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Tytuł artykułu

Modelling and Simulation the Value Stream Mapping – Case Study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Digitization in the production area represents the integrated planning and management of production and logistics systems and networks based on digital models, methods, and tools, which are built on a common flexible information and communication platform. Currently known and used Lean tools need to be dynamized and oriented to the creation of digital business, where digital models can be heterogeneous, respectively usable in several projects. One of these possibilities is the use of the Lean production method – Value Stream Mapping, the potential of which in the context of the above mentioned is great. The aim of the presented article is based on Gemba analysis of the production process to process the value stream in the environment of the software tool TX Plant Simulation for the needs of flexible reflection on changes in various parameters within the value stream. The case study carried out under this article aims, among other things, to highlight the importance of combining simple Lean Production tools with software in finding, testing, and designing alternative solutions. The potential of using the processed model was also processed for the needs of digitization of business processes in the future.
Słowa kluczowe
Twórcy
  • Technical University of Košice, Faculty of Mechanical Engineering, Department of Management, Industrial and Digital Engineering, Park Komenského 9, 040 01 Košice, Slovak Republic, phone: +421 55 602 32 44
  • Technical University of Košice, Faculty of Mechanical Engineering, Department of Management, Industrial and Digital Engineering, Park Komenského 9, 040 01 Košice, Slovak Republic
  • Technical University of Košice, Faculty of Mechanical Engineering, Department of Management, Industrial and Digital Engineering, Park Komenského 9, 040 01 Košice, Slovak Republic
  • Slovak Legal Metrology n.o., Banska Bystrica, Slovakia
autor
  • Technical University of Košice, Faculty of Mechanical Engineering, Department of Management, Industrial and Digital Engineering, Park Komenského 9, 040 01 Košice, Slovak RepublicDic
Bibliografia
  • Bangsow, S. (2015). Tecnomatix Plant Simulation. Modeling and Programming by means of examples, Springer, Switzerland.
  • Bhat, R., Mohan, N., Naidu, M., and Shivamurthy, S. (2018). Reducing the Production Lead Time of an Industry Using Value Stream Mapping Integrated with Kaizen, International Journal of Engineering and Technology, 7, 21–23.
  • Chromjakova, F., Bobak, R., and Hrusecka, D. (2017). Production process stability – core assumption of Industry 4.0 concept, 5 th International Conference on Manufacturing, Optimization, Industrial and Material Engineering, 143–154.
  • Duplakova, D. Knapcikova, L., Radchenko, S., and Hatala, M. (2017). Software Support of Modelling using Ergonomic Tools in Engineering, TEM JOURNAL – Technology education management informatics, 6, 3, 567–571.
  • Fedorko, G., Vasil, M., and Bartosova, M. (2019). Use of simulation model for measurement of MilkRun system performance, Open Engineering, 9, 1, 600–605. doi: 10.1515/eng-2019-0067.
  • Grznar, P., Gregor, M., Mozol, S., Krajcovic, M., Dulina, L., Gaso, M., and Major, M. (2019). A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers, Sustainability, 11, 14, 1–36. doi: 10.3390/ su11143949.
  • Krajcovic, M., Hancinsky, V., Dulina, L., Grznar, P., Gaso, M., and Vaculik, J. (2019). Parameter Setting for a Genetic Algorithm Layout Planner as a Toll of Sustainable Manufacturing, Sustainability, 11, 7, 1– 26. doi: 10.3390/su11072083.
  • Kuperova, M. and Zatrochova, M. (2014). Logistics conceptions in the production management in small-and medium-sized industrial companies in the Slovak republic, Toyotarity, 135–146.
  • Micieta, B., Edl, M., Krajcovic, M., Dulina, L., Bubenik, P., Durica, L., and Binasova, V. (2018). Delegate MASs for coordination and control of one-directional AGV systems: a proof-of-concept, International Journal of Advanced Manufacturing Technology, 94, 1–4, 415–431. doi: 10.1007/s00170-017-0915-8.
  • Minh, N.D., Nguyen, N.D., and Cuong, P.K. (2019). Applying lean tools and principles to reduce cost of waste management: an emipirical research in Vietnam, Management and Production Engineering Review, 10, 1, 37–49. doi: 10.24425/mper.2019. 128242.
  • Plakhin, A.E., Al-Ogaili, S.M.M., Semenet, I.I., Kochergina, T.V., and Mihajlovskij, P.V. (2019). Development of the production system through lean management tools, IOP Conf. Series: Materials Science and Engineering, vol. 564, 012092 IOP Publishing. doi: 10.1088/1757-899X/564/1/012092.
  • Purba, H.H., Mukhlisin, and Aisyah, S. (2018). Productivity improvement picking order by appropriate method, value stream mapping analysis, and storage design: A case study in automotive part center, Management and Production Engineering Review, 9, 1, 71–81. doi: 10.24425/119402.
  • Rajnoha, R., Galova, K., and Rozsa, Z. (2018). Measurement of Impact of Selected Industrial Engineering Practices on Companies’ Economic Performance, Inzinerine Ekonomika-Engineering Economics, 29, 2, 176–187.
  • Rosová, A. (2010). The system of indicators of distribution logistics, transport logistics and material flow as a tool of controlling in logistics enterpise, Acta Montanistica Slovaca, 15, 1, 67–72.
  • Ruano, J.P., Hoyuelos, I., Mateo, M., and Gento, A.M. (2019). Lean school: a learning factory for trainning lean manufacturing in a physical simulation environment, Management and Production Engineering Review, 10, 1, 4–13. doi: 10.24425/mper.2019.128239.
  • Straka M. and Malindzak, D. (2009). Algorithms of capacity balancing of printing machineries for Alfa Foils, a.s. planning system, Acta Montanistica Slovaca, 14, 1, 98–102.
  • Straka, M., Rosova, A., Malindzakova, M., Khouri, S., and Culkova, K. (2018). Evaluating the Waste Incineration Process for Sustainable Development through Modelling, Logistics, and Simulation, Polish Journal of Environmental studies, 27, 6, 2739–2748. DOI: 10.15244/pjoes/81062.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7ea397ae-e21c-4276-b034-03c7ae52e9aa
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