... Abstract This paper presents a study that explores whether individual differences of engineering design self-efficacy and Need for Closure relate to cluster formation for a systems clustering design task. A simplified nine-item engineering design self-efficacy measure was used. A fifteen item...

... grouping, and clustering of the elements in the map were examined. The results shed light on the relative difficulty of conceiving and naming the concepts, relations, and distant relations between the concepts, and the patterns of information generation across and within element clusters and temporal...

... maintenance medical devices regression classification clustering Proceedings of the ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference IDETC-CIE2021 August 17-19, 2021, Virtual, Online DETC2021-71333 MACHINE LEARNING TO PREDICT...

... behavior, using the task linear density. The results indicate that the average matching time and task linear density were negatively correlated and that the transport efficiency improved when the P/Ds were frequently transported to a centralized location. AGV transport density clustering traffic...

...-CAD platform. This data corresponds to more than 1,420,000 actions over a span of eight months. Via hierarchical clustering, we group 79 unique CAD activities into 14 categories of CAD action groups, such as Part Studio, Assembly, Comment, View/Scan and Export. Next, we identify the degree to which...

... Abstract Product architecting involves conceptual system design, module identification (clustering) and product layout design. In this paper, we propose a new extended version of the previously introduced Integrated Modularization Methodology (IMM) that integrates technical complexity...

... Abstract This paper presents a clustering technique for the detection of the obstacles and lane boundaries on a road. The algorithm consists of two nested clustering stages. The first stage is based on hierarchical clustering, and the second on k-means clustering. The method exploits...

... a trade-off between customizability and consumer satisfaction. This aims to cater to the requirements of the consumer base and key business advantages allowing for greater usability and maximum profits. attributes configurations conjoint analysis decision making consumer behavior clustering...

... Modular Product Architecture DSM Clustering Minimum Description Length Genetic Algorithm Module formation is the step in which a product’s architecture is established in such a way that complex interactions are intra-modular and inter-modular interactions are more simple. If a matrix...

... and the shared knowledge that individuals working on a joint project possess. Due to these limitations, the socio-technical coordination values have been observed to be very low in the existing literature. We propose two alternate approaches to measuring socio-technical coordination based on clustering...

... cross-validation to a knowledge-base of automobiles. Cost concept case-based reasoning clustering histogram distribution leave-one-out cross validation 1 Copyright © 2011 by ASME Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Computers...

... to the new case, and adapts the solution of the retrieved cases to the new case. This paper illustrates the proposed approach using automobiles as an example. cost concept case-based reasoning clustering distribution 1 Copyright © 2010 by ASME Proceedings of the ASME 2010 International Design...

... applying bootstrap to customers’ preference data obtained from conjoint analysis. The proposed approach is demonstrated in an illustrative example: a decision-analytic automobile concept selection. Concept Selection Decision Analysis Case-Based Reasoning Conjoint Analysis Clustering Bootstrap...

.... KEYWORDS: System, Cost, Concept, Benchmarking, Clustering, Distribution 1. INTRODUCTION When evaluating concepts for new systems and choosing the one that maximizes the expected profit, engineers need to evaluate future market size, market share, and cost of systems developed from each concept. Profit...

... Finite element analysis meshing hexahedral mesh clustering Finite element analysis has become a key technology for a design process of manufacturing industry. A hexahedral mesh is focused, because using a hexahedral mesh increases the quality of analysis. However it is very difficult...

.... Characteristics of the problem are analyzed, and an efficient solution procedure is proposed. The developed model and solution technique can be applied to various scales of the product design and development process, and may open a variety of interesting questions. Partitioning Clustering Decomposition...