TY  - JOUR
AB  - 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.
VL  - 12
IS  - 3
SN  - 1359-8546
DO  - 10.1108/13598540710742518
UR  - https://doi.org/10.1108/13598540710742518
AU  - Chang Tien‐Hsiang
AU  - Fu Hsin‐Pin
AU  - Lee Wan‐I
AU  - Lin Yichen
AU  - Hsueh Hsu‐Chih
ED  - Georgios I. Doukidis
PY  - 2007
Y1  - 2007/01/01
TI  - A study of an augmented CPFR model for the 3C retail industry
T2  - Supply Chain Management: An International Journal
PB  - Emerald Group Publishing Limited
SP  - 200
EP  - 209
Y2  - 2024/04/25
ER  -