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2021 | OriginalPaper | Chapter

Probabilistic and Fuzzy Models for Risk Analysis of Processing and Manufacturing System

Authors : Priyank Srivastava, Navnidh, Sarthak Bali, Rishabh Gupta, Rajendra Kumar Shukla, Ruchika Gupta, Dinesh Khanduja, Melfi Alrasheedi, Rakesh Kumar Phanden

Published in: Advances in Industrial and Production Engineering

Publisher: Springer Singapore

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Abstract

Risk is defined as the chance of failures or a state occurrence of the possible loss. The risk of one can be a benefit to others. To survive in today's competitive market situation, proper risk management is essential. In the present study, various models, that is, probabilistic and fuzzy models used for risk analysis in processing and manufacturing systems, have been discussed. This article critically reviews the use of probabilistic and fuzzy models in context with the type of publications, area of application, region-specific details, citations results to answer the research questions framed. This main contribution of this article is the examination of the current state of the art for risk analysis. The findings from this article will be helpful for risk managers and analysts, respectively, for proper understanding, identification, analysis, and management of risk.

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Metadata
Title
Probabilistic and Fuzzy Models for Risk Analysis of Processing and Manufacturing System
Authors
Priyank Srivastava
Navnidh
Sarthak Bali
Rishabh Gupta
Rajendra Kumar Shukla
Ruchika Gupta
Dinesh Khanduja
Melfi Alrasheedi
Rakesh Kumar Phanden
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4320-7_7

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