Ing Silvia Carpitella, PhD (external collaborator)
| e-mail: | show e-mail |
| www: | http://www.utia.cas.cz/people/carpitella |
| institution: | Institute of Information Theory and Automation |
| address: | Pod Vodarenskou Vezi 4CZ 18208 Praha 8 |
Multi-criteria approach assessing human factors for industrial risk management
| advisor: | Ing Silvia Carpitella, PhD |
| e-mail: | show e-mail |
| type: | bachelor thesis, master thesis |
| branch of study: | MI_MM |
| key words: | Multi-criteria decision-making; industrial risk; DEMATEL |
| description: | The concept of risk deeply permeates our daily life, playing a fundamental role in most human activities. Broadly speaking, progress always involves risks, risks that are often worth being taken but not before having been carefully considered. This constitutes a key point of any business field, whose focal points are unarguably human resources. People contributing to core decision-making processes with their know-how and capabilities can have a tremendous influence in making business successful. Enterprise risk management [1] has to be undertaken and tailored to any specific sector of activity to maximise safety and security for human resources, as a primary objective, but also to optimise activity outcomes in terms of productivity, quality and cost effectiveness. The utmost importance of risk-oriented management is then clear. However, still in the modern era, enterprises experience some practical difficulties when it comes to integrate innovative perspectives about risk within their own strategies and business models. In line with the philosophy of continuous improvement, risk management practices need to be continuously renovated to promptly respond to the many and varied challenges of our competitive world. Moreover, a strong degree of interaction exists among risk contributing factors, and they cannot be considered as independent to each other [3]. Due to these reasons, this work proposes a multi-criteria decision-making approach aimed at analysing the influence of relevant human factors on major industrial risks. The main goal consists in developing a theoretically rigorous but practically smart framework in such a field of utmost importance as risk management in the industrial business sector. The DEMATEL technique [3] will be applied to a real-world case study by considering the crucial role played by human resources towards performance optimisation. |
| references: | [1] Fraser, J. R., Quail, R., & Simkins, B. J. (2021). Questions that are asked about enterprise risk management by risk practitioners. Business Horizons. [2] Yazdi, M., Khan, F., Abbassi, R., & Rusli, R. (2020). Improved DEMATEL methodology for effective safety management decision-making. Safety science, 127, 104705. [3] Si, S. L., You, X. Y., Liu, H. C., & Zhang, P. (2018). DEMATEL technique: A systematic review of the state-of-the-art literature on methodologies and applications. Mathematical Problems in Engineering, 2018. |
| last update: | 09.06.2021 16:40:58 |
A fuzzy-based perspective to reduce uncertainty affecting the process of work-related stress evaluation
| advisor: | Ing Silvia Carpitella, PhD |
| e-mail: | show e-mail |
| type: | bachelor thesis, master thesis |
| branch of study: | MI_MM, MI_AMSM |
| key words: | Fuzzy Set Theory; work-related stress; FTOPSIS |
| description: | Work-related stress is a growing problem around the world, currently representing a major concern for occupational safety and health of human resources [1]. Not only does this phenomenon affect general physical and mental conditions of employees, but it also negatively influences the productivity level of organisations. Work-related stress is typical of those contexts characterised by an excessive work demand for execution of tasks, exceeding the personal capability to successfully carry them out. Aspects related to organisational culture, management practices, physical and/or mental load, relationships with colleagues and so on, can be identified as potential stressors at workplaces. An effective risk management approach should be implemented for first identifying which ones of these are present in a given workplace and secondly exploring the related root causes. On the basis of the attention given by the European Commission Council Framework Directive [2] to the prevention of work-related stress and the management of psychosocial risks [3], the present work proposes a mathematical model aimed at evaluating and classifying the main stress factors by means of linguistic evaluations of importance. To such an aim, the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) will be applied to manage and minimise the vagueness derived from the attribution of human evaluations [4]. An application developed in an Italian airport will be presented to demonstrate the validity of the approach. Practical solutions will therefore be proposed as potential suggestions for improving workers’ wellness, satisfaction and productivity. |
| references: | [1] Marcatto, F., Colautti, L., Filon, F. L., Luis, O., Di Blas, L., Cavallero, C., & Ferrante, D. (2016). Work-related stress risk factors and health outcomes in public sector employees. Safety science, 89, 274-278. [2] EU. (1989). Council Directive 89/391/EEC of 12 June 1989 on the introduction of measures to encourage improvements in the safety and health of workers at work. Official Journal of the European Communities, 183, 1-8. [3] Marcatto, F., Colautti, L., Filon, F. L., Luis, O., Di Blas, L., Cavallero, C., & Ferrante, D. (2016). Work-related stress risk factors and health outcomes in public sector employees. Safety science, 89, 274-278. [4] Carpitella, S., Certa, A., Izquierdo, J., & La Fata, C. M. (2018). A combined multi-criteria approach to support FMECA analyses: A real-world case. Reliability Engineering & System Safety, 169, 394-402. |
| last update: | 01.07.2021 16:24:40 |
V3S Database
The application records results of science and research, and other academic activities. The V3S application serves as a tool for submitting data to the RIV database, exporting data for statistic analyses, and internal evaluation of research.
List of publications in V3S
administrator for this page:
Radek Fučík | last update: 08/07/2011