959 resultados para Prototype Design
Resumo:
In recent years, de-regulation in the airline industry and the introduction of low-cost carriers have conspired to produce significant changes in the airport landscape. From an airport operator’s perspective, one of the most notable has been the shift of capital revenue from traditional airline sources (through exclusive use, long term lease arrangements) to passengers (by way of fees collected from ticket sales). As a result of these developments, passengers have become recognized as major stakeholders who have the power to influence airport profitability. This link between passenger satisfaction and profitability has generated industry wide interest in the “passenger experience”. In this paper, we define the factors which influence passenger experience, namely (a) artifacts, (b) services and (c) the terminal building, and explore the challenges that exist in the current approaches to terminal design. On the basis of these insights, we propose a conceptual model of passenger experience, and motivate its use as a framework for further research into improving terminal design from a passenger oriented perspective.
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Here we present a sequential Monte Carlo approach to Bayesian sequential design for the incorporation of model uncertainty. The methodology is demonstrated through the development and implementation of two model discrimination utilities; mutual information and total separation, but it can also be applied more generally if one has different experimental aims. A sequential Monte Carlo algorithm is run for each rival model (in parallel), and provides a convenient estimate of the marginal likelihood (of each model) given the data, which can be used for model comparison and in the evaluation of utility functions. A major benefit of this approach is that it requires very little problem specific tuning and is also computationally efficient when compared to full Markov chain Monte Carlo approaches. This research is motivated by applications in drug development and chemical engineering.
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This paper showcases two design tools; the ‘storyboard’ and ‘a day in the life’ demonstrated to design students in their foundational year (first year) of study. By employing these tools during the design process the aim was to provoke students to consider and design for emotional experiences for potential users. The assessment asked students to design an MP3 player using these tools. This is demonstrated through a student project that successfully used the tools and method introduced. The teaching theory, project context, student outcome as well as challenges faced by students using this approach are discussed. The paper concludes with implications for teaching emotion theory at an undergraduate level and potential future directions.
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In response to the need to leverage private finance and the lack of competition in some parts of the Australian public sector infrastructure market, the Australian Federal government has demonstrated its desire to attract new sources of in-bound foreign direct investment (FDI) by multinational contractors. This study aims to update progress towards an investigation into the determinants of multinational contractors’ willingness to bid for Australian public sector major road and bridges. This research deploys Dunning’s eclectic theory for the first time in terms of in-bound FDI by multinational contractors into Australia. Elsewhere, the authors have developed Dunning’s principal hypothesis to suit the context of this research and to address a weakness arising in this hypothesis that is based on a nominal (yes or no) approach to the ownership, location and internalisation factors in Dunning's eclectic framework and which fails to speak to the relative explanatory power of these factors. The authors have completed a first stage test of this development of Dunning's hypothesis based on publically available secondary data, in which it was concluded tentatively that the location factor appears to have the greatest explanatory power. This paper aims to present, for the first time, a further and novel development of the operation of Dunning's eclectic paradigm within the context of multinational contracting, as well as a preview of the design and planned analysis of the next empirical stage in this research concerning case studies. Finally, and beyond the theoretical contributions expected, other expected contributions are mentioned concerning research method and practical implications.
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In this paper we present a methodology for designing experiments for efficiently estimating the parameters of models with computationally intractable likelihoods. The approach combines a commonly used methodology for robust experimental design, based on Markov chain Monte Carlo sampling, with approximate Bayesian computation (ABC) to ensure that no likelihood evaluations are required. The utility function considered for precise parameter estimation is based upon the precision of the ABC posterior distribution, which we form efficiently via the ABC rejection algorithm based on pre-computed model simulations. Our focus is on stochastic models and, in particular, we investigate the methodology for Markov process models of epidemics and macroparasite population evolution. The macroparasite example involves a multivariate process and we assess the loss of information from not observing all variables.
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A re-examination of design education at all levels is needed to ensure global economic competitiveness and social and environmental sustainment. This paper presents an emerging research agenda modelling design led innovation approaches from the business sector to secondary education curriculum. To do this, a review of literature is provided and current knowledge gaps surrounding design education are detailed. A regional secondary school design immersion program is outlined as a future research case study using action research. A framework and recommendations for developing and delivering pedagogical approaches for 21st century skill outcomes in secondary education are briefly introduced and future research objectives are overviewed and discussed.
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The purpose of this study is to deepen our knowledge and understanding of the challenges faced by design champions in proposing and applying design methods and insights in existing firms. This study investigates the early stages of the journey of the design champions as they incorporate design into operational and strategic conversations and practices, and their progress in mastering these challenges as opportunities in a firm context. Little research on this topic has been reported, yet it is of growing interest as more firms turn to design-led innovation to shape their strategies and practices. Interviews with design champions were used to investigate first hand the experience and reflections the many challenges provide. Findings from the study provide some early insights that can be extended through further research.
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The following paper presents insights found during an ongoing industry engagement with a family-owned manufacturing SME in Australia. The initial findings presented as a case study look at the opportunities available to the firm engaging in a design led approach to innovation. Over the period of one year, the first author’s immersion within the firm seeks to unpack the cultural, strategic, product opportunities and challenges when adopting design led innovation. This can provide a better understanding of how a firm can more effectively assess their value proposition in the market and what factors of the business are imperative in stimulating competitive difference. The core insight identified from this paper is that design led innovation cannot be seen and treated as a discrete event, nor a series of steps or stages; rather the whole business model needs to be in focus to achieve holistic, sustainable innovation. Initial insights were found through qualitative interviews with internal employees including: overcoming silos; moving from reactive to proactive design; empowerment; vision for growth and the framing of innovation.
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The relationship between design process and business systems has been of interest to both practitioners and researchers exploring the numerous opportunities and challenges of this unlikely relationship. Often the relationship is presented as building design thinking capability within an organization, which can be broadly described as the union of design and strategy. Brown (2008) notes that design thinking is ‘‘a discipline that uses the designer’s sensibility and methods to match people’s needs with what is technically feasible and what business strategy can convert into customer value and market opportunities’’ (p. 1). The value that design thinking brings to an organization is a different way of framing situations and possibilities, doing things, and tackling problems: essentially a cultural transformation of the way it undertakes its business. The work of Martin (2009) has clearly shown the generalized differences between design thinking and business thinking, highlighting many instances in which these differences have been overcome, but also noting the many obstacles of trying to unify both approaches within an organization. Liedtka (2010) encourages firms to try and persist in overcoming these barriers, as she has noted that ‘‘business strategy desperately needs design ... because design is all about action and business strategy too often turns out to be only about talk ... fewer than 10 percent of new strategies are ever fully executed’’ (p. 9).
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As increasing numbers of Chinese language learners choose to learn English online (CNNIC, 2012), there is a need to investigate popular websites and their language learning designs. This paper reports on the first stage of a study that analysed the pedagogical, linguistic and content features of 25 Chinese English Language Learning (ELL) websites ranked according to their value and importance to users. The website ranking was undertaken using a system known as PageRank. The aim of the study was to identify the features characterising popular sites as opposed to those of less popular sites for the purpose of producing a framework for ELL website design in the Chinese context. The study found that a pedagogical focus with developmental instructional materials accommodating diverse proficiency levels was a major contributor to website popularity. Chinese language use for translations and teaching directives and intermediate level English for learning materials were also significant features. Content topics included Anglophone/Western and non-Anglophone/Eastern contexts. Overall, popular websites were distinguished by their mediation of access to and scaffolded support for ELL.
Resumo:
With growing international interest in diversifying sites for pedagogical work within the doctorate, doctoral programs of different kinds are being developed in different disciplinary, institutional and national settings. However, little is known about how the pedagogical work of these programs is designed and enacted, and with what effects. In this paper, we present two cases of doctoral pedagogical work being undertaken within different disciplinary and institutional settings to describe how learning opportunities were designed and to theorise what it means to be engaged in doing doctoral pedagogy. Starting from the position that working from a design model supports systematic and rigorous documentation and development of pedagogy, we employ the twin concepts of design and action, drawing broadly on rhetorical and ethnomethodological understandings of pedagogy as social action. Of particular interest within the concept of design itself is the concept of enactment, the translation of designs into the practices of doctoral work. Together, the two cases become a resource for ‘slowing down’ and making visible the practices of doctoral pedagogy that often go unrecognised because they appear so ordinary and everyday. This call for examining close-up existing doctoral education practices and relationships is attending to the ‘next challenge for doctoral education’ (Green, 2009).
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The effect of resource management on the building design process directly influences the development cycle time and success of construction projects. This paper presents the information constraint net (ICN) to represent the complex information constraint relations among design activities involved in the building design process. An algorithm is developed to transform the information constraints throughout the ICN into a Petri net model. A resource management model is developed using the ICN to simulate and optimize resource allocation in the design process. An example is provided to justify the proposed model through a simulation analysis of the CPN Tools platform in the detailed structural design. The result demonstrates that the proposed approach can obtain the resource management and optimization needed for shortening the development cycle and optimal allocation of resources.
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During an intensive design-led workshop multidisciplinary design teams examined options for a sustainable multi-residential tower on an inner urban site in Brisbane (Australia). The main aim was to demonstrate the key principles of daylight to every habitable room and cross-ventilation to every apartment in the subtropical climate while responding to acceptable yield and price points. The four conceptual design proposals demonstrated a wide range of outcomes, with buildings ranging from 15 to 30 storeys. Daylight Factor (DF), view to the outside, and the avoidance of direct sunlight were the only quantitative and qualitative performance metrics used to implement daylighting to the proposed buildings during the charrette. This paper further assesses the daylighting performance of the four conceptual designs by utilizing Climate-based daylight modeling (CBDM), specifically Daylight Autonomy (DA) and Useful Daylight Illuminance (UDI). Results show that UDI 100-2000lux calculations provide more useful information on the daylighting design than DF. The percentage of the space with a UDI <100-2000lux larger than 50% ranged from 77% to 86% of the time for active occupant behaviour (occupancy from 6am to 6pm). The paper also highlights the architectural features that mostly affect daylighting design in subtropical climates.
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Stormwater has been recognised as one of the main culprits of aquatic ecosystem pollution and as a significant threat to the goal of ecological sustainable development. Water sensitive urban design is one of the key responses to the need to better manage urban stormwater runoff, the objectives of which go beyond rapid and efficient conveyance. Underpinned by the concepts of sustainable urban development, water sensitive urban design has proven to be an efficient and environmentally-friendly approach to urban stormwater management, with the necessary technical know-how and skills already available. However, large-scale implementation of water sensitive urban design is still lacking in Australia due to significant impediments and negative perceptions. Identification of the issues, barriers and drivers that affect sustainability outcomes of urban stormwater management is one of the first steps towards encouraging the wide-scale uptake of water sensitive urban design features which integrate sustainable urban stormwater management. This chapter investigates key water sensitive urban design perceptions, drivers and barriers in order to improve sustainable urban stormwater management efforts.
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The automotive industry has been the focus of digital human modeling (DHM) research and application for many years. In the highly competitive marketplace for personal transportation, the desire to improve the customer’s experience has driven extensive research in both the physical and cognitive interaction between the vehicle and its occupants. Human models provide vehicle designers with tools to view and analyze product interactions before the first prototypes are built, potentially improving the design while reducing cost and development time. The focus of DHM research and applications began with prediction and representation of static postures for purposes of driver workstation layout, including assessments of seat adjustment ranges and exterior vision. Now DHMs are used for seat design and assessment of driver reach and ingress/egress. DHMs and related simulation tools are expanding into the cognitive domain, with computational models of perception and motion, and into the dynamic domain with models of physical responses to ride and vibration. Moreover, DHMs are now widely used to analyze the ergonomics of vehicle assembly tasks. In this case, the analysis aims to determine whether workers can be expected to complete the tasks safely and with good quality. This preface provides a review of the literature to provide context for the nine new papers presented in this special issue.