Statistical Process Control

Topics: Production and manufacturing, Lean manufacturing, Manufacturing Pages: 3 (711 words) Published: April 5, 2013
Ever since Henry Ford invented the assembly line, industrial innovators have constantly focused on improvement through a variety of different manufacturing strategies. Lean manufacturing is a manufacturing strategy that seeks to produce a high level of throughput with a minimum of inventory. Originally a Japanese methodology known as the Toyota Production System designed by Sakichi Toyoda, lean manufacturing centers around placing small stockpiles of inventory in strategic locations around the assembly line, instead of in centralized warehouses. These small stockpiles are known as kanban, and the use of the kanban significantly lowers waste and enhances productivity on the factory floor. In addition to eliminating waste, lean manufacturing seeks to provide optimum quality by building in a method whereby each part is examined immediately after manufacture, and if there is a defect, the production line stops so that the problem can be detected at the earliest possible time. The lean manufacturing method has much in common with the Total Quality Management (TQM) strategy. Both strategies empower workers on the assembly line, in the belief that those closest to production have the greatest knowledge of how the production system should work. AdChoices

Operations Management
Statistical Process Control
What Are the Benefits of Statistical Process Control?
What Are the Benefits of Statistical Process Control?By Donna Ferrier, eHow Contributor

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tallie: Statistical Process Control,or SPC, is an effective method of monitoring a process through the use of control charts. It involves using statistical techniques to measure and analyze the variation in processes. eHow

Operations Management
Statistical Process Control
How to Do Statistical Process Control
How to Do Statistical Process ControlBy Shane Hall, eHow Contributor

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