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Collaborative planning, forecasting and replenishment: demand planning in supply chain management

机译:协作计划,预测和补货:供应链管理中的需求计划

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摘要

Recognising the value of information sharing among supply chain partners, a growing number of firms have expressed keen interest in jointly forecasting customer demand and co-managing business functions. In particular, such interest sparked the rapid development and implementation of Collaborative Planning, Forecasting and Replenishment (CPFR) that was proven to be successful in minimising safety stocks, improving order fill rates, increasing sales, and reducing customer response time. Despite increasing popularity, key drivers for the successful development and implementation of CPFR have not been fully understood by practitioners and academicians alike. This paper unveils the invisible challenges and opportunities for adopting and implementing CPFR. Also, it provides an overview of CPFR in comparison to other alternative forecasting techniques such as agent-based forecasting and focus forecasting, while synthesising the past evolutions and future trends of CPFR in a supply chain setting.
机译:意识到供应链合作伙伴之间信息共享的价值,越来越多的公司对联合预测客户需求和共同管理业务功能表现出浓厚的兴趣。特别是,这种兴趣激发了协作计划,预测和补给(CPFR)的快速开发和实施,事实证明,这种协作可成功地减少安全库存,提高订单执行率,提高销售量并减少客户响应时间。尽管越来越受欢迎,但从业人员和学者们尚未完全理解CPFR成功开发和实施的关键驱动力。本文揭示了采用和实施CPFR所面临的无形挑战和机遇。此外,与其他替代性预测技术(例如基于代理的预测和重点预测)相比,它还提供了CPFR的概述,同时在供应链环境中综合了CPFR的过去发展和未来趋势。

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