scholarly journals A Hybrid Fuzzy Analytic Hierarchy Process and the Technique for Order of Preference by Similarity to Ideal Solution Supplier Evaluation and Selection in the Food Processing Industry

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 211 ◽  
Author(s):  
Chia-Nan Wang ◽  
Hsiung-Tien Tsai ◽  
Van Thanh Nguyen ◽  
Viet Tinh Nguyen ◽  
Ying-Fang Huang
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Vegetable Oil ◽  
Multicriteria Decision Making ◽  
Fuzzy Analytic Hierarchy Process ◽  
Supplier Evaluation ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Hierarchy Process

Selecting suppliers plays an important role in improving efficiency of supply chains. In the field of extraction of vegetable oil, one of the main submaterials is hexane solvent. Choosing a supplier of hexane solvent is a multicriteria decision-making task that decision-makers must have an understanding of the quantitative and qualitative elements for assessing the symmetrical impact of the criteria to reach the most accurate result. In this paper, the authors suggest a multicriteria decision-making (MCDM) model for N-hexane solvent (C6H14) supplier evaluation and selection for vegetable oil production. All criteria affecting to the hexane solvent supplier evaluation and selection process are defined by experts. Then, a fuzzy analytic hierarchy process (FAHP) multicriteria comparative analysis method has been applied for determining the weight of all criteria. Finally, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied to select the optimal hexane solvent supplier. As a result, decision making unit 003 (DMU3) is the optimal supplier. The contribution of this research is to propose an MCDM model for hexane solvent supplier selection in the food industry. The work also proposed a useful guideline for supplier evaluation and selection processes in other industries.

scholarly journals Barriers to Corporate Social Responsibility: perceptions of a leading non-governmental organization

2020 ◽  
Vol 15 (4) ◽  
pp. 01-22
Author(s):  
Diego Valério de Godoy Delmonico ◽  
Hugo Henrique dos Santos ◽  
Octaviano Rojas Luiz ◽  
João Victor Rojas Luiz ◽  
Bárbara Stolte Bezerra ◽  
...  
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Analytic Hierarchy Process ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Governmental Organization ◽  
Multicriteria Decision ◽  
Corporate Social ◽  
Hierarchy Process

Purpose – This paper aims to identify the main barriers to the development of Corporate Social Responsibility (CSR) in the view of a leading Non-governmental Organization (NGO). The proposed methodology evaluates the importance attached to different classes of barriers to CSR from a privileged perspective of a Brazilian NGO. Theoretical framework – This research was based on the current theory of barriers to CSR initiatives and multicriteria decision making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used for the assessment and prioritization of barriers to CSR through expert opinion. Ranking stability was tested by sensitivity analysis of the assigned weights. Findings – The results indicate that the main barrier is the lack of top management commitment. By contrast, the least determinant barriers were the lack of social auditing, diversity, and customer awareness. Originality/value – The article contributes by extending the application of multiple-criteria decision-making methods to CSR and evaluating the relative importance of the barriers. This study also offers empirical results that extend the discussion on barriers to social responsibility, guiding managers and decision makers who lead CSR initiatives in organizations to understand which barriers should be overcome, and where to spend managerial effort on. Keywords - Analytic hierarchy process; Multicriteria decision making; CSR; Non-governmental organizations; Sustainable development.

scholarly journals The analysis of barriers for implementing circular economy practices using the Analytic Hierarchy Process (AHP)

2021 ◽  
Vol 16 (03) ◽  
pp. 99-118
Author(s):  
Hugo Henrique dos Santos ◽  
Vitor Natã Marques ◽  
Luiz Felipe Ferreira Paschoali
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Circular Economy ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Purpose – This paper aims to identify and classify the main barriers for adopting circular economy practices using the Analytic Hierarchy Process (AHP) method for prioritization. The proposed methodology evaluates the importance of different classes of barriers for adopting circular economy practices in a food company and metalworking company. Theoretical framework – This study was based on the current theory of barriers to adopt circular economy practices and multicriteria decision-making. Design/methodology/approach – The Analytic Hierarchy Process (AHP) method was used to assess and prioritize barriers for circular economy practices. Stability was ranked using a sensitivity analysis. Findings – The results indicate significant differences in the classification of barriers. While the food manufacturing company indicate that the main barriers are related to technical information, the metalworking company considered that barriers relating to financial and economic issues have more of an impact. Originality/value – The study contributes to providing insights so that managers have a greater perception of the main difficulties in adopting circular economy practices, in addition, the study also contributes to extending the application of multicriteria decision making methodologies to the circular economy and evaluating the relative importance of the barriers. Keywords - Circular Economy; Analytic Hierarchy Process; multicriteria analysis; barriers; sustainable development.

scholarly journals Ranking risks in ambient intelligence projects

2011 ◽  
Vol 9 (03) ◽  
Author(s):  
C. López ◽  
J.L. Salmeron
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Ambient Intelligence ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Ambient Intelligent ◽  
Digital Environments ◽  
Hierarchy Process ◽  
Engineering Projects

At present, numerous ambient intelligent (AmI) applications are emerging which support current electronic and digital environments. Professionals develop each of them by means of projects. AmI application projects have certain features that make them different from other engineering projects. Moreover, a wide rage of risks are present in the whole project. Therefore, to increase these projects’ chances to be successful, it is necessary to manage their specific risks adequately. In order to support the work of those practitioners managing these threats, this research proposes a multicriteria decision-making methodology called Analytic Hierarchy Process. This technique will enable theprioritization of risks in AmI projects according to their level of threat.

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