On the Measure Method of Electronic Supply Chain Risk

Xiao, Meidan; Li, Ye; Zhi-qiang, Shang

doi:10.1016/j.proeng.2011.08.898

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…For the risk identification phase, the main tools presented were expert opinion (Aqlan & Lam, 2015;Berle et al, 2013;Diabat et al, 2012;Fazli et al, 2015;Lavastre et al, 2014;MeiDan et al, 2011;Micheli et al, 2014;Punniyamoorthy et al, 2013;Radivojević & Gajović, 2014;Schoenherr et al, 2008); interviews (Blackhurst et al, 2008;Bradley, 2014;Lavastre et al, 2014;Lin & Zhou, 2011;Lockamy & McCormack, 2012;Oke & Gopalakrishnan, 2009;Schmitt & Singh, 2012;Vilko & Hallikas, 2011;Wu et al, 2006); literature review (Diabat et al, 2012;Fazli et al, 2015;MeiDan et al, 2011;Punniyamoorthy et al, 2013;Schmitt & Singh, 2012;Trkman & McCormack, 2009;Venkatesh et al, 2015;Wu et al, 2016); and brainstorm (Berle et al, 2013;Bradley, 2014;Hachicha & Elmsalmi, 2014;Oehmen et al, 2009;Pradhan & Routroy, 2014;Venkatesh et al, 2015). Figure 6 presents all tools that obtained at least two citations for the risk identification phase.…”

Section: Tools For Scrmmentioning

confidence: 99%

“…For the risk evaluation phase, proposed tools were simulation (Berle et al, 2013;Gemechu et al, 2015;Giannakis & Papadopoulos, 2016;Güller et al, 2015;Heckmann et al, 2015;Klimov & Merkuryev, 2008;Lee et al, 2012;Mizgier et al, 2015;Oehmen et al, 2009;Olson & Wu, 2010;Schmitt & Singh, 2012;Tummala & Schoenherr, 2011;Vilko & Hallikas, 2011;Wei et al, 2010;Wu & Olson, 2008;You et al, 2009), emphasizing the Monte Carlo simulation (Gemechu et al, 2015;Lee et al, 2012;Mizgier et al, 2015;Oehmen et al, 2009;Tummala & Schoenherr, 2011;Vilko & Hallikas, 2011;Wei et al, 2010;Wu & Olson, 2008;You et al, 2009), expert opinion (Aqlan & Lam, 2015;Bradley, 2014;Cohen & Kunreuther, 2007;Gaudenzi & Borghesi, 2006;Kleindorfer & Saad, 2005;Klimov & Merkuryev, 2008;MeiDan et al, 2011;Olson & Swenseth, 2014;Pradhan & Routroy, 2014;Punniyamoorthy et al, 2013;Tummala & Schoenherr, 2011;Vilko & Hallikas, 2011); AHP -analytic hierarchy process (Gaudenzi & Borghesi, 2006;Giannakis & Papadopoulos, 2016;…”

Section: Tools For Scrmmentioning

confidence: 99%

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Phases and tools for supply chain risk management: a systematic literature review

et al. 2020

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Supply chain risk management (SCRM) has been widely discussed in the academic literature and several models have been proposed in recent years, but there is a need for a model encompassing phases and tools for SCRM. This study presents a systematic literature review (SLR) of 254 abstracts and 68 full-text papers. The SLR made it possible to identify and define the main phases for the SCRM, as well as the tools proposed for each phase. There is a concentration of efforts in the phases of identification, assessment, and selection of risk management strategies and a limited number of studies in monitoring and controlling risks. The article offers a global SCRM framework, contributing to the theoretical discussions and a practical guide to implementation related to SCRM.

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Section: Tools For Scrmmentioning

confidence: 99%

Section: Tools For Scrmmentioning

confidence: 99%

Phases and tools for supply chain risk management: a systematic literature review

et al. 2020

View full text Add to dashboard Cite

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Shallot supply chain analysis using rapid agricultural supply chain risk assessment method: case in Bantul Regency, Special Region of Yogyakarta, Indonesia

Murtono

Ushada

Suwondo

2019

IOP Conf. Ser.: Earth Environ. Sci.

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The supply chain of shallot commodities in Bantul Regency involves several business actors including farmers, middlemen, collectors, wholesalers, retailers, and small traders. In the process of each supply chain, risks will always be encountered. The risks in each tier of shallot supply chain certainly need to be identified and analyzed. The categories of each of these risks will determine the appropriate supply chain risk management steps based on the risk categories obtained. This study was conducted to analyze the risk of shallot supply chains in the three largest shallot producing sub-districts. The Rapid Agricultural Supply Chain Risk Assessment (RapAgRisk) method is used to carry out risk analysis, and the sampling method used was purposive sampling and snowball sampling. The results show that the farmer is the tier with most risks faced compared to the others. Excessive stock is the risk that requires adequate priority to manage, and it is faced by all levels of the shallot supply chain. Meanwhile, farmers are the weakest supply chain actors in bargaining power, and the small traders are the most vulnerable actors in the face of risks associated with quality damage and slow sales rate.

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On the Measure Method of Electronic Supply Chain Risk

Cited by 2 publications

References 3 publications

Phases and tools for supply chain risk management: a systematic literature review

Phases and tools for supply chain risk management: a systematic literature review

Shallot supply chain analysis using rapid agricultural supply chain risk assessment method: case in Bantul Regency, Special Region of Yogyakarta, Indonesia

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