SANAYİ 4.0 OLGUNLUK DÜZEYİNİN DEĞERLENDİRİLMESİNE YÖNELİK ÇOK KRİTERLİ BİR YAKLAŞIM: LOJİSTİK SEKTÖRÜ UYGULAMASI

Yıl 2020, Cilt: 38 Sayı: 4, 655 - 693, 28.12.2020

Birdoğan Baki , Duygu Serdar

https://doi.org/10.17065/huniibf.693578

Cited By: 3

Öz

Son dönemlerde ortaya çıkan en önemli kavramlardan biri olan Sanayi 4.0, firmaların hem daha yüksek teknolojik seviyeye hem de daha yüksek verimlilik düzeyine ulaşmasına imkan sağlamaktadır. Sanayi 4.0 olgunluk modelleri ise, çeşitli göstergelerle/kriterlerle firmaların mevcut durumlarını ölçerek olması gereken yere nasıl ulaşacağını ve firmaların Sanayi 4.0’a hazır olma durumlarını değerlendiren modellerdir. Bu çalışmanın amacı, IMPULS olgunluk modeli ile lojistik firmaların Sanayi 4.0 olgunluk düzeylerinin değerlendirilmesine yönelik iki farklı yaklaşım önermektir. Bu amaçla, önerilen Ağırlıklandırılmış Olgunluk Puan Hesaplama Modeli Yaklaşımı (AHP-Olgunluk Puan Hesaplama Yöntemi) ve Çok Kriterli Olgunluk Modeli Yaklaşımı (AHP-TOPSIS ve AHP-VIKOR) ile firmaların sıralaması gerçekleştirilmiştir. Elde edilen bulgular, AHP yöntemiyle kriter ağırlıklarının hesaplanması sonucunda en yüksek ağırlığa sahip kriterin strateji ve organizasyon olduğunu göstermektedir. Ayrıca, önerilen her iki yaklaşımında benzer sonuçlar verdiği ve olgunluk düzeyinin ölçümünde kullanılabileceği sonucuna varılmıştır. 

Anahtar Kelimeler

Sanayi 4.0, olgunluk modeli, lojistik, TOPSIS

A MULTI CRITERIA APPROACH BASED ON EVALUATION OF INDUSTRY 4.0 MATURITY LEVEL: THE CASE OF LOGISTICS SECTOR

Öz

Industry 4.0, one of the most important concepts in recent years, allows companies to reach both a higher technological level and a higher productivity level. Industry 4.0 maturity models evaluate the current status of companies and whether companies are ready for Industry 4.0 using various indicators/criteria.The aim of this study is to propose two different approaches to evaluate the Industry 4.0 maturity levels of logistics firms with the IMPULS maturity model. For this purpose, the firms are ranked by Weighted Maturity Score Calculation Model Approach (AHP-Maturity score calculation method) and Multi Criteria Maturity Model Approach (AHP-TOPSIS and AHP-VIKOR), respectively. The findings show that the criterion strategy and organization has the highest value as a result of calculating the criteria weights by using AHP. Besides, it is concluded that both approaches give similar results and can be used in the measurement of maturity level.

Anahtar Kelimeler

Industry 4.0, maturity model, Logistics, TOPSIS, VIKOR

Kaynakça

• Akdil, K.Y., A. Ustundag, E. Cevikcan (2018), “Maturity and Readiness Model for Industry 4.0 Strategy”, Industry 4.0: Managing The Digital Transformation, 54, 61-94. An, S-H., G-H. Kim, K-I. Kang (2007), “A Case-Based Reasoning Cost Estimating Model Using Experience by Analytic Hierarchy Process”, Building and Environment, 42(7), 2573–2579.
• Asdecker, B., V. Felch (2018), “Development of an Industry 4.0 Maturity Model for the Delivery Process in Supply Chains”, Journal of Modelling in Management, 13 (4), 840-883. Ataman, A.C. (2018), Savunma Sanayinde Endüstri 4.0 Olgunluk Parametrelerinin Tereddütlü Bulanık AHP Yöntemi İle Önceliklendirilmesi, Yüksek Lisans Tezi, Bahçeşehir Üniversitesi, Fen Bilimleri Enstitüsü.
• Bandara, O.K.K., V.K. Tharaka, A.P.R. Wickramarachchi (2019), “Industry 4.0 Maturity Assessment of the Banking Sector of Sri Lanka”, International Research Conference on Smart Computing and Systems Engineering (SCSE), IEEE, 190-195.
• Barata, J., P.R. Cunha (2017), “Climbing the Maturity Ladder in Industry 4.0: A Framework for Diagnosis and Action that Combines National and Sectorial Strategies”, Twenty-third Americas Conference on Information Systems (AMCIS), Boston, 1-10.
• Barreto, L., A. Amaral, T. Pereira (2017), “Industry 4.0 Implications in Logistics: An Overview”, Procedia Manufacturing, 13, 1245-1252.
• Basl, J. (2018), “Analysis of Industry 4.0 Readiness Indexes and Maturity Models and Proposal of the Dimension for Enterprise Information Systems”, International Conference on Research and Practical Issues of Enterprise Information Systems, 327, 57-68.
• Batz, Aglaya., J.O. Szłapka, A. Stachowiak, G. Pawłowski, K. Maruszewska (2019), “Identification of Logistics 4.0 Maturity Levels in Polish Companies-Framework of the Model and Preliminary Research”, in Grzybowska K., Awasthi, A., Sawhney, R. (editors), Sustainable Logistics and Production in Industry 4.0: New Opportunities and Challenges, Poland: Springer, 161-175.
• Bauer, W., B. Pokorni, S. Findeisen (2019), “Production Assessment- Methods fort he Development and Evaluation of Industry 4.0 Use Cases”, International Conference on Applied Human Factors and Ergonomics, 793, 501-510.
• Behzadian, M., S.K. Otaghsara, M. Yazdani, J. Ignatius (2012), “A state-of the-art survey of TOPSIS applications”, Expert Systems with Applications, 39(17), 13051-13069.
• Bibby, L., B. Dehe (2018), “Defining and assessing industry 4.0 maturity levels – case of the defence sector”, Production Planning & Control, 29(12), 1030-1043.
• Bittighofer, D., M. Dust, A. Irslinger, M. Liebich, L. Martin (2018), “State of Industry 4.0 Across German Companies A Pilot Study”, International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, 1-8.
• Brozzi, R., R.D.D’Amico, G.P. Monizza, C. Marcher, M. Riedl, D. Matt (2018), “Design of Self-Assessment Tools to Measure Industry 4.0 Readiness. A Methodological Approach for Craftsmanship SMEs”, IFIP International Conference on Product Lifecycle Management, 540, 566–578.
• Caiado, R.G.G., L.F. Scavarda, D.L.M. Nascimento, P. Ivson, V.H.C. Cunha (2020), “A Maturity Model for Manufacturing 4.0 in Emerging Countries”, International Conference on Production and Operations Management Society, 393-402.
• Canetta, L., A. Barni, E. Montini (2018), “Development of a Digitalization Maturity Model for the Manufacturing Sector”, International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, 1-7.
• Carolis, A.D., M. Macchi, B. Kulvatunyou, M. P. Brundage, S. Terzi (2017c), “Maturity Models and Tools for Enabling Smart Manufacturing Systems: Comparison and Reflections for Future Developments”, IFIP International Conference on Product Lifecycle Management, 517, 23-35.
• Carolis, A.D., M. Macchi, E. Negri, S. Terzi (2017a), “A Maturity Model for Assessing the Digital Readiness of Manufacturing Companies”, IFIP International Conference on Advances in Production Management Systems, 513, 13-20.
• Carolis, A.D., M. Macchi, S. Terzi (2017b), “Guiding Manufacturing Companies Towards Digitalization: A Methodology for Supporting Manufacturing Companies in Defining Their Digitalization Roadmap”, International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, 487-495.
• Cimini, C., A. Lagorio, F. Pirola, R. Pinto (2019), “Exploring Human Factors in Logistics 4.0: Empirical Evidence From A Case Study”, IFAC-PapersOnLine, 52(13), 2183-2188.
• Colli, M., O. Madsen, U. Berger, C. Møller, B.V. Wæhrens, M. Bockholt (2018), “Contextualizing the Outcome of a Maturity Assessment for Industry 4.0”, International Federation of Automatic Control Papers Online, 51(11), 1347–1352.
• Çakır, S., S. Perçin (2013), “AB Ülkeleri’nde Bütünleşik Entropi Ağırlık-Topsis Yöntemiyle Ar-Ge Performansının Ölçülmesi”, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1), 77-95.
• Dutta, G., R. Kumar, R. Sindhwan, R.K. Singh (2020), “Digital Transformation Priorities of India’s Discrete Manufacturing SMEs-A Conceptual Study in Perspective of Industry 4.0”, An International Business Journal, 30(3), 289-314.
• Elnagar, S., H. Weistroffer, M. Thomas (2019), “Agile Requirement Engineering Maturity Framework for Industry 4.0”, European, Mediterranean and Middle Eastern Conference on Information Systems, 341, 405–418.
• Fatorachian, H., H. Kazemi (2020), “Impact of Industry 4.0 on Supply Chain Performance”, Production Planning & Control, DOI: 10.1080/09537287.2020.1712487
• Frederico, G.F., J.A.G. Reyes, A. Anosike, V. Kumar (2020), “Supply Chain 4.0: Concepts, Maturity and Research Agenda”, Supply Chain Management: An International Journal, 25(2), 262–282.
• Felch, V., B. Asdecker, E. Sucky (2019), “Maturity Models in the Age of Industry 4.0 – Do the Available Models Correspond to the Needs of Business Practice?”, Proceedings of the 52nd Hawaii International Conference on System Sciences, 5165-5174.
• Fettermann, D.C., C.G.S. Cavalcante, T.D. Almeida, G.L. Tortorella (2018), “How Does Industry 4.0 Contribute to Operations Management?”, Journal of Industrial and Production Engineering, 35(4), 255-268.
• Fu, H-P., T-H. Chang, A. Lin, Z-J. Du, K-Y. Hsu (2015), “Key Factors for The Adoption of RFID in The Logistics Industry in Taiwan”, The International Journal of Logistics Management, 26(1), 61-81.
• Gajsek, B., M. Sternad (2019), “Information Flow in the Context of the Green Concept, Industry 4.0, and Supply Chain Integration”, Integration of Information Flow for Greening Supply Chain Management, 297-323.
• Ganzarain, J., N. Errasti (2016), “Three Stage Maturity Model in SME’s towards Industry 4.0”, Journal of Industrial Engineering and Management, 9(5), 1119-1128.
• Garcia J.L., A. Alvarado, J. Blanco, E. Jiménez, A.A. Maldonado, G. Cortés (2014), “Multi-attribute Evaluation and Selection of Sites for Agricultural Product Warehouses Based on an Analytic Hierarchy Process”, Computers and Electronics in Agriculture, 100, 60-69.
• Gärtner, B. (2018), “Step-by-Step to Industrie 4.0 Maturity Index Helps Manufacturer Create a Roadmap for the Future”, Plant Engineering, 72(1), 14-15.
• Ghobakhloo, M. (2018), “The Future of Manufacturing Industry: A Strategic Roadmap Toward Industry 4.0”, Journal of Manufacturing Technology Management, 29(6), 910-936.
• Gökalp, E., U. Sener (2017), “Development of an Assessment Model for Industry 4.0: Industry 4.0-MM”, International Conference on Software Process Improvement and Capability Determination, 770, 128-142.
• Hamidi, S.R., A.A. Aziz, S.M. Shuhidan, A.A. Aziz, M. Mokhsin (2018), “SMEs Maturity Model Assessment of IR4.0 Digital Transformation”, International Conference on Kansei Engineering & Emotion Research, 739, 721-732.
• Hu, J., S. Gao (2019), “Research and Application of Capability Maturity Model for Chinese Intelligent Manufacturing”, Procedia CIRP, 83, 794-799.
• Issa, A., B. Hatiboglu, A. Bildstein, T. Bauernhansl (2018), “Industrie 4.0 Roadmap: Framework for Digital Transformation Based on the Concepts of Capability Maturity and Alignment”, Procedia CIRP, 72, 973–978.
• İçten, T., G. Bal (2017), “Artırılmış Gerçeklik Teknolojisi Üzerine Yapılan Akademik Çalışmaların İçerik Analizi”, Bilişim Teknolojileri Dergisi, 10(4), 401-415.
• Jæger, B., L.L. Halse (2017), “The IoT Technological Maturity Assessment Scorecard: A Case Study of Norwegian Manufacturing Companies”, IFIP International Conference on Advances in Production Management Systems, 513, 143-150.
• Kagermann H., W. Wahlster, J. Helbig (2013), “Securing the Future of German Manufacturing Industry: Recommendations for Implementing the Strategic Initiative Industrıe 4.0. Final Report of the Industrie 4.0Working Group”, https://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for implementing-industry-4-0-data.pdf (25.10.2018).
• Kaltenbach, F., P. Marber, C. Gosemann, T. Bölts, A. Kühn (2018), “Smart Services Maturity Level in Germany”, International Conference on Engineering, Technology and Innovation (ICE/ITMC), IEEE, 1-7.
• Kampker, A., J. Frank, R. Emonts-Holley, P. Jussen (2018), “Development of Maturity Levels for Agile Industrial Service Companies”, IFIP International Conference on Advances in Production Management Systems, 536, 11-19.
• Keskin, F.D., İ. Kabasakal, Y. Kaymaz, H. Soyuer (2019), “An Assessment Model for Organizational Adoption of Industry 4.0 Based on Multi-criteria Decision Techniques”, The International Symposium for Production Research, 85–100.
• Klötzer, C., A. Pflaum (2017), “Toward the Development of a Maturity Model for Digitalization within the Manufacturing Industry’s Supply Chain”, Hawaii International Conference on System Sciences (HICSS), 50, 4210-4219.
• Kolla, S., M. Minufekr, P. Plapper (2019), “Deriving Essential Components of Lean and Industry 4.0 Assessment Model for Manufacturing SMEs”, Procedia CIRP, 81, 753-758.
• Koyuncu, C.A. (2019), “Endüstri 4.0 Mevcut Durum Analizi ve Benzetim Uygulamalı Geçiş Metodolojisi”, Yüksek Lisans Tezi, Süleyman Demirel Üniversitesi, Fen Bilimleri Enstitüsü.
• Leineweber, S., T. Wienbruch, D. K. D. Lins, K. Dietera, B. Kuhlenkötter (2018), “Concept for an Evolutionary Maturity Based Industrie 4.0 Migration Model”, Procedia CIRP, 72, 404-409.
• Leyh, C., T. Schäffer, K. Bley, S. Forstenhäusler (2017), “Assessing the IT and Software Landscapes of Industry 4.0-Enterprises: The Maturity Model SIMMI 4.0”, Conference on Information Systems Management, Conference on Advanced Information Technologies for Management, 277, 103-119.
• Li, C.H., H.K. Lau (2019), “A Critical Review of Maturity Models in Information Technology and Human Landscapes on Industry 4.0”, International Conference on Industrial Technology (ICIT), IEEE, 1575-1579.
• Lichtblau, K., V. Stich, R. Bertenrath, M. Blum, M. Bleider, A. Millack, K. Schmitt, E. Schmitz, M. Schröter (2015), “IMPULS Industry 4.0 Readiness”, https://industrie40.vdma.org/documents/4214230/26342484/Industrie_40_Readiness_Study_1529498007918.pdf/0b5fd521-9ee2-2de0-f377-93bdd01ed1c8 (21.07.2018).
• Lu, Y. (2017), “Industry 4.0: A Survey on Technologies, Applications and Open Research Issues”, Journal of Industrial Information Integration, 6, 1-10.
• Lu, H-P., C-I. Weng (2018), “Smart Manufacturing Technology, Market Maturity Analysis and Technology Roadmap in the Computer and Electronic Product Manufacturing Industry”, Technological Forecasting & Social Change, 113, 85-94.
• Ludwig, F. (2016), “Business Models Enabled by Industrie 4.0 and Internet of Things”, Yüksek Lisans Tezi, Unıversity Of Rhode Island.
• Machado, C.G., M. Winroth, D. Carlsson, P. Almström, V. Centerholt, M. Hallin (2019), “Industrie 4.0 Readiness in Manufacturing Companies: Challengers and Enablers Towards Increased Digitalization”, Procedia CIRP, 81, 1113-1118.
• Majstorović, V.D., R.M. Mitrović, Z.Z. Mišković (2020), “Assessing Industry 4.0 Readiness in Manufacturing Companies from Serbia”, Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing, 69-79.
• Mayusda, I., I. Wiratmadja (2019), “The Development of Industry 4.0 Readiness Model. Case Study in Indonesia’s Priority Industrial Sector of Chemical”, Proceedings of the International Manufacturing Engineering Conference & The Asia Pacific Conference on Manufacturing Systems, 140-146.
• Methavitakul, B., S. Santiteerakul (2018), “Analysis of Key Dimension and Sub-Dimension for Supply Chian of Industry to Fourth Industry”, International Conference on Service Operations and Logistics and Informatics (SOLI), IEEE, 191-195.
• Mittal, S., D. Romero, T. Wuest (2018b), “Towards a Smart Manufacturing Maturity Model for SMEs (SM3E)”, IFIP International Conference on Advances in Production Management Systems, 536, 155-163.
• Mittal, S., M.A. Khan, D. Romero, T. Wuest (2018a), “A Critical Review of Smart Manufacturing & Industry 4.0 Maturity Models: Implications for Small and Medium-Sized Enterprises (SMEs)”, Journal of Manufacturing Systems, 49, 194-214.
• Müller, J.M., K-I. Voigt (2018), “The Impact of Industry 4.0 on Supply Chains in Engineer-to-Order Industries - An Exploratory Case Study”, IFAC-PapersOnLine, 51(11), 122-127.
• Mrugalska, B., A. S. Piekarska (2020), “Readiness and Maturity of Manufacturing Enterprises for Industry 4.0”, International Conference on Applied Human Factors and Ergonomics, 263-270.
• Nausch, M., A. Schumacher, W. Sihn (2019), “Assessment of Organizational Capability for Data Utilization – A Readiness Model in the Context of Industry 4.0”, International Conference on Production Research, 243-252.
• Nick, G., A. Szaller, J. Bergmann, T. Vargedo (2019), “Industry 4.0 readiness in Hungary: Model, and the first results in connnection to data application”, IFAC PapersOnLine, 52, 289–294.
• Odważny, F., D. Wojtkowiak, P. Cyplik, M. Adamczak (2019), “Concept for Measuring Organizational Maturity Supporting Sustainable Development Goals”, Scientific Journal of Logistics, 15 (2), 237-247.
• Oğuz, A., T. Ustasülayman (2015), “Analitik Hiyerarşi Sürecini Kullanarak ISO 9001: 2008’e Dayalı Kalite Yönetim Sistemi ile Müşteri Memnuniyeti Arasındaki İlişkinin Değerlendirilmesi”, KTÜ Sosyal Bilimler Dergisi, 9, 25-37.
• Opricovic, S., G-H, Tzeng (2004), “Compromise Solution by MCDM Methods: A comparative analysis of VIKOR and TOPSIS”, European Journal of Operational Research, 156, 445-455.
• Opricovic, S., G-H, Tzeng (2007), “Extended VIKOR Method in Comparison with Outranking Methods”, European Journal of Operational Research, 178, 514–529.
• Ömürgönülşen, M., B. Çekiç, İ.M. Ar (2020), “Lojistik Firmalarında Endüstri 4.0 Uyum Sürecinde Dikkate Alınacak Faktörlerin Bulanık Dematel Yöntemi ile Değerlendirilmesi”, Uluslararası İktisadi ve İdari İncelemeler Dergisi (Prof. Dr. Talha Ustasüleyman Özel Sayısı), 167-184.
• Pacchini, A.P.T., W.C. Lucato, F. Facchini, G. Mummolo (2019), “The Degree of Readiness for the Implementation of Industry 4.0”, Computers in Industry, 113, 1-8.
• Pamuk, N.S. (2019), “ Endüstri 4.0 Sürecinin Teknoloji Kabul Modeli ve Teknolojik Yatkınlık Endeksi Çerçevesinde Davranışsal Açıdan İncelenmesi”, Yüksek Lisans Tezi, Hacettepe Üniversitesi, Sosyal Bilimler Enstitüsü.
• Perçin, S., Ö. Sönmez (2018), “Bütünleşik Entropi Ağırlık ve TOPSIS Yöntemleri Kullanılarak Türk Sigorta Şirketlerinin Performansının Ölçülmesi”, Uluslararası İktisadi ve İdari İncelemeler Dergisi, 565-582.
• Pirola, F., C. Cimini, R. Pinto (2019), “Digital readiness assessment of Italian SMEs: a case-study research”, Journal of Manufacturing Technology Management, DOI: 10.1108/JMTM-09-2018-0305.
• Puchan, J., A. Zeifang, J-D. Leu (2018), “Industry 4.0 in Practice – Identification of Industry 4.0 Success Patterns”, International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE, 1091-1095.
• Rajnai, Z., I. Kocsis (2018), “Assessing Industry 4.0 Readiness of Enterprises”, 16th World Symposium on Applied Machine Intelligence and Informatics (SAMI), IEEE, 225-230.
• Ruggero, S.M., N.A. Santos, J.B. Sacomano, A.C. Estender, M.T. Silva (2020), “Industry 4.0: Maturity of Automotive Companies in Brazil for the Digitization of Processes”, IFIP International Conference on Advances in Production Management Systems, 131-138.
• Rübel, S., A. Emrich, S. Klein, P. Loos (2018), “A Maturity Model for Business Model Management in Industry 4.0”, Germany, 2031-2042.
• Saaty, T.L. (1994), “How to Make a Decision: The Analytic Hierarchy Process”, Interfaces, 24(6), 19-43.
• Santos, K.C.P., E.F.R. Loures, O.C. Junior, E. A.P. Santos (2018), “Product Lifecycle Management Maturity Models in Industry 4.0”, IFIP International Conference on Product Lifecycle Management, 540, 659–669.
• Santos, R.C., J.L. Martinho (2019), “An Industry 4.0 Maturity Model Proposal”, Journal of Manufacturing Technology Management, DOI: 10.1108/JMTM-09-2018-0284. Schuh, G., T. Potente, C.W. Potente, A.R.. Weber, J.P. Prote (2014), “Collaboration Mechanisms to increase Productivity in the Context of Industrie 4.0”, Procedia CIRP, 19, 51-56. Schumacher, A., S. Erol, W. Sihn (2016), “A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises”, Prodecia CIRP, 52, 161-166.
• Schumacher, A., T. Nemeth, W. Sihn (2019), “Roadmapping Towards industrial Digitalization Based on an Industry 4.0 Maturity Model for Manufacturing Enterprises”, Prodecia CIRP, 79, 409-414.
• Shyjith, K., M. Ilangkumaran, S. Kumanan (2008), “Multi-Criteria Decision-Making Approach to Evaluate Optimum Maintenance Strategy in Textile Industry”, Journal of Quality in Maintenance Engineering, 14(4), 375-386.
• Sjödin, D.R., V. Parida, M. Leksell, A. Petrovic (2018), “Smart Factory Implementation and Process Innovation”, Research-Technology Management, 61(5), 22-30.
• Sony, M., S. Naik (2019), “Key Ingredients for Evaluating Industry 4.0 Readiness for Organizations: A Literature Review”, https://doi.org/10.1108/BIJ-09-2018-0284 E.T.:(01.05.2019).
• Sternad, M., T. Lerher, B. Gajšek (2018), “Maturity Levels For Logistics 4.0 Based On Nrw's Industry 4.0 Maturity Model”, 18th International Scientific Conference Business Logistics in Modern Management, 695-708.
• Stich, V., G. Gudergan, V. Zeller (2018), “Need and Solution to Transform the Manufacturing Industry in the Age of Industry 4.0 – A Capability Maturity Index Approach”, Working Conference on Virtual Enterprises, 534, 33-42.
• Stich, V., S. Schmitz, V. Zeller (2017), “Relevant Capabilities for Information Management to Achieve Industrie 4.0 Maturity”, Working Conference on Virtual Enterprises, 506, 28-38.
• Tadeu, H.F.B., A.L.C.M. Duarte, C. Taurion, G.L. Jamil (2018), “Digital Transformation: Digital Maturity Applied to Study Brazilian Perspective for Industry 4.0”, Best Practices in Manufacturing Processes-Experiences from latin America, Springer, Switzerland, 3-27.
• Temur, G.T., H.B. Bolat, S. Gözlü (2019), “Evaluation of Industry 4.0 Readiness Level: Cases from Turkey”, The International Symposium for Production Research, 412-425.
• Torbacki, W., K. Kijewska (2019), “Identifying Key Performance Indicators to be Used in Logistics 4.0 and Industry 4.0 for the Needs of Sustainable Municipal Logistics by Means of the DEMATEL Method”, Transportation Research Procedia, 39, 534-543.
• Trotta, D., P. Garengo (2019), “Assessing Industry 4.0 Maturity: An Essential Scale for SMEs”, International Conference on Industrial Technology and Management, IEEE, 69-74.
• Türkoğlu, E. (2018), “Firmaların Endüstri 4.0'a Hazırlık Çalışmalarının Değerlendirilmesi: Bursa İlindeki Uygulaması”, Yüksek Lisans Tezi, Bahçeşehir Üniversitesi, Sosyal Bilimler Enstitüsü.
• Xing, K., D. H. Cropley, M. L. Oppert, C. Singh (2020), “Readiness for Digital Innovation and Industry 4.0 Transformation: Studies on Manufacturing Industries in the City of Salisbury”, Business Innovation with New ICT in the Asia-Pacific: Case Studies, 155-176.
• Wagire, A. A., R. Joshi, A. P. S. Rathore, R. Jain (2020), “Development of Maturity Model for Assessing the Implementation of Industry 4.0: Learning From Theory and Practice”, Production Planning & Control, DOI: 10.1080/09537287.2020.1744763.
• Weber, C., J. Königsberger, L. Kassner, B. Mitschang (2017), “M2DDM-A Maturity Model for Data-Driven Manufacturing”, Procedia CIRP, 63, 173-178.
• Wienbruch, T., S. Leineweber, D. Kreimeier, B. Kuhlenkötter (2018), “Evolution of SMEs Towards Industrie 4.0 Through a Scenario Based Learning Factory Training”, Procedia Manufacturing, 23, 141-146.
• Wiesner, S., P. Gaiardelli, N. Gritti, G. Oberti (2018), “Maturity Models for Digitalization in Manufacturing-Applicability for SMEs”, IFIP International Conference on Advances in Production Management Systems, 536, 81-88.
• Winkelhaus, S., E.H. Grosse (2020), “Logistics 4.0: A Systematic Review Towards a New Logistics System”, International Journal of Production Research, 58(1), 18-43.
• Yıldız, A., M. Deveci (2013), “Bulanık VIKOR Yöntemine Dayalı Personel Seçim Süreci”, Ege Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 13(4), 427-436.
• Zeller, V., C. Hocken, V. Stich (2018), “Acatech Industrie 4.0 Maturity Index – A Multidimensional Maturity Model”, IFIP International Conference on Advances in Production Management Systems, 536, 105-113.
• Zhu, H. (2017), “Development of Smart Industry Maturıty Model”, Master Graduation Thesis, University of Twente