Managing the effectiveness of machines during the assignment of tasks to the production

• Autorzy: Krynke Marek

Identyfikatory

DOI

10.2478/cqpi-2020-0021

• Języki publikacji: EN

Abstrakty

EN

The allocation of production tasks to specific production resources is an important part of preparing the manufacturing process. The amount of profit and costs incurred depends on this division. The efficiency of production resources depends not only on the technologies used, but also on the tasks that will be carried out on them. Therefore, the management of machine efficiency includes both an evaluation (analytical and assessment undertaking, e.g. OEE) and planning activities aimed at maximizing the efficiency of machines by appropriately assigning production tasks to them. The article presents the problem of the allocation of production of various products to various production resources, including the efficiency of the use of machines and devices, emphasizing the possibilities of undertaking optimization actions in the cost management process. A mathematical model was formulated for this issue. An algorithm solving the problem of allocation of production tasks is presented. The solution was obtained using the Octave computing environment.

Słowa kluczowe

EN

OEE; multi-station work; optimization; linear programming

PL

OEE; praca wielostanowiskowa; optymalizacja; programowanie liniowe

• Wydawca: De Gruyter
• Czasopismo: Quality Production Improvement - QPI
• Rocznik: 2020
• Tom: Vol. 2, Iss. 1
• Strony: 188--196
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Krynke Marek

• Czestochowa University of Technology, Poland

Bibliografia

• 1.Anand, S.R., Nandurkar, K.N., 2012. Optimizing & analysing overall equipment effectiveness (OEE) through design of experiments (DOE), Procedia Engineering, 38, 2973-2980.
• 2.Bard, J.F., Nananukul, N., 2010. A branch-and-price algorithm for an integrated production and inventory routing problem, Computers & Operations Research, 37(12), 2202-2217.
• 3.Borkowski, S., Selejdak, J., Salamon. S., 2006. Efektywność eksploatacji maszyn, Wydawnictwo Wydziału Zarządzania Politechniki Częstochowskiej, Częstochowa.
• 4.Dehghanbaghi, N, Sajadieh, M.S., 2017. Joint optimization of production, transportation and pricing policies of complementary products in a supply chain. Computers & Industrial Engineering, 107, 150-157.
• 5.Drljača, M., 2019. Reversible supply chain in function of competitiveness, Production Engineering Archives, 22, 30-35.
• 6.Ficken, F.A. 2015. The Simplex Method of Linear Programming. Dover publications, INC. Mineola, New York.
• 7.Ingaldi, M., Ulewicz, R., 2020. Problems with the implementation of industry 4.0 in enterprises from the SME sector, Sustainability, 12(217), DOI: 10.3390/su12010217.
• 8.Jagusiak-Kocik, M., Knop, K., Sikora, Ł., 2016. Ocena poprawy wskaźnika OEE i jego składowych w procesie mieszania emalii poliwinylowej, Zeszyty Naukowe. Quality. Production. Improvement, 1(4), 66-79.
• 9.Klimecka-Tatar, D., Shinde V., 2019. Improvement of manual assembly line based on value stream mapping (VSM) and efectiveness coefficient, Quality Production Improvement, Sciendo, 1(1), 514-521, DOI: 10.2478/cqpi-2019-0072
• 10.Knop, K., 2018. The impact of performance improvement achieved by the closing machine up to the level of World-Class OEE on the results of the production process, Materials Research Proceedings, 5, 117-122.
• 11.Krynke, M., 2020. Risk management in the process of personnel allocation to jobs, System safety: Human - Technical Facility - Environment, Sciendo, 2(1), 82-89, DOI: 10.2478/czoto-2020-0011
• 12.Krynke, M., Knop, K., Mielczarek, K., 2014. Using overall equipment effectiveness indicator to measure the level of planned production time usage of sewing machine, Production Engineering Archives, 5, 6-9.
• 13.Krynke, M., Mielczarek, K., 2018. Applications of linear programming to optimize the cost-benefit criterion in production processes, MATEC Web of Conferences,183, 6.
• 14.Krynke, M., Mielczarek, K., Vaško, A. 2019. Analysis of the problem of staff allocation to work stations, Quality Production Improvement, Sciendo, 1(1), pp. 545-550.
• 15.Lukač, Z., Hunjet, D., Neralić, L., 2008. Solving the production-transportation problem in the petroleum industry, Revista Investigación Operacional, 29(1), 63-70.
• 16.Maros, I. 2003. Computational Techniques of the Simplex Method. Springer, Boston.
• 17.Mielczarek, K., Krynke, M., 2018. Plastic production machinery - the evaluation of effectiveness, Production Engineering Archives, 18, 42-45.
• 18.Nagar, S., 2018. Introduction to Octave: For Engineers and Scientists, Apress, NewYork.
• 19.Piechna, A., 2012. Zadanie programowania liniowego w środowisku GNU Octave, Projektowanie i konstrukcje inżynierskie, 55, 58-62.
• 20.Ulewicz, R., Lazar, Livia V., 2019. The effect of lean tools on the safety level in manufacturing organisations, System Safety: Human - Technical Facility - Environment, Sciendo, 1(1), 537-544, DOI: 10.2478/czoto-2019-0066
• 21.Zimon, D., 2015. Ogólne wytyczne dotyczące zarządzania jakością i technologii w łańcuchu dostaw na przykład przemysłu metalurgicznego. Polish Journal of Management Studies, 12(2), 212-219.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).