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Supply chain risk identification with value‐focused process engineering
Author(s) -
Neiger Dina,
Rotaru Kristian,
Churilov Leonid
Publication year - 2009
Publication title -
journal of operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.649
H-Index - 191
eISSN - 1873-1317
pISSN - 0272-6963
DOI - 10.1016/j.jom.2007.11.003
Subject(s) - supply chain , supply chain risk management , demand chain , supply chain management , value chain , service management , risk analysis (engineering) , process (computing) , identification (biology) , business , vulnerability (computing) , value (mathematics) , process management , computer science , industrial organization , marketing , computer security , botany , machine learning , biology , operating system
Together with numerous benefits that were brought about by the transition from the silo enterprise perspective towards the process‐based supply chain view of contemporary business, new sources of risk appeared due to the complex systemic nature of the supply chains. The need to reduce the increased level of supply chain vulnerability has been identified as a key research issue in the domain of supply chain management. In this paper, a novel value‐focused process engineering methodology for process‐based supply chain risk identification is proposed with the aim to increase value to supply chain members and supply chain as a whole. The proposed methodology is illustrated with a generic supply chain scenario example.