KEY QUALITY PERFORMANCE EVALUATION USING FUZZY AHP

2004 ◽  
Vol 21 (6) ◽  
pp. 543-550 ◽  
Author(s):  
Ching-Chow Yang ◽  
Bai-Sheng Chen
2014 ◽  
Vol 32 (2) ◽  
pp. 163 ◽  
Author(s):  
Abdolhamid Safaei Ghadikolaei ◽  
Saber Khalili Esbouei

Multi Criteria Decision Making (MCDM) is an advanced field of Operation Research; recently MCDM methods are efficient and common tools for performance evaluation in many areas such as finance and economy. The aim of this study is to show one of applications of mathematics in real word. This study with considering value based measures and accounting based measures simultaneously, provided a hybrid approach of MCDM methods in fuzzy environment for financial performance evaluation of automotive and parts manufacturing industry of Tehran stock exchange (TSE).for this purpose Fuzzy analytic hierarchy process (FAHP) is applied to determine the relative important of each criterion, then The companies are ranked according their financial performance by using fuzzy additive ratio assessment (Fuzzy ARAS) method. The finding of this study showed effective of this approach in evaluating financial performance.


2013 ◽  
Vol 477-478 ◽  
pp. 1517-1520
Author(s):  
Guo Xin Yu ◽  
Ji Chen Fang ◽  
Ya Mei Zhou ◽  
Qiang Zhang

A multi-level model automotive service performance evaluation model was established based on the servicer-core automotive service network model was proposed. The model was divided into three interrelated levels: the business level, the process level, the learning and development level, respectively used to evaluate business conditions, operating process and development potential of the object. A fuzzy AHP evaluation model for automotive supply chain collaboration performance evaluation was established. A case study was used to show the feasibility of this evaluation model. The results show that, supply chain collaboration performance result of the object was slightly lower than the regional average. Services of the object had unbalanced development and some indicators had great room for improvement.


Author(s):  
Ertugrul Ayyildiz ◽  
Alev Taskin Gumus

Abstract Supply chain operations reference (SCOR) is a combined benchmarking, business process reengineering, and best practices, and it also references a model that is intended to be an industry standard. SCOR model is one of the best models to describe supply chain activities in operations management for research and practice alike. There are radical changes in the structure of supply chains as well as developing technology in today’s information age. The purpose of this paper is to extend the SCOR model with new metrics related to Industry 4.0 and digitalization to understand and evaluate the performance of supply chains. New metrics added to the SCOR model and a novel SCOR 4.0 model is proposed. The novel performance evaluation model is structured as a three-level hierarchical structure to evaluate the supply chain. This problem is handled as a multi-criteria decision-making problem. This study uses the hybrid Best worst method and Pythagorean fuzzy AHP method to determine the weights of metrics. SCOR model is adapted to performance evaluation of the supply chain in the globalizing world. The most important metrics on the supply chain performances are determined and classified. Level 1 metrics are evaluated by Best worst method and their inner levels are evaluated by the Pythagorean fuzzy AHP method and the importance weights of each level 2 and level 3 metrics are obtained. A real application for the oil supply chain is presented to show the applicability of the proposed model. It is aimed to show the SCOR 4.0 model can be used by both public and private sectors to improve their supply chain strategies in globalizing world.


2018 ◽  
Vol 28 (5) ◽  
pp. 1483-1487
Author(s):  
Mila Georgievska-Cvetanovska ◽  
Predrag Trpeski

The performance evaluation process is used to conduct an objective assessment of the performance and the effectiveness of the employees, the compliance with the organizational values and hierarchy and the achevement of the standards of the organization. The employee performance evaluation is an exceptionally important segment in healthcare organizations. The managers (directors) of the healthcare organizations have to recognize the employees that efficiently complete their tasks, detect the need and the type of training necessary to improve their performance and adequately reward the most prominent employees. Taking into account the relevance of the topic, the subject of research in this papers is precisely the analysis of the performance appraisal of the employees, as a process that should help obtaining a clear picture of how successfully the tasks of a given position are performed and how much they contribute to achieving the strategic goals of the organization. Hence arisesthe problem of this research, which is the absence of a quality system for evaluation and assessment of the performance of the healthcare workers. Two research goals have been pursued, both scientific and practical. The scientific goal of the research is to provide quality performance evaluation of the healthcare workers, which leads to faster development of the organization and sustainable efficiency of the market, whereas the practical goal of the research is to utilize the obtained results in the creation of an efficient system for evaluating the performance of the healthcare workers who will integrate the quality work standards, thereby improving the motivation and the quality of work. The relevance of the topic will be explored and proven by defining a hypothesis that reads: If a health care organization adopts a quality system for evaluating the work of its healthcare workers, then the healthcare employees will strengthen their skills which will lead to increased motivation and work quality. To prove the hypothesis, an empirical research was conducted using a standardized instrument, i.e. a questionnaire containing 10 statements and a Likert scale: strongly agree, partly agree and disagree. The questionnaires contained closed-ended questions whereby the respondents could choose one of the answers offered. The survey was conducted in 2 private healthcare organizations in December 2017. The representative sample includes 73 doctors and 27 nurses/orderlies. In the process of analyzing the findings of the research, a deductive method, comparison method and a method of objectivity and relevance were applied. In the conclusion of the papers, on the basis of the obtained results, guidelines will be proposed for improvement and implementation of a quality performance evaluation system in the private and public health care.


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