0000000000718468
AUTHOR
La Fata C. M.
Human error contribution to accidents in the manufacturing sector: A structured approach to evaluate the interdependence among performance shaping factors
Since the 1970s, Human Reliability Analysis (HRA) methods have received a great interest for the quantification of the Human Error Probability (HEP) in Nuclear Power Plants (NPPs). To this purpose, the second-generation HRA methods consider contextual and cognitive factors - named Performance Shaping Factors (PSFs) - that may influence the workers’ performance during tasks execution. Despite the recent extension of HRA methods to different fields, only few studies refer to the manufacturing sector. In addition, the majority of contributions assume the independence among PSFs, which may result in an over or under estimation of HEP. Therefore, the present paper focuses on the manufacturing se…
A Structured Methodology for the Safety Key Performance Indicator Prioritization: A Case Study
Nowadays, companies have become more and more attentive to the management and evaluation of activities, processes and actions related to the safety in workplaces. This attention stems from both the need to comply with law requirements and to improve the productivity of the company by ensuring the reduction of occupational injuries and diseases. Accordingly, performance evaluation is a fundamental step also theorized by the most important guidelines on Occupational Health and Safety Management Systems (OHSMSs). With this recognition, the present paper provides a methodology to prioritize Safety Key Performance Indicators (SKPIs) starting from an initial set selected from the literature. Refe…
Project monitoring by dynamic statistical control charts
Project monitoring activities are fundamental to assure a timely identification of unacceptable project's deviations from the baseline, so that corrective actions may be taken to bring the project back in line with its objectives. Regarding this, the most used approach is the Earned Value Management (EVM) technique. However, traditional EVM metrics do not allow the Project Manager (PM) to recognize if project deviations are due to the natural project variability or to systemic and undiscovered causes that are moving the project to unacceptable out-of-controls. With this recognition, a statistical project control system based on the use of dynamic Shewhart's and CUmulative SUM (CUSUM) contro…