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Mathematics
Special Issues
Modeling and Optimization of Production Systems
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Modeling and Optimization of Production Systems

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

Deadline for manuscript submissions: 31 October 2024 | Viewed by 2405

Special Issue Editors

Prof. Dr. Nuno O. Fernandes

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Guest Editor
Department of Industrial Engineering and Management, Polytechnic Institute of Castelo Branco, 6000-084 Castelo Branco, Portugal
Interests: production planning and control; workload control; discrete event simulation
Dr. Luís Pinto Ferreira

E-Mail Website
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
Dr. Ana Luísa Ferreira Andrade Ramos

E-Mail Website
Guest Editor
Department of Economics, Management and Industrial Engineering and Tourism, GOVCOPP Research Unit, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: industrial engineering; modelling & simulation; model-based systems engineering; decision-support models; ergonomics
Special Issues, Collections and Topics in MDPI journals
Dr. Anabela Carvalho Alves

E-Mail Website
Guest Editor
Department of Production and Systems, University of Minho, 4804 - 533 Guimarães, Portugal
Interests: lean thinking; design and operation of production systems; engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Production systems play a crucial role in ensuring the efficient and effective delivery of goods and services. The optimization of these systems is essential to enhance performance, reduce waste, and increase productivity. This Special Issue focuses on the latest developments and advancements in the modeling and optimization of production systems to support decision-making and to establish and develop knowledge.

The topics of interest include the mathematical modeling and simulation of production systems, optimization of production processes, lean and process improvement, supply chain management and optimization, quality control and assurance, performance measurement and evaluation, sustainable production systems, circular economy, and big data analytics and machine learning in production systems.

We invite researchers, academics, and practitioners to submit their original research articles, reviews, or case studies on the topics of interest.

Prof. Dr. Nuno O. Fernandes
Dr. Luís Pinto Ferreira
Dr. Ana Luísa Ferreira Andrade Ramos
Dr. Anabela Carvalho Alves
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. Mathematics 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 2600 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

  • mathematical modeling
  • simulation
  • optimization
  • lean manufacturing
  • circular economy
  • big data and machine learning

Published Papers (1 paper)

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Research

13 pages, 2530 KiB  
Article
A Simulation Study of Aircraft Boarding Strategies
by Hélio Moreira, Luís P. Ferreira, Nuno O. Fernandes, Francisco J. G. Silva, Ana L. Ramos and Paulo Ávila
Mathematics 2023, 11(20), 4288; https://doi.org/10.3390/math11204288 - 14 Oct 2023
Cited by 1 | Viewed by 1548
Abstract
To ensure the safety of passengers concerning virus propagation, such as COVID-19, and keep the turnaround time at low levels, airlines should seek efficient aircraft boarding strategies in terms of both physical distancing and boarding times. This study seeks to analyze the impact [...] Read more.
To ensure the safety of passengers concerning virus propagation, such as COVID-19, and keep the turnaround time at low levels, airlines should seek efficient aircraft boarding strategies in terms of both physical distancing and boarding times. This study seeks to analyze the impact of different boarding strategies in the context of the International Air Transport Association’s recommendations during the pandemic to reduce interference and physical contact between passengers in airplanes. Boarding strategies such as back-to-front, outside-in, reverse pyramid, blocks, Steffen, and modified optimal have been tested in this context. This study extends the previous literature using discrete event simulation to evaluate the impact of the occupation of the middle seat by family members only. This study also analyses the impact of having passengers carrying hand luggage and priority passengers on the performance of these strategies concerning boarding times. In general, the simulation results revealed a 15% improvement in boarding times when the reverse pyramid strategy is used compared to a random strategy, which essentially results from a reduction in the boarding interferences between passengers. The results also show that Steffen’s strategy is the best performing, while the blocks strategy results in the worst performance. This study has practical implications for airline companies concerning both operation efficiency and passenger safety. Full article
(This article belongs to the Special Issue Modeling and Optimization of Production Systems)
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