Development of a fuzzy logic-based inherent safety index for food industries
Abstract
Inherent safety is a proactive approach for loss or elimination of hazard values and risk management. Expansion of safety relating to process and production in a supply chain in an uncertain environment has a critical effect on the competitive advantage of each food industrial organization. In this article, the fuzzy rating weights of each pair of the considered hazards and uncertain hazard values are described by linguistic expressions modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process is used to calculate the weight vector. The proposed fuzzy model is arranged in a hierarchical structure, so that the output of one interference system is used as an input for the second interference step. In the first of interference steps, the total hazard value for each identified process is calculated using the fuzzy algebra rules. In the second interference step, the inherent saf...ety index for each process is determined on the basis of total hazard value, using the IF-THEN fuzzy logic rules. It is shown that the proposed fuzzy model is highly suitable as a decision making tool for making decisions about the inherent safety index of food industrial processes.
Keywords:
Inherent safety / fuzzy sets / fuzzy logic / food industriesSource:
Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer, 2014, 228, 1, 3-13Publisher:
- Sage Publications Ltd, London
DOI: 10.1177/0954408912466368
ISSN: 0954-4089
WoS: 000337963000001
Scopus: 2-s2.0-84893491285
Collections
Institution/Community
Mašinski fakultetTY - JOUR AU - Tadić, Danijela AU - Savović, Ivan AU - Misita, Mirjana AU - Arsovski, Slavko AU - Milanović, Dragan PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1998 AB - Inherent safety is a proactive approach for loss or elimination of hazard values and risk management. Expansion of safety relating to process and production in a supply chain in an uncertain environment has a critical effect on the competitive advantage of each food industrial organization. In this article, the fuzzy rating weights of each pair of the considered hazards and uncertain hazard values are described by linguistic expressions modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process is used to calculate the weight vector. The proposed fuzzy model is arranged in a hierarchical structure, so that the output of one interference system is used as an input for the second interference step. In the first of interference steps, the total hazard value for each identified process is calculated using the fuzzy algebra rules. In the second interference step, the inherent safety index for each process is determined on the basis of total hazard value, using the IF-THEN fuzzy logic rules. It is shown that the proposed fuzzy model is highly suitable as a decision making tool for making decisions about the inherent safety index of food industrial processes. PB - Sage Publications Ltd, London T2 - Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer T1 - Development of a fuzzy logic-based inherent safety index for food industries EP - 13 IS - 1 SP - 3 VL - 228 DO - 10.1177/0954408912466368 ER -
@article{ author = "Tadić, Danijela and Savović, Ivan and Misita, Mirjana and Arsovski, Slavko and Milanović, Dragan", year = "2014", abstract = "Inherent safety is a proactive approach for loss or elimination of hazard values and risk management. Expansion of safety relating to process and production in a supply chain in an uncertain environment has a critical effect on the competitive advantage of each food industrial organization. In this article, the fuzzy rating weights of each pair of the considered hazards and uncertain hazard values are described by linguistic expressions modelled by triangular fuzzy numbers. The fuzzy extent approach for the synthetic extent values of the pairwise comparison for handling fuzzy analytic hierarchical process is used to calculate the weight vector. The proposed fuzzy model is arranged in a hierarchical structure, so that the output of one interference system is used as an input for the second interference step. In the first of interference steps, the total hazard value for each identified process is calculated using the fuzzy algebra rules. In the second interference step, the inherent safety index for each process is determined on the basis of total hazard value, using the IF-THEN fuzzy logic rules. It is shown that the proposed fuzzy model is highly suitable as a decision making tool for making decisions about the inherent safety index of food industrial processes.", publisher = "Sage Publications Ltd, London", journal = "Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer", title = "Development of a fuzzy logic-based inherent safety index for food industries", pages = "13-3", number = "1", volume = "228", doi = "10.1177/0954408912466368" }
Tadić, D., Savović, I., Misita, M., Arsovski, S.,& Milanović, D.. (2014). Development of a fuzzy logic-based inherent safety index for food industries. in Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer Sage Publications Ltd, London., 228(1), 3-13. https://doi.org/10.1177/0954408912466368
Tadić D, Savović I, Misita M, Arsovski S, Milanović D. Development of a fuzzy logic-based inherent safety index for food industries. in Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer. 2014;228(1):3-13. doi:10.1177/0954408912466368 .
Tadić, Danijela, Savović, Ivan, Misita, Mirjana, Arsovski, Slavko, Milanović, Dragan, "Development of a fuzzy logic-based inherent safety index for food industries" in Proceedings of The Institution of Mechanical Engineers Part E-Journal of Process Mechanical Engineer, 228, no. 1 (2014):3-13, https://doi.org/10.1177/0954408912466368 . .