Supply Chain Analytics

供应链分析

• 批准号: 1000232018-2017
• 负责人: Adulyasak, Yossiri
• 金额: $ 8.74万
• 依托单位: HEC Montréal
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695309
• 关键词: Supply; Chain; Analytics

Supply chain management nowadays relies heavily on data analysis and real-time decision making to deal with rapidly changing environments and ever-increasing customer expectations. The Canada Research Chair in Supply Chain Analytics aims to transform the planning and execution processes through predictive and decision analytics that make use of operations research (OR) and machine learning (ML) techniques, and to bridge the gap between academics and practitioners in the field. The main objectives are to enable seamless integration of planning and real-time execution, to provide supply chain resilience, and to create supply chain intelligence which learns and adapts to the dynamic environments.

如今的供应链管理严重依赖数据分析和实时决策来应对快速变化的环境和不断增长的客户期望。加拿大供应链分析研究主席旨在通过利用运筹学 (OR) 和机器学习 (ML) 技术的预测和决策分析来改变计划和执行流程，并弥合该领域学者和从业者之间的差距。主要目标是实现规划和实时执行的无缝集成，提供供应链弹性，并创建能够学习和适应动态环境的供应链智能。