19,614 research outputs found
Building a Common Ground – The Use of Design Representation Cards for Enhancing Collaboration between Industrial Designers and Engineering Designers
To achieve success in today’s commercial environment, manufacturers have progressively adopted collaboration strategies. Industrial design has been increasingly used with engineering design to enhance competitiveness. Research between the two fields has been limited and existing collaboration methods have not achieved desired results.
This PhD research project investigated the level of collaboration between industrial designers and engineering designers. The aim is to develop an integration tool for enhanced collaboration, where a common language would improve communication and create shared knowledge.
An empirical research using questionnaires and observations identified 61 issues between industrial designers and engineering designers. The results were grouped and coded based on recurrence and importance, outlining 3 distinct problem categories in collaborative activity: conflicts in values and principles, differences in design representation, and education differences.
A taxonomy further helped categorise design representations into sketches, drawings, models and prototypes. This knowledge was indexed into cards to provide uniform definition of design representations with key information. They should benefit practitioners and educators by serving as a decision-making guide and support a collaborative working environment.
A pilot study first refined the layout and improved information access. The final validation involving interviews with practitioners revealed most respondents to be convinced that the tool would provide a common ground in design representations, contributing to enhanced collaboration. Additional interviews were sought from groups of final-year industrial design and engineering design students working together. Following their inter-disciplinary experience, nearly all respondents were certain that the cards would provide mutual understanding for greater product success.
Lastly, a case study approach tested the cards in an industry-based project. A design diary captured and analysed the researchers’ activities and observations on a daily basis. It revealed positive feedback, reinforcing the benefits of the cards for successful collaboration in a multi-disciplinary environment.
Keywords
Industrial Design, Engineering Design, Collaboration, Design Representation, New Product Development.</p
Inhomogeneous Boundary Value Problem for Hartree Type Equation
In this paper, we settle the problem for time-dependent Hartree equation with
inhomogeneous boundary condition in a bounded Lipschitz domain in
. A global existence result is derived.Comment: 10 page
Mergers Simulation and Demand Analysis for the U.S. Carbonated Soft Drink Industry
Replaced with revised version of paper on 09/29/09. Former title: Mergers, Price Competition for the U.S. Carbonated Soft Drink Industrydistance metrics, demand, merger simulation, Agribusiness, Industrial Organization, Marketing, L13, C14,
On aggregation bias in structural demand models
Consumer demand analysis attracts considerable attention. It remains an open question, however, whether estimating demand with aggregate data is reliable when disaggregate store-level data is given. Demand models may produce biased results when applied to data aggregated across stores with different pricing strategies. In this study, the graphical model is used to investigate the following question: Do we find the same structure when we fit causal models on sub-groupings of stores, as we find when we fit models on aggregate data from all stores?causal analysis, aggregation bias, Demand and Price Analysis, C01,
The Revised Individualized Moderately Challenging Mastery Tasks for 15- to 48-month-old Children
Collective Influence of Multiple Spreaders Evaluated by Tracing Real Information Flow in Large-Scale Social Networks
Identifying the most influential spreaders that maximize information flow is
a central question in network theory. Recently, a scalable method called
"Collective Influence (CI)" has been put forward through collective influence
maximization. In contrast to heuristic methods evaluating nodes' significance
separately, CI method inspects the collective influence of multiple spreaders.
Despite that CI applies to the influence maximization problem in percolation
model, it is still important to examine its efficacy in realistic information
spreading. Here, we examine real-world information flow in various social and
scientific platforms including American Physical Society, Facebook, Twitter and
LiveJournal. Since empirical data cannot be directly mapped to ideal
multi-source spreading, we leverage the behavioral patterns of users extracted
from data to construct "virtual" information spreading processes. Our results
demonstrate that the set of spreaders selected by CI can induce larger scale of
information propagation. Moreover, local measures as the number of connections
or citations are not necessarily the deterministic factors of nodes' importance
in realistic information spreading. This result has significance for rankings
scientists in scientific networks like the APS, where the commonly used number
of citations can be a poor indicator of the collective influence of authors in
the community.Comment: 11 pages, 4 figure
THE NEW ECONOMICS OF DISTANCE: LONG-TERM TRENDS IN INDEXES OF SPATIAL FRICTION
Distance-related costs have changed at different rates across categories of resource flows and across modes and media between 1960 and 1998. The cost of moving knowledge/information has dropped much faster than the costs of moving people or materials. The costs of processing and moving information have dropped by 98% and 92% respectively, in real terms since 1960. In addition, there are big differences in the rates of change within the real costs of moving people using different travel modes--just as big differences exist within the real costs of moving materials using different modes. For example, the real costs of moving materials by domestic rail and inland waterway have decreased by 58% and 42% in real terms, respectively, while inter-city trucking costs have not changed significantly in real terms since 1960. Thus, this paper suggests that the 'new economics of distance' is not about the disappearance of distance nor the demise of borders as factors in economics. Rather, 'the new economics of distance' is about the increasing role played by logistics management and the adjustment processes that are occurring as firms creatively seek to substitute between types of resources and between the modes and media for moving those resources.Industrial Organization,
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