Development of the TRIZ Contradiction Matrix to Select Appropriate Procative Maintenance Tactics Using the meta-synthesis method; Case Study: NISOC

Subject Areas : Industrial Management

mohammad amin mortazavi ¹ ( Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran )
Atefeh Amindoust ² ( Department of Industrial Engineering, Najafabad Branch, Islamic Azad university, Najafabad, Iran )
arash shahin ³ ( Department of Management,University of Isfahan,Isfahan,Iran )
mehdi karbasian ⁴ ( Department of Industrial Engineering, Malek Ashtar University of Technology, Isfahan, Iran )

Received: 2022-03-09 Accepted : 2022-10-10 Published : 2022-10-23

Keywords: TRIZ, ANP, Procative Maintenance, Meta-synthesis,

Abstract :

The effective selection of maintenance tactics in the industry according to the factors and conditions affecting each of the equipment, shows the need to use innovative approaches. The purpose of this study is to obtain a matrix similar to the TRIZ contradictions matrix so that with the help of this matrix, appropriate maintenance tactics and functional repairs can be selected according to the condition of each equipment. In this study, in order to compare and analyze qualitative data, the , Meta-synthesis method has been used, so for this purpose, various databases, publications and search engines between 1960 and 2022 have been studied. The result of the studies performed using the , Meta-synthesis method is the extraction of 115 valid and related articles. In this research, the relationship between TRIZ principles and operational maintenance tactics has been obtained using the , Meta-synthesis method.The result of this research is the achievement of a matrix similar to the TRIZ contradiction matrix with the ability to provide and select maintenance tactics, corresponding to the parameters affecting each equipment. In order to make the right decision, the final results in each of the matrix cells of this study are prioritized using decision making methods. This matrix assists managers and maintenance specialists in decision-making and increases the speed of decision-making and selection of appropriate tactics. . Finally, the resulting matrix has been studied for evaluation in the National Iranian South Oilfields Company.

References:

1. Aslam‐Zainudeen, N., & Labib, A. (2011). Practical application of the decision making grid (DMG). Journal of Quality in Maintenance Engineering, 17, 138-149.


2. Bayat, A., & Torbati, F. (2016). A model for deciding on multiple criteria with the aim of prioritizing net strategies, 12^th National Conference on Maintenance and Repairs, Tehran, Iranian Maintenance Association.


3. Ghasemi, A., & Rayatpishe, M. (2016). Presenting a Model for Assessing of Supply Chain Sustainability with Meta Synthesis Approach. Journal of Executive Management, 7(14), 91-112.


4. Goossens, A. J., & Basten, R. J. (2015). Exploring maintenance policy selection using the Analytic Hierarchy Process; an application for naval ships. Reliability Engineering & System Safety, 142, 31-41.


5. Kurian, Mary & P.R., Shalij & V.R., Pramod. (2019). Maintenance strategy selection in a cement industry using analytic network process. Journal of Quality in Maintenance Engineering. ahead-of-print. 10.1108/JQME-07-2017-0048.


6. Khazraei, K., & Deuse, J. (2011). A strategic standpoint on maintenance taxonomy. Journal of Facilities Management.


7. Khosravi, M., & Moharremi. (2016), The need to pay attention to the systematic problem solving technique (TRIZ) in reliability-based maintenance (RCM), the 3^rd conference on recent innovations in industrial engineering and mechanical engineering, Tehran.


8. Manian, A., Moosakhani, M., Hassanzadeh, A. R., & Jami Pour, M. (2014). Designing a Maturity Model of KM Aligned with Business Strategies Using Meta Synthesis Method. Journal of information technology management, 6(2), 307-332.


9. Mortazavi, M. A., Amindoust, A. T. E. F. E. H., Shahin, A. R. A. S. H., & Karbasian, M. E. H. D. I. (2020). Identification and Extraction of Factors Affecting Maintenance Strategy Selection With 39 Parameters of TRIZ Approach Using Meta-Synthesis. Journal of Critical Review, 7, 2428-2447.


10. Rajabi, Reza & Tavakoli, Ali & Shadkam, Elham. (2012). Using AHP and TOPSIS techniques: Case study of Tabarak Industrial Unit. 7^th International Conference on Innovation and Research in Engineering Sciences, select the best design and repair strategy.


11. Seecharan, T., Labib, A., & Jardine, A. (2018). Maintenance strategies: decision making grid vs Jack-Knife diagram. Journal of Quality in Maintenance Engineering.


12. Trojan, F., & Marçal, R. F. (2017). Proposal of maintenance-types classification to clarify maintenance concepts in production and operations management. Journal of Business Economics, 8(7), 560-572.


13. Terninko, J., Zusman, A., & Zlotin, B. (2001). Systematic innovation: an introduction to TRIZ (theory of inventive problem solving). (Translated by Alireza Mansourian), Tehran: Rasa Publications.


14. Vaneker, T., & Van Diepen, T. (2016). Design support for maintenance tasks using TRIZ. Procedia CIRP, 39, 67-72.