Journal of Quality Engineering and Management

Identifying and Analyzing Scenarios of Maintenance System Assessment Using Grounded Theory and Fuzzy Cognitive Maps 

Document Type : Original Article

Authors

Abolfazl Sherafat 1
Farahnaz Karimi 2
Sayyed Mohammad Reza Davoodi 3

1 Phd of Industrial Management, Imam Javad Higher Education Institute, Yazd, Iran 

2   Master of Executive Management, Yazd Regional Electric Company, Yazd, Iran   

3 Assistant Professor, Department of Management, Dehaghan Branch, Islamic Azad University, Dehaghan, Iran

Abstract
 In previous studies, in the discussion of maintenance and repair systems, the evaluation criteria, their classification and the use of different techniques for evaluation have been addressed. But the main issue of this research is to identify the metrics of the system's evaluation and determine their relationship with the processes and goals of the system, to determine the subsystems of the system, identify their relationships and their effects on each other, and provide scenarios that critical paths in the system and the conditions Affecting this Directions are specified.The present study is a qualitative approach in which the theory of data and fuzzy perceptual mapping is used. Using this theory, maintenance subsystems were identified and designed with four main categories: inspection, maintenance and maintenance, chronic failure, acute failure and its relationship. Then, for each of the categories, its characteristics and dimensions were expressed and identified using the paradigm pattern in axial coding under their categories and their relationships. These communications were used as inputs to the fuzzy perceptual mapping topic and through FCM apper software the impact of each of the causative conditions, mediators, strategies and outcomes on each other and different methods of achieving the outcome in each of the inspection, maintenance and maintenance categories, Chronic and acute failure was investigated and presented in the scenario. 

Keywords

Maintenance and repair system evaluation
Data-based theory
Maintenance and repair assessment criteria
Fuzzy Perceptual Mapping
paradigm pattern. 
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Journal of Quality Engineering and Management
Volume 9, Issue 1
Spring 2019
Pages 27-49

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