You are here

OPTIMIZED MARKET INTRODUCTION OF LARGE CAPITAL PRODUCTS WITH LONG DEVELOPMENT AND LEARNING CYCLES

Download pdf | Full Screen View

Date Issued:
2010
Abstract/Description:
Any product sold is expected to be reliable and available when the customer wants to operate it. Companies that produce large capital products (LCP), such as rockets, satellites, or large gas turbines to generate electrical energy, tend to shy away from extending their testing and validation method above the requirements by law, mainly due to the very high costs of each additional test and the uncertain return on investment. This research shows that todayÂÂ's state of the art validation methods for LCP, required by law, or suggested in literature, and adapted by these industries, are not capable of capturing all significant failure modes (or even enough failure modes), with the consequence that the subsequently sold commercial products will still experience failures with significant effects on product reliability, and subsequently on the companiesÂÂ' bottom line earnings projections. The research determines the type of data (significant variables) necessary to correlate a companyÂÂ's validation policy to product failures after commercialization, and predicts the financial impact of the current validation policy on the companyÂÂ's profitability. A systems dynamics model to assess a company's testing policy is developed and an optimized product validation plan is suggested, and its impact on a companyÂÂ's profitability is demonstrated through simulation. A generic methodology is derived and its viability is illustrated using a specific product and a dynamic model developed with data available to the researcher. The generic method can be applied by any company to develop its own model for optimizing product reliability prior to market introduction.
Title: OPTIMIZED MARKET INTRODUCTION OF LARGE CAPITAL PRODUCTS WITH LONG DEVELOPMENT AND LEARNING CYCLES.
23 views
16 downloads
Name(s): Lembcke, Antje, Author
Malone, Linda, Committee Chair
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2010
Publisher: University of Central Florida
Language(s): English
Abstract/Description: Any product sold is expected to be reliable and available when the customer wants to operate it. Companies that produce large capital products (LCP), such as rockets, satellites, or large gas turbines to generate electrical energy, tend to shy away from extending their testing and validation method above the requirements by law, mainly due to the very high costs of each additional test and the uncertain return on investment. This research shows that todayÂÂ's state of the art validation methods for LCP, required by law, or suggested in literature, and adapted by these industries, are not capable of capturing all significant failure modes (or even enough failure modes), with the consequence that the subsequently sold commercial products will still experience failures with significant effects on product reliability, and subsequently on the companiesÂÂ' bottom line earnings projections. The research determines the type of data (significant variables) necessary to correlate a companyÂÂ's validation policy to product failures after commercialization, and predicts the financial impact of the current validation policy on the companyÂÂ's profitability. A systems dynamics model to assess a company's testing policy is developed and an optimized product validation plan is suggested, and its impact on a companyÂÂ's profitability is demonstrated through simulation. A generic methodology is derived and its viability is illustrated using a specific product and a dynamic model developed with data available to the researcher. The generic method can be applied by any company to develop its own model for optimizing product reliability prior to market introduction.
Identifier: CFE0003413 (IID), ucf:48404 (fedora)
Note(s): 2010-12-01
Ph.D.
Engineering and Computer Science, Department of Industrial Engineering and Management Systems
Masters
This record was generated from author submitted information.
Subject(s): Industrial Engineering
Reliability
Systems Dynamics
Simulation
Large Capital Products
Testing Optimization
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0003413
Restrictions on Access: public
Host Institution: UCF

In Collections