Inventory Analytics: A Practicable, Python-Driven Approach

简介:
库存分析为库存控制的理论和实践提供了全面且易于理解的介绍-这是供应链计划的重要研究领域。本书概述了库存系统和调查的基础,用于确定性库存控制的规范性分析模型。它进一步讨论了用于库存控制中需求预测的预测分析技术,并研究了用于随机库存控制的规范分析模型。库存分析是第一本采用可行的Python驱动方法通过计算示例来说明理论和概念的书,书中涵盖的每个模型都附有Python代码。作为一个独立的讲座集合,库存分析将是从业人员,研究人员,教师和学生不可或缺的资源。
英文简介:
Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of Inventory Control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control.
Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.
- 书名
- Inventory Analytics: A Practicable, Python-Driven Approach
- 译名
- 库存分析:一种实用的、由 Python 驱动的方法
- 语言
- 英语
- 年份
- 2021
- 页数
- 186页
- 大小
- 30.85 MB
- 标签
- Python
- 下载
Inventory Analytics: A Practicable, Python-Driven Approach.pdf
- 密码
- 65536
最后更新:2025-04-12 23:54:39