TÜRKİYE’DEKİ BAKIM YÖNETİM VE KESTİRİMCİ BAKIM BİLİŞİM SİSTEMLERİNİN FİRMALARA ÖZGÜ DURUMLARI ÜZERİNE BİR SAHA ARAŞTIRMASI

Year 2022, , 123 - 140, 12.01.2022

Arafat Salih Aydıner , Burak Kubilay

https://doi.org/10.51551/verimlilik.986969

Cited By: 2

Abstract

Amaç: Çalışmada, sanayideki dijital dönüşüm süreçleri ile Türkiye’de bakım yönetim ve kestirimci bakım bilişim sistemleri kullanımlarının firmaya özgü durumlar karşısındaki olası farklılıklarının incelenmesi amaçlanmıştır.

Yöntem: Ampirik yöntemin benimsendiği çalışmada, 641 bakım sektör profesyoneline uygulanan anket ile elde edilen veriler sistem ve bütüncül yaklaşımlar ışığında parametrik olmayan Kruskall Wallis ve Mann Whitney fark testlerine tabi tutulmuştur.

Bulgular: Bakım yönetim bilişim sistemleri, bakım performans göstergeleri ve kestirimci bakım bilişim sistemleri test değişkenlerinin firmaya özgü durumların kullanım şeklinin literatür ile paralel olan ve olmayan farklılıklar gösterdiği ve Türkiyede düşük verimlilik düzeyi olduğu yönünde bulgulara ulaşılmıştır.

Özgünlük: Makalede, çoğunlukla alt-sistem düzeyinde özel çalışmalara odaklanan literatürdeki boşluğa işaret edilerek bakım bilişim teknolojisi yatırımları, organizasyonel seviyede yapılan değerlendirmeler ile firmaya özgü durumlar ele alınmış, bilgisayarlı bakım yönetim ve kestirimci bakım bilişim sistemlerinin gösterdiği farklılığın yanı sıra bakım performans göstergelerinin bu iki değişkenle ilintisi bütüncül bir yaklaşım ile ortaya konulmuştur.

Keywords

Bakım Yönetim Bilişim Sistemleri, Bakım Performans Göstergeleri, Kestirimci Bakım Bilişim Sistemleri

A FIELD RESEARCH ON THE COMPANYS' SPECIFIC CONDITIONS of MAINTENANCE MANAGEMENT AND PREDICTIVE MAINTENANCE INFORMATION SYSTEMS IN TURKEY

Abstract

Purpose: This study is aimed to examine the possible differences between the use of maintenance management and predictive maintenance information systems in Turkey, which is an important research area with the digital transformation developments in the industry, against company-specific conditions.

Methodology: In the study, the empirical method was adopted. The data obtained by the survey questionnaire was applied to 641 maintenance sector professionals. Non-parametric Kruskall Wallis and Mann Whitney difference tests were applied for the data. System and holistic therotical approaches are adapted.

Findings: It has been found that maintenance management information systems, maintenance performance indicators and predictive maintenance information systems test variables show differences in the way of using at company-specific conditions that there is a low level of productivity related to maintenance management in Turkey.

Originality: In the article, maintenance information systems` investments and company-specific conditions are evaluated by organizational level approach. The relationships between the variables are investigated in a holistic way. Also, the study introduces the gap in the literature, which mostly focuses on special studies at the sub-system level.

Keywords

Maintenance Management Information Systems, Maintenance Performance Indicators, Predictive Maintenance Information Systems

References

• Accorsi, R., Gallo, A., Tufano, A., Bortolini, M., Penazzi, S. ve Manzini, R. (2019). “A Tailored Maintenance Management System to Control Spare Parts Life Cycle”, 29th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2019), Limerick, 92-99.
• Al-Najjar, B. ve Alsyouf, I. (2004). “Enhancing a Company's Profitability and Competitiveness Using Integrated Vibration-Based Maintenance: A Case Study”, European Journal of Operational Research, 157, 643-657.
• Alsyouf, I. (2006). “Measuring Maintenance Performance Using a Balanced Scorecard Approach”, Journal of Quality in Maintenance Engineering, 12(2), 133-149.
• Alsyouf, I. (2009). “Maintenance Practices in Swedish Industries : Survey Results”, International Journal of Production Economics, 121, 212-223.
• Aydıner, A.S. ve Tatoğlu, E. (2019). “Türkiye'deki İşletmelerde Bilişim Sistemleri Uygulamaları Üzerine Bir Saha Araştırması”, Bilişim Teknolojileri Dergisi, 12(1), 59-73.
• Azahar, N.F. ve Mydin, M.O. (2014). “Potential of Computerized Maintenance Management System in Facilities Management”, Annals of the University of Oradea, 1, 51-59.
• Bakanlar Kurulu, (2005). “Küçük ve Orta Büyüklükteki İşletmelerin Tanımı, Nitelikleri ve Sınıflandırılması Hakkındaki Yönetmelik”, Türkiye Cumhuriyeti Resmi Gazetesi, 25997(5-44), 1-14.
• Ben-Daya, M., Duffuaa, S.O., Raouf, A., Knezevic, J. ve Ait-Kadi, D. (2009). “Handbook of Maintenance Management and Engineering”, Springer Publication, London.
• Bıçakçı, İ., İç, Y.T., Karasakal, E., Dengiz, B. (2020). “Entegre Lojistik Sistemler için Bir Onarım Ağı Yapısı Önerisi”, Journal of Turkish Operation Management, (4)2, 409-423.
• Biroğul, S. ve Koçer, K. (2018). “Web ve Mobil Tabanlı Bakım Onarım ve Varlık Yönetim Sisteminde Önbellekleme Yaklaşımları”, Mühendislik Bilimleri ve Tasarım Dergisi, 6(4), 579-589.
• Bottani, E., Ferretti, G., Montanari, R. ve Vignali, G. (2014). “An Empirical Study on the Relationships Between Miantenance Policies and Approaches Among Italian Companies”, Journal of Quality in Maintenance Engineering, 20(2), 135-162.
• Chen, D.Q., Mocker, M. ve Preston, D.S. (2010). “Information Systems Strategy Reconceptualization, Measurement and Implications”, MIS Quarterly, 34(2), 233-259.
• Chen, Y., Wang, Y., Nevo, S., Benitez-Amado, J. ve Kou, G. (2015). “IT Cababilities and Product Innovation Performance: The Roles of Corporate Entrepreneurship and Competitive Intensity”, Information & Management, 52, 643-657.
• Desirey, S.T. (2000). “Positioning Maintenance as a Competitive Advantage”, https://www.plantengineering.com/articles/positioning-maintenance-as-a-competitive-advantage/ (Erişim Tarihi: 04.12.2020).
• Durmuş, B., Yurtkoru, E.S. ve Çinko, M. (2018). “Sosyal Bilimlerde SPSS'le Veri Analizi”, Beta Yayınevi, İstanbul. Fumagalli, L., Macchi, M. ve Rapaccini, M. (2009). “Computerized Maintenance Management Systems in SMEs: A Survey in Italy and Some Remarks for the Implementation of Condition Based Maintenance”, 13th IFAC Symposium on Information Control Problems in Manufacturing, Moscow, 1615-1619.
• Gulati, R. ve Smith, R. (2009). “Maintenance and Reliability Best Practices”, Industrial Press, New York. Ilangkumaran, M. ve Kumanan, S. (2012). “Application of Hybrid VIKOR Model in Selection of Maintenance Strategy”, International Journal of Information Systems and Supply Chain Management, 5(2), 59-81.
• Ilgın, M.A., Söyler, D., Sözen, K. (2016). “İstatistiksel Süreç Kontrolü Prensiplerini Kullanarak Bir Kestirimci Bakım Bilgi Sisteminin Geliştirilmesi”, Bilişim Teknolojileri Dergisi, 9(2), 55-61.
• ISO 14224, (2006). “ISO 14224 Standarts: 2006”, Cenova. Hastings, J.N.A. (2015). “Physical Asset Management”, Springer International Publishing AG Switzerland, New York.
• Jimenez, M.J.J., Schwartz, S., Vingerhoeds, R., Grabot, B. ve Salaün, M. (2020). “Towards Multi-Model Approaches to Predictive Maintenance: A Systematic Literature Survey on Diagnostics and Prognostics”, Journal of Manufacturing Systems, 56, 539-557.
• Kans, M. (2008). “An Approach for Determining the Requirements of Computerised Maintenance Management Systems”, Computers in Industry, 59, 32-40.
• KIZRAK, M.A. ve BOLAT, B. (2019). “Uçak Motoru Sağlığı için Uzun-Kısa Süreli Bellek Yöntemi ile Öngörücü Bakım”, Bilişim Teknolojileri Dergisi, 12(2), 103-109.
• Koçel, T. (2011). “İşletme Yöneticiliği”, Beta Yayıncılık, İstanbul. Kutucuoğlu, K.Y., Hamalı, J., Iranı, Z. ve Sharp, J.M. (2001). “A Framework for Managing Maintenance Using Performance Measurement Systems”, International Journal of Operations & Production Management, 21(1/2), 173-194.
• Labib, A.W. (1998). “World-Class Maintenance Using a Computerised Maintenance Management System”, Journal of Quality in Maintenance Engineering, 4, 66-75.
• Lopes, I., Senra, P., Vilarinho, S., Sa, V., Teixeria, C., Lopes, J., Alves, A.,Oliveria, A.O. ve Figueiredo, M. (2016). “Requirements Specification of a Computerized Maintenance Management - A Case Study”, Procedia CIRP, 52, 268-273.
• Magalhaes, R. (2004). “The Holistic Approach to Information Systems Implementation”, Proceedings of the Portuguese Association for Information Systems Conference, Lisbon, 1-11.
• Majeed Ali, A.A. (2007). “Application of Computerized Maintenance Management System In Industry”, International Conferenece on Computers and Industrial Engineering, Alexandria, 984-995.
• Mani, D., Barua, A. ve Whinston, A. (2010). “An Empirical Analysis of the Impact of Information Cababilities Design on Business Process Outsorcing Performance”, MIS Quarterly, 34(1), 39-62.
• Mathews, I., Mathews, E.H., Van Laar, J.H., Hamer, W. ve Kleingeld, M. (2020). “A Simulation - Based Prediction Model for Coal-Fired Power Plant Condenser Maintenance”, Applied Thermal Engineering, 174, 1-10.
• Muchiri, P., Pintelon, L., Gelders, L. ve Martin , H. (2010). “Development of Maintenance Function Performance Measurement Framework and Indicators”, International Journal of Production Economics, 1-8.
• Presser, S., Couper, M.P., Lessler, J.T., Martin, E., Martin, J., Rothgeb, J.M. ve Singer, E. (2004). “Methods for Testing and Evaluating Survey Questions”, Public Opinion Quarterly, 68(1), 109-130.
• Pwc ve Mainnovation, (2017). “Predictive Miantenance 4.0 Predict the Unpredictable”, Pwc; Mainnovation Report, 1-32.
• Rousopoulou, V., Nizamis, A., Vafeiadis, T., Ioannidis, D. ve Tzovaras, D. (2020). “Predictive Maintenance for Injection Moulding Machines Enabled by Cognitive Analytics for Industry 4.0”, Frontiers in Artificial Intelligence, 3, 1-12.
• Simoes, J.M., Gomes, C.F. ve Yasin, M.M. (2011). “A Literature Review of Maintenance Performance Measurement A Conceptual Framework and Directions for Future Research”, Journal of Quality in Maintenance Engineering, 17(2), 116-137.
• Swanson, L. (1997). “Computerized Maintenance Management Systems : A Study of System Design and Use”, Production and Inventory Management Journal, 38(2), 11-15.
• Swanson, L. (2001). “Linking Maintenance Strategies to Performance”, International Journal of Production Economics, 70, 237-244.
• Swanson, L. (2003). “An Information Processing Model of Maintenance Management”, International Journal of Production Economics, 83, 45-64.
• Tran Anh, D., Dabrowski, K. ve Skrzypek, K. (2018). “The Predictive Maintenance Concept in Maintenance Department of the "Industry 4.0" Production Enterprise”, Foundations of Management, 10, 283-291.
• Velmuguran, R.S., ve Dhingra, T. (2014). “Maintenance Strategy Selection and Its Impact in Maintenance Function A Conceptual Framework”, International Journal of Operations & Production Managament, 35(12), 1622-1661.
• Wienker, M., Henderson, K. ve Volkerts, J. (2016). “The Computerized Maintenance Management System An Essential Tool for World Class Maintenance”, Procedia Engineering, 138, 413-420.
• Wijesinghe, D. ve Mallawarachchi, H. (2019). “A Systematic Approach for Maintenance Performance Measurement Apparel Industry in Sri Lanka”, Journal of Quality in Maintenance Engineering, 25(1), 41-53.
• Zhou, K.Z., Li, J.J., Zhou, N. ve Su, C. (2008). “Market Orientation, Job Satisfaction, Product Quality and Firm Performance Evidence From China”, Strategic Management Journal, 29(9), 985-1000.
• Zonta, T., Andre Da Costa, C., Da Rosa Righi, R., Jose de Lima, M., Da Trindade, E S. ve Pyng Li, G. (2020). “Predictive Maintenance in The Industry 4.0 A systematic Literature Review”, Computers & Industrial Engineering, 150, 1-17.