scholarly journals Decision-Support Framework for Selecting the Optimal Road Toll Collection System

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Marina Milenković ◽  
Draženko Glavić ◽  
Miloš N. Mladenović
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Swot Analysis ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Collection System ◽  
Advantages And Disadvantages ◽  
Decision Support Framework ◽  
Toll Collection

One of the central decision-making questions in planning road tolling is the selection of the optimal toll collection system (TCS). The question of TCS selection arises in the situation when the existing TCS is to be upgraded or when TCS is selected for a newly constructed road. Considering that there are multiple TCS available nowadays, with their particular advantages and disadvantages, and that there is a range of often conflicting criteria for TCS selection, this decision-making issue belongs to the group of multicriteria decision-making (MCDM) problems. The MCDM-based methodology used in this research integrates Strengths-Weakness-Opportunities-Threat (SWOT) analysis and Fuzzy Preference Ranking Organization Method for Enrichment Evaluations (F-PROMETHEE). The expert-based decision-support framework includes a procedure for defining evaluation criteria and their weights, scoring of alternatives, and sensitivity analysis. Presented decision-support framework is tested with fourteen toll systems. Results indicate that the best-ranked TCS is the dedicated short-range communication multilane free flow. Decision-support framework is developed for transferability to different contexts, where local features can be taken into account by choosing specific alternatives, criteria, and criteria values. Finally, this development opens up opportunities for further analysis of criteria values and considerations of user attitudes in road pricing scheme planning.

scholarly journals Decision Support Framework for Cycling Investment Prioritization

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Draženko Glavić ◽  
Miloš N. Mladenović ◽  
Marina Milenković
Keyword(s):  
Sensitivity Analysis ◽  
Decision Support ◽  
Evaluation Criteria ◽  
Cost Benefit ◽  
Preference Ranking ◽  
Regulatory Constraints ◽  
User Attitudes ◽  
Decision Support Framework ◽  
Conflicting Objectives

Considering the significant potential for environmental, economic, social and health benefits from cycling, transport planners around the world are considering a wide variety of strategies for its promotion. However, cycling investments still have to find their place in a coherent package among other policies. Different constraints often imply a need for prioritization in cycling project implementation. The need for prioritization list of proposed investments can be caused by different factors such as available budget, available time, and regulatory constraints. Evaluation of investments in cycling infrastructure is a field of study that still requires further development, as previous research has mostly focused on questions of what to build and where. Previously used cost-benefit methods have substantive and procedural limitations in dealing with non-commensurable effects, and dealing with multiple conflicting objectives stemming from different stakeholders. On the contrary, development of prioritization list is formulated here as a semi-structured decision problem, thus belonging to the group of multi-criteria analysis (MCA) methods. The MCA methodology implemented in this decision-support framework is based on Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The expert-based decision-support framework includes procedures for defining list of evaluation criteria and their weights, scoring of alternatives, and sensitivity analysis. Presented decision-support framework is applied on six bicycle sections of the EuroVelo route 8 through Montenegro. Results provide a list of prioritized infrastructural investments, as well as list of criteria with weights, and sensitivity analysis. Decision-support framework is discussed in the context of further professionalizing of cycling planning, as well as short-term and long-term structuration of organization learning in the transition country context. Finally, this development opens up directions for further contextualization of decision criteria, and greater consideration of user attitudes in cycling promotion.

A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment

2016 ◽  
Vol 33 (05) ◽  
pp. 1650033 ◽  
Author(s):  
Dilip Kumar Sen ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Support ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Selection Problems ◽  
Fuzzy Environment ◽  
Decision Support Framework ◽  
Application Potential

A novel decision support framework has been proposed herein to solve supplier selection problems by considering green as well as resiliency criteria, simultaneously. In this work subjectivity of evaluation criteria has been tackled by exploring fuzzy set theory. A dominance based approach has been conceptualized which is basically a simplified version of TODIM. Application potential of the proposed dominance based fuzzy decision making approach has been compared to that of fuzzy-TOPSIS, fuzzy-VIKOR and also fuzzy-TODIM. The concept of a unique performance index, i.e. “g-resilient” index has been introduced here to help in assessing suppliers’ performance and thereby selecting the best candidate. The work has also been extended to identify the areas in which suppliers are lagging; these seek further improvement towards g-resilient suppliers’ performance to be boosted up to the desired level.

scholarly journals Modeling an Individual and Group Decision on the Implementation of a Real Estate Development Project

2018 ◽  
Vol 251 ◽  
pp. 05007 ◽  
Author(s):  
Elena Romanova
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Real Estate ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Development Project ◽  
Real Estate Development ◽  
Advantages And Disadvantages ◽  
Computer Decision Support

The implementation of the real estate development project are accompanied many management decisions. These decisions can be made by one person or a project team. The article describes the advantages and disadvantages of individual and group decisions. The results of a comparative research of decision-making by one person and a group using computer decision support systems and without them. It is shown that using of automation tools facilitates decision making and increases confidence in its correctness. It has been experimentally proved that the individual solution is based on a smaller number of factors, is accepted more quickly and more satisfied by the person making the decision, in comparison with the group decision. Further the difficulties in implementing computer decision support systems in the work of a development company and acquired benefits are listed.

Strategy development with SWOT analysis on manufacturing companies in rapid growth: A ceramic industry application

2018 ◽  
Vol 4 (10) ◽  
pp. 01-12
Author(s):  
Feyza Gurbuz
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multicriteria Decision Making ◽  
Strategy Management ◽  
Strategy Development ◽  
Multi Criteria Decision Making ◽  
Manufacturing Companies ◽  
Analysis Strategy ◽  
Decision Making Processes ◽  
Potential Strategy

Decision-making is important for organisations, since the consequences of given decisions are identified among the major risk factors for organisations’ future. This study aims to prove the importance of using combined decision-making methods for a successful decision-making for managers. In a ceramics company, multi-criteria decision-making processes were applied for taking quick action for future strategies. SWOT analysis was used for determining potential strategies. After then, multicriteria decision-making methods were used to determine the importance of each potential strategy. Keywords: Multi-criteria decision-making, SWOT analysis, strategy management.

scholarly journals Transition Economy: Urbanization, the Processes of Creation and Accumulation of Property

Ekonomika ◽  
2005 ◽  
Vol 72 ◽  
Author(s):  
Borisas Melnikas
Keyword(s):  
Decision Making ◽  
Urban Development ◽  
Strategic Management ◽  
Transition Economy ◽  
Evaluation Criteria ◽  
Multicriteria Decision Making ◽  
Strategic Decision ◽  
General Context ◽  
Political Transformations ◽  
Transformation Processes

The urgent problems of urban development and the processes of property creation and accumulation in the context of economic, social, political transformations in the society are analyzed. The possibilities of multicriteria strategic decision-making are described. The following objects are analyzed: urban development under the conditions of transformations as the major research object in the area of strategic property management; cities and their development as an environment of property creation and accumulation; transformation processes as the general context of urban development and of the creation and accumulation of property; the major trends of the transformation processes in Central and Eastern Europe, their main criteria and indicators; the evaluation criteria used in the area of urban development and property strategic management in the conditions of transformation processes; multicriteria decision-making in the area of urban development and property strategic management.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Energy Planning ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Promethee Ii ◽  
Sustainability Criteria ◽  
Hierarchy Process

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 10 (3) ◽  
pp. 230
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
The Sustainable Development ◽  
Promethee Ii ◽  
Sustainability Criteria

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and a complex issue that decision makers usually face during planning process. In hydropower projects, it is important to consider technical, environmental and social parameters instead of purely economic ones for sustainability assessment and decision making. Multi-criteria decision making (MCDM) methods offer a practical approach to a problem having conflicting criteria. The flexibility to consider several criteria and objectives simultaneously made MCDM methods well accepted in the field of energy planning. This paper aims for applicability of MCDM methods which will facilitate the decision makers to select the most sustainable hydropower projects by making real and logical choices based on various sustainability criteria. For comprehensively rank hydropower projects of Indian region based on sustainability criteria four MCDM methods are applied i.e., analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II) and elimination and choice translating reality (ELECTRE III). To ensure better decision making the eight criteria selected are compatible to the sustainable development of hydropower projects.

scholarly journals Review of PROMETHEE method in transportation

2021 ◽  
Vol 27 (1) ◽  
pp. 69-74
Author(s):  
Laila Oubahman ◽  
Szabolcs Duleba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Evaluation Method ◽  
Scale Effects ◽  
Decision Makers ◽  
Preference Ranking ◽  
Promethee Ii ◽  
Partial Ranking ◽  
Complete Ranking ◽  
Promethee Method

Abstract In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

scholarly journals Supportiveness of Low-Carbon Energy Technology Policy Using Fuzzy Multicriteria Decision-Making Methodologies

Mathematics ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 1178 ◽  
Author(s):  
Konstantinos Kokkinos ◽  
Vayos Karayannis
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Technology Policy ◽  
Multicriteria Decision Making ◽  
Clean Energy ◽  
Policy Formulation ◽  
Ideal Solution ◽  
Low Carbon ◽  
Multicriteria Decision ◽  
Low Carbon Energy

The deployment of low-carbon energy (LCE) technologies and management of installations represents an imperative to face climate change. LCE planning is an interminable process affected by a multitude of social, economic, environmental, and health factors. A major challenge for policy makers is to select a future clean energy strategy that maximizes sustainability. Thus, policy formulation and evaluation need to be addressed in an analytical manner including multidisciplinary knowledge emanating from diverse social stakeholders. In the current work, a comparative analysis of LCE planning is provided, evaluating different multicriteria decision-making (MCDM) methodologies. Initially, by applying strengths, weaknesses, opportunities, and threats (SWOT) analysis, the available energy alternative technologies are prioritized. A variety of stakeholders is surveyed for that reason. To deal with the ambiguity that occurred in their judgements, fuzzy goal programming (FGP) is used for the translation into fuzzy numbers. Then, the stochastic fuzzy analytic hierarchical process (SF-AHP) and fuzzy technique for order performance by similarity to ideal solution (F-TOPSIS) are applied to evaluate a repertoire of energy alternative forms including biofuel, solar, hydro, and wind power. The methodologies are estimated based on the same set of tangible and intangible criteria for the case study of Thessaly Region, Greece. The application of FGP ranked the four energy types in terms of feasibility and positioned solar-generated energy as first, with a membership function of 0.99. Among the criteria repertoire used by the stakeholders, the SF-AHP evaluated all the criteria categories separately and selected the most significant category representative. Finally, F-TOPSIS assessed these criteria ordering the energy forms, in terms of descending order of ideal solution, as follows: solar, biofuel, hydro, and wind.

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