Blockchain technology is a technology that can effectively support supply chain transparency. An important initial managerial activity is for organisations in supply chains to evaluate and select t...

A supply chain transparency and sustainability technology appraisal model for blockchain technology

Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach

Best Worst Method (BWM) is a multi-criteria decision-making method that is based on a structured pairwise comparison system. It uses two pairwise comparison vectors (best-to-others and others-to-wo...

A Concentration Ratio for Nonlinear Best Worst Method

Waste production is constantly increasing worldwide and constitutes a problem that is expected to deteriorate in the future. In parallel, ensuring access to affordable and sustainable energy for all is crucial considering current environmental, economic, and social concerns. Waste-to-Energy (WtE) is an effective solution to address both issues, therefore it requires intense scientific attention. WtE management is characterized by different technologies, refers to various waste types, and needs multidisciplinary decision support. Thus, it is critical to include multiple criteria in the decision making process i.e. economic, technological, environmental, social, and political. These reflect different objectives that often come into conflict with each other. Multi-Criteria Decision Analysis (MCDA) is a tool that can effectively contribute to answer that challenge. The paper reviews the way, the scope, and the multi-criteria techniques that have been applied up-to-now to WtE Management Strategies (WtEMSs) in the globe. A critical review of 153 published papers addresses specific issues and questions. Asian and European countries are producing the most MCDAs studies on WtEMS. An increasing trend of papers commences from the year 2007. Results depict that Analytical Hierarchy Process is the most common approach, adopted in 62 real-life cases. Incineration and anaerobic digestion are mostly studied in MCDA frameworks. Emphasis is given on critical analysis and lessons that can be learnt from the available literature. Policy makers are motivated to: (i) adopt MCDA to holistically make WtEMSs decisions, (ii) adapt to local characteristics, (iii) encounter logistic problems, and (iv) efficiently promote implementation in real-life cases.

Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review

As one of the promising renewable energy resources, solar-wind energy has increasingly become a regional engine in leading the economy and raising competitiveness.

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Solving Solar-Wind Power Station Location Problem Using an Extended Weighted Aggregated Sum Product Assessment (WASPAS) Technique with Interval Neutrosophic Sets

Analytic network process: An overview of applications

Evaluation of energy production technologies from biomass using analytical hierarchy process: The case of Iran

Environmental problems, combined with a finite supply of fossil fuels, have made the use of renewable energy sources necessary. Biomass is a renewable source of energy that has played a very important role in energy production in recent years. Because there are a number of technologies that can be used to convert biomass into energy, it is important to select the best option. The fact that multiple options are available that need to be evaluated based on a set of decision-making criteria makes this a multicriteria decision-making problem. This paper takes the first step in proposing an evaluation framework and identifying the importance of the relevant decision-making criteria in biofuel production technology selection. To determine the importance of the selection criteria, experts were asked to respond to an online questionnaire based on the best–worst method. The results indicate that air pollution, land use change, and human expertise are the three most important criteria for selecting the best biofuel production technology in our case country, Iran.

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Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

So far, many methods have been proposed to classify items based on ABC analysis, but the results of these methods have had relatively low compliance with the principles of ABC. More precisely, collective value and sometimes the number of items belonging to each category in the methods provided do not meet the basic requirements of ABC called Pareto’s principle. In this study, a number of hybrid methodologies including Shannon’s entropy, TOPSIS (the technique for order preference by similarity to ideal solution) and goal programming are respectively used for determining the weight of criteria which are effective in the inventory items classification, calculations of each item value and its classification based on Pareto’s principle. To this end, the value of each item as well as classification of inventory items is calculated based on Pareto’s principle. The performance of the proposed method is evaluated through (1) statistical analysis, (2) checking the percentage of similarity with other methods and (3) comparison with another method in terms of the number and value allocated to each class. The results confirm the capability of the listed method.

Fariba Mahdi Rezaie

Papers

Analytic network process: An overview of applications

Evaluation of energy production technologies from biomass using analytical hierarchy process: The case of Iran

Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection

ABC classification according to Pareto’s principle: a hybrid methodology

Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II