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所在平台: Udemy |
课程主页: https://www.udemy.com/course/industrial-engineering-operations/
课程评论：没有评论
课程名称：运筹学技术：线性规划、运输、CPM/PERT 课程概述：运筹学作为机械、制造和工业工程专业的重要课程之一，在学术能力、竞赛考试及面试中都占有举足轻重的地位。在职业发展方面，运筹学提供了比普通软件和数据分析工具更强大的决策方法。通过运筹学，专业人士能够帮助企业获得更完整的数据集，考虑所有可用选项，预测所有可能的结果，并评估风险。此外，运筹学还可以根据特定的业务流程或用例进行定制，以确定最适合解决问题的技术。 本课程的最终目标是"优化"，课程将传授各种运筹学工具和实践，以期优化问题并提高生产力。课程内容分为几个部分：线性规划问题（LPP）、运输问题、指派问题、调度、排队理论，以及最后的PERT与CPM。 - **线性规划问题（LPP）**：学习如何使用图解法、斜率法和单纯形法等多种方法优化问题，并了解约束条件及特定特殊情况。 - **运输与指派问题**：在运输部分，学习优化运输相关问题的流行方法，如N-W角规则和沃格尔近似法；指派问题中，我们将学习匈牙利法。 - **调度**：调度部分，我们将学习如何通过最短加工时间规则（SPT）和最早到期日规则（EDD）处理n个作业在1台机器上的情况，以及n个作业在2台机器上的情况。 - **排队理论**：了解排队的数学研究，包括肯德尔符号、各种排队术语（如到达率、服务率、呼叫群体等）。 - **网络分析**：通过PERT与CPM进行网络分析，这在项目规划和执行中非常有用。 本课程旨在教授运筹学的学术方面，并充分考虑其实际应用。通过参加本课程，学员不仅可以增加其学术知识，还能获得关于行业中优化的深入见解。
Being one of the most most prominent subject in mechanical/manufacturing/industrial engineering curriculum, This subject has very much weightage in every aspect. Be it for academic proficiency, acing competitive exams or cracking that tough interview, OR (Operations Research) plays a very significant role.In professional front, The field of operations research provides a more powerful approach to decision making than ordinary software and data analytics tools. Employing operations research, professionals can help companies achieve more complete datasets, consider all available options, predict all possible outcomes and estimate risk.. Additionally, operations research can be tailored to specific business processes or use cases to determine which techniques are most appropriate to solve the problem.The ultimate aim of all the tools & practices involved in OR is to "Optimize" In this course we are going to get the knowledge of various tools & practices of operations research with an ultimate aim to optimize problems & increase productivity. The course is divided into several sections, Linear Programming Problems, Transportation problems, Assignment problems, Sequencing, queuing theory & lastly PERT & CPM:Linear Programming Problems (LPP) - In LPP, we will understand how to optimize a problem by using various methods like graphical method, slope method & simplex method. We will also understand about binding constraints & certain special cases.Transportation & Assignment problems - In transportation, we will understand about popular methods like N-W corner rule & Vogel's approximation method to optimize a transportation related problem. Whereas for assignment problems, we will look into Hungarian method.Sequencing - In sequencing we will learn about n jobs in 1 machine via - Shortest Processing Time rule or SPT & Earliest due date rule or EDD. And n jobs in 2 machines.Queuing theory - In queuing theory, we will get to know about the mathematical study of queues, Kendall notation, various queuing terminologies like arrival rate, service rate, calling population & many more.Network analysis - We will do network analysis via PERT & CPM which comes very handy for project planning & execution.The bottom-line of this course is to teach you the academic aspects of operations research keeping in mind the practical application to a greater extent. By taking this course, you are not only increasing your knowledge in academic front but also gaining insights about optimization at industry level.
