Abstract
The uncertainty of today’s globalized economy requires prompt responses by companies, responding to rapid changes in customer demand. The last thing a company wants is an inflexible production system that cannot respond quickly. Companies’ situation largely depends on reacting promptly to changing customer requirements. Of course, all these activities must also generate some profit for society. In achieving its objectives, the company must pay particular attention to reducing production costs. Therefore, improving production processes is becoming increasingly important. The improvement consists in identifying and eliminating losses that occur in production. Managing and improving business processes is a regular part of a successful company, no matter which segment the company operates. With increasing competition in a market economy, it is essential to optimize production processes. The textile market is oversaturated, supply exceeds demand, and companies have to put an even bigger stop on streamlining internal processes. It is mainly a matter of eliminating waste from various sources and does not add value for consumers’ willingness to pay. This paper aims to use selected lean manufacturing tools to minimize inefficient work activities and time losses.
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References
Kiyko, S., Druzhinin, E., Prokhorov, O., Ivanov, V., Haidabrus, B., Grabis, J.: Logistics control of the resources flow in energy-saving projects: case study for metallurgical industry. Acta Logistica 7(1), 49–60 (2020). https://doi.org/10.22306/al.v7i1.159
Pinto, J.L., Matias, J.C.O., Pimentel, C., Azevedo, S.G., Govindan, K.: Just in Time Factory: Implementation Through Lean Manufacturing Tools. Springer, Heidelberg (2018)
Lengvarská, I.: Optimization of production process in the manufacturing enterprise. FVT TUKE (2020)
Rother, M., Shook, J.: Learning to See: Value Stream Mapping to Add Value and Eliminate Muda, 1st edn. Lean Enterprise Institute (1999)
Scotchmer, A.: 5S Kaizen in 90 Minutes. Management Books (2008)
Kotliar, A., et al.: Ensuring the economic efficiency of enterprises by multi-criteria selection of the optimal manufacturing process. Manag. Prod. Eng. Rev. 11(1), 52–61 (2020). https://doi.org/10.24425/mper.2020.132943
Ivanov, V., Dehtiarov, I., Pavlenko, I., Kosov, M., Hatala, M.: Technological assurance and features of fork-type parts machining. In: Ivanov, V., et al. (eds.) DSMIE 2019. LNME, pp. 114–125. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22365-6_12
Smith, K., Hanover, D.: Experiential Marketing: Secrets, Strategies, and Success Stories from the World’s Greatest Brands. Wiley, Hoboken (2016)
Pacaiova, H., Sinay, J., Turisova, R., et al.: Measuring the qualitative factors on copper wire surface. Measurement 109, 359–365 (2017)
Mesaros, P., et al.: The impact of information and communication technology on cost reducing in the execution phase of construction projects. TEM J. 9(1), 78–87 (2020)
Lebedev, V., Tonkonogyi, V., Yakimov, A., Bovnegra, L., Klymenko, N.: Provision of the quality of manufacturing gear wheels in energy engineering. In: Ivanov, V., et al. (eds.) DSMIE 2018. LNME, pp. 89–96. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-93587-4_10
Peña Miñano, S., et al.: A review of digital wayfinding technologies in the transportation industry. In: Advances in Transdisciplinary Engineering, pp 207–212. IOS Press BV (2017)
Camacho, T.D., Foth, M., Rakotonirainy, A.: Pervasive technology and public transport: opportunities beyond telematics. IEEE Pervasive Comput. 12, 18–25 (2013). https://doi.org/10.1109/MPRV.2012.61
Nagyova, A., Pacaiova, H., Markulik, S., et al.: Design of a model for risk reduction in project management in small and medium-sized enterprises. Symetry-Basel 13(5) (2021). https://doi.org/10.3390/sym13050763
Lasinska, N.: Hybrid management methodology for transport projects related to rolling stock. J. Eng. Sci. 8(2), B7–B11 (2021). https://doi.org/10.21272/jes.2021.8(2).b2
Straka, M., Khouri, S., et al.: Utilization of computer simulation for waste separation design as a logistics system. Int. J. Simul. Model. 17(4), 83–596 (2018). https://doi.org/10.2507/IJSIMM17(4)444
Fiebig, S., Sellschopp, J., Manz, H., Vietor, T., Axmann, K., Schumacher, A.: Future challenges for topology optimization for the usage in automotive lightweight design technologies. In: Proceedings of the 11th World Congress on Structural and Multidisciplinary Optimization, Sydney, Australia, vol. 142, pp. 1–8 (2015)
Singh, R., Davim, J.P.: Additive Manufacturing: Applications and Innovations, 1st edn. CRC Press, Boca Raton (2018)
Walker, N.L., Williams, A.P., Styles, D.: Key performance indicators to explain energy and economic efficiency across water utilities and identifying suitable proxies. J. Environ. Manag. 169, 1–10 (2020)
Rosova, A., Behun, M., Khouri, S., Cehlar, M., Ferencz, V., Sofranko, M.: Case study: the simulation modeling to improve the efficiency and performance of production process. Wirel. Netw. 28, 863–872 (2020). https://doi.org/10.1007/s11276-020-02341-z
Gerber, B.: 12 Key Financial Performance Indicators You Should Be Tracking. https://www.accountingdepartment.com/blog/12-key-performance-indicators-you-should-be-tracking. Accessed 03 Nov 2019
Acknowledgment
This work was supported by the Slovak Research and Development Agency under contract No. APVV-19-0590, by the projects VEGA 1/0700/20, KEGA 055TUKE-4/2020 granted by the Ministry of Education, Science, Research and Sport of the Slovak Republic.
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Knapčíková, L., Martiček, M., Husár, J., Kaščak, J. (2022). An Increase in the Efficiency of Selected Production Processes Using Lean Tools. In: Ivanov, V., Trojanowska, J., Pavlenko, I., Rauch, E., Peraković, D. (eds) Advances in Design, Simulation and Manufacturing V. DSMIE 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-06025-0_3
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