Dissertation/Thesis Abstract

Integrated process design, planning, and stochastic-system optimization
by Elsafadi, Osama Ahmed, D.E., Southern Methodist University, 2009, 196; 3366146
Abstract (Summary)

An integrated process design, planning, and stochastic-system-optimization model is developed to address dynamic process, planning, and quality requirements based on customer needs while focusing on reducing cost or increasing profit. The model optimizes the process steps to achieve the output goals while maximizing profit in the presence of engineering, business, and quality constraints or requirements. A case study from semiconductor manufacturing illustrates the value of this new approach, where process decisions take into account various work-in-process quality grades and uncertain yield rates for a new product.

Indexing (document details)
Advisor: Barr, Richard S.
Commitee: Elkind, Jerome L., Helgason, Richard V., Olinick, Eli V., Stracener, Jerrell T.
School: Southern Methodist University
Department: Engineering Management, Information and Systems
School Location: United States -- Texas
Source: DAI-B 70/07, Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Engineering, Systems science
Keywords: Engineering management, Planning model, Process design model, Quality grading, Stochastic system optimization model
Publication Number: 3366146
ISBN: 9781109267938
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