Multicriteria decision‐making taxonomy for DevOps challenging factors using analytical hierarchy process

2020 ◽  
Vol 32 (10) ◽  
Author(s):  
Arif Ali Khan ◽  
Mohammad Shameem
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Hierarchy Process

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

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 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.

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