Operational supply chain risk identification and prioritization from SCOR model

Abstract

Objective: This study aims to propose a methodology that identifies and prioritizes the operational risk factors in a supply chain (SC) to provide a tool according to the process-based SC approach that is useful for risk assessment throughout the SC. Materials and methods: Risk identification was conducted by a scenario analysis, which linked the risk factors with the standard key performance indicators (KPIs) of the processes and logistics activities proposed by the supply chain operational reference model (SCORM o SCOR). These influence relationships were quantified using a proposed scale, and then, the risk factors were prioritized by the definition of their influence levels. This approach was applied to a real SC. Results and discussion: Twenty risk factors were clearly and effectively identified, analyzed and prioritized, and priority was given to those with the highest influence level, which can be understood as the risk factors that have a larger capacity to negatively affect SC performance. Conclusions: The methodology allows the identification of the most influential risk factors in a SC, and as it is based on a standard model, it fosters a collaborative analysis among its echelons. The main contributions of this paper are the risk identification by means of the KPIs of the SCOR model and the measurement of their influence levels, which is a new and useful feature for risk prioritization.

Integrated Model for Predicting Supply Chain Risk Through Machine Learning Algorithms

“…The potential of applying machine learning algorithms to predict supply chain risk has been recently considered. As we can see, most of the research papers has identified the risk, with only a few studies considering the supply chain operations reference (SCOR) model to identify the various risk events (Huo and Zhang, 2011), risk factors (Ríos et al, 2019), and the risk causes (Tama et al, 2019). To assess these risks, we have applied a machine learning algorithm in our research, and also, we prioritized these risks such as low, medium, high and severe to improve the supply chain performance.…”

Operational Supply Chain Risk Management on Apparel Industry Based on Supply Chain Operation Reference (SCOR)

“…There are several risk factors in the supply chain in the industrial world [11], [12], including the occurrence of losses in the procurement of raw materials and the supply of raw materials not according to the company's request [13]- [16]. In addition, there are factors that influence risk [17]- [19], including problems with production results that are not in line with targets, to delays in product delivery to consumers [20], [21]. Therefore, it is important for companies to plan a concept recommendation to address supply chain risks [1], [22], [23].…”