Designing a combined-fuzzy methodology to improve Organizational Diagnosis process effectiveness through the identification and assessment of effective parameters

Document Type: Research Paper

Authors

1 islamic azad university

2 university

Abstract

‌Organizational diagnosis is a systematic and scientific method to identify, categorize and single out the obstacles and their effects on organizational performance through interaction between inside and outside views and preparing and setting operational plans to solve them In the organization. Providing standard products and emphasizing on the financial measures do not guarantee the survival, consequently, organizations are obliged to constantly analyze the market and anticipate the future needs of the customers. this paper attempts to provide an integrated models taken from the existing models to be established as an organizational diagnosis process in a selected company. Regarding the researches done in this field using various models in evaluating the organization performance and organizational diagnosis, this research has tried to employ a comprehensive approach to identify and solve problems in organizations as well as providing a Fuzzy methodology to identify and rank the most important indicators of organizational diagnosis in an organization. As a case study in Rojin-tak manufacturing group, the study uses the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as one of the multi-attribute decision-making (MADM) techniques for identifying and ranking criteria and EFQM approach in order to identify problems and provide solutions.

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