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所在平台: Udemy |
课程主页: https://www.udemy.com/course/demand-management-forecasting-advanced-level/
课程评论:没有评论
课程名称:需求管理与预测(高级水平) 课程概述: 本高级课程专为寻求掌握需求管理和预测技术的供应链专业人员设计。课程重点提供实用且可操作的见解,探讨需求预测与规划的战略和操作层面,使参与者能够提升决策能力并改善整体业务效率。课程涵盖一系列高级主题,包括定量和定性预测方法、需求感知、需求塑造和情景规划。参与者将深入研究统计模型、机器学习技术和时间序列分析,学习如何将这些工具应用于各种商业环境的需求预测。 此外,课程还探讨了需求预测与销售和运营规划(S&OP)的整合,以便对齐业务职能、改善库存管理,并实时响应市场变化。通过案例研究、互动研讨会和与行业相关的模拟,参与者将掌握预测客户需求、优化供应链绩效以及减轻需求波动相关风险的技能。该课程旨在为已经具备需求规划基础知识的供应链、物流、生产和运营管理专业人员提供进一步提高专业性的机会。 完成课程后,参与者将具备推动卓越需求预测和管理成效的工具。
This advanced-level course is designed for supply chain professionals seeking to master demand management and forecasting techniques. With a focus on delivering practical, actionable insights, the course explores both strategic and operational aspects of demand forecasting and planning, enabling participants to enhance their decision-making and improve overall business efficiency.The curriculum covers a range of advanced topics, including quantitative and qualitative forecasting methods, demand sensing, demand shaping, and scenario planning. Participants will dive deep into statistical models, machine learning techniques, and time series analysis, learning how to apply these tools to forecast demand in various business environments. The course also explores the integration of demand forecasting with Sales and Operations Planning (S & OP) to align business functions, improve inventory management, and respond to market changes in real-time.Through hands-on case studies, interactive workshops, and industry-relevant simulations, participants will gain the skills to anticipate customer needs, optimize supply chain performance, and mitigate risks associated with demand fluctuations. The course is designed for professionals in supply chain, logistics, production, and operations management who already have a foundational understanding of demand planning and are looking to advance their expertise in the field.Upon completion, participants will be equipped with the tools to drive superior demand forecasting and management outcomes.