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A Study of Supply Chain Risk in the Brazilian Wind Power Projects by Interpretive Structural Modeling and MICMAC Analysis

Jorge Arnaldo Troche-Escobar (), Herman Augusto Lepikson () and Francisco Gaudêncio Mendonça Freires ()
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Jorge Arnaldo Troche-Escobar: Postgraduate Program in Industrial Engineering (PEI), Federal University of Bahia (UFBA), Salvador (BA) 40210-630, Brazil
Herman Augusto Lepikson: National Industrial Learning Service (SENAI-CIMATEC), Av. Orlando Gomes, 1845—Piatã, Salvador (BA) 41650-010, Brazil
Francisco Gaudêncio Mendonça Freires: Polytechnic School, Federal University of Bahia (UFBA), Salvador (BA) 40210-630, Brazil

Sustainability, 2018, vol. 10, issue 10, 1-24

Abstract: This paper aims to present an approach to the supply chain risk modeling of Brazilian wind power projects. Risk factors were assessed by literature review and analysis through the Interpretive Structural Modeling (ISM) and the Matrix-based Multiplication Applied to a Classification (MICMAC) methodologies, with a group of professionals of the field. The ISM model represented the relationships between twenty-two risk factors, and their position in the system, from higher to lower-level risks. The MICMAC analysis identified independent, autonomous, linkage and dependent risk factors according to their driving and dependence power. Data collected also allowed for the recognition of indirect influences between risk factors, complementing the system’s understanding, in special the strongest linkages. The paper also integrated both outputs to create a better representation of the risks factors into the system. The research characterizes current risk factors’ status on the Brazilian wind power supply chain, and the understanding of their implications into the system. It is a guide to implement effective mitigation strategies into the supply chain and more accurate and cautious decision-making in organizations.

Keywords: wind power; supply chain; risk factor; interpretive structural modeling; risk management; Brazil (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2018
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