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Taguchi Kayıp Fonksiyonları ve Analitik Hiyerarşi Süreci Kullanılarak Bakım Politikalarının Değerlendirilmesi

Year 2018, Issue: 14, 198 - 203, 31.12.2018
https://doi.org/10.31590/ejosat.442767

Abstract

Yüksek düzeyde otomasyon
içeren günümüz üretim ortamında, bir firmanın varlığını sürdürebilmesi büyük
oranda üretimde kullanılan makinaların yüksek kullanılabilirlik oranlarına
sahip olmasına bağlıdır. Yüksek makina kullanılabilirlik oranları doğru bakım
politikalarının uygulanması ile elde edilebilir. Doğru bir bakım politikasının
belirlenmesi ise çok sayıda kriterin dikkate alınmasını gerektirir.  Bu çalışmada en uygun bakım politikasının
belirlenmesi için Analitik Hiyerarşi Süreci (AHS)'ni ve Taguchi kayıp
fonksiyonlarını entegre eden bir metodoloji geliştirilmiştir. Bu metodolojide
Taguchi kayıp fonksiyonları bakım politikası değerlendirmek için ilk defa
kullanılmış ve bu fonksiyonların kullanımı hem soyut hem de somut bakım
politikası değerlendirme kriterlerinin dikkate alınmasını sağlamıştır.
Geliştirilen metodolojinin uygulanabilirliği ve etkinliği, bir toz boya
fabrikasındaki boya makinaları için en uygun bakım politikası belirlenerek
gösterilmiştir.

References

  • Dhillon BS. Engineering maintenance: a modern approach. Boca Raton, CRC Press, 2002.
  • Mobley RK. Maintenance fundamentals. Oxford, UK, Butterworth-Heinemann, 2011.
  • Shafiee M. "Maintenance strategy selection problem: an MCDM overview". Journal of Quality in Maintenance Engineering, 21 (4), 378-402, 2015.
  • Arunraj NS, Maiti J. "Risk-based maintenance policy selection using AHP and goal programming". Safety Science, 48 (2), 238-247, 2010.
  • Zaim S, Turkyilmaz A, Acar MF, Al-Turki U, Demirel OF. "Maintenance strategy selection using AHP and ANP algorithms: a case study". Journal of Quality in Maintenance Engineering, 18 (1), 16-29, 2012.
  • Emovon I, Norman RA, Murphy AJ. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems". Journal of Intelligent Manufacturing, in press 2015.
  • Braglia M, Castellano D, Frosolini M. "An integer linear programming approach to maintenance strategies selection". International Journal of Quality & Reliability Management, 30 (9), 991-1016, 2013.
  • Gupta S, Maiti J, Kumar R, Kumar U. "A control chart guided maintenance policy selection". International Journal of Mining, Reclamation and Environment, 23 (3), 216-226, 2009.
  • Carazas FG, Souza GFM. "Risk-based decision making method for maintenance policy selection of thermal power plant equipment". Energy, 35 (2), 964-975, 2010.
  • Ding S-H, Kamaruddin S. "Maintenance policy optimization—literature review and directions". The International Journal of Advanced Manufacturing Technology, 76 (5), 1263-1283, 2015.
  • Saaty TL. The Analytic Hierarchy Process. New York, McGraw-Hill, 1980.
  • Taguchi G. Introduction to Quality Engineering. Tokyo, Japan, Asian Productivity Organization, 1990.
  • Besterfield DH, Besterfield-Michna C, Besterfield GH, Besrterfield-Sacre M. Total Quality Management. 3rd edition ed. Upper Saddle River, New Jersey, Prentice Hall, 2003.
  • Pi W-N, Low C. "Supplier evaluation and selection via Taguchi loss functions and an AHP". The International Journal of Advanced Manufacturing Technology, 27 (5-6), 625-630, 2006.
  • Bevilacqua M, Braglia M. "The analytic hierarchy process applied to maintenance strategy selection". Reliability Engineering & System Safety, 70 (1), 71-83, 2000.
  • Fouladgar MM, Yazdani-Chamzini A, Lashgari A, Zavadskas EK, Turskis Z. "Maintenance strategy selection using AHP and COPRAS under fuzzy environment". International Journal of Strategic Property Management, 16 (1), 85-104, 2012.
  • Azadeh A, Abdolhossein Zadeh S. "An integrated fuzzy analytic hierarchy process and fuzzy multiple-criteria decision-making simulation approach for maintenance policy selection". Simulation, 92 (1), 3-18, 2016.
  • Goossens AJM, Basten RJI. "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships". Reliability Engineering & System Safety, 142, 31-41, 2015.

Evaluation of Maintenance Policies Using Taguchi Loss Functions and Analytical Hierarchy Process

Year 2018, Issue: 14, 198 - 203, 31.12.2018
https://doi.org/10.31590/ejosat.442767

Abstract



The existence of a company in today’s highly automated production
environment largely depends on the high availability rates of production
machines. High machine availability rates can only be achieved by applying
suitable maintenance policies. Determination of a suitable maintenance policy
requires the consideration of many factors. In this study, a new methodology
integrating Analytical Hierarchy Process (AHP) and Taguchi loss functions was
developed for the determination of the most suitable maintenance policy. This
methodology represents the first use of Taguchi loss functions for maintenance
policy evaluation and the use of these functions ensured the consideration of
tangible and intangible maintenance policy evaluation criteria. Applicability
and effectiveness of the developed methodology was justified by determining the
most suitable maintenance policy for the coating machines of a powder coating
factory.

References

  • Dhillon BS. Engineering maintenance: a modern approach. Boca Raton, CRC Press, 2002.
  • Mobley RK. Maintenance fundamentals. Oxford, UK, Butterworth-Heinemann, 2011.
  • Shafiee M. "Maintenance strategy selection problem: an MCDM overview". Journal of Quality in Maintenance Engineering, 21 (4), 378-402, 2015.
  • Arunraj NS, Maiti J. "Risk-based maintenance policy selection using AHP and goal programming". Safety Science, 48 (2), 238-247, 2010.
  • Zaim S, Turkyilmaz A, Acar MF, Al-Turki U, Demirel OF. "Maintenance strategy selection using AHP and ANP algorithms: a case study". Journal of Quality in Maintenance Engineering, 18 (1), 16-29, 2012.
  • Emovon I, Norman RA, Murphy AJ. "Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems". Journal of Intelligent Manufacturing, in press 2015.
  • Braglia M, Castellano D, Frosolini M. "An integer linear programming approach to maintenance strategies selection". International Journal of Quality & Reliability Management, 30 (9), 991-1016, 2013.
  • Gupta S, Maiti J, Kumar R, Kumar U. "A control chart guided maintenance policy selection". International Journal of Mining, Reclamation and Environment, 23 (3), 216-226, 2009.
  • Carazas FG, Souza GFM. "Risk-based decision making method for maintenance policy selection of thermal power plant equipment". Energy, 35 (2), 964-975, 2010.
  • Ding S-H, Kamaruddin S. "Maintenance policy optimization—literature review and directions". The International Journal of Advanced Manufacturing Technology, 76 (5), 1263-1283, 2015.
  • Saaty TL. The Analytic Hierarchy Process. New York, McGraw-Hill, 1980.
  • Taguchi G. Introduction to Quality Engineering. Tokyo, Japan, Asian Productivity Organization, 1990.
  • Besterfield DH, Besterfield-Michna C, Besterfield GH, Besrterfield-Sacre M. Total Quality Management. 3rd edition ed. Upper Saddle River, New Jersey, Prentice Hall, 2003.
  • Pi W-N, Low C. "Supplier evaluation and selection via Taguchi loss functions and an AHP". The International Journal of Advanced Manufacturing Technology, 27 (5-6), 625-630, 2006.
  • Bevilacqua M, Braglia M. "The analytic hierarchy process applied to maintenance strategy selection". Reliability Engineering & System Safety, 70 (1), 71-83, 2000.
  • Fouladgar MM, Yazdani-Chamzini A, Lashgari A, Zavadskas EK, Turskis Z. "Maintenance strategy selection using AHP and COPRAS under fuzzy environment". International Journal of Strategic Property Management, 16 (1), 85-104, 2012.
  • Azadeh A, Abdolhossein Zadeh S. "An integrated fuzzy analytic hierarchy process and fuzzy multiple-criteria decision-making simulation approach for maintenance policy selection". Simulation, 92 (1), 3-18, 2016.
  • Goossens AJM, Basten RJI. "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships". Reliability Engineering & System Safety, 142, 31-41, 2015.
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Mehmet Ali Ilgın 0000-0003-1765-2470

Seda Hasanoğlu This is me

Publication Date December 31, 2018
Published in Issue Year 2018 Issue: 14

Cite

APA Ilgın, M. A., & Hasanoğlu, S. (2018). Evaluation of Maintenance Policies Using Taguchi Loss Functions and Analytical Hierarchy Process. Avrupa Bilim Ve Teknoloji Dergisi(14), 198-203. https://doi.org/10.31590/ejosat.442767