Search published articles


Showing 2 results for Safety Analysis
Integration of Composition Fuzzy Summated Scale and Risk Function Deployment in Construction Risk Analysis
Huki Chandra, Ilma Mufidah, Moch. Wibisono, Dhimas Nur, Raya Fahreza,
Volume 0, Issue 0 (10-2025)
Abstract
Constructions have considerable revenue and stakeholder accountability implications. It is the aim of this research to identify and assess risks so as to apply the appropriate controls for an Indonesian construction project. Observation, interviewing, and staff meetings were employed in this research. Risk analysis was conducted by a safety practitioner and validated with 12 construction workers. Methods like Fuzzy Logic (FMEA and AHP), PLS-SEM, Kruskal-Wallis, and cluster analysis were used to provide precise scoring and classification. Fuzzy Logic accommodated the uncertainty of risks, and Fuzzy-AHP ranked the risks with criteria of injury, asset loss, reputation, and environment. It defines two medium-risk and four high-risk activities, with the highest risk being Activity 2 (wall painting) due to being at height. Job Safety Analysis provides particular mitigation in detail. The RPN score for wall painting was 526, with a Mean Squared Error of 507 and an overall coefficient of variation of 6%, showing high consensus. This integrated methodology reduces bias, maintains uncertainty, and provides tailored safety recommendations, a new approach not implemented in past research.
 
An Approach for Accident Forecasting Using Fuzzy Logic Rules: A Case Mining of Lift Truck Accident Forecasting in One of the Iranian Car Manufacturers
Gholam Reza Jalali Naieni, Ahmad Makui, Rouzbeh Ghousi,
Volume 23, Issue 1 (3-2012)
Abstract

Fuzzy Logic is one of the concepts that has created different scientific attitudes by entering into various professional fields nowadays and in some cases has made remarkable effects on the results of the practical researches. However, the existence of stochastic and uncertain situations in risk and accident field, affects the possibility of the forecasting and preventing the occurrence of the accident and the undesired results of it.

In this paper, fuzzy approach is used for risk evaluating and forecasting, in accidents caused by working with vehicles such as lift truck. Basically, by using fuzzy rules in forecasting various accident scenarios, considering all input variables of research problem, the uncertainty space in the research subject is reduced to the possible minimum state and a better capability of accident forecasting is created in comparison to the classic two-valued situations. This new approach helps the senior managers make decisions in risk and accident management with stronger scientific support and more reliably.


Page 1 from 1