İLERİ TEKNOLOJİK UYGULAMALAR VE YENİ TEHLİKELER

Bir teknolojinin işletmeye entegre edilmesi ve sürdürülebilir hale gelmesi, iyi bir analiz ve sistemli bir işyeri organizasyonu ile sağlanabilir. Her şeyin daha bağlantılı (nesnelerin interneti, endüstriyel internet vb.) hale geldiği günümüz dünyasında risklerin analiz edilmesi geleneksel bakış açısına nazaran daha zordur. Bu çalışmada çok kriterli karar verme yöntemlerinden olan ve yaygın olarak kullanılan Analitik Hiyerarşi Proses (AHP) yöntemi kullanılmıştır. Çalışmada ileri teknolojik uygulamalar ve getirmiş olduğu riskler uzman kişilerin görüşleri alınarak belirlenmiştir. Buna göre, teknolojik iş kazaları, meslek hastalıkları, siber saldırılar, insan kaynaklı kazalar ana kriterler olarak belirlenmiştir. Alt kriterler ise, otomasyon ve robot kazaları, kimyasal ve biyolojik kaynaklı meslek hastalıkları, sabotaj ve kişisel verilere yönelik saldırılar, verilerin yanlış yorumlanması/ nitelikli çalışan azlığı olarak oluşturulmuştur. Uygulamanın çözümünde Microsoft Excel kullanılmış ve yapılan her bir analiz sonucu tutarlı çıkmıştır. Yapılan analiz sonucuna göre, ileri teknolojik uygulamalar ve getirmiş olduğu risklerin önem sıralamasında en önemli risk, 0.4755 ile meslek hastalıkları (K2) olurken, ana kriterlere bağlı olarak alt kriterlerde yapılan ikili karşılaştırmalarda ise 0.3518 Sabotaj ve Kişisel Verilere Yönelik Saldırı (Alt Kriter 3) en ağırlıklı alt kriter olmuştur.

ADVANCED TECHNOLOGICAL APPLICATION AND NEW HAZARDS

Integrating a technology into a business and making it sustainable can be achieved with a good analysis and a systematic workplace organization. In today's world, where everything has become more connected (Internet of Things, industrial internet, etc.), it is more difficult to analyze risks compared to the traditional point of view. Analyzing the risks and ranking them in order of importance is closely related to the proven dangers and risks of these technologies. In the study, advanced technological applications and the risks they bring were determined using expert opinions. Accordingly, technological work accidents, occupational diseases, cyber-attacks, and accidents based on human error were determined as the main criteria. The sub-criteria were determined as automation and robot accidents, occupational diseases of chemical and biological origin, sabotage and attacks on personal data, and misinterpretation of data/shortage of qualified employees. Microsoft Excel was used in the analysis of the application and the results of each analysis were found to be consistent. According to the analysis results, the most important risk in the order of importance of advanced technological applications and the risks they bring was Occupational Diseases (Criterion 2) with 0.4755, and the most weighted sub-criteria in the paired comparisons was Sabotage and Attack Against Personal Data (Sub-Criteria 3) while 0.3518.

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  • Dengiz, O. (2017). “Indusrty 4.0: Concept and Perception Revolution in Production. Journal of Machine Design and Manufacturing”, 15(1), pp.38, 2017.
  • Gartner, https://www.gartner.com Date of Access:23.01.2022.
  • M. Rüßmann, M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel, M. Harnisch (2015). “Industry 4.0: The future of productivity and growth in manufacturing industries”, Boston Consulting Group, 9(1), pp.1.
  • Milinković, A., Milinković, S., L. Lazić (2014). “Some experiences in building IoT platform, 22nd Telecommunications forum TELFOR”, 1138-1141, Serbia, Belgrade, Nov, pp.25-27.
  • Ray, P.P. (2016). “A Survey of IoT Cloud Platforms”, Future Computin and Informatics Journal, 1(1-2), pp.35-46. Yavuz, O. (2021), “The effect of ınterest level on Indusrty 4.0 Tool Used in Production on the Export of High-Tech Products”, Journal of Business Studies,13(1), pp.825-843, 2021.
  • Bahrin, M.A.K., Othman, M.F., Azli, M.F. Talib (2016). “Industry 4.0: A review on industrial automation and robotic”, Jurnal Teknologi, (78), pp.6-13.
  • Gülenç, İ.F. and Bilgin, G.A. (2010).“A Model Proposal for Investment Decisions: AHP Method”. Suggestion Magazine, 9(34), pp.97, 2010.
  • Demirci, R., Semiz, S. ve Gölcü, M. (2008), “Use of Advanced Technology and Competition in Businesses: A Field Study in the Automotive Indusrty”, Journal of Polytechnic,1(2), pp.139.
  • Semiz, S. (2004). “Strategic Technology Management in Enterprises Producing with Advanced Technology: A Field Study. Doctoral Thesis”G.U. Graduate School of Natural and Applied Sciencess, Ankara, pp.122-132, 2004.
  • Güleş, H.K. and Çağlıyan, V. (2003).“The Effect of Using Advanced Manufacturing Techologies on Business Performance: An Application in Small and Medium-Sized Industrial Enterprises”, This Feas Journal of Social and Economic Research,3(5), pp.77, 2003.
  • Gönen, S., Yılmaz, E. N., Şanoğlu, S. Karacayılmaz, G. and Özbirinci, Ö. (2021).“Forherren Component in the Development Process of Indusrty 4.0: Cyber Security”. Duzce University Journal of Science and Technology, (9), pp.1144.
  • Alçın, S. (2016). “A New Path for Production: Indusrty 4.0”, Journal of Life Economics, (8),pp.19-30.
  • Serinikli, N. (2018).“Impact of Indusrty 4.0 on Private, Public and Cooperative Sectors”, SDU Faculty of Economics and Administrative Sciences, (23), pp.1615.
  • Çelen, S. (2017).“Indusrty 4.0 and Simulation”, Internatıonal Journal Of 3d Prıntıng Technologıes And Dıgıtal Industry 1(1), pp.10.
  • Görcün, Ö.F. (2016). “Fourth Industrial Revolution Indusrty 4.0”, Beta Publishing, (İstanbul).
  • Miligram, P. and Kishino, F. (2016).” A taxonomy of mixed reality visual displays”, IEICE Transactions on Information Systems, 77(12), pp.1321-1329.
  • Somyürek, S. (2014). Somyürek, “Attracting the Attention of Generation Z in the Teaching Process:Augmented Reality”, Educational Technology, Theory and Pratictive, 4(1), pp.63-80.
  • Aktan, E. (2018). “Big Data: Application Areas, Analytics and Security Dimension”, Information Management Journal, 1(1), pp.1-20.
  • Davutoğlu, N.A., Akgül, B. and Yıldız, E. (2017). “Ensuring Change Effectively by Creating Awareness with the Concept of Indusrty 4.0 in Business Management”, Academic Journal of Social Studies, 5(52), pp.544-567, 2017.
  • Sayar, M. and Yüksel, H. (2018). “Indusrty 4.0 and Indusrty Transformation in the Turkish Public Sector”, Journal of Law and Economic Studies, 10(2), pp.11.
  • Fong, J., Rouhani, H. and Tavakoli, M. (2019). “A Therapist-Taught Robotic System for Assistance During Gait Therapy Targeting Foot Drop”, IEEE Robot. Autom. Lett., 4(2), pp.407-413.
  • Bıngol, M.C. and Aydoğmuş, O.(2019). “Development and Implementation of an Accessible Neural Network Based Software Using Multi-Channel Communational for Human Safety in Human-Robt İnteraction”, Fırat University Eng. Know Maganize, 31(2), pp.489.
  • İlhan, M.N., Kurtcebe,Z.Ö., Durukan,E., Koşar,L. (2006).“Socio-Demographic Characteristic and Working Conditions of Cleaning Workers and Frequency of Work Accidents and Occupational Diseases”, Fırat University Helath Sciences Medical Journal, 20(6), pp.433-439.
  • Güven, R. (2012).“Ocupational Diseases in the World and in Our Country”, Ankara, Ministry of Labour and Social Security, General Directorate of Occupatinal Health and Safety.
  • Yavuz, C.I. and Erdoğan,S.(2001). “Chemicals at Work”, TTB Journal of Occupational Health and Safety, pp.33.
  • Tarım, M. (2017). “Occupational Accident and Occupational Diseases in the Chemical Indusrty”, Istanbul Commerce University Journal of Science, 16(32), pp.49.
  • Alıcı, N.Ş. Beyan, A.C. and Şimşek,C.(2020). “Covid-19 and Lungs: What Chest Diseasess Specialist Need to Know, Covid-19 as an OccupationalDisease”,Http://www.Solunum.Org.Tr/Tusaddata/Userfiles/File/EJP-EK-SAYI-COVID19. 27042020.Pdf#, pp.149.
  • Walker, J. T., Bradshaw, D. J., Finney, M., Fulford M. R., Frandsen E., Østergaard E., ten Cate J. M., Moorer W. R., Schel A. J., Mavridou A., Kamma J. J., Mandilara G., Stösser L., Kneist S., Araujo R., Contreras N., Goroncy-Bermes P., O'Mullane D., Burke F., Forde A., O'Sullivan M. & Marsh P. D. (2004). Microbiological Evaluation of Dental Unit Water Systems in General Dental Practice in Europe. European Journal of Oral Sciences, 112, pp.412-418.
  • Ağar, A. (2021). “Biological Risk Factor in Working life and Covid-19”, Journal of Public Health Nursing, 3(2), pp.135.
  • Yıldırım, E.Y. (2018).“Cyber Attacks on Information Systems and Ensuring Cyber Security”, 2.nd International Professional Science Symposium, IVSS, pp.2.
  • Miller,K.L.(2016).“About Reasonable Cybersecurity: A Proactive and Adaptive Approach”,The Florida Bar Journal, 90:22.
  • Doğru, B.N. and ve Mecik,O. (2018). “The Effects of Indusrty 4.0 on the Labor Market in Türkiye: Firm Expectations”, SDU Faculty of Economics and Administrative Sciences, (23), pp.1582.
  • Gürsakal,N. (2017). “Machne Learning and Deep Learning”. Dora Publish Distribution, (Bursa).
  • Yaralıoğlu, K. (2001). “Analytical Hierrachy Process in Performance Evaluation”, Dokuz Eylül University İ.İ.B.F., 16(1), pp.129-142.
  • Chin, K.S., Chiu, S. & Tummala, V.M.R. (1999).“An Evaluation of Success Factors Using the AHP to Implement ISO 14001-Based EMS”, The International Journal of Quality and Reliability Management, 16(4), pp.341-361.
  • Gülenç, İ.F. and Bilgin,G.A.(2010). “A Model Proposal for Investment Decision: AHP Method”, Suggestion Journal, 9 (34), pp.98.
  • T.L. Saaty, T.L. (2000). “Fundamentals of Decision Making and Priority Theory with The Analytic Hierarchy Process, Rws Publications, (6).
  • Özbek, A. and Eren, T. (2012). “Determination of Third Party Logistics (3PL) Firm by Analytical Hierarchy Process (AHS)”, International Journal of Engineering Research and Development, 4(2), pp.46-54.
  • T.L. Saaty, T.L. (2008). “Decision Making With the Analytic Hieararchy Process”, Int. J. Services SCI, pp.84-86.
  • Vidya, O.S. (2006). “Analytic hieararchy process: An overview of application”, European Journal of Operational Research, (169), pp.1-29.