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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Keyword
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- <p>Portfolio management -- Data processing<br />Portfolio management -- Mathematical models<br />Mathematical optimization<br />Taguchi methods (Quality control)</p> (1)
- <p>Three-dimensional printing<br />Manufacturing processes -- Automation<br />Production control -- Automation<br />Aerospace industries -- Costs</p> (1)
- Inventory control -- Automation<br />Multiple criteria decision making<br />Radio frequency identification systems (1)
- Manufacturing sytem performance improvement (1)
Articles 1 - 3 of 3
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich
Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich
Doctoral Dissertations
"This research concerns developing an emerging manufacturing technology, additive manufacturing (AM), into a mature and flexible, cost-effective supply chain for aerospace production. The field of additive manufacturing is an approach to low volume manufacturing of plastic or metal parts using three dimensional Computer Aided Design data. As an emerging technology, AM's supply chain is not established compared to conventional aerospace manufacturing technologies, such as injection molding or composite manufacturing. Technical and business challenges limit the robustness of the additive manufacturing system for aerospace applications. The overall intent of this research is to: first, provide an introduction to two main polymer …
Sensor Data-Based Decision Making, Ahmet Soylemezoglu
Sensor Data-Based Decision Making, Ahmet Soylemezoglu
Doctoral Dissertations
"Increasing globalization and growing industrial system complexity has amplified the interest in the use of information provided by sensors as a means of improving overall manufacturing system performance and maintainability. However, utilization of sensors can only be effective if the real-time data can be integrated into the necessary business processes, such as production planning, scheduling and execution systems. This integration requires the development of intelligent decision making models that can effectively process the sensor data into information and suggest appropriate actions. To be able to improve the performance of a system, the health of the system also needs to be …
Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar
Application Of Quality Engineering To Investment Portfolio Selection And Optimization, Vivek Kulinchandra Jikar
Doctoral Dissertations
"The Taguchi System of Quality Engineering (TSQE) is a widely accepted philosophy and set of tools and techniques to rapidly design and manufacture high quality, low cost products and services. It is heavily focused on creating stable system designs that allow a product or system to perform as desired by customers in the environment of their choice. This research demonstrates the power of the TSQE to manage an investment portfolio. In particular, it uses the concept of design stability to select investments and optimize portfolios. It proposes a new design stability-based investment screening metric and discusses its application. Further, this …