Applying six sigma methodology to collaborative forecasting

K. K. Chang, F. K. Wang

Research output: Contribution to journalJournal Article peer-review

20 Scopus citations


Collaborative planning, together with forecasting and replenishment (CPFR), is a processing tool that improves supply chain management (SCM). The majority of studies done on CPFR have focused on identifying the advantages and future developments of CPFR, along with providing explanations for the implementation stages of CPFR. Six Sigma methodology is a method that can lead to a continuous decrease in process variances. In this paper, we applied Six Sigma methodology and proposed a continuous improvement model on different phases of CPFR. We used a case study to demonstrate how to improve the performance of collaborative forecasts. The results show that the proposed improvement model can effectively improve the accuracy of collaborative forecasts.

Original languageEnglish
Pages (from-to)1033-1044
Number of pages12
JournalInternational Journal of Advanced Manufacturing Technology
Issue number9-10
StatePublished - 11 2008
Externally publishedYes


  • Collaborative forecasting
  • Six Sigma methodology


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