Author:
Karbasian Mahdi,Rostamkhani Ramin
Abstract
Purpose
The purpose of this paper is to find the proper statistical distribution function, which can cover the failure time of a single machine or a group of machines. To this end, an innovative program is written in an Excel software, capable of assessing at least six statistical distribution functions. This research study intends to show the advantages of applying statistical distribution functions in an integrated model format to create or increase productive reliability machines. Productive reliability is a simultaneous combination of efficiency and effectiveness in reliability.
Design/methodology/approach
The method of theoretical research methodology comprises data collection tools, reference books and articles in addition to exploiting written reports of the Iranian Center for Defence’s Standards. The practical research method includes deploying and assessing the proposed model for a selected machine (in this case a computerized numerical control machine).
Findings
A comprehensive program in an Excel software having the capability of assessing at least six statistical distribution functions was developed to find the most efficient option for covering the failure times of each machine in the shortest time with the highest precision. This is regarded as the most important achievement of the present study. Furthermore, the advantages of applying the developed model are discussed and a large group of which have direct influences on the productivity of equipment reliability.
Originality/value
The originality of the research was ascertained by managers and experts working in maintenance issues at the different levels of the Defense Industries Organization.
Subject
Strategy and Management,General Business, Management and Accounting
Reference20 articles.
1. Total productive maintenance: literature review and directions;International Journal of Quality & Reliability Management,2008
2. The evolution of system reliability optimization;Reliability Engineering and System Safety,2018
3. System for controlling the accuracy and reliability of machining operations on machining centers,2013
4. A decision support maintenance management system;International Journal of Quality & Reliability Management,2003
5. Application of the mixed Weibull distribution in machine reliability analysis for a cell formation problem;International Journal of Quality & Reliability Management,2017
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