Simulation Modeling in Production Effectiveness Improvement – Case Study

• Autorzy: Burduk Anna , Łapczyńska Dagmara , Popiel Piotr

Identyfikatory

DOI

10.24425/mper.2021.137680

• Języki publikacji: EN

Abstrakty

EN

The paper deals with the problem of production material flow management. The proper way of logistic tasks management has an impact on the production process effectiveness and the cycle time, which is a very important factor in manufacturing. Reducing the production process cycle time results not only in the ability to provide more customers with orders but also in increasing the level of resources usage (machines, operators etc.). In order to reach the aim of improving production effectiveness, the simulation modeling was used. It is a computer method that supports a decision-making process and allows to perform experiments on production without interfering with the real process. The paper also includes a risk analysis performed to evaluate the imperfections of simulation modeling, based on the rules of fuzzy logic.

Słowa kluczowe

EN

simulation; model; batch; resource; efficiency; computer application; production

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2021
• Tom: Vol. 12, No. 2
• Strony: 75--85
• Opis fizyczny: Bibliogr. 33 poz., rys., tab., wykr.

Twórcy

autor

Burduk Anna

• Wroclaw University of Science and Technology, Center for Advanced Manufacturing Technologies, Poland, phone: [phone]

• https://orcid.org/0000-0003-2181-4380

autor

Łapczyńska Dagmara

• Wroclaw University of Science and Technology, Center for Advanced Manufacturing Technologies, Poland

• https://orcid.org/0000-0002-4745-0768

autor

Popiel Piotr

• Wroclaw University of Science and Technology, Center for Advanced Manufacturing Technologies, Poland

Bibliografia

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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)