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Toward a supply chain risk identification and filtering framework using systems theory
Asia Pacific Journal of Marketing and Logistics ( IF 3.9 ) Pub Date : 2020-11-16 , DOI: 10.1108/apjml-05-2020-0342
Jianrong Hou , Xiaofeng Zhao

Purpose

The purpose of the paper is to develop a methodological framework for supply chain risk management using the hierarchical holographic modeling approach. It analyses supply chain risks in a systematic manner and develops a hierarchical methodology for identifying, prioritizing and managing the potential supply chain risks.

Design/methodology/approach

This research reviews supply chain risk management literature and develops a conceptual framework, which outlines general principles and guidelines for managing risks in a systematic manner. Through decomposition, the complexity of supply chain risk can be identified by analyzing smaller subsystems.

Findings

The paper provides a conceptual framework to identify supply chain risks from multiple overlapping perspectives. The structured filtering and ranking procedure enables decision-makers to focus on the most critical risks. The research shows that the supply chain risks associated with the sub-systems within the hierarchical structure contribute to and ultimately determine the risks of the overall supply chain system.

Research limitations/implications

The risks associated with each sub system within the hierarchical structure can contribute to and determine the risks of the overall supply chain system. Further applications in various companies and industry sectors would benefit supply chain managers on a case-by-case basis.

Practical implications

The hierarchical risk identification framework can serve as guidance for applications to specific supply chain systems and processes. The framework from a holistic overlapping perspective can efficiently and effectively help supply chain managers identify supply chain risks and facilitate the evaluation of the subsystem risks.

Originality/value

The paper applies system thinking in supply chain management and presents an efficient and practical framework for supply chain risk identification and evaluation.



中文翻译:

使用系统理论建立供应链风险识别和过滤框架

目的

本文的目的是使用分层全息建模方法开发供应链风险管理的方法论框架。它以系统的方式分析供应链风险,并开发用于识别、优先排序和管理潜在供应链风险的分层方法。

设计/方法/方法

本研究回顾了供应链风险管理文献并制定了一个概念框架,该框架概述了以系统方式管理风险的一般原则和指南。通过分解,可以通过分析更小的子系统来识别供应链风险的复杂性。

发现

本文提供了一个概念框架,可以从多个重叠的角度识别供应链风险。结构化过滤和排序程序使决策者能够专注于最关键的风险。研究表明,与层次结构内的子系统相关的供应链风险有助于并最终决定整个供应链系统的风险。

研究限制/影响

与层次结构内每个子系统相关的风险可以影响和决定整个供应链系统的风险。在各个公司和行业部门的进一步应用将根据具体情况使供应链经理受益。

实际影响

分层风险识别框架可以作为特定供应链系统和流程应用的指南。该框架从整体重叠的角度,可以高效、有效地帮助供应链管理者识别供应链风险,促进子系统风险的评估。

原创性/价值

本文将系统思维应用于供应链管理,提出了一个高效实用的供应链风险识别和评估框架。

更新日期:2020-11-16
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