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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automated-a-manufacturing-business-from-a-to-z-with-odoo-ai/
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课程名称：使用ODDO AI从A到Z自动化制造业务 课程概述：该课程旨在帮助学员了解制造系统及其物料流动、存储、信息流、能力、事件时间和持续时间的分析方法。作为制造原理的一部分，您将学习如何分析制造系统以优化性能和控制成本。课程重点关注复杂生产线的理解，特别是随机干扰事件的影响及应对方式，以及库存动态和管理。制造系统的设计和分析需要决策能力和分析技巧，管理者和实践者采用多种方法来优化这些系统的性能并控制成本。 在课程中，您将学习各种方法和流程，首先回顾制造过程的步骤和类型、MRP基础以及您的首个制造订单。随后，我们将介绍麻省理工学院开发的随机制造系统模型。本课程提供分析制造系统的方法，包括物料流动与存储、信息流、能力、事件的时间和持续时间等 fundamental 主题。主要内容涵盖概率、库存和排队模型、优化以及线性和动态系统。工厂规划与调度主题包括流程规划、瓶颈特征、缓冲区与批量分析，以及生产系统的动态行为。 课程将涉及以下主题：制造系统模型（包括转移线和灵活制造系统）、性能指标计算（如吞吐量、在制品库存、生产承诺满足情况）、调度的实时控制、机器故障、设定和其他干扰对系统性能的影响。 课程目标：完成本课程后，学员能够： - 比较和对比不同类型的离散制造系统 - 描述与离散制造系统相关的术语 - 计算和解释常见操作性能指标（例如，周期时间、流动时间、利用率、在制品） - 应用Little定律，根据WIP（在制品）确定流动时间或根据流动时间计算WIP - 评估不同的操作员分配到单元或生产线的方法 - 解释持续改进理念及其与制造系统基础的关联（简介精益、约束理论、敏捷制造和快速响应制造） - 运用战略部署以有效实施 适合人群：工业/制造工程师、运营经理、参与制造系统持续改进的人员。 请注意，欢迎信息中有90%折扣的电子书链接！制造秘密：产品开发与灵活自动化的智能制造，使用Odoo 17。
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events,Fundamentals of Manufacturing System Design and Analysis.In this course, part of the Principles of Manufacturing , you will learn how to analyze manufacturing systems to optimize performance and control cost. You will develop an understanding of seemingly opaque production lines with a particular emphasis on random disruptive events - their effects and how to deal with them, as well as inventory dynamics and management.Manufacturing systems are complex and require decision-making skills and analytical analysis. Managers and practitioners use a wide variety of methods to optimize the performance of manufacturing systems and control costs. The many processes and functions involved in building and maintaining these systems demand a high-level of knowledge.In this course, you will learn about these various methods and processes. We will start with a review of The Manufacturing Process: Steps & Types MRP Basics and Your First Manufacturing Order. Lastly, we will introduce stochastic manufacturing systems models developed here at MIT.This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.This course covers the following topics: models of manufacturing systems, including transfer lines and flexible manufacturing systems; calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; real-time control of scheduling; effects of machine failure, set-ups, and other disruptions on system performance.Course GoalsAfter completing this course, participants will be able to:Compare and contrast different types of discrete manufacturing systemsDescribe terminology related to discrete manufacturing systemsCalculate and interpret common performance metrics for operations (e.g. cycle time, flow time, utilization, WIP)Apply Little's Law to determine flow time given WIP and WIP given flow timeEvaluate different ways of assigning operators to cells or production lines.Explain continuous improvement philosophies and how they relate to manufacturing system fundamentals (brief introduction to Lean, Theory of Constraints, Agile Manufacturing, and Quick Response Manufacturing).Leverage strategy deployment for effective implementationWho Should Attend?Industrial/Manufacturing EngineersOperations ManagersAnyone Involved with Continuous Improvement of Manufacturing SystemsDo not forget Get a eBook with a 90% discount Low offer link in the welcome message!!!Manufacturing Secret: Product Development and Intelligent Manufacturing For Flexible Automation With Odoo 17
