A framework for Collaborative Planning, Forecasting and Replenishment (CPFR)

A framework for Collaborative Planning, Forecasting and Replenishment (CPFR): State of the Art

Secure Collaborative Planning, Forecasting, and Replenishment (SCPFR)

Although the benefits of information sharing between supply-chain partners are well known, many companies are averse to share their “private” information due to fear of adverse impact of information leakage. This paper uses techniques from Secure Multiparty Computation (SMC) to develop “secure protocols” for the CPFR r © † (Collaborative Planning, Forecasting, and Replenishment) business proces...

Developing retailer selection factors for collaborative planning, forecasting and replenishment

Purpose– Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this study is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for Collaboration and Collaborative Planning, Forecasting and Replenishment (CPFR) implementation and the relations...

Collaborative Planning, Forecasting and Replenishment: Demand Planning in Suppply Chain Management

Recognizing the value of information sharing among supply chain partners, a growing number of firms have expressed keen interest in jointly creating customer demand, managing business functions and leveraging the strength of their supply chain partners. In particular, such interest sparked the rapid development and implementation of collaborative planning, forecasting and replenishment (CPFR) t...

Collaborative planning forecasting and replenishment: new solutions needed for mass collaboration

The challenge faced by supplier companies in the grocery supply chain for implementing collaborative planning, forecasting and replenishment (CPFR) is how to get the retailer to forecast, especially when it has not been necessary before. In this paper a solution that would allow collaboration on a wide scale is presented. The forecasting approach is called `̀ rank and share’’ and uses input from...