Achieving productive reliability through applying statistical distribution functions

PurposeThe 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 functi...

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Bibliographic Details
Published in:The International journal of quality & reliability management 2020-12, Vol.37 (8), p.1125-1149
Main Authors: Karbasian, Mahdi, Rostamkhani, Ramin
Format: Article
Language:English
Subjects:
Breakdowns
Cost reduction
Decision making
Defense industry
Distribution functions
Failure
Failure times
Lean manufacturing
Machinery
Maintenance management
Manufacturers
Mathematical functions
Mathematical models
Numerical controls
Preventive maintenance
Probability distribution
Productivity
Reliability
Software
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Summary:PurposeThe 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/approachThe 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).FindingsA 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/valueThe originality of the research was ascertained by managers and experts working in maintenance issues at the different levels of the Defense Industries Organization.
ISSN:0265-671X
1758-6682
DOI:10.1108/IJQRM-11-2018-0298