Application of AHP and ELECTRE III/IV Methods to Multiple Level, Multiple Criteria Evaluation of Urban Transportation Projects

Żak, Jacek; Kruszyński, Mirosław

doi:10.1016/j.trpro.2015.09.035

Cited by 61 publications

(17 citation statements)

References 12 publications

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“…AHP can be applied to virtually any field, such as water supply [17] and environment management [18], among many others. Moreover, the literature [19,20] supports the integration of AHP with other MCDM techniques to make the final results more trustworthy. A straightforward application of AHP, as done in this paper, can easily weight the various factors involved in the calculation of the modified RPN.…”

Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

et al. 2020

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Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the Risk Priority Number (RPN) is proposed within the FMECA framework by means of an integrated Multi-Criteria Decision-Making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of “dependence” among the risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated with input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: When planning interventions of prevention/mitigation, primary importance should be given to (1) supply chain disruptions due to natural disasters; (2) manufacturing facilities, human resources, policies and breakdown processes; and (3) inefficient transport.

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Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

et al. 2020

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“…Usually, the result of a multi-objective optimization problem is a set of non-dominated solutions (in which no solution is better than all the others concerning all the objectives), from which the DM has to choose his/her preferred alternative. The task of selecting a preferred alternative is not trivial; therefore, multi-criteria decision-making (MCDM) methods-automated methods for selecting a preferred solution from a set of solutions having conflicting criteria-have been developed [40,41].…”

Section: Multi-criteria Decision-makingmentioning

confidence: 99%

“…Formally, a multi-criteria decision problem contains two sets: A-a set of actions or solutions, and F-a set of criteria, which is consistent with the DM's preferences and which can be used to evaluate set A. Moreover, no correlation exists between the various criteria domains, and the domains of all criteria are disjointed [40,42].…”

Section: Multi-criteria Decision-makingmentioning

confidence: 99%

Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact

Nahum

Hadas

2020

Sustainability

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In recent years, due to environmental concerns, there has been an increasing desire to develop alternative solutions to traditional energy sources. Since transportation is a significant fossil-fuel consumer, the development of electric vehicles, especially buses, has the potential to reduce fossil-fuel use and thus provide a better living environment. The aim of the current work was to develop an optimal allocation model for designing a system-wide network of wireless bus charging stations. The main advantages of wireless charging are the need for a much smaller battery and the fact that the charging process may occur under both static and dynamic (in-motion) conditions. The suggested approach consisted of a multi-objective model that selected the locations for the charging stations while (a) minimizing the costs, (b) maximizing the environmental benefit, and (c) minimizing the number of charging stations. The problem was formulated as a multi-objective non-linear optimization model with both deterministic and stochastic variations. An efficient genetic algorithm was introduced to solve the problem. A test case was used to demonstrate the model; accordingly, the decision-maker was provided with a solution set from which the best fit solution could be selected.

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“…Third step: Ranking of provinces In this step, the proposed DEA model and the resultant constraints from previous step (FAHP) are merged and, thereby, the mathematical model is developed as follows: (22) w IC2 > w IC3 (23) w IC3 > w IC4 (24) w OC1 > w OC4 (25) w OC4 > w OC2 (26) w OC2 > w OC5 (27) w OC5 > w OC3 (28) By running the model in GAMS24.1/BARON software, the efficiency deviation of each province is calculated. The province with the lowest level of deviation benefits form higher efficiency.…”

Section: Second Step: Weighting Of Criteriamentioning

confidence: 99%

“…Zak & Kruszynski [23] proposed an approach based on AHP and ELECTRE III/IV for the assessment of urban transportation projects. They applied the aforementioned approach for 18 projects where the results indicated the efficiency and user friendliness of their proposed approach.…”

Section: Introductionmentioning

confidence: 99%

A hybrid ranking approach based on fuzzy analytical hierarchy process and data envelopment analysis: Road maintenance and transport organization of Iran

Salehian

Razmi

Jolai

2018

IFS

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The continuous improvement of performance in organizations requires the continuous and purposeful evaluation of organizations. One of the most vital sectors that significantly affects the economic growth of countries is transportation; in this regard, performance assessment plays an important role in this sector. Therefore, a novel hybrid algorithm based on Fuzzy Analytical Hierarchy Process (FAHP) and Data Envelopment Analysis (DEA) is proposed here to measure the efficiency of product transportation in road fleets of Iranian provinces. FAHP method is used to define the weights of input and output criteria, and the priority of criteria is implemented as a constraint in a DEA model. The efficiency of each province in this domain will be determined by means of the proposed DEA model. The results obtained from the application of the proposed approach to Iran Road Maintenance & Transportation Organization vindicated the effectiveness and efficiency of the proposed approach.

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Application of AHP and ELECTRE III/IV Methods to Multiple Level, Multiple Criteria Evaluation of Urban Transportation Projects

Cited by 61 publications

References 12 publications

Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

Multi-Objective Optimal Allocation of Wireless Bus Charging Stations Considering Costs and the Environmental Impact

A hybrid ranking approach based on fuzzy analytical hierarchy process and data envelopment analysis: Road maintenance and transport organization of Iran

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