Application of Multi-Criteria Decision-Making Methods for Evaluation in Logistics and Supply Chain

A special issue of Logistics (ISSN 2305-6290).

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 11277

Special Issue Editors


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Guest Editor
Department for Transport Engineering, Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina
Interests: logistics; supply chain management; transport; traffic engineering; multicriteria decision-making problems; rough set theory; sustainability; fuzzy set theory; neutrosophic theory
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Guest Editor
Logistics Department, Faculty of Transport and Traffic Engineering, University of Belgrade, Belgrade 11000, Serbia
Interests: logistics; supply chain; intermodal transport; logistics centers; city logistics; dry ports, humanitarian logistics; e-commerce logistics; multi-criteria decision making
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today, multicriteria decision-making (MCDM) is one of the most important topics in various fields and refers to making adequate decisions in order to achieve optimization. Therefore, the application of the MCDM methods for the evaluation of the potential solutions in different fields is very popular and facilitates making extremely important decisions. The necessity of MCDM tool and technique application is manifested in its ability to balance conflicting objectives when many alternative courses of action are available to the decision-makers, while resources, time, and funds are limited. Managing all activities and processes, whether in logistics or any other area, requires proactive action and a focus on achieving all aspects of sustainability and efficiency. Logistics and supply chains are very complex fields with a large number of conflicting elements. Therefore, the application of MCDM methods is required in order to achieve rationalization, efficiency, sustainability, and optimization. MCDM methods find applications in all aspects of logistics and the supply chain, such as city logistics, reverse logistics, green logistics, warehousing, industrial logistics, transport, intermodality, sustainable supply chain planning, sustainable distribution, industrial waste reduction, etc.

Multicriteria analysis has considerably expanded beyond classical and formal methodologies and has also involved intuitive and informal processes. Therefore, in addition to classical MCDM methods, this Special Issue also welcomes their integration with uncertainty theory, such as fuzzy sets, rough sets, neutrosophic sets, etc. Hence, different mathematical models of real-life multicriteria optimization problems can be applied to various uncertain frameworks, with special emphasis on optimization problems in logistics and supply chains.

The Special Issue aims to collect quality papers on the development or application of optimization models in the field of logistics and supply chains. With this Special Issue, we aspire to make significant contributions on advances in the MCDM literature from different operational and theoretical aspects. Submitted papers should not have been previously published or be currently under consideration for publication elsewhere.

We invite authors to submit original research articles which propose novel MCDM optimization models for solving logistics and supply-chain-related problems.

Dr. Željko Stević
Dr. Snežana Tadić
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. Logistics is an international peer-reviewed open access quarterly 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 1400 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

  • Application of MCDM methods in logistics 4.0
  • Application of uncertainty MCDM approaches in logistics and supply chains
  • Hybrid decision-making analysis in logistics and supply chains
  • MCDM tools in sustainable logistics scheduling
  • Applications of MCDM methods for optimization in logistics
  • Network optimization in supply chains
  • Logistics network nodes location selection
  • Risk analysis/modeling of the supply chains
  • Innovative applications of MCDM methods
  • Environmental decision-making
  • Group decision-making in logistics and supply chains
  • Multi-objective decision-making in logistics and supply chains
  • Application of the interactive MCDM methods in logistics and supply chains

Published Papers (2 papers)

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Research

17 pages, 2450 KiB  
Article
Supplier Selection Risk: A New Computer-Based Decision-Making System with Fuzzy Extended AHP
by Marcus V. C. Fagundes, Bernd Hellingrath and Francisco G. M. Freires
Logistics 2021, 5(1), 13; https://doi.org/10.3390/logistics5010013 - 03 Mar 2021
Cited by 9 | Viewed by 3910
Abstract
Supplier risks have attracted significant attention in the supply chain risk management literature. In this article, we propose a new computational system based on the ‘Fuzzy Extended Analytic Hierarchy Process (FEAHP)’ method for supplier selection while considering the relevant risks. We sought to [...] Read more.
Supplier risks have attracted significant attention in the supply chain risk management literature. In this article, we propose a new computational system based on the ‘Fuzzy Extended Analytic Hierarchy Process (FEAHP)’ method for supplier selection while considering the relevant risks. We sought to evaluate the opportunities and limitations of using the FEAHP method in supplier selection and analyzed the support of the system developed through the real case of a Brazilian oil and natural gas company. The computational approach based on FEAHP automates supplier selection by determining a hierarchy of criteria, sub-criteria, and alternatives. First, the criteria and sub-criteria specific to the selection problem were identified by the experts taking the relevant literature as a starting point. Next, the experts performed a pair-wise comparison of the predefined requirements using a linguistic scale. This evaluation was then quantified by calculating the priority weights of criteria, sub-criteria, and alternatives. The best decision alternative is the one with the highest final score. Sensitivity analysis was performed to verify the results of the proposed model. The FEAHP computer approach automated the supplier selection process in a rational, flexible, and agile way, as perceived by the focal company. From this, we hypothesized that using this system can provide helpful insights in choosing the best suppliers in an environment of risk and uncertainty, thereby maximizing supply chain performance. Full article
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14 pages, 945 KiB  
Article
A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company
by Željko Stević and Nikola Brković
Logistics 2020, 4(1), 4; https://doi.org/10.3390/logistics4010004 - 13 Feb 2020
Cited by 127 | Viewed by 6397
Abstract
The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out [...] Read more.
The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out in a transport system of an international transport company. An MCDM model has been created for the purpose of human resource evaluation, on which the overall efficiency of the company depends. A total of 23 drivers were evaluated on the basis of five crucial criteria in order to increase employees’ motivation through their periodic remuneration. The Full Consistency Method (FUCOM) was applied to determine the significance of the criteria, while the evaluation of potential solutions was performed using Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). After the results had been obtained, the created model was validated throughout comparisons with seven other MCDM methods. Full article
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