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Case study An automatic document handler(adh)was developed at the ss level. When integrated into the total system there were many new problems. The TQM Problem Solving Process was used, and many problems were solved. However. at the field readiness Test (frt) before entering production the reliability was 15X worse than acceptable O Don Clausing 1998
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Birth-and-Death Queuing Systems 1. m parallel, identical servers. 2. Infinite queue capacity. 3. Whenever users are in system (in queue plus in service) arrivals are Poisson at rate of an per unit of time. 4. Whenever n users are in system, service completions are Poisson at rate of un per unit of time. 5. FCFS discipline
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Background SDM split-summer format M Heavily front-loaded Systems perspective Concern with scaling Product development track, CIPD Place in wider context of product realization Joint 16(Aero/Astro)and 2(Mech E) Robust system design
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Handout 8: Lead compensation Eric Feron March 3, 2004 Lead Compensation goals: Raise phase (and gain) at high frequen- cies while not touching low-frequency system's characteristics: Can extend bandwidth of system Canonical lead element:
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Handout 8: Lead compensation Eric Feron March 1, 2004 Lead Compensation goals: Raise phase( gain) at high frequen cies while not touching low-frequency system's characteristics: Can extend bandwidth of system. Canonical lead element:
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Handout 5: Control System Design Principles Eric Feron Feb20,2004 The standard feedback loop Draw the feedback loop here Tracking requirements:
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9.1 Routh's Stability Criterion About Stability: (P145. Section 1) 9.1.1 Define on the Stability of Closed-loop System: When the transfer function of system is(s), the output
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Vehicle Development Research Laboratory Presented at MIT 4/14/04 for 16.888/sd.77J Multidisciplinary System Design Optimization (MSDO) Prof. Olivier de Weck and Prof. Karen Willcox ... Designing Great GM Cars and Trucks!
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The experience of the 1960s has shown that for military aircraft the cost of the final increment of performance usually is excessive in terms of other characteristics and that the overall system must be optimized, not just performance Ref: Current State of the art of Multidisciplinary design Optimization
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Multidisciplinary System Optimality Conditions & Termination Design Optimization(MSDO) Gradient-based techniques Post-Optimality Analysis Heuristic techniques
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