By Theodore J. Williams, John P. Shewchuk (auth.), Sanjay B. Joshi, Jeffrey S. Smith (eds.)
With the technique of the twenty first century, and the present tendencies in production, the position of computer-controlled versatile production a vital part within the luck of producing agencies. will take production environments are altering to small batch (with batch sizes diminishing to a volume of one), higher product kind, produc tion on call for with low lead occasions, having the ability to be 'agile.' this can be in stark distinction to standard production which has trusted economies of scale, and the place swap is seen as a disruption and is for this reason harmful to creation. computing device built-in manufac turing (CIM) and versatile production practices are a key part within the transition from traditional production to the 'new' manu facturing surroundings. whereas using pcs in production, from controlling indi vidual machines (NC, Robots, AGVs etc.) to controlling versatile manu facturing structures (FMS) has complicated the flexibleness of producing environments, it really is nonetheless faraway from achieving its complete strength within the setting of the long run. nice strides were made in person applied sciences and regulate of FMS has been the topic of substantial examine, yet automatic store ground regulate isn't really approximately as versatile or built-in as hyped in commercial and educational literature. in truth, the built-in platforms have lagged some distance in the back of what will be completed with current technology.
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Extra info for Computer control of flexible manufacturing systems: Research and development
For decisional tasks - computational load, processing speed, accuracy, etc. For non-decisional tasks amount of information to present, nature of information, etc. - Data storage tasks such as memory, storage and retrieval speed, data integrity, etc. - Data acquisition tasks such as type of physical variable to measure (continuous variables such as temperature; discrete variables such as count data), required sensitivity, resolution, speed of response, etc. - Communications tasks such as transmission rate, bandwidth requirements, etc.
The availability of a reference architecture which defines interoperable components can improve the timeliness, reliability, safety, and extensibility of control systems. This chapter discusses two reference architectures applicable to manufacturing developed by the Manufacturing Engineering Laboratory (MEL) at the National Institute of Standards and Technology (NIST). One reference architecture focuses on providing real-time control of equipment; the other focuses on providing information integration with factory production systems.
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