Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria
Само за регистроване кориснике
2022
Аутори
Misita, MirjanaSpasojević Brkić, Vesna
Damjanović, Milanko
Đurić, Goran
Papić, Neda
Perišić, Martina
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a mo...re detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system.
Кључне речи:
HAMRISK / Expert system / Hierarchical structuringИзвор:
8th International Conference on Industrial Engineering (SIE 2022), 2022, 222-Издавач:
- University of Belgrade Faculty of Mechanical Engineering
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Misita, Mirjana AU - Spasojević Brkić, Vesna AU - Damjanović, Milanko AU - Đurić, Goran AU - Papić, Neda AU - Perišić, Martina PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4182 AB - Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a more detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system. PB - University of Belgrade Faculty of Mechanical Engineering C3 - 8th International Conference on Industrial Engineering (SIE 2022) T1 - Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria SP - 222 UR - https://hdl.handle.net/21.15107/rcub_machinery_4182 ER -
@conference{ author = "Misita, Mirjana and Spasojević Brkić, Vesna and Damjanović, Milanko and Đurić, Goran and Papić, Neda and Perišić, Martina", year = "2022", abstract = "Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a more detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system.", publisher = "University of Belgrade Faculty of Mechanical Engineering", journal = "8th International Conference on Industrial Engineering (SIE 2022)", title = "Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria", pages = "222", url = "https://hdl.handle.net/21.15107/rcub_machinery_4182" }
Misita, M., Spasojević Brkić, V., Damjanović, M., Đurić, G., Papić, N.,& Perišić, M.. (2022). Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria. in 8th International Conference on Industrial Engineering (SIE 2022) University of Belgrade Faculty of Mechanical Engineering., 222. https://hdl.handle.net/21.15107/rcub_machinery_4182
Misita M, Spasojević Brkić V, Damjanović M, Đurić G, Papić N, Perišić M. Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria. in 8th International Conference on Industrial Engineering (SIE 2022). 2022;:222. https://hdl.handle.net/21.15107/rcub_machinery_4182 .
Misita, Mirjana, Spasojević Brkić, Vesna, Damjanović, Milanko, Đurić, Goran, Papić, Neda, Perišić, Martina, "Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria" in 8th International Conference on Industrial Engineering (SIE 2022) (2022):222, https://hdl.handle.net/21.15107/rcub_machinery_4182 .