ABC Classification of Risk Factors in Production Supply Chains with Uncertain Data

Vujović, Aleksandar; Đorđević, Aleksandar; Gojković, Ranka; Borota, Milan

doi:10.1155/2017/4931797

Cited by 8 publications

(3 citation statements)

References 39 publications

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“…Similarly, the majority of risks come from the minority of reasons, as long as the cumulative majority of risks are found, the main cause of the minority can be obtained [18]. The advantage of the ABC classification is that it simplifies our workflow and reduces our workload [19]. Because we can identify the major risk factors, we can focus on those risk factors instead of focusing on all the risk factors all the time.…”

Section: Abc Methods Risk Classificationmentioning

confidence: 99%

Research on Transportation Safety of Prefabricated Building Components

Li¹,

Guo

2022

CEJ

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Aiming at the safety problem of the transportation of prefabricated components in prefabricated buildings, set pair analysis (SPA) and Pareto analysis (ABC) are used to propose a transportation safety evaluation model for prefabricated components in prefabricated buildings based on SPA-ABC. Based on the existing research results, the risk factors in the three stages of transportation preparation, transportation work and storage work are sorted out, and the evaluation index system of transportation safety is established. Combining the status quo of transportation operations, SPA is used to determine the index weights. Based on the ABC theory, risk factors are divided into major risk factors (type A), secondary risk factors (type B) and general risk factors (type C), and recommendations are made based on the major risk factors. The results show that ten risk indicators such as transportation operators, transportation plans, and fixing measures for prefabricated components are type A risk factors, which are the focus of prefabricated construction transportation operations.

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Section: Abc Methods Risk Classificationmentioning

confidence: 99%

Research on Transportation Safety of Prefabricated Building Components

Li¹,

Guo

2022

CEJ

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“…Vujović et al [46] Interruptions of working processes, delays of raw materials, malfunctioning of information infrastructure, incorrect forecast, vertical integration of the PSC, uncertain supply, uncertain demand, stocks of goods, flexibility and costs of capacity.…”

Section: Authors Risks Classificationmentioning

confidence: 99%

Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

et al. 2020

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Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the Risk Priority Number (RPN) is proposed within the FMECA framework by means of an integrated Multi-Criteria Decision-Making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of “dependence” among the risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated with input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: When planning interventions of prevention/mitigation, primary importance should be given to (1) supply chain disruptions due to natural disasters; (2) manufacturing facilities, human resources, policies and breakdown processes; and (3) inefficient transport.

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“…To this end, organisations are faced with a variety of situations and risk factors that may impede progress towards their strategic goals. Increasingly, scholars and practitioners are engaging in the discipline of risk management (Fan and Xu, 2021;Longpré et al, 2020), proposing numerous methods of classification and assessment (Vujović et al, 2017). Within this context, risk mapping aims at selecting key risk categories for the purpose of risk assessment (Yildiz et al, 2014).…”

Section: Introductionmentioning

confidence: 99%