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- Creators: Hackbarth, Glenn, 1949-
Description
The ability to design high performance buildings has acquired great importance in recent years due to numerous federal, societal and environmental initiatives. However, this endeavor is much more demanding in terms of designer expertise and time. It requires a whole new level of synergy between automated performance prediction with the human capabilities to perceive, evaluate and ultimately select a suitable solution. While performance prediction can be highly automated through the use of computers, performance evaluation cannot, unless it is with respect to a single criterion. The need to address multi-criteria requirements makes it more valuable for a designer to know the "latitude" or "degrees of freedom" he has in changing certain design variables while achieving preset criteria such as energy performance, life cycle cost, environmental impacts etc. This requirement can be met by a decision support framework based on near-optimal "satisficing" as opposed to purely optimal decision making techniques. Currently, such a comprehensive design framework is lacking, which is the basis for undertaking this research. The primary objective of this research is to facilitate a complementary relationship between designers and computers for Multi-Criterion Decision Making (MCDM) during high performance building design. It is based on the application of Monte Carlo approaches to create a database of solutions using deterministic whole building energy simulations, along with data mining methods to rank variable importance and reduce the multi-dimensionality of the problem. A novel interactive visualization approach is then proposed which uses regression based models to create dynamic interplays of how varying these important variables affect the multiple criteria, while providing a visual range or band of variation of the different design parameters. The MCDM process has been incorporated into an alternative methodology for high performance building design referred to as Visual Analytics based Decision Support Methodology [VADSM]. VADSM is envisioned to be most useful during the conceptual and early design performance modeling stages by providing a set of potential solutions that can be analyzed further for final design selection. The proposed methodology can be used for new building design synthesis as well as evaluation of retrofits and operational deficiencies in existing buildings.
ContributorsDutta, Ranojoy (Author) / Reddy, T Agami (Thesis advisor) / Runger, George C. (Committee member) / Addison, Marlin S. (Committee member) / Arizona State University (Publisher)
Created2013
Description
Today's competitive markets force companies to constantly engage in the complex task of managing their demand. In make-to-order manufacturing or service systems, the demand of a product is shaped by price and lead times, where high price and lead time quotes ensure profitability for supplier, but discourage the customers from placing orders. Low price and lead times, on the other hand, generally result in high demand, but do not necessarily ensure profitability. The price and lead time quotation problem considers the trade-off between offering high and low prices and lead times. The recent practices in make-to- order manufacturing companies reveal the importance of dynamic quotation strategies, under which the prices and lead time quotes flexibly change depending on the status of the system. In this dissertation, the objective is to model a make-to-order manufacturing system and explore various aspects of dynamic quotation strategies such as the behavior of optimal price and lead time decisions, the impact of customer preferences on optimal decisions, the benefits of employing dynamic quotation in comparison to simpler quotation strategies, and the benefits of coordinating price and lead time decisions. I first consider a manufacturer that receives demand from spot purchasers (who are quoted dynamic price and lead times), as well as from contract customers who have agree- ments with the manufacturer with fixed price and lead time terms. I analyze how customer preferences affect the optimal price and lead time decisions, the benefits of dynamic quo- tation, and the optimal mix of spot purchaser and contract customers. These analyses necessitate the computation of expected tardiness of customer orders at the moment cus- tomer enters the system. Hence, in the second part of the dissertation, I develop method- ologies to compute the expected tardiness in multi-class priority queues. For the trivial single class case, a closed formulation is obtained. For the more complex multi-class case, numerical inverse Laplace transformation algorithms are developed. In the last part of the dissertation, I model a decentralized system with two components. Marketing department determines the price quotes with the objective of maximizing revenues, and manufacturing department determines the lead time quotes to minimize lateness costs. I discuss the ben- efits of coordinating price and lead time decisions, and develop an incentivization scheme to reduce the negative impacts of lack of coordination.
ContributorsHafizoglu, Ahmet Baykal (Author) / Gel, Esma S (Thesis advisor) / Villalobos, Jesus R (Committee member) / Mirchandani, Pitu (Committee member) / Keskinocak, Pinar (Committee member) / Runger, George C. (Committee member) / Arizona State University (Publisher)
Created2012
ContributorsHackbarth, Glenn, 1949- (Performer) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1986-12-08
ContributorsHackbarth, Glenn, 1949- (Performer) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1985-10-18
ContributorsHackbarth, Glenn, 1949- (Performer) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1993-03-01
ContributorsHackbarth, Glenn, 1949- (Director) / Nottingham, Douglas (Conductor) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1998-04-30
ContributorsSubotnick, Morton (Composer) / Hackbarth, Glenn, 1949- (Contributor) / Spring, Robert (Performer) / Hershberger, Jay (Performer) / Smith, J. B., 1957- (Performer) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1990-12-11
ContributorsHackbarth, Glenn, 1949- (Director) / Contemporary Music Ensemble (Performer) / Graduate Woodwind Quintet (Performer) / ASU Library. Music Library (Publisher)
Created2004-03-09
ContributorsWyatt, Scott (Performer) / Hackbarth, Glenn, 1949- (Performer) / Perantoni, Daniel (Performer) / Smith, J. B., 1957- (Performer) / Spring, Robert (Performer) / New Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created1991-12-06
ContributorsHackbarth, Glenn, 1949- (Director) / Arizona Contemporary Music Ensemble (Performer) / ASU Library. Music Library (Publisher)
Created2012-11-29