By National Research Council, Division on Engineering and Physical Sciences, Board on Manufacturing and Engineering Design, Commission on Engineering and Technical Systems, Committee on Analysis of Research Directions and Needs in U.S. Manufacturing
To keep up competitiveness within the rising worldwide economic system, U.S. production needs to upward thrust to new criteria of product caliber, responsiveness to clients, and method flexibility. This quantity offers a concise and well-organized research of latest learn instructions to accomplish those objectives. 5 serious components obtain in-depth research of current practices, wanted development, and examine priorities: complicated engineered fabrics that provide the possibility of higher life-cycle functionality and different profits; apparatus reliability and upkeep practices for greater returns on capital funding; quick product attention thoughts to hurry supply to undefined; clever production keep an eye on for stronger reliability and bigger precision; and development a crew with the multidisciplinary talents wanted for competitiveness. This sound and obtainable research should be helpful to production engineers and researchers, company executives, and financial and coverage analysts.
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The power of this approach lies in the ability to identify events and their economic consequences simultaneously. To relate an event to performance measures and, subsequently, to make an economic decision to control a process requires: • the ability to translate the event and the performance measure into monetary terms, • a scientific model that relates production parameters to process parameters, • an economic model that relates resource utilization to process capacity, • knowledge of all the controllable parameters and constraints on production, • a time scale for every controllable feedback and feed-forward loop, and • knowledge of the relationship between a set of controllables and a set of resources.
The following sections examine the world model in terms of integration, control, and intelligence. About this PDF file: This new digital representation of the original work has been recomposed from XML files created from the original paper book, not from the original typesetting files. Page breaks are true to the original; line lengths, word breaks, heading styles, and other typesetting-specific formatting, however, cannot be retained, and some typographic errors may have been accidentally inserted.
A description of each of these issues follows. Data acquisition. S. manufacturing is characterized by thousands of types of data, interfaces, and sensor requirements. S. manufacturers relative to manufacturers in other countries. Without such controllers, data for IMC are simply not available. Another issue in process measurement is the low reliability of gauges, which can corrupt control data. A third issue is the need for communication protocols for moving data to control points. Data correlation.