Analysis of the MORT method applicability for risk management in supply chains
Ualison Rébula Oliveira (),
Camila Oliveira Santos (),
Gabriel Elias Lunz Chaves () and
Vicente Aprigliano Fernandes ()
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Ualison Rébula Oliveira: Universidade Federal Fluminense (UFF) / MPA-PPGA and MSG-LATEC
Camila Oliveira Santos: Universidade Federal Fluminense (UFF) / MPA-PPGA and MSG-LATEC
Gabriel Elias Lunz Chaves: Universidade Federal Fluminense (UFF) / MPA-PPGA and MSG-LATEC
Vicente Aprigliano Fernandes: Pontificia Universidad Católica de Valparaíso
Operations Management Research, 2022, vol. 15, issue 3, No 45, 1382 pages
Abstract:
Abstract Although the Management Oversight and Risk Tree (MORT) method is considered a respected analytical procedure to investigate causes and contributing factors of accidents and incidents in different types of businesses, its application in Supply Chain Risk Management was not found in the literature (SCRM). Given this gap, the general objective of this research is to analyze the applicability of the MORT Method in SCRM. Methodologically, the research was supported by an in-depth case study in a cylinder requalification company located in Rio de Janeiro (Brazil). The case study included document analysis, direct observation and structured interviews based on questions previously defined by the MORT Method. As the main theoretical contribution, the research applied, in an innovative way, the MORT Method in SCRM. As the main practical contribution, sequenced, detailed and exemplified steps were developed, so that the MORT Method can be reproduced by other professionals in supply chains. As a limitation, it is observed that the case study only covers the cylinder requalification process, focusing on endogenous risks and failing to address exogenous risks in the supply chain. As a main result, it was possible to identify all the factors that contributed to the damage to cylinder valves; damage that has the potential to have severe consequences for other companies in the supply chain.
Keywords: Supply chain risk management; SCRM; Supply chain management; Risk analysis; Management oversight and risk tree; MORT method (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s12063-021-00248-2
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