Have a personal or library account? Click to login
Management optimizing the costs and duration time of the process in the production system Cover

Management optimizing the costs and duration time of the process in the production system

By: Marek Krynke  
Open Access
|Sep 2021

References

  1. Beaverstock, M., Greenwood, A.G., Lavery, E., Nordgren, B., 2012. Applied Simulation: Modeling and Analysis Using FlexSim. FlexSim Software Products.
  2. Drbúl, M., Stančeková, D., Babík, O., Holubjak, J., Görögová, I., Varga, D., 2016. Simulation Possibilities of 3D Measuring in Progressive Control of Production. Manufacturing Technology, 16(1), 53–58. DOI: 10.21062/ujep/x.2016/a/1213-2489/MT/16/1/53.10.21062/ujep/x.2016/a/1213-2489/MT/16/1/53
  3. FlexSim: User manual, 2017.
  4. Garrido, J.M., 2009. Object Oriented Simulation: A Modeling and Programming Perspective. Dordrecht: Springer US.
  5. Ingaldi, M., 2020. A new approach to quality management: conceptual matrix of service attributes. Polish Journal of Management Studies, 22(2), 187–200. DOI: 10.17512/pjms.2020.22.2.13.10.17512/pjms.2020.22.2.13
  6. Jelonek, D., Mesjasz-Lech, A., Stępniak, C., Turek, T., Ziora, L., 2020. The Artificial Intelligence Application in the Management of Contemporary Organization: Theoretical Assumptions, Current Practices and Research Review. W: K. Arai & R. Bhatia (red.), Lecture Notes in Networks and Systems: volume 69-70. Advances in Information and Communication. Proceedings of the 2019 Future of Information and Communication Conference (FICC) (nr. 69, s. 319–327). Cham: Springer. DOI: 10.1007/978-3-030-12388-8_23.10.1007/978-3-030-12388-8_23
  7. Jędrzejczyk, Z., Kukuła, K., Skrzypek, J., Walkosz, A., 2020. Badania opera-cyjne w przykładach i zadaniach (Wydanie siódme, zmienione). Warszawa: Wydawnictwo Naukowe PWN.
  8. Kaczmar, I., 2015. Cost optimization of blend preparation with the use of the flexsim environment. Agricultural Engineering, 4(156), 51–60. DOI: 10.14654/ir.2015.156.151.
  9. Kaczmar, I., 2016. The use of simulation and optimization in managing the manufacturing process — case study. Gospodarka Materiałowa i Logistyka, 2016(4), 21–28.
  10. Kaczmar, I., 2019. Komputerowe modelowanie i symulacje procesów logistycznych w środowisku flexsim. Wydawnictwo Naukowe PWN.
  11. Karcz, J., Ślusarczyk, B., 2021. Criteria of quality requirements deciding on choice of the logistic operator from a perspective of his customer and the end recipient of goods. Production Engineering Archives, 27(1), 58–68. DOI: 10.30657/pea.2021.27.8.10.30657/pea.2021.27.8
  12. Klimecka-Tatar, D., 2018. Context of production engineering in management model of Value Stream Flow according to manufacturing industry. Production Engineering Archives, 21(21), 32–35. DOI: 10.30657/pea.2018.21.07.10.30657/pea.2018.21.07
  13. Klimecka-Tatar, D., Ingaldi, M., 2020. Assessment of the Technological Position of a Selected Enterprise in the Metallurgical Industry. Materials Research Proceedings, 2020(17), 72–78. DOI: 10.21741/9781644901038-11.10.21741/9781644901038-11
  14. Klimecka-Tatar, D., Ingaldi, M., Obrecht, M., 2021. Sustainable Developement in Logistic – A Strategy for Management in Terms of Green Transport. Management Systems in Production Engineering, 29(2), 91–96. DOI: 10.2478/mspe-2021-0012.10.2478/mspe-2021-0012
  15. Knop, K., 2019. Evaluation of quality of services provided by transport & logistics operator from pharmaceutical industry for improvement purposes. Transportation Research Procedia, 40, 1080–1087. DOI: 10.1016/j.trpro.2019.07.151.10.1016/j.trpro.2019.07.151
  16. Knop, K., 2020a. Importance of visual management in metal and automotive branch and its influence in building a competitive advantage. Polish Journal of Management Studies, 22(1), 263–278. DOI: 10.17512/pjms.2020.22.1.17.10.17512/pjms.2020.22.1.17
  17. Knop, K., 2020b. Indicating and analysis the interrelation between terms – visual: management, control, inspection and testing. Production Engineering Archives, 26(3), 110–120. DOI: 10.30657/pea.2020.26.22.10.30657/pea.2020.26.22
  18. Kolda, T.G., Lewis, R.M., Torczon, V., 2003. Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods. SIAM Review, 45(3), 385–482. DOI: 10.1137/S003614450242889.10.1137/S003614450242889
  19. Krenczyk, D., Kempa, W.M., Kalinowski, K., Grabowik, C., Paprocka, I., 2017. Production planning and scheduling with material handling using modelling and simulation. MATEC Web of Conferences, 112, 9015. DOI: 10.1051/matecconf/201711209015.10.1051/matecconf/201711209015
  20. Krynke, M., Mielczarek, K., 2018. Applications of linear programming to optimize the cost-benefit criterion in production processes. MATEC Web of Conferences, 183, 4004. DOI: 10.1051/matecconf/201818304004.10.1051/matecconf/201818304004
  21. Krynke, M., Mielczarek, K., Vaško, A., 2019. Analysis of the Problem of Staff Allocation to Work Stations. Quality Production Improvement - QPI, 1(1), 545–550. DOI: 10.2478/cqpi-2019-0073.10.2478/cqpi-2019-0073
  22. Krynke, M., Mielczarek, K., Kiriliuk, O., 2021. Cost Optimization and Risk Minimization During Teamwork Organization. Management Systems in Production Engineering, 29(2), 145–150. DOI: 10.2478/mspe-2021-0019.10.2478/mspe-2021-0019
  23. Krynke, M., 2020. Risk Management in the Process of Personnel Allocation to Jobs. 8th International Conference System Safety: Human - Technical Facility - Environment (CzOTO 2019), 82–90.10.2478/czoto-2020-0011
  24. Kyncl, J., 2016. Digital Factory Simulation Tools. Manufacturing Technology, 16(2), 371–375. DOI: 10.21062/ujep/x.2016/a/1213-2489/MT/16/2/371.10.21062/ujep/x.2016/a/1213-2489/MT/16/2/371
  25. Kyncl, J., Kellner, T., Kubiš, R., 2017. Tricanter Production Process Optimization by Digital Factory Simulation Tools. Manufacturing Technology, 17(1), 49–53. DOI: 10.21062/ujep/x.2017/a/1213-2489/MT/17/1/49.10.21062/ujep/x.2017/a/1213-2489/MT/17/1/49
  26. Le, T.D.C., Nguyen, D.D., Oláh, J., Pakurár, M., 2020. Optimal vehicle route schedules in picking up and delivering cargo containers considering time windows in logistics distribution networks: A case study. Production Engineering Archives, 26(4), 174–184. DOI: 10.30657/pea.2020.26.31.10.30657/pea.2020.26.31
  27. Matuszny, M., 2020. Building decision trees based on production knowledge as support in decision-making process. Production Engineering Archives, 26(2), 36–40. DOI: 10.30657/pea.2020.26.08.10.30657/pea.2020.26.08
  28. Mazur, M., Momeni, H., 2019. LEAN Production issues in the organization of the company - results. Production Engineering Archives, 22(22), 50–53. DOI: 10.30657/pea.2019.22.10.10.30657/pea.2019.22.10
  29. Niciejewska, M., Idzikowski, A., Škurková, K.L., 2021. Impact of Technical, Organizational and Human Factors on Accident Rate of Small-Sized Enterprises. Management Systems in Production Engineering, 29(2), 139–144. DOI: 10.2478/mspe-2021-0018.10.2478/mspe-2021-0018
  30. Pietraszek, J., Radek, N., Goroshko, A.V., 2020. Challenges for the DOE methodology related to the introduction of Industry 4.0. Production Engineering Archives, 26(4), 190–194. DOI: 10.30657/pea.2020.26.33.10.30657/pea.2020.26.33
  31. Setamanit, S., 2019. Improving transportation contract management using simulation. Polish Journal of Management Studies, 20(2), 466–477. DOI: 10.17512/pjms.2019.20.2.39.10.17512/pjms.2019.20.2.39
  32. Staniszewska, E., Klimecka-Tatar, D., Obrecht, M., 2020. Eco-design processes in the automotive industry. Production Engineering Archives, 26(4), 131–137. DOI: 10.30657/pea.2020.26.25.10.30657/pea.2020.26.25
  33. Sujová, E., Střihavková, E., Čierna, H., 2018. An Analysis of the Assembly Line Modernization by Using Simulation Software. Manufacturing Technology, 18(5), 839–845. DOI: 10.21062/ujep/187.2018/a/1213-2489/MT/18/5/839.10.21062/ujep/187.2018/a/1213-2489/MT/18/5/839
  34. Sujová, E., Vysloužilová, D., Čierna, H., Bambura, R., 2020. Simulation Models of Production Plants as a Tool for Implementation of the Digital Twin Concept into Production. Manufacturing Technology, 20(4), 527–533. DOI: 10.21062/mft.2020.064.10.21062/mft.2020.064
  35. Ulewicz, R., 2014. Practical Application of Quality Tools in the Cast Iron Foundry. Manufacturing Technology, 14(1), 104–111. DOI: 10.21062/ujep/x.2014/a/1213-2489/MT/14/1/104.10.21062/ujep/x.2014/a/1213-2489/MT/14/1/104
  36. Ulewicz, R., Blaskova, M., 2018. Sustainable development and knowledge management from the stakeholders’ point of view. Polish Journal of Management Studies, 18(2), 363–374. DOI: 10.17512/pjms.2018.18.2.29.10.17512/pjms.2018.18.2.29
  37. Ulewicz, R. Kleszcz, D. Ulewicz M. 2021. Management Systems in Production Engineering, 29(3), 203-207. DOI: 10.2478/mspe-2021-002510.2478/mspe-2021-0025
  38. Zhuang, C., Liu, J., Xiong, H., 2018. Digital twin-based smart production management and control framework for the complex product assembly shop-floor. Journal of Advanced Manufacturing Technology. (96), 1149–1163. DOI: 10.1007/s00170-018-1617-6.10.1007/s00170-018-1617-6
DOI: https://doi.org/10.30657/pea.2021.27.21 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
Language: English
Page range: 163 - 170
Submitted on: Jun 30, 2021
Accepted on: Jul 29, 2021
Published on: Sep 6, 2021
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Marek Krynke, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.