DocumentCode :
2309339
Title :
Integrated modeling to enhance resilience in sustainable supply chains
Author :
Badurdeen, Fazleena ; Wijekoon, Ken ; Shuaib, Mohannad ; Goldsby, Thomas J. ; Iyengar, Deepak ; Jawahir, I.S.
Author_Institution :
Dept. of Mech. Eng., Univ. of Kentucky, Lexington, KY, USA
fYear :
2010
fDate :
21-24 Aug. 2010
Firstpage :
130
Lastpage :
135
Abstract :
The success of organizations operating in complex environments depends on how well its supply chain could adapt to disruptions caused by unanticipated events. Building this resilience requires the capability to identify risks and uncertainties and modeling the impact of them on operations. Both of these have proven to be very difficult to do effectively. With the emerging interest in promoting sustainability companies are now forced to not only consider factors that affect economic performance but also those relating to environmental and societal responsibilities. Thus, increasing resilience in sustainable supply chains (SSCs) calls for a more holistic approach to address risk; it is necessary to consider the risks originating within and outside the company and those affecting all supply chain partners; also, the risks due to and impacting all stakeholder groups must be incorporated. This paper presents a comprehensive review of risks in SSCs and a potential approach to model their impact.
Keywords :
risk management; supply chains; economic performance; environmental responsibility; integrated modeling; risk identification; societal responsibility; sustainable supply chain; Bayesian methods; Companies; Driver circuits; Economics; Manufacturing; Measurement; Supply chains;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering (CASE), 2010 IEEE Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-5447-1
Type :
conf
DOI :
10.1109/COASE.2010.5584459
Filename :
5584459
Link To Document :
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