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2022 | OriginalPaper | Chapter

Supply Chain Risk Management: Experimentation of the Ishikawa Diagram in Upstream Logistics

Authors : El Mehdi Gaou, Salma Gaou, Salah-Eddine Krit, Noura Metawa

Published in: Distributed Sensing and Intelligent Systems

Publisher: Springer International Publishing

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Abstract

Nowadays organizations seeking to apply the concept of logistics cooperated, in another way cooperating all functions into a single string, starting with the acquisition of materials until after sales service. And in a competitive environment, all organizations are also sought to create a good image in the minds of customers. Therefore, these have to work on the quality, delay, and cost. In other words, the company must present to customers a cheaper product with good quality and determined delay. Many of studies have been done aimed to eliminate all possible risks in front of the supply chain. Our approach specifically concerns detailed analysis of dysfunctional of various potential hazards that may arise, by determining all risks through a mapping that can determine the severity of risks based on probability percentage. The results are presented in the form of a Ishikawa diagram (also called fishbone diagrams, herringbone diagrams, cause-and-effect diagrams, or Ishikawa), which is a diagram that shows the causes of an event. In light of the results of this analysis, many are problems may face, such as with raw materials, medium, method, measurement, equipment and means through an Ishikawa diagram. To overcome these problems, we have to establish all the recommendations to develop an action plan that we allow to avoid these risks.

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Metadata
Title
Supply Chain Risk Management: Experimentation of the Ishikawa Diagram in Upstream Logistics
Authors
El Mehdi Gaou
Salma Gaou
Salah-Eddine Krit
Noura Metawa
Copyright Year
2022
DOI
https://doi.org/10.1007/978-3-030-64258-7_31

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