A Collaborative Planning Forecasting and Replenishment Solution for Retail Industry
Date Issued
2007
Date
2007
Author(s)
Ting, Tien-Wen
DOI
zh-TW
Abstract
This study examines Collaborative Planning Forecasting and Replenishment (CPFR), a web-based tool proposed by Voluntary Inter-Industry Commerce Standards (VICS) in 2002 to coordinate the various supply chain management activities. A varied number of steps in the CPFR process have been defined depending upon the level of detail and CPFR uses a cyclic and iterative approach to derive consensus future forecasts. Nevertheless, many obstacles to CPFR implementation have been reported in the literature because supply chain partners are skeptical and resistant to change. Therefore, this study aims at proposing a practicable and suitable CPFR process for Taiwan’s retail supply chain through analyzing and modifying the various CPFR processes defined previously. Furthermore, because the main purpose of CPFR is to provide the consensus future forecast, this study suggests an effective CPFR solution to help generating this information in the crucial and complex steps of the proposed CPFR process.
The CPFR process for Taiwan’s retail supply chain consists of seven steps: developing collaborative agreement; creating joint business plan; creating consistent long-term sales forecast; creating consistent short-term sales forecast; creating consistent order forecast; confirming and generating order; and performance analysis. This study defines each step differently in detail for different supply chain structures and adds information feedback and reversed mechanisms between steps to enhance the original CPFR process.
The CPFR solution proposed in this study consists of three modules: (1) Sales Forecasting, including input data analysis, automatic best forecast method learning, and future sales forecast calculation; (2) Replenishment Suggestion, including replenishment calculation and planned purchase order generation; (3) Performance Evaluation, including key performance index (KPI) calculation to evaluate the results of the collaboration.
To show the effectiveness and efficiency of the proposed CPFR process and solution, a prototype was constructed and tested to demonstrate the power of the proposed CPFR process and solution, using scenario analysis and three real cases. As results, this CPFR process and solution for Taiwan’s retail supply chain can be shown to have excellent KPI performance in each scenario and each real case.
Subjects
供應鏈管理
協同規劃預測補貨
銷售預測
需求管理
績效評估
Supply Chain Management
Collaborative Planning Forecasting and Replenishment (CPFR)
Sales Forecasting
Demand Management
Performance Analysis
Type
other
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