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Inconsistencies in the Production Process Resulting From the Employment Structure

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Underestimating the duration of the production process is one of the basic factors determining the occurrence of delays in the duration of individual operations included in the production process. Occurrence of underestimation of production time brings many negative effects, which include, among others: underestimation of the company's production capacity, accumulation of intermediate stocks, impeded planning of the production process (scheduling of the production process) and increase of production costs. The problem of erroneous estimation of the duration of the production process is most often found in production plants specializing in serial or mass production, implemented in a parallel or series-parallel system. The basic causes that underestimate the duration of the production process include errors in production scheduling, incorrect determination of durations of individual operations carried out as part of the analyzed production process, complexity of production operations and employment structure. The occurrence of delays in the production process can also be affected by accident events that generate underestimation and costs for the enterprise (including social and economic costs). In many cases, many algorithms are used to reduce underestimation and optimization and scheduling of the entire production process. The publication presents an analysis of the production process in which the duration of the production process is underestimated, taking into account the employment structure in the manufacturing company. The analyzes allow to determine the level of underestimation of operations of the production process depending on the form of employment (steel workers – employed under a contract of employment in the production plant, and temporary workers employed by temporary work agencies), identification of the reasons for the underestimation of individual production positions and the length of their time occurrence.
Rocznik
Strony
205--213
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Silesian University of Technology, ul. Akademicka 2A 44-100 Gliwice, Poland
  • Silesian University of Technology, ul. Akademicka 2A 44-100 Gliwice, Poland
Bibliografia
  • 1. Bokranz, R. and Landau, K. (2012) Handbuch Industroal Engineering: Produktivitatsmanagement mit MTM. Band 1: Konzept, 2. Auflage. Schaffer-Poeschel, Stuttgart.
  • 2. Bożejko W., Grymin R and Pempera J., (2018). Scheduling and Routing Algorithms for Rail Freight Transportation, Procedia Engineering, pp. 206-212.
  • 3. Bożejko W., Pempera J and Smutnicki A. (2008). Parallel Single-Thread Strategies in Schedu-ling, in Rutkowski L., Tadeusiewicz R., Zadeh L.A and Zurada J.M., Artificial Intelligence and Soft Computing, ICAISC 2008, Lecture Notes in Computer Science, 5097, Springer, Berlin, Heidelberg, pp. 995-1006.
  • 4. Burduk, A., Musiał, K.,Kochańska, J., Górnicka D and Stetsenko A. (2019). Tabu search and genetic algorithm for production process scheduling problem, Scientific Journal of Logistics, 2019, pp 181-189.
  • 5. Chen L., Jansen K., and Zhang G. (2018). On the optimality of exact and approximation algorithms for scheduling problems, Journal of Computer and System Sciences, pp. 1-32
  • 6. Gawlik, J., Plichta, J. and Świć, A. (2013). Procesy produkcyjne, Warszawa, Polskie Wydawnictwo Ekonomiczne.
  • 7. Górnicka D., Markowski M. and Burduk A. (2018). Optimization of production organization in a packaging company by ant colony algorithm, in Burduk A., Mazurkiewicz D. (Ed.), ISPEM 2017, AISC, 637, Springer, pp. 336-346,
  • 8. Grajek M. and Zmuda-Trzebiatowski P. (2014). A heuristic approach to the daily delivery scheduling problem. Case study: alcohol products delivery scheduling within intracommunity trade legislation, Logforum, pp. 163-173.
  • 9. Imai, M. (2006). Gemba Kaizen, Warszawa, MT Biznes.
  • 10. Kotowska, J., Markowski, M. and Burduk, A., 2018. Optimization of the Supply of Components for Mass Production with the Use of the Ant Colony Algorithm, in Burduk A., Mazurkiewicz D. (Ed.), ISPEM 2017, AISC, 637, Springer, Cham, 347- 357.
  • 11. Kowalska K., Sikora L and Hadaś Ł. (2017). Analiza zakłóceń procesu produkcyjnego na wybranym przykładzie, Zeszyt Naukowy Politechniki Poznańskiej, Organizacja i Zarządzanie, Poznań, pp. 145-158.
  • 12. Kumanan S. and Jegan Jose, G and Raja, K. (2006). Multi-project scheduling using an heuristic and a genetic algorithm, pp. 360-366.
  • 13. Kutschenreiter-Praszkiewicz, I. (2016). Wybrane zagadnienia planowania procesu produkcyjnego. In: Innowacje w Zarządzaniu i Inżynierii Produkcji, Opole.
  • 14. Leong, G.K., Snyder, D.L and Ward, P.T. (1990) Research in the process and content of manufacturing strategy, Omega, pp. 114.
  • 15. Małysa, T, Nowacki, K and Lis, T. (2017). The correlation between structure of employment and accidents at work in metallurgical enterprises. In: METAL 2017: 26th International Conference on Metallurgy and Materials, pp. 2244-2249.
  • 16. Morlock, F., Kreggenfald N., Louw L., Kreimeier D., Kuhlenkotter B. (2017) Teaching Methods-Time Measurment (MTM) for Workplace Design in Learning Factories, 7th Conference on Learning Factories, CLF 2017, pp 370-375.
  • 17. Paprocka I., Gwiazda A and Baczkowicz M. (2017). Scheduling of an assembly process of a chosen technical mean using the critical chain approach, MATEC Web of Conferences.
  • 18. Pawlak, Sz. and Miranowicz, A. (2017). Wpływ czynników techniczno-ludzkich na plan procesu produkcji. Częstochowa.
  • 19. Wojakowski, P. (2011). Metoda szacowania długości okresu planowania z zastosowaniem techniki eksploracji danych. In: Czasopismo Techniczne, Kraków, Wydawnictwo Politechniki Krakowskiej, pp. 127-146.
  • 20. Shishido H.Y., Estrella J.C., Toledo C.F.M. and Arantes M.S. (2018). Genetic-based algorithms applied to a workflow scheduling algorithm with security and deadline constraints in clouds, Computers & Electrical Engineering, pp. 378-394.
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-62001a47-7c00-4e4b-bcb6-6bc9e04e5546
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