Integrated Fuzzy Approach for System Modeling and Risk Assessment

2006 ◽  
pp. 227-238 ◽  
Author(s):  
Vikas Kumar ◽  
Marta Schuhmacher ◽  
Miriam García
Keyword(s):  
Risk Assessment ◽  
System Modeling ◽  
Fuzzy Approach

Risk assessment of probable human errors in scaffold erection and dismantling procedure: A fuzzy approach

2021 ◽  
pp. 1-16
Author(s):  
Sepideh Abbaszadeh ◽  
Mehdi Jahangiri ◽  
Maryam Abbasi ◽  
Sean Banaee ◽  
Payam Farhadi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Approach ◽  
Human Errors

Heavy metals risk assessment in drinking water: An integrated probabilistic-fuzzy approach

2019 ◽  
Vol 250 ◽  
pp. 109514 ◽  
Author(s):  
Guangji Hu ◽  
Ezzeddin Bakhtavar ◽  
Kasun Hewage ◽  
Madjid Mohseni ◽  
Rehan Sadiq
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Drinking Water ◽  
Fuzzy Approach

scholarly journals Proactive risk assessment via fuzzy approach in a decisional process of consignment stock program adoption

2021 ◽  
Vol 343 ◽  
pp. 07012
Author(s):  
Monica Faur ◽  
Constantin Bungău
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Supply Chains ◽  
Fuzzy Inference ◽  
Assessment Instrument ◽  
Fuzzy Approach ◽  
Inference System ◽  
Program Adoption ◽  
The Matrix ◽  
The Right

The idea of adopting the consignment stock concept has enriched the landscape of efficient supply chains and their organizations, due to its major benefits in reducing inventory, compressing delivery time and increasing flexibility towards achieving agility and enhanced market responsiveness. The decision making process is a complex one, as besides the benefits and the economical and administrative aspects, there are also risks that must be identified, measured, assessed and managed. There is little research in the literature concerning the risks and constraints of consignment inventory implementation, while consignment contracts are widely applied in both physical and virtual supply chains. This paper introduces a model of proactive risk assessment via a fuzzy approach, allowing a sensitivity analysis of the identified risks in the matrix, in terms of probability to happen, degree of severity, impact and potential consequences, as well as mitigation. A fuzzy inference system is used to serve as assessment instrument, to fairly and more rigorously evaluate the risks, in order to avoid critical situations during or after program adoption, or even implementation failure. Fuzzy logic theory has been chosen to capture the uncertainty that usually occurs when dealing with risks and decision making. We believe that having these risk assessment insights at hand, managers and practitioners can achieve a better understanding of the challenges that come along with a new consignment program adoption, while allowing them to make the right and justified decision, in accordance with both benefit and risk considerations.

Sign in / Sign up

Export Citation Format

Share Document