Discrete Manufacturing Process Design Optimization
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Discrete Manufacturing Process Design Optimization
Discrete manufacturing process design optimization (DMPDO) is a problem of significant importance and interest to the Air Force. Moreover, the complexity of parts that must be manufactured for airplane engines and other units makes this problem extremely difficult. This report summarizes the research that has been conducted in developing the generalized hill climbing (GHC) algorithm framework for discrete optimization problems in general, and the DMPDO problems in particular. Convergence conditions for GHC algorithms have been developed. Ordinal hill climbing (OHC) algorithms were introduced to exploit the efficiency of ordinal optimization and the effectiveness of GHC algorithms to obtain a new class of discrete optimization problem algorithms. The relationship between OHC algorithms and genetic algorithms was also studied. Multiple sequence optimization using GHC algorithms were introduced to optimize across sets of DMPDO sequences. Simultaneous GHC algorithms were introduced as a generalization to optimize across a set of related discrete optimization problems. On-going interactions with researchers at the Materials Process Design Branch of the AFRL at WPAFB and at Austral Engineering and Software, Inc. has resulted in these algorithms being transitioned for application into commercial software tools designed to solve various DMPDO problems of interest to the Air Force.
Analysis and Design of Discrete Part Production Lines
Author: Chrissoleon T. Papadopoulos
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-05-30
Analysis and Design of Discrete Part Production Lines provides a complete overview of production systems, investigating several production line problems, and describing the best approaches to the analysis of production line performance. Written by experts in the field of production and manufacturing research, this book also presents numerous techniques that can be used to describe and model various types of production lines. Special Features: * Includes access to a supplementary web-based software package, providing algorithms and examples, developed by distinguished experts of the field. * Describes new results for evaluative techniques and design algorithms as well as several open problems in production line optimization. * Presents in detail the theory and techniques that underlie production system management, design, and analysis, allowing the book to serve as an excellent introduction to newcomers in the field. * Has potential for use in a graduate level course in industrial or manufacturing engineering, or in a business course with a manufacturing focus. * Contains appendices providing an overview of several mathematical techniques employed to design and evaluate production line models.
Ordinal Optimization
Author: Yu-Chi Ho
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-01-23
Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succinct mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible.