تحلیل رابطه ای خاکستری

One of the key decisions in organizations is the selection of suppliers. Typically, a list of identified suppliers is evaluated based on a set of criteria, which indicates a multi-criteria decision-making problem. There are multiple methods and multiple criteria for evaluating suppliers. The nature of such decisions is complex in conditions of uncertainty. The purpose of this study is to provide a method for evaluating suppliers in conditions of uncertainty. In this research, evaluation criteria are extracted from the supplier potential matrix, and after determining the importance of criteria using the Best-Worst Method, the degree of uncertainty is calculated with Gray Relational analysis and finally, Dempster-Shafer method is used to rank suppliers. Research data has been gathered from hardware industry experts, with knowledge and experience in purchasing and procurement. A real case study is presented to illustrate the proposed hybrid approach to supplier selection. In the capability dimension, quality and capacity of the warehouse and in the willingness dimension, willingness to share information and mutual interaction are respectively the best and worst indicators. Also, the ranking of suppliers was conducted in conditions of uncertainty. Research results are important from a few perspectives. First, the criteria presented are public and can be used in different industries and conditions. Second, gray relational analysis is used to calculate uncertainty, which is due to the use of less data.

Administrative health is one of the key issues of general value education, which means the impact of human capital on the creation of public value in Islamic administrative systems. The purpose of this study is to develop a model for assessing law enforcement agencies based on the dimensions of the administrative health system based on the creation of public value. This research is applied one which utilized a descriptive-quantitative approach. The statistical population consisted of those who referred to Guilan Provincial Offices in which 100 people were selected through available sampling. The instrument used is a researcher made questionnaire. Collected data were analyzed using Fuzzy Analytical Hierarchy Analysis and Gray Relationship Analysis. After reviewing the initial validity, six factors in the form of a Likert scale based on a Likert scale questionnaire were used to assess the construct validity and reliability. Finally, validity (0.79) and structural reliability (0.821) were confirmed. Then, the fuzzy significance of each dimension was measured using fuzzy hierarchical analysis method. Finally, using Gray Relationship Analysis, agencies based on administrative health dimensions based on generic value creation were ranked. The results of the research showed that those law enforcement agencies whose employees had a higher average level of knowledge, university education and in-service training courses, had a better ranking in terms of administrative health And also those indicators that were in direct contact with and consistent with the respondents were ranked higher in importance.

Grey relational analysis (GRA) method has been widely applied in solving multiple attribute decision making (MADM) problems. We extend the existing GRA literature by proposing a generalized methodology which provides normalization functions for the benefit، optimum and cost-type attributes and enables decision makers to consider both deterministic and non-deterministic attributes simultaneously. Also، a numerical example was solved in order to obtain illustrative results

By increasing complexity، level of uncertainty and risk in the chain goes up. Hence supply chain risk management has become a major issue in the organization. In this study، Supply Chain Risk from this perspective will be investigated. This study utilizes a grey relational analysis and Fuzzy VIKOR to establish a complete and accurate evaluation model for ranking factors affecting on supplier risk. Innovation of this research is combining fuzzy Delphi method، the grey relational analysis and fuzzy VIKOR to identify and ranking factors affecting on suppliers risk and was conducted for the first time in alloy steel industry. After the analysis «single sourcing» and «available capacity» were identified as important factors. For this purpose، factors affecting on the risks incurred by the supplier on Alloy Steel industry were identified using Fuzzy Delphi. Then these factors evaluated and ranked using Grey Relation Analysis and fuzzy VIKOR. After the most important risk factors that need to be improved، identified and more appropriate strategies is offered.