|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/inventory-management
课程评论：没有评论
课程名称：库存管理 课程概述：库存是组织的战略资产。有效的库存管理可以减少公司的开支，同时显著提高利润。本课程将探讨如何利用数据科学在不确定环境中管理库存，如何根据客户服务要求设定库存水平，以及如何为短销售周期的产品计算库存。 课程大纲： 1. **稳态需求：无需求变异性** - 在这一模块中，我们将讨论需求行为，特别是稳态需求。此外，我们将探索交货时间，并收集来自多个利益相关者的交货时间信息。本模块最后会演示如何在Excel中计算重新订购点。 2. **具有需求变异性的库存管理** - 本模块将探讨更常见的需求变异性情况。我们将聚焦于变异的来源、应对变异的策略，以及保持安全库存的交货时间计算。 3. **库存作为满足客户服务水平的战略工具** - 本模块中，我们将讨论客户服务水平与库存的关系，以及如何计算安全库存以保持所需的客户服务水平。 4. **报童模型（单期决策模型）** - 在这一模块中，我们将涵盖报童模型、单期产品的示例，以及计算订单数量以减少产品不足或过剩的情况。 通过这门课程，您将掌握有效的库存管理策略，以帮助您的组织最大化利润与客户满意度。
Name:Steady-State Demand: No Demand Variability
Description:Welcome to Module 1, Steady-State Demand: No Demand Variability. In this module, we will begin by discussing demand behavior, specifically steady-state demand. Next, we will explore lead time and gather lead time information from multiple stakeholders. The module will close with a demonstration of how to calculate a reorder point within Excel.
Name:Inventory Management with Demand Variability
Description:Welcome to Module 2. After discussing steady-state demand in Module 1, we will explore the more common situation of demand variability. Specifically, we will focus on sources of variability, strategies for countering variability, and lead time calculations to maintain a safety stock.
Name:Inventory as a Strategic Tool to Meet Customer Service Level
Description:Welcome to Module 3. In this module, we will discuss customer service level, its relationship to inventory, and how to calculate safety stock to maintain a desired customer service level.
Name:Newsvendor Model (One-Period Decision Model)
Description:Welcome to Module 4. In this module, we will cover the newsvendor model, examples of single-period products, and calculating the order quantity to mitigate product underages or overages.
Inventory is a strategic asset for organizations. The effective management of inventory can minimize a company’s spending while dramatically increasing its profit. In this course, we will explore how to use data science to manage inventory in uncertain environments, how to set inventory levels based on customer service requirements, and how to calculate inventory for products that have short sales cycles.
