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Mathematics
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Multi-criteria Optimization Models and Methods for Smart Cities
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Multi-criteria Optimization Models and Methods for Smart Cities

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 6527

Special Issue Editors

Prof. Dr. Bartosz Sawik

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Guest Editor
Department of Business Informatics and Engineering Management, AGH University of Krakow, Krakow 30-059, Poland; Department of Statistics, Computer Science and Mathematics, Public University of Navarre, Pamplona 31006, Spain; Haas School of Business, University of California at Berkeley, Berkeley, CA 94720, USA.
Interests: operations engineering; multi-criteria optimization; decision sciences; green vehicle routing problems; portfolio optimization; computer science; conditional value-at-risk; logistics; supply chain; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Dr. Elena Pérez-Bernabeu

E-Mail Website
Guest Editor
Department of Applied Statistics, Operations Research and Quality, Universitat Politècnica de València, 03801 Alcoy, Spain
Interests: operations engineering; multi-criteria optimization; decision sciences; green vehicle routing problems; portfolio optimization; computer science; conditional value-at-risk; logistics; supply chain; cybersecurity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Multi-criteria optimization models and methods for smart cities aim to enhance urban efficiency and sustainability by integrating diverse factors. These models consider multiple criteria, such as economic, environmental, and social dimensions, to optimize city planning and management. They leverage advanced algorithms and data analytics to process vast amounts of information, offering decision makers with insights into complex urban challenges. By prioritizing criteria like energy efficiency, transportation, and social equity, these models help design resilient and intelligent urban systems. Through a holistic approach, multi-criteria optimization contributes to the development of smarter cities that are not only technologically advanced but also inclusive, environmentally conscious, and economically viable.

The purpose of this Special Issue is to gather a collection of articles which reflect on the latest developments in mathematical programming methods of operations research for multi-criteria decision-making processes for different fields of multi-criteria optimization approaches, models, applications, and techniques. Submissions are welcome to cover not only multi-criteria theoretical algorithms, but also practical applications in smart cities, logistics, supply chains, cybersecurity, healthcare, amongst other areas.

Prof. Dr. Bartosz Sawik
Dr. Elena Pérez-Bernabeu
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

  • multi-criteria decision making
  • mathematical programming
  • mixed integer programming
  • linear programming
  • quadratic programming
  • exact approach
  • approximation approaches
  • portfolio optimization
  • fair decision making
  • Pareto front
  • goal programming
  • conditional value-at-risk
  • value-at-risk
  • weighting approach
  • lexicographic approach
  • reference point method
  • reference sets
  • fuzzy sets
  • heuristics
  • simheuristics
  • metaheuristics
  • maths heurisitics
  • simulations and optimizations approach

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Published Papers (4 papers)

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Research

22 pages, 2334 KiB  
Article
Private Partner Prioritization for Public–Private Partnership Contracts in a Brazilian Water Company Using a Multi-Criteria Decision Aid Method
by Thaís Lima Corrêa and Danielle Costa Morais
Mathematics 2024, 12(13), 2041; https://doi.org/10.3390/math12132041 - 30 Jun 2024
Viewed by 714
Abstract
Public–private partnerships (PPPs) are long-term contracts between government entities and private companies, and are increasingly being adopted in developing countries due to the large need for investments in sectors such as water and sewerage and also in order to benefit from the experience [...] Read more.
Public–private partnerships (PPPs) are long-term contracts between government entities and private companies, and are increasingly being adopted in developing countries due to the large need for investments in sectors such as water and sewerage and also in order to benefit from the experience and to have access to the resources and technology of the private sector. Prioritizing the private party of the contract becomes a complex decision due to the characteristics of PPP contracts, and a standard of evaluation has not been adopted yet, the decision usually being made by evaluating the price. Thus, this research aims to propose a set of criteria to be incorporated into the decision problem that involves technical aspects. It then seeks to rank alternatives by using a multi-criteria decision aid method, FITradeoff, which supports the decision-maker (DM) in prioritization and provides transparency and security to the process. Full article
(This article belongs to the Special Issue Multi-criteria Optimization Models and Methods for Smart Cities)
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30 pages, 1317 KiB  
Article
Last Word in Last-Mile Logistics: A Novel Hybrid Multi-Criteria Decision-Making Model for Ranking Industry 4.0 Technologies
by Miloš Veljović, Snežana Tadić and Mladen Krstić
Mathematics 2024, 12(13), 2010; https://doi.org/10.3390/math12132010 - 28 Jun 2024
Cited by 1 | Viewed by 1013
Abstract
The complexity, increasing flow number and volumes, and challenges of last-mile logistics (LML) motivate or compel companies, authorities, and the entire community to think about ways to increase efficiency, reliability, and profits, reduce costs, reduce negative environmental impacts, etc. These objectives can be [...] Read more.
The complexity, increasing flow number and volumes, and challenges of last-mile logistics (LML) motivate or compel companies, authorities, and the entire community to think about ways to increase efficiency, reliability, and profits, reduce costs, reduce negative environmental impacts, etc. These objectives can be met by applying Industry 4.0 (I4.0) technologies, but the key question is which one. To solve this task, this paper used an innovative method that combines the fuzzy analytic network process (fuzzy ANP) and the fuzzy axial-distance-based aggregated measurement (fuzzy ADAM) method. The first was used for determining criteria weights and the second for selecting the best variant. The best solution is e/m-marketplaces, followed by cloud-computing-supported management and control systems and blockchain. These results indicate that widely adopted and implemented technologies are suitable for last-mile logistics. Newer technologies already producing significant results have serious potential for further development in this area. The main novelties and contributions of this paper are the definition of a new methodology based on multi-criteria decision-making (MCDM) methods, as well as its application for ranking I4.0 technologies for LML. Full article
(This article belongs to the Special Issue Multi-criteria Optimization Models and Methods for Smart Cities)
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31 pages, 2841 KiB  
Article
Performance Evaluation of Railway Infrastructure Managers: A Novel Hybrid Fuzzy MCDM Model
by Aida Kalem, Snežana Tadić, Mladen Krstić, Nermin Čabrić and Nedžad Branković
Mathematics 2024, 12(10), 1590; https://doi.org/10.3390/math12101590 - 19 May 2024
Cited by 3 | Viewed by 2593
Abstract
Modern challenges such as the liberalization of the railway sector and growing demands for sustainability, high-quality services, and user satisfaction set new standards in railway operations. In this context, railway infrastructure managers (RIMs) play a crucial role in ensuring innovative approaches that will [...] Read more.
Modern challenges such as the liberalization of the railway sector and growing demands for sustainability, high-quality services, and user satisfaction set new standards in railway operations. In this context, railway infrastructure managers (RIMs) play a crucial role in ensuring innovative approaches that will strengthen the position of railways in the market by enhancing efficiency and competitiveness. Evaluating their performance is essential for assessing the achieved objectives, and it is conducted through a wide range of key performance indicators (KPIs), which encompass various dimensions of operations. Monitoring and analyzing KPIs are crucial for improving service quality, achieving sustainability, and establishing a foundation for research and development of new strategies in the railway sector. This paper provides a detailed overview and evaluation of KPIs for RIMs. This paper creates a framework for RIM evaluation using various scientific methods, from identifying KPIs to applying complex analysis methods. A novel hybrid model, which integrates the fuzzy Delphi method for aggregating expert opinions on the KPIs’ importance, the extended fuzzy analytic hierarchy process (AHP) method for determining the relative weights of these KPIs, and the ADAM method for ranking RIMs, has been developed in this paper. This approach enables a detailed analysis and comparison of RIMs and their performances, providing the basis for informed decision-making and the development of new strategies within the railway sector. The analysis results provide insight into the current state of railway infrastructure and encourage further efforts to improve the railway sector by identifying key areas for enhancement. The main contributions of the research include a detailed overview of KPIs for RIMs and the development of a hybrid multi-criteria decision making (MCDM) model. The hybrid model represents a significant step in RIM performance analysis, providing a basis for future research in this area. The model is universal and, as such, represents a valuable contribution to MCDM theory. Full article
(This article belongs to the Special Issue Multi-criteria Optimization Models and Methods for Smart Cities)
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22 pages, 557 KiB  
Article
A Novel Hybrid Gray MCDM Model for Resilient Supplier Selection Problem
by Alptekin Ulutaş, Mladen Krstić, Ayşe Topal, Leonardo Agnusdei, Snežana Tadić and Pier Paolo Miglietta
Mathematics 2024, 12(10), 1444; https://doi.org/10.3390/math12101444 - 8 May 2024
Cited by 3 | Viewed by 1268
Abstract
The current business climate has generated considerable uncertainty and disrupted supply chain processes. Suppliers have frequently been identified as the primary source of hazards responsible for supply chain disruptions. Using a strategic approach to supplier selection that prioritizes providers with resilience features, mitigating [...] Read more.
The current business climate has generated considerable uncertainty and disrupted supply chain processes. Suppliers have frequently been identified as the primary source of hazards responsible for supply chain disruptions. Using a strategic approach to supplier selection that prioritizes providers with resilience features, mitigating the risk exposure inherent in supply chains is possible. This study proposes a comprehensive gray multiple-criteria decision making (MCDM) method incorporating resilience attributes to supplier selection. To determine criteria weights, the gray PSI and gray BWM methodologies were used, and to evaluate and prioritize resilient providers, the gray MCRAT and gray COBRA methodologies were applied. According to the results obtained by the suggested methodology, the supplier that demonstrated the greatest degree of resilience was determined to be the provider categorized as SPIR 4. The sequential sequence of the SPIR numbers is as follows: SPIR 5, SPIR 1, SPIR 3, SPIR 2, and SPIR 6. The data demonstrate that the developed approach produced accurate results. Full article
(This article belongs to the Special Issue Multi-criteria Optimization Models and Methods for Smart Cities)
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