Automated a Manufacturing Business From A to Z with ODOO AI
using AI technology and machines to perform specific tasks Fundamentals of Manufacturing System ‎Design and Analysis
using AI technology and machines to perform specific tasks Fundamentals of Manufacturing System ‎Design and Analysis
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 Goals
After completing this course, participants will be able to:
Compare and contrast different types of discrete manufacturing systems
Describe terminology related to discrete manufacturing systems
Calculate 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 time
Evaluate 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 implementation
Who Should Attend?
Industrial/Manufacturing Engineers
Operations Managers
Anyone Involved with Continuous Improvement of Manufacturing Systems
Do 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
Debes tener en cuenta que los cupones duran maximo 4 dias o hasta agotar 1000 inscripciones,pero puede vencer en cualquier momento. Obten el curso con cupon haciendo clic en el siguiente boton:
Inventory Management,TALLY ERP9,Inventory,Microsoft Excel inventory ,Inventory,stock,Inventory Valuation,LIFO,FIFO,WACC
Ir al CursoLearn to use Aplos, a software specifically designed for Not for Profit Organizations, from a practicing CPA
Ir al CursoLearn how to build an accounting system using Excel and how to enter common transactions from a CPA
Ir al Curso