8 research outputs found
Method Usage in Design: How methods function as mental tools for designers
No full textMethods are means to help designers achieve desired change as efficiently and effectively as possible. Methods can be used to do so in the context of learning - to help teach students how to design on a professional level. Methods can also be used in the context of performance - to help designers perform better at what they already do (well). Methods should be seen as mental tools that influence the thinking patterns and mental models of designers. If we accept that methods function via a designer’s mind, we can see that method usage is a human activity in which the designer is the user. This seems to be an obvious fact to be aware of for a discipline that is characterized by its focus on the user of the products and services they design; yet, quite remarkably, many design researchers have paid little attention to the users of their methods. Instead, most design research is aimed at ‘directly’ improving the design process through methods, often ignoring differences between designers, design contexts and design objects. In this thesis, I argue that an important reason for the current state of design methodology is our marginal understanding of the phenomenon of method usage. The thesis aims to contribute to a more detailed understanding of method usage in design, from the perspective of its central actor: the designer. With that, the thesis hopes to lay a foundation for a more designer-centered methodology that inspires researchers to deliver more valuable and useful methods to the design community and that inspires designers, design educators, design managers and design policy makers to re-think the way they employ and promote design methods in their practices.Product Innovation ManagementIndustrial Design Engineerin
How it was made: A tangible replica with mobile ar
No full textDesign EngineeringIndustrial Design Engineerin
Designers initiating open innovation with multi-stakeholder through co-reflection sessions
Get PDFThis paper explores a designerly approach to open innovation initiation as start of the PhD research of the third author. More specifically, it presents the application of co-reflection sessions by designers in a healthcare open innovation project to initiate multi-stakeholder participation. Integrating co-reflection in open innovation initiation provides designers with the opportunity to a) negotiate with and function in multi-disciplinary environments consisting of stakeholder representatives and stakeholder customers (possible end-users); b) analyze complexity and structure of stakeholder ambitions, wishes, concerns and restrictions in order to frame a collaboration space; c) synthesize, visualize and materialize the value proposition to communicate the benefits to multi-stakeholder networks in order to define a design space and motivate their participation; and what is more important, keeping the balance between design thinking and design action. Lessons learned from this study a) can be used to provide a set of skills and practical guidance to designers when initiating open innovation b) define a spectrum for research on how designers can initiate innovation
Designers initiating open innovation with multi-stakeholder through co-reflection sessions
Get PDFThis paper explores a designerly approach to open innovation initiation as start of the PhD research of the third author. More specifically, it presents the application of co-reflection sessions by designers in a healthcare open innovation project to initiate multi-stakeholder participation. Integrating co-reflection in open innovation initiation provides designers with the opportunity to a) negotiate with and function in multi-disciplinary environments consisting of stakeholder representatives and stakeholder customers (possible end-users); b) analyze complexity and structure of stakeholder ambitions, wishes, concerns and restrictions in order to frame a collaboration space; c) synthesize, visualize and materialize the value proposition to communicate the benefits to multi-stakeholder networks in order to define a design space and motivate their participation; and what is more important, keeping the balance between design thinking and design action. Lessons learned from this study a) can be used to provide a set of skills and practical guidance to designers when initiating open innovation b) define a spectrum for research on how designers can initiate innovation
Impact of Control Allocation Methods on the Design of Control Surface Layouts for Box-Wing Aircraft under Flying Qualities Constraints
No full textThis paper compares optimum control surface layouts designed and sized to obtain the same Flying Qualities (FQs) performance with different Control Allocation (CA) methods, and proposes novel layouts for staggered box-wing aircraft aimed at transonic commercial flight. Box-wings allow the installation of redundant control surfaces for which no explicit role can be defined a priori, but present challenges related to aerodynamic interaction and interference effects. To evaluate the impact of different CA methods on top-level layout parameters, the cumulative control surface span and the properties of the Attainable Moment Set (AMS) corresponding to each control surface layout are used. A physics-based multi-disciplinary optimization framework is developed to size the control surface layout. FQs are evaluated through non-linear flight dynamics simulation, using a variable-architecture flight control system that allows their assessment as a function of different CA methods. The most traditional Mechanical Gearing and Ganging (MGG) approach, the Constrained Pseudo-Inverse (CPI) method and the Direct Control Allocation (DCA) method are compared. Results show that different optimum layouts exist with comparable cumulative span, for a given CA method and same FQs requirements. The traditional MGG approach requires the largest cumulative control surface span, but retains the best ability to generate coupled roll-pitch moments. DCA requires the smallest cumulative control surface span, with the largest AMS volume. By using this method, a novel layout featuring a mid-wing rear elevon has been discovered, which reduces the total required control surface span by about 13%, results in a 3.7% increase of span available for flaps on the front wing, and avoids detrimental aerodynamic interaction effects near the wing-tail intersection region
Designers initiating open innovation with multi-stakeholder through co-reflection sessions
No full textThis paper explores a designerly approach to open innovation initiation as start of the PhD research of the third author. More specifically, it presents the application of co-reflection sessions by designers in a healthcare open innovation project to initiate multi-stakeholder participation. Integrating co-reflection in open innovation initiation provides designers with the opportunity to a) negotiate with and function in multi-disciplinary environments consisting of stakeholder representatives and stakeholder customers (possible end-users); b) analyze complexity and structure of stakeholder ambitions, wishes, concerns and restrictions in order to frame a collaboration space; c) synthesize, visualize and materialize the value proposition to communicate the benefits to multi-stakeholder networks in order to define a design space and motivate their participation; and what is more important, keeping the balance between design thinking and design action. Lessons learned from this study a) can be used to provide a set of skills and practical guidance to designers when initiating open innovation b) define a spectrum for research on how designers can initiate innovation
Designers initiating open innovation with multi-stakeholder through co-reflection sessions
No full textThis paper explores a designerly approach to open innovation initiation as start of the PhD research of the third author. More specifically, it presents the application of co-reflection sessions by designers in a healthcare open innovation project to initiate multi-stakeholder participation. Integrating co-reflection in open innovation initiation provides designers with the opportunity to a) negotiate with and function in multi-disciplinary environments consisting of stakeholder representatives and stakeholder customers (possible end-users); b) analyze complexity and structure of stakeholder ambitions, wishes, concerns and restrictions in order to frame a collaboration space; c) synthesize, visualize and materialize the value proposition to communicate the benefits to multi-stakeholder networks in order to define a design space and motivate their participation; and what is more important, keeping the balance between design thinking and design action. Lessons learned from this study a) can be used to provide a set of skills and practical guidance to designers when initiating open innovation b) define a spectrum for research on how designers can initiate innovation
Medium Term Load Forecasting Using Statistical Feature Self Organizing Maps (SOM)
No full textLoad forecasting is an essential tool for power system activity and planning. With the increase in development and the expansion of power system, it is important for the electrical utility to make a decision in ensuring that there would be enough supply of electricity to deal with the increasing demand. This research presents the Medium Term Load Forecasting using the artificial neural networks: Kohonen’s Self-organizing Maps. The main purpose of this paper was to understand the ability of Self-Organizing Maps in forecasting the load demand and to train and test via SelfOrganizing Maps method using the selected features. Using data provided by the Global Energy Forecasting Competition (GEFCom2012), this paper focused on the missing data from the year 2005 and 2006 for the load forecasting. The loaded data were trained, tested, and forecasted using SOM Toolbox in MATLAB software. The accuracy of the forecasted data was determined by calculating the error of each forecasted data by comparing them with the actual data. Then, the Mean Absolute Percentage Error was computed to determine the accuracy of the results
