global knowledge. Thus, works with different typologies will be accepted, including reviews of the state of the art, development of new models with a view to solving generic or specific problems faced by the industry, as well as case studies duly supported by theory and displaying innovation in the presented methodology. The aim is to concentrate a collection of contributions of high scientific quality that could form the basis for a future book that contains the most recent mathematical developments in the field of optimizing processes and operations across the most diverse sectors of industry.

Dr. Francisco J. G. Silva
Prof. Dr. Luís Pinto Ferreira
Dr. Isabel Cristina Mendes Pinto
Guest Editors

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Keywords

  • mathematical models
  • processes optimization
  • industrial management
  • logistics optimization
  • sustainability
  • costs reduction
  • quality optimization
  • process flow optimization
  • internal logistics optimization
  • external logistics optimization
  • optimization algorithms
  • industrial operations
  • robot path optimization
  • information flow optimization
  • optimization of the industry digitalization
  • case studies

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Published Papers (1 paper)

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Research

17 pages, 2553 KiB  
Article
Pallet Loading Problem: A Case Study in the Automotive Industry Applying a Simplified Mathematical Model
by Naiara P. V. Sebbe, Francisco J. G. Silva, Alcinda M. S. Barreiras, Isabel M. Pinto, Rita C. M. Sales-Contini, Luis P. Ferreira and Ana B. M. Machado
Mathematics 2024, 12(7), 984; https://doi.org/10.3390/math12070984 - 26 Mar 2024
Viewed by 1297
Abstract
Logistics and the supply chain are areas of great importance within organizations. Due to planning gaps, an increase in extra and unnecessary transport costs is usually observed in several companies due to their commercial commitments and need to comply with the delivery time [...] Read more.
Logistics and the supply chain are areas of great importance within organizations. Due to planning gaps, an increase in extra and unnecessary transport costs is usually observed in several companies due to their commercial commitments and need to comply with the delivery time and the batch quantity of products, leading to a negative economic impact. Thus, the objective of this work was to adjust an optimization model to maximize the shipments usually carried out by the companies. To validate the model, an automotive components manufacturer was selected, allowing us to apply the model to a real case study and evaluate the advantages and drawbacks of this tool. It was found that the company to validate the model exports most of its products, and most pallets sent are not fully optimized, generating excessive expense for the company in terms of urgent transport. To solve this problem, two mathematical optimization models were used for the company’s current reality, optimizing the placement of boxes per pallet and customer. With the use of the new tool, it was possible to determine that five pallets should be sent to the customer weekly, which correspond to their needs, and that have the appropriate configurations so that the pallet is sent completely. Full article
(This article belongs to the Special Issue Mathematics Applied to Manufacturing and Logistics Systems)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Mixed-integer optimization for ship retrofitting in green logistics
Authors: Shuaian Wang
Affiliation: Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University,Hung Hom, Kowloon, Hong Kong

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