Warianty tytułu
Języki publikacji
Abstrakty
The research aims to characterise the optimisation of a technological process depending on the main time parameters for production. The optimisation does not require to correct technical parameters of a system, but rather the organisational and managerial factors of the technological process. The workload is taken as an evaluation criterion, which factors in the probability distribution of time characteristics of computer process operations. Time characteristics that represent the performance of an operation influence the workloads of an operator and equipment, determining the productivity of the technological process. Analytical models were developed for the operational control of a production line efficiency considering the probability-statistical parameters pertaining to the performance of operations and technological equipment peculiarities. The article presents research results, which characterise the dependence of a production line efficiency on the type of equipment, and the duration of preparatory and final operations considering their probability. Under an optimal workload of the operator, the duration of the complete program changes linearly, regardless of the time required for the performance of operations by a computer without the involvement of the operator, and depending on the type of equipment. A managerial decision can be optimal under the condition that the factor of technological process efficiency (K_TP) tends to max. The developed method of analytical determination can be used to calculate the workload of both an operator and technological equipment. The calculations of the duration of a production line operation resulted in the methodology for the consideration of probability characteristics pertaining to the time distribution of the period required to perform operations, which influences the unequal efficiency of the production line. The probabilistic character of time distribution related to intervals of performed operations serves as a parameter in the management of technological process optimisation, which can be achieved using simulators of technological processes optimised in terms of their efficiency. (original abstract)
Rocznik
Numer
Strony
103-115
Opis fizyczny
Twórcy
autor
- Kielce University of Technology, Poland
autor
- Lviv Polytechnic National University, Ukraine
Bibliografia
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- Al-Ahmari, A., Abidi, M., Ahmad, A., & Darmoul, S. (2016). Development of a virtual manufacturing assembly simulation system. Advances in Mechanical Engineering, 8(3), 1-13. doi: 10.1177/1687814016639824.
- Briesemeister, R., & Novaes, À. (2017). Comparing an approximate queuing approach with simulation for the solution of a cross-docking problem. Journal of Applied Mathematics, 6, 1-11. doi: 10.1155/2017/4987127
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- Dmytriv, V., Dmytriv, I., Lavryk, Y., & Horodeckyy, I. (2018). Models of adaptation of the milking machines systems. Contemporary Research Trends in Agricultural Engineering. BIO Web of Conferences, 10, 02004. doi:10.1051/bioconf/20181002004
- Gálová, K., Rajnoha, R., & Ondra, P. (2018). The Use Of Industrial Lean Management Methods In The Economics Practice: An Empirical Study Of The Production Companies In The Czech Republic. Polish Journal of Management Studies, 17(1), 93-104.
- García, S.G., & García, M.G. (2018). Design and Simulation of Production and Maintenance Management Applying the Viable System Model: The Case of an OEM Plant. Materials, 11, 1346. doi:10.3390/ma11081346
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- Kibira, D., & Shao, G. (2016). Virtual Factory Framework for Supporting Production Planning and Control. Conference Paper in IFIP Advances in Information and Communication Technology. doi: 10.1007/978-3-319-51133-7_35
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- Mourtzis, D. (2019). Simulation in the design and operation of manufacturing systems: state of the art and new trends. International Journal of Production Research, 58(7), 1927-1949. doi: 10.1080/00207543.2019.1636321
- Mourtzis, D., Papakostas, N., Mavrikios, D., Makris, S., & Alexopoulos, K. (2015). The Role of Simulation In Digital Manufacturing - Applications And Outlook. International Journal of Computer Integrated Manufacturing, 28(1), 3-24. doi: 10.1080/0951192X.2013.800234
- Rahman, Ch., & Ullah, S. (2015). Process Flow Improvement Proposal of a Batch Manufacturing System Using ARENA Simulation Modeling. Review of General Management, 21(1), 63-77.
- Ran, L., Xiaolei, X., Kaiye, Y., & Qiaoyu, H. (2018). A survey on simulation optimization for the manufacturing system operation. International Journal of Modelling and Simulation, 38(2), 116-127. doi: 10.1080/02286203.2017.1401418
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- Zwierzyński, P., & Ahmad, H. (2018). Seru production as an alternative to a traditional assembly line. Engineering Management in Production and Services, 10(3), 62-69. doi: 10.2478/emj-2018-0017
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171614671