Risks Assessment using Fuzzy Petri Nets for ERP Extension in Small and Medium Enterprises

Risks Assessment using Fuzzy Petri Nets for ERP Extension in Small and Medium Enterprises

S. Vijayakumar Bharathi, Dhanya Pramod, Raman Ramakrishnan
Copyright: © 2017 |Pages: 23
DOI: 10.4018/IRMJ.2017100101
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

In this paper a Fuzzy Petri Net model (FPN) is developed and tested to assess the risks involved during Enterprise Resource Planning (ERP) adoption in Small and Medium Enterprises (SMEs). This model pertains only to the risks and risk factors identified in the extension phase of ERP adoption in SMEs. In other words, this work studied only the risk perception relating to extending the ERP integration between the supply chain partners. This paper addresses the problems of risk identification and assessment during the extension phase. There are two motives for this research namely, one to define the ERP extension risks and two to assess and quantify the risks in a simple yet robust model. The uniqueness of this paper is three dimensional because in addition to presenting and quantifying the risk values in FPN, the risks are categorized and further graded for decision support to SME stakeholders. Realignment and standardization of SMEs business process, lack of support from larger enterprises and incompatibility issues are perceived to be most critical risk factors.
Article Preview
Top

2. Literature Review

Fuzzy Petri Nets (FPNs) have widespread application in identifying and analyzing parallel and concurrent behaviour of many physical and societal arrangements. A host of control problems has used FPN to model various issues which include control of CNC-milling machines (Hanna et al., 1996), control of nuclear instrumentation for safety (Son and Seong, 2000), autonomous vehicle control (Parhi and Mohanta, 2011, Rigatos 2003, Wai and Liu 2009, Zouaghi et al., 2014), railway traffic control (Fay 2000, Cheng and Yang 2009), control of excavation robot (Wang 2004) etc.

Complete Article List

Search this Journal:
Reset
Volume 36: 1 Issue (2023)
Volume 35: 4 Issues (2022): 3 Released, 1 Forthcoming
Volume 34: 4 Issues (2021)
Volume 33: 4 Issues (2020)
Volume 32: 4 Issues (2019)
Volume 31: 4 Issues (2018)
Volume 30: 4 Issues (2017)
Volume 29: 4 Issues (2016)
Volume 28: 4 Issues (2015)
Volume 27: 4 Issues (2014)
Volume 26: 4 Issues (2013)
Volume 25: 4 Issues (2012)
Volume 24: 4 Issues (2011)
Volume 23: 4 Issues (2010)
Volume 22: 4 Issues (2009)
Volume 21: 4 Issues (2008)
Volume 20: 4 Issues (2007)
Volume 19: 4 Issues (2006)
Volume 18: 4 Issues (2005)
Volume 17: 4 Issues (2004)
Volume 16: 4 Issues (2003)
Volume 15: 4 Issues (2002)
Volume 14: 4 Issues (2001)
Volume 13: 4 Issues (2000)
Volume 12: 4 Issues (1999)
Volume 11: 4 Issues (1998)
Volume 10: 4 Issues (1997)
Volume 9: 4 Issues (1996)
Volume 8: 4 Issues (1995)
Volume 7: 4 Issues (1994)
Volume 6: 4 Issues (1993)
Volume 5: 4 Issues (1992)
Volume 4: 4 Issues (1991)
Volume 3: 4 Issues (1990)
Volume 2: 4 Issues (1989)
Volume 1: 1 Issue (1988)
View Complete Journal Contents Listing