A study of an augmented CPFR model for the 3C retail industry

Tien‐Hsiang Chang (Department of Information Management, National Kaohsiung University of Applied Science, Kaohsiung, Taiwan, Republic of China)
Hsin‐Pin Fu (Department of Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, Republic of China)
Wan‐I Lee (Department of Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, Republic of China)
Yichen Lin (Institute of Technology Management, National University of Tainan, Tainan, Taiwan, Republic of China)
Hsu‐Chih Hsueh (Smartant Co. Ltd Hsinchu, Taiwan, Republic of China)

Supply Chain Management

ISSN: 1359-8546

Publication date: 8 May 2007

Abstract

Purpose

To propose and test an augmented collaborative planning, forecasting, and replenishment (A‐CPFR) model in a retailer‐supplier context with a view to improving forecasting accuracy and then reducing the “bullwhip effect” in the supply chain.

Design/methodology/approach

After a literature review, the paper presents a real case in which the present authors provided assistance. The description of the case includes: case company background; an “as‐is” model analysis; a “to‐be” (CPFR) model analysis; and a description of the results and potential benefits. The paper then proposes an A‐CPFR model for the case and performs a simulation of the new model for comparison with the existing CPFR model.

Findings

The results show that the mean absolute deviation of forecasting and the inventory variance are both better in the proposed model than in the existing CPFR model. The proposed model can thus improve the accuracy of sales forecasting, reduce inventory levels, and reduce the “bullwhip effect”.

Practical implications

In addition to information provided by the retailer, a logistics supplier should also obtain competitors' promotional information from the market as another factor for forecasting – thus enabling timely responses to demand fluctuations.

Originality/value

The proposed model is an original and useful development on the existing CPFR model. It could become a reference model for the retail industry in implementing CPFR in the future.

Keywords

Citation

Chang, T., Fu, H., Lee, W., Lin, Y. and Hsueh, H. (2007), "A study of an augmented CPFR model for the 3C retail industry", Supply Chain Management, Vol. 12 No. 3, pp. 200-209. https://doi.org/10.1108/13598540710742518

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

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