ENDÜSTRİ 4.0 İLE ŞEKİLLENEN ÜRETİM SİSTEMLERİNDE DEĞER AKIŞ HARİTALAMA: SİSTEMATİK LİTERATÜR ANALİZİ VE KAVRAMSAL MODEL ÖNERİSİ

Üretim işletmelerinin kalite, esneklik, maliyet ve hız gibi performans kriterleri dahilinde rekabet güçlerini artırma amacı bulunmaktadır. Bu noktada etkin kararlar alma hususunda operasyonel performansı kontrol etmenin önemi ortaya çıkmaktadır. Üretim işletmelerinde dijital dönüşüm ile birlikte oluşan özellikle karmaşık ürün ortamlarında performansın kontrolü ve iyileştirilmesi için bilgi akışının izlenmesi bir gerekliliktir. Bu bağlamda Değer Akışı Haritalama (VSM), katma değeri olmayan faaliyetleri ortadan kaldırarak verimliliği en üst düzeye çıkarmak için kullanılan yalın tabanlı bir yöntemdir. Endüstri 4.0 (I4.0)'ın ortaya çıkmasıyla birlikte bu yaklaşım bazı değişikliklere uğramıştır. VSM, prensipte üretim ortamının sanallaştırılmasını sağlayarak fiziksel süreçleri dijital süreçlere dönüştürme konusunda öncül konumdadır. Bu nedenle, bu makalenin amacı, VSM yönteminin uygulamalarını I4.0 bağlamında gözden geçirmek ve bu tema için kavramsal bir çerçeve önermektir. Araştırmada, I4.0 teknolojileriyle entegre VSM yaklaşımlarının neler olduğu, I4.0 teknolojilerini VSM'yi nasıl desteklediği ve I4.0 bağlamında VSM'deki boşluklarının ve ana araştırma yönlerinin nasıl şekillendiği belirlenmek istenmektedir. Bu kapsamda, konu hakkında sistematik bir literatür taraması yapılarak 152 çalışma incelenmiştir. İncelenen çalışmalardan elde edilen kazanımlar ile bir sonuca ulaşılıp, I4.0 ile dönüşen VSM için kavramsal bir çerçeve oluşturulmaktadır.

Anahtar Kelimeler:

Değer Akışı Haritalaması, Dijital Dönüşüm, Endüstri 4.0, VSM 4.0, DVSM

PRODUCTION SYSTEMS TRANSFORMED BY INDUSTRY 4.0 AND VALUE STREAM MAPPİNG: SYSTEMATİC LİTERATURE ANALYSİS AND CONCEPTUAL MODEL PROPOSAL

Production enterprises aim to increase their competitiveness within the performance criteria such as quality, flexibility, cost and speed. At this point, the importance of controlling the operational performance in making effective decisions becomes apparent. Monitoring the information flow is a necessity for the control and improvement of performance, especially in complex product environments that occur with digital transformation in production enterprises. In this context, Value Stream Mapping (VSM) is a lean-based method used to maximize efficiency by eliminating non-value-added activities. With the emergence of Industry 4.0 (I4.0), this approach has undergone some changes. In principle, VSM is a pioneer in transforming physical processes into digital processes by enabling the virtualization of the production environment. Therefore, the purpose of this article is to review the applications of the VSM method in the context of I4.0 and to propose a conceptual framework for this theme. In the research, it is aimed to determine some issues such as what are VSM approaches integrated with I4.0 technologies, how I4.0 technologies support VSM, and how the gaps and main research directions in VSM are shaped in the context of I4.0. In this context, 152 studies are examined by making a systematic literature review on the subject. A conceptual framework is created for the VSM transformed with I4.0 by reaching a conclusion with the gains obtained from the studies examined.

Keywords:

Değer Akışı Haritalama Dijital Dönüşüm, Endüstri 4.0, VSM 4.0., DVSM., Değer Akışı Haritalaması,

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Ahmed, A., Hasnan, K., Aisham, B., & Bakhsh, Q. (2014). Integration of Value Stream Mapping with RFID, WSN and ZigBee Network. In Applied Mechanics and Materials (Vol. 465, pp. 769-773). Trans Tech Publications Ltd.
Aksar, O., Elgun, D., Beldek, T., Konyalıoğlu, A. K., & Camgöz-Akdağ, H. (2022). An Integrated Value Stream Mapping and Simulation Approach for a Production Line: A Turkish Automotive Industry Case. In Digitizing Production Systems (pp. 357-371). Springer, Cham.
Arey, D., Le, C. H., & Gao, J. (2021). Lean industry 4.0: a digital value stream approach to process improvement. Procedia Manufacturing, 54, 19-24.
Azevedo, B. D., Scavarda, L. F., & Caiado, R. G. G. (2019). Urban solid waste management in developing countries from the sustainable supply chain management perspective: A case study of Brazil's largest slum. Journal of cleaner production, 233, 1377-1386.
Balaji, V., Venkumar, P., Sabitha, M. S., & Amuthaguka, D. (2020). DVSMS: dynamic value stream mapping solution by applying IIoT. Sādhanā, 45(1), 1-13.
Ball, R. (2017). An introduction to bibliometrics: New development and trends. Chandos Publishing.
Boonsothonsatit, G., Tonchiangsai, K., & Choowitsakunlert, S. (2020, April). Value stream mapping-based logistics 4.0 readiness for Thailand automotive-part manufacturers. In Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering (pp. 309-313).
Busert, T., & Fay, A. (2019). Extended value stream mapping method for information based improvement of production logistics processes. IEEE Engineering Management Review, 47(4), 119-127.
Byrne, B., McDermott, O., & Noonan, J. (2021). Applying lean six sigma methodology to a pharmaceutical manufacturing facility: A case study. Processes, 9(3), 550.
Chen, J. C., & Chen, K. M. (2014). Application of ORFPM system for lean implementation: an industrial case study. The International Journal of Advanced Manufacturing Technology, 72(5), 839-852.
Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of informetrics, 5(1), 146-166.
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105(3), 1809-1831.
Elsevier, (2020). “Scopus Content Coverage Guide” accessed July 2022. https://www.elsevier.com/__data/assets/pdf_file/0007/69451/Scopus_ContentCoverage_Guide_WEB.pdf
de Paula Ferreira, W., Armellini, F., de Santa-Eulalia, L. A., & Thomasset-Laperrière, V. (2022). Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach. Journal of Manufacturing Systems, 63, 1-14.
Fink, A. (2019). Conducting research literature reviews: From the internet to paper. Sage publications. Glanzel, W. (2003). Bibliometrics as a research field a course on theory and application of bibliometric indicators. Course Handouts
Huang, Z., Kim, J., Sadri, A., Dowey, S., & Dargusch, M. S. (2019). Industry 4.0: Development of a multi-agent system for dynamic value stream mapping in SMEs. Journal of Manufacturing Systems, 52, 1-12.
Knoll, D., Reinhart, G., & Prüglmeier, M. (2019). Enabling value stream mapping for internal logistics using multidimensional process mining. Expert Systems with Applications, 124, 130-142.
Lins, M. G., Zotes, L. P., & Caiado, R. (2021). Critical factors for lean and innovation in services: from a systematic review to an empirical investigation. Total Quality Management & Business Excellence, 32(5-6), 606-631.
Lu, Y., Liu, Z., & Min, Q. (2021). A digital twin-enabled value stream mapping approach for production process reengineering in SMEs. International Journal of Computer Integrated Manufacturing, 34(7-8), 764-782.
Lugert, A., Völker, K., & Winkler, H. (2018). Dynamization of Value Stream Management by technical and managerial approach. Procedia CIRP, 72, 701-706.
Meudt, T., Metternich, J., & Abele, E. (2017). Value stream mapping 4.0: Holistic examination of value stream and information logistics in production. Cirp Annals, 66(1), 413-416.
Molenda, P., Jugenheimer, A., Haefner, C., Oechsle, O., & Karat, R. (2019). Methodology for the visualization, analysis and assessment of information processes in manufacturing companies. Procedia CIRP, 84, 5-10.
Nåfors, D., Bärring, M., Estienne, M., Johansson, B., & Wahlström, M. (2018). Supporting discrete event simulation with 3D laser scanning and value stream mapping: Benefits and drawbacks. Procedia CIRP, 72, 1536-1541.
Noyons, E., Moed, H., & Van Raan, A. (1999). Integrating research performance analysis and science mapping. Scientometrics, 46(3), 591-604.
Nygaard, J., Colli, M., & Wæhrens, B. V. (2020). A self-assessment framework for supporting continuous improvement through IoT integration. Procedia Manufacturing, 42, 344-350.
Oliveira, J., Sá, J. C., & Fernandes, A. (2017). Continuous improvement through" Lean Tools": An application in a mechanical company. Procedia Manufacturing, 13, 1082-1089.
Pagliosa, M., Tortorella, G., & Ferreira, J. C. E. (2019). Industry 4.0 and Lean Manufacturing: A systematic literature review and future research directions. Journal of Manufacturing Technology Management, 32(3), 543-569.
Pan, X., Yan, E., Cui, M., & Hua, W. (2018). Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools. Journal of informetrics, 12(2), 481-493.
Pekarcíková, M., Trebuňa, P., Kliment, M., Král, Š., & Dic, M. (2021). Modelling and Simulation the Value Stream Mapping–Case Study. Management and Production Engineering Review, 12.
Perianes-Rodriguez, A., Waltman, L., & Van Eck, N. J. (2016). Constructing bibliometric networks: A comparison between full and fractional counting. Journal of informetrics, 10(4), 1178-1195.
Phuong, N. A., & Guidat, T. (2018, July). Sustainable value stream mapping and technologies of Industry 4.0 in manufacturing process reconfiguration: A case study in an apparel company. In 2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (pp. 85-90). IEEE.
Ramadan, M., Alnahhal, M., & Noche, B. (2016). RFID-enabled real-time dynamic operations and material flow control in lean manufacturing. In Dynamics in Logistics (pp. 281-290). Springer, Cham.
Ribeiro, D., Bonfante, M., Frazzon, E., Forcellini, F. (2019). Value stream mapping and use of lean integrated simulation with cyber-physical systems in a flexible packaging industry. Producao Online, 19(1), 346-375. doi: 10.14488/1676-1901.v19i1.3363.
Ribeiro, D. R. S., Mendes, L. G., Forcellini, F. A., & Frazzon, E. M. (2022). Maintenance 4.0: A Literature Review and SWOT Analysis. In International Conference on Dynamics in Logistics (pp. 409-422). Springer, Cham.
Rother, M., & Shook, J. (2003). Learning to see: value stream mapping to add value and eliminate muda. Lean enterprise institute.
Salvador, R., Barros, M. V., dos Santos, G. E. T., van Mierlo, K. G., Piekarski, C. M., & de Francisco, A. C. (2021). Towards a green and fast production system: Integrating life cycle assessment and value stream mapping for decision making. Environmental Impact Assessment Review, 87, 106519.
Shou, W., Wang, J., Wu, P., & Wang, X. (2021). Lean management framework for improving maintenance operation: Development and application in the oil and gas industry. Production Planning & Control, 32(7), 585-602. Small, H. (1999). Visualizing science by citation mapping. Journal of the American society for Information Science, 50(9), 799-813.
Souza, N. L. S. D., Mendes, L. G., Rovaris, E. S., Frazzon, E. M., & Braghirolli, L. F. (2020, December). Integrated Production and Maintenance Planning: A Systematic Literature Review. In International Conference of Production Research–Americas (pp. 342-356). Springer, Cham.
Sullivan, W. G., McDonald, T. N., & Van Aken, E. M. (2002). Equipment replacement decisions and lean manufacturing. Robotics and computer-integrated manufacturing, 18(3-4), 255-265.
Thomé, A. M. T., Scavarda, L. F., & Scavarda, A. J. (2016). Conducting systematic literature review in operations management. Production Planning & Control, 27(5), 408-420.
Tortorella, G. L., & Fettermann, D. (2018). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. International Journal of Production Research, 56(8), 2975-2987.
Tortorella, G. L., Pradhan, N., Macias de Anda, E., Trevino Martinez, S., Sawhney, R., & Kumar, M. (2020). Designing lean value streams in the fourth industrial revolution era: proposition of technology-integrated guidelines. International Journal of Production Research, 58(16), 5020-5033.
Tripathi, V., Chattopadhyaya, S., Bhadauria, A., Sharma, S., Li, C., Pimenov, D. Y., ... & Gautam, G. D. (2021). An agile system to enhance productivity through a modified value stream mapping approach in industry 4.0: A novel approach. Sustainability, 13(21), 11997.
Tyagi, S., & Vadrevu, S. (2015). Immersive virtual reality to vindicate the application of value stream mapping in an US-based SME. The International Journal of Advanced Manufacturing Technology, 81(5), 1259-1272.
Valamede, L. S., & Akkari, A. C. S. (2020). Lean 4.0: A new holistic approach for the integration of lean manufacturing tools and digital technologies. International Journal of Mathematical, Engineering and Management Sciences, 5(5), 851.
Van Eck, N.J. and Waltman, L. (2020). VOSviewer Manual, Universitteit Leiden, https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.16.pdf/ (Erişim Tarihi: 19.09.2022).
Wagner, T., Herrmann, C., & Thiede, S. (2018). Identifying target oriented Industrie 4.0 potentials in lean automotive electronics value streams. Procedia CIRP, 72, 1003-1008.
Wang, H. N., He, Q. Q., Zhang, Z., Peng, T., & Tang, R. Z. (2021). Framework of automated value stream mapping for lean production under the Industry 4.0 paradigm. Journal of Zhejiang University-SCIENCE A, 22(5), 382-395.
Wang, P., Wu, P., Chi, H. L., & Li, X. (2020). Adopting lean thinking in virtual reality-based personalized operation training using value stream mapping. Automation in Construction, 119, 103355.