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所在平台: Udemy |
课程主页: https://www.udemy.com/course/operation-research-k/
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**课程名称：** 运筹学 **课程概述：** 本课程旨在为学生介绍运筹学模型，涵盖线性规划、运输问题、指派问题以及 CPM/PERT 技术及其应用。学生将学习如何构建适用于特定应用的模型，开发最优解决方案，并了解先进的分析技术和解决问题的计算机软件包。 **课程主题：** 1. 运筹学模型导论 2. 线性规划 3. 运输问题与指派问题 4. CPM/PERT 技术及其应用 5. 适用于特定应用的建模与最优解的开发 6. 先进分析技术导论 7. 问题求解的计算机软件包 **学习资源：** * 《运筹学导论》(Introduction To Operations Research) by Fredrick S. Hiller and Gerald J. Lieberman, McGraw Hill, 9th Ed., 2005 * 《运筹学：实用导论》(Operations Research: A Practical Introduction) by Michael W. Carter, Camille C. Price, CRC Press, 2005 **学习目标：** 通过本课程的学习，学生将能够理解并应用各种运筹学工具，以更好地进行工业组织中的决策。
Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.Provide students with a knowledge that can make them appreciate the use of various research operations tools in decision making in industrial organTopics1- Introduction to operations research models2- Linear programming3- Transportation and Assignment4- CPM/PERT techniques and their applications5- Construction of models appropriate to particular applications and Development of optimal solutions6- Introduction to advanced analytic techniques7- Computer packages for problem solvingLearning Resources1- Introduction To Operations Research by Fredrick S. Hiller and Gerald J. Lieberman, McGraw Hill, 9th Ed., 20052- Operations Research: A Practical Introduction, by Michael W. Carter, Camille C. Price, CRC Press, 2005Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.Introduction to operations research models; Linear programming; Transportation; Assignment; CPM/MSPT techniques and their applications; Construction of models appropriate to particular applications; Development of optimal solutions; Introduction to advanced analytic techniques; Computer packages for problem solving.
