@inproceedings{4a4c54f26db349f882aad592646c4b19,
title = "Impact of Technical Parameters on Repair Time of Injection Molding Machines",
abstract = "The use of operational indicators in the process of selecting a machinery park can have a wide practical application. Using the method presented in the article of applying the MTTR (Mean Time to Repair) indicator to determine the parameters affecting the operation of the machinery park, it is possible to direct the decision-making processes of the enterprise to maximize the productivity of the production enterprise. The use of the presented method makes it possible to minimize the total costs associated with new investments, as well as ensure the reduction of losses arising during the inefficient use of existing production resources.",
keywords = "MTTR, indicators, machinery park, optimization, statistical analysis",
author = "Miranowicz, \{Andrzej Krzysztof\} and Krzysztof Nowacki and Joanna Furman",
note = "Publisher Copyright: {\textcopyright} 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2023 ; Conference date: 13-09-2023 Through 15-09-2023",
year = "2024",
doi = "10.1007/978-3-031-44282-7\_18",
language = "English",
isbn = "9783031442810",
series = "Lecture Notes in Mechanical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "229--237",
editor = "Anna Burduk and Batako, \{Andre D.L.\} and Jos{\'e} Machado and Ryszrad Wycz{\'o}{\l}kowski and Ewa Dostatni and Izabela Rojek",
booktitle = "Intelligent Systems in Production Engineering and Maintenance 3",
address = "Germany",
}