A quality risk model based on supply chain perspective

Hong Zhen, Lee Ckm, King Lun Tommy Choy

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Supply chain is a dynamic system and there are a lot of uncertainties in supply chain operations. Quality risk transmits through the supply chain when quality issues are not managed and control appropriately. This may result in increasing Cost of Quality (COQ) and effecting customer satisfaction level. To reach a win-win situation, suppliers need to determine their quality risk management level by considering not only their current COQ, but also the potential future recalls, which affect other partners' interest. Based on the current literature, quantitative models which can simulate the risk transmission along supply chain are seldom used. The contribution of this paper is to quantify the quality risk and analyze risk transmission along supply chain. This paper provides mathematical models to simulate the risk transmission, thus helping suppliers to determine the optimal quality risk management level. In the end, we apply this model in a case company to validate its accuracy.
Original languageEnglish
Title of host publicationSCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems
Subtitle of host publicationLogistics Systems and Engineering
Publication statusPublished - 1 Dec 2010
Event2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010 - Hong Kong, Hong Kong
Duration: 6 Oct 20108 Oct 2010

Conference

Conference2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010
CountryHong Kong
CityHong Kong
Period6/10/108/10/10

Keywords

  • Cost of quality
  • Optimization
  • Quality risk
  • Recall risk
  • Supply chain risk management

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

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