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所在平台: Udemy |
课程主页: https://www.udemy.com/course/supply-chain-analytics1/
课程评论：没有评论
课程名称：供应链分析：战略价值案例 课程概述：本课程旨在为所有层次的供应链分析人员提供指导，适合初学者、高级专家以及管理者，旨在掌握并影响整体的分析战略。课程通过展示多个案例，为发展全面的供应链分析方法奠定基础。课程深入探讨了为了优化全球供应链而设计的供应链分析案例。随着企业的发展及其供应链结构的复杂化，增强可视性和决策支持的需求变得更加迫切。本课程概述了20多个高影响力的供应链价值案例，着重于整体流程视角。分析需要与流程深入整合，以有效支持基于数据的决策。许多案例横跨传统供应链管理实践和先进的数据科学技能，几乎每个案例都可以从简单到复杂地实施。 课程的初始部分将解析供应链管理的四个关键组成部分：采购、生产、计划和配送。接下来的部分将探讨如何在每个模块中整合分析，以提升效率和灵活性。计划的目标是根据整个供应链的能力优化资源分配。分析在“供应链计划矩阵”的多个阶段中发挥重要作用，从复杂的需求预测和库存管理开始。我们将发现，在战略、战术和操作层面精确预测需求模式是至关重要的，而微调库存水平则是应用分析的主要机会。 在采购模块中，分析用于改善供应商选择和绩效，确保高质量的原材料。通过分析供应商数据，企业能够识别供应链中的风险和机会，从而做出更为明智的决策。在生产阶段，分析则被用来优化制造过程，从降低成本到预测性维护。这包括使用与过程状态信息相连的传感器来监控设备健康、预测故障并优化生产计划。 最后，配送环节利用分析提升客户满意度并简化配送物流。这涉及实时跟踪和路线优化算法的应用，以减少运输时间和成本。在课程结束时，参与者将全面了解供应链管理中各种分析应用的广泛知识，并将学习到有关分析之旅的基本最佳实践。这些知识旨在使每个人都能够支持数据驱动的决策，提升运营效率、降低成本和提高客户满意度。
This course is designed for individuals at all levels of expertise in supply chain analytics, from beginners to experts and managers, who aim to grasp and influence the overarching analytics strategy. The cases presented lay the groundwork for developing a comprehensive supply chain analytics approach.This course offers an in-depth overview of supply chain analytics cases to optimize global supply chains. As businesses expand and their supply chain structures grow in complexity, the need for enhanced visibility and decision support becomes imperative. Overall, we outline more than 20 high-impact value cases throughout the supply chain, focusing on the overarching process perspective. Analytics demands thorough integration into processes to support data-driven decision-making effectively. Many of these cases span classical supply chain management practices to advanced data science skills. Nearly every case can be implemented from simple to complex.The initial session will break down the four critical components of supply chain management: sourcing, production, planning, and distribution. Subsequent sections will explore how analytics can be integrated into each segment to enhance efficiency and flexibility.Planning aims to optimize the distribution of resources in line with the capacities throughout the entire supply chain. Analytics can play a crucial role at various stages within the so-called 'supply chain planning matrix,' beginning with sophisticated forecasting and inventory management. We will discover that forecasting demand patterns accurately at strategic, tactical, and operational levels is essential and that fine-tuning inventory levels represents a prime opportunity for applying analytics.In the sourcing module, analytics are applied to improve supplier selection and performance, ensuring high-quality inputs. By analyzing supplier data, companies can identify risks and opportunities in their supply chain, leading to more informed decision-making.The making phase utilizes analytics to refine manufacturing processes, from cost reduction to predictive maintenance. This includes using sensors linked to process status information to monitor equipment health, predict failures, and optimize production schedules.Lastly, the delivery aspect leverages analytics to enhance customer satisfaction and streamline delivery logistics. This involves using real-time tracking and route optimization algorithms to reduce shipping times and costs.At the end of this lecture, attendees will possess a thorough grasp of the vast array of analytics applications within supply chain management. You will be introduced to fundamental best practices for your analytics journey. This knowledge aims to enable everyone to back data-driven decisions that boost operational efficiency, cut costs, and elevate customer satisfaction.
