The Experts below are selected from a list of 218694 Experts worldwide ranked by ideXlab platform
Bruno Lee - One of the best experts on this subject based on the ideXlab platform.
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full factorial Design space exploration approach for multi criteria Decision Making of the Design of industrial halls
Energy and Buildings, 2016Co-Authors: Bruno Lee, Navid Pourmousavian, Jlm Jan HensenAbstract:Abstract Industrial halls pose high energy saving potential that is not yet explored under current Design practice. Common Design approaches such as parametric study or optimization are largely constrained by the assumptions and do not promote flexibility in the Decision Making process. Based on the unique characteristics of industrial halls, this paper develops a full factorial Design space exploration approach to support multi-criteria Design Decision Making. Energy performance, environmental impact, and cost effectiveness are studied over the whole life cycle. The approach is demonstrated with a case study of a warehouse in Amsterdam. Design parameters of interest are the insulation values, construction types, skylight coverage and transpired solar collector coverage. The results indicate that this approach offers Design solutions that might not be otherwise identified. The non-case-specific one-time investigation allows objective space of derived performance to be generated dynamically based on even changing information or inputs specified by the users at the time of Making the Decision. This new Design support approach facilitates Designers to assess feasibility of any Design solution based on their own desired set of performance requirement under different probable scenarios in the future.
Gregory Norris - One of the best experts on this subject based on the ideXlab platform.
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Integrating life cycle cost analysis and LCA
International Journal of Life Cycle Assessment, 2001Co-Authors: Gregory A. Norris, Gregory NorrisAbstract:The private sector Decision Making situations which LCA addresses must also eventually take the economic consequences of alternative products or product Designs into account. However, neither the internal nor external economic aspects of the Decisions are within the scope of developed LCA methodology, nor are they properly addressed by existing LCA tools. This traditional separation of life cycle environmental assessment from economic analysis has limited the influence and relevance of LCA for Decision-Making, and left uncharacterized the important relationships and trade-offs between the economic and life cycle environmental performance of alternative product Design Decision scenarios. Still standard methods of LCA can and have been tightly, logically, and practically integrated with standard methods for cost accounting, life cycle cost analysis, and scenario-based economic risk modeling. The result is an ability to take both economic and environmental performance - and their tradeoff relationships - into account in product/process Design Decision Making.
Jlm Jan Hensen - One of the best experts on this subject based on the ideXlab platform.
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full factorial Design space exploration approach for multi criteria Decision Making of the Design of industrial halls
Energy and Buildings, 2016Co-Authors: Bruno Lee, Navid Pourmousavian, Jlm Jan HensenAbstract:Abstract Industrial halls pose high energy saving potential that is not yet explored under current Design practice. Common Design approaches such as parametric study or optimization are largely constrained by the assumptions and do not promote flexibility in the Decision Making process. Based on the unique characteristics of industrial halls, this paper develops a full factorial Design space exploration approach to support multi-criteria Design Decision Making. Energy performance, environmental impact, and cost effectiveness are studied over the whole life cycle. The approach is demonstrated with a case study of a warehouse in Amsterdam. Design parameters of interest are the insulation values, construction types, skylight coverage and transpired solar collector coverage. The results indicate that this approach offers Design solutions that might not be otherwise identified. The non-case-specific one-time investigation allows objective space of derived performance to be generated dynamically based on even changing information or inputs specified by the users at the time of Making the Decision. This new Design support approach facilitates Designers to assess feasibility of any Design solution based on their own desired set of performance requirement under different probable scenarios in the future.
Timothy W. Simpson - One of the best experts on this subject based on the ideXlab platform.
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Platform Design variable identification for a product family using multi-objective particle swarm optimization
Research in Engineering Design, 2014Co-Authors: Seung Ki Moon, Kyoung-jong Park, Timothy W. SimpsonAbstract:The variability of products affects customers’ satisfaction by increasing flexibility in Decision-Making for choosing a product based on their preferences in competitive market environments. In product family Design, Decision-Making for determining a platform Design strategy or the degree of commonality in a platform can be considered as a multidisciplinary optimization problem with respect to Design variables, production cost, company’s revenue, and customers’ satisfaction. In this paper, we investigate evolutionary algorithms and module-based Design approaches to identify an optimal platform strategy in a product family. The objective of this paper is to apply a multi-objective particle swarm optimization (MOPSO) approach to determine Design variables for the best platform Design strategy based on commonality and Design variation within the product family. We describe modifications to apply the proposed MOPSO to the multi-objective problem of product family Design and allow Designers to evaluate varying levels of platform strategies. To demonstrate the effectiveness of the proposed approach, we use a case study involving a family of General Aviation Aircraft. We show that the proposed optimization algorithm can provide a proper solution in product family Design process through experiments. The limitations of the approach and future work are also discussed.
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preference construction sequential Decision Making and trade space exploration
Design Automation Conference, 2013Co-Authors: Simon W Miller, Timothy W. Simpson, Michael A Yukish, Lorri Bennett, Sara E Lego, Gary Michael StumpAbstract:This paper develops and explores the interface between two related concepts in Design Decision Making. First, Design Decision Making is a process of simultaneously constructing one’s preferences while satisfying them. Second, Design using computational models (e.g., simulation-based Design and model-based Design) is a sequential process that starts with low fidelity models for initial trades and progresses through models of increasing detail. Thus, Decision Making during Design should be treated as a sequential Decision process rather than as a single Decision problem. This premise is supported by research from the domains of behavioral economics, psychology, judgment and Decision Making, neuroeconomics, marketing, and engineering Design as reviewed herein. The premise is also substantiated by our own experience in conducting trade studies for numerous customers across engineering domains. The paper surveys the pertinent literature, presents supporting case studies and identifies use cases from our experiences, synthesizes a preliminary model of the sequential process, presents ongoing research in this area, and provides suggestions for future efforts.Copyright © 2013 by ASME
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application of the generational variety index a retrospective study of iphone evolution
Design Automation Conference, 2012Co-Authors: Gopal Nadadur, Matthew B. Parkinson, Timothy W. SimpsonAbstract:The generational variety index (GVI) helps to identify the components of product variants that are most likely to require reDesign in the future. These components can then be embedded with the flexibility required for them to be easily modifiable; the remaining components can be Designed into a platform. This paper describes the application of the GVI technique in studying the evolution of the Apple iPhone, which was first released in 2007 and has since undergone multiple reDesigns. The analysis includes the five generations of the iPhone (original, 3G, 3GS, 4, and 4S) and focuses primarily on mechanical subsystems. The results of the analysis and subsequent Design recommendations are compared with the actual Design evolution of the iPhone product line. For certain subsystems, this comparison reveals a divergence in Apple’s Design Decision-Making from the evolution recommended by the GVI technique. Limitations include its retrospective nature and the use of only publicly available data.
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the importance of training for interactive trade space exploration a study of novice and expert users
Journal of Computing and Information Science in Engineering, 2011Co-Authors: David Wolf, Timothy W. Simpson, Jennifer Hyland, Xiaolong ZhangAbstract:Thanks to recent advances in computing power and speed, engineers can now generate a wealth of data on demand to support Design Decision-Making. These advances have enabled new approaches to search multidimensional trade spaces through interactive data visualization and exploration. In this paper, we investigate the effectiveness and efficiency of interactive trade space exploration strategies by conducting human subject experiments with novice and expert users. A single objective, constrained Design optimization problem involving the sizing of an engine combustion chamber is used for this study. Effectiveness is measured by comparing the best feasible Design obtained by each user, and efficiency is assessed based on the percentage of feasible Designs generated by each user. Results indicate that novices who watch a 5-min training video before the experiment obtain results that are not significantly different from those obtained by expert users, and both groups are statistically better than the novices without the training video in terms of effectiveness and efficiency. Frequency and ordering of the visualization and exploration tools are also compared to understand the differences in each group's search strategy. The implications of the results are discussed along with future work.
Shwe Soe - One of the best experts on this subject based on the ideXlab platform.
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integrated eco Design Decision Making for sustainable product development
International Journal of Production Research, 2015Co-Authors: Awanis Romli, Paul William Prickett, Rossitza Setchi, Shwe SoeAbstract:This paper presents an integrated eco-Design Decision-Making (IEDM) methodology that is formed using three stages: life cycle assessment, an eco-Design process (Eco-Process) model and an enhanced eco-Design quality function deployment process. All product sustainability considerations are conducted within a special eco-Design house of quality. This brings together the analysis of factors relating to manufacturing processes, product usage and end-of-life strategy. The concentration of environmental considerations in one place insures that product sustainability is central to any Design development and that the implications of change are fully identified and justified. The IEDM methodology utilises of a set of Eco-Process parameters and their associated relationships to allow users with complementary knowledge to enter and access information in a timely and controlled manner. They are then able to contribute their expertise to support Decisions with the aim of providing more sustainable products. An application of the approach is presented in the context of a case study considering the reDesign of a single-use medical forceps. The materials and production methods used are investigated with a view to quantifying their environmental impact. The resulting IEDM methodology can be seen to be widely and easily applicable.