Customizing Products Using Functional Component Matrices

2008 ◽  
Author(s):  
Ali Kamyab ◽  
Kemper E. Lewis
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Change Propagation ◽  
Modern Design ◽  
Functional Component ◽  
Engineering Design Process ◽  
Function Change ◽  
Product Customization ◽  
The Impact ◽  
Component Matrix

Modern design methodologies have used Function Component Matrices in a variety of different ways in order to support various facets of an engineering design process. The mapping of functions to components can be used to model and capture the dependencies and relationships that exist. This process is accomplished by breaking down complicated functions into smaller, easier to understand functions. This decomposition allows engineers to get a better understanding for how a change in each component within a product will affect the overall operation of the product. Being able to recognize the impact of the propagation of a sub-function change will give designers a better understanding of the flexibility (or lack thereof) of choices they have when designing a product for customization. In turn they can be used to inform the consumer regarding the consequences their customization choices can have on the final product. This paper discusses how a Functional Component Matrix (FCM) can be used to assist in this process of product customization and understanding change propagation.

scholarly journals Scheduling of Changes in Complex Engineering Design Process via Genetic Algorithm and Elementary Effects Method

2014 ◽  
Vol 6 ◽  
pp. 169097
Author(s):  
Yuliang Li ◽  
Wei Zhao ◽  
Yongsheng Ma ◽  
Lichen Hu
Keyword(s):  
Genetic Algorithm ◽  
Engineering Design ◽  
Design Process ◽  
Cost Effective ◽  
Propagation Path ◽  
Change Propagation ◽  
Engineering Design Process ◽  
Effective Manner ◽  
Complex Engineering ◽  
Encoding Method

Engineering design changes constantly occur in a complex engineering design process. Designers have to put an appropriate procedure in place to handle these changes in order to realize successful product development in a timely and cost-effective manner. When many change propagation paths are present, selection of the best change evolution paths and distribution of change results to downstream tasks become critical to the progress management of the project. In this paper, based on the available change propagation simulation algorithm, a global sensitivity analysis method known as elementary effects (EE) is employed to rank the importance of each potential propagation path with those involved design dependencies in the process. Further, an EE-based heuristic design dependency encoding method is applied to the genetic algorithm which is then adopted to schedule the change updating process. Finally, the optimal results obtained by the complete search and the heuristic dependency encoding methods are compared to illustrate the improvements and effectiveness of the latter method.

How Engineering Design Students’ Creative Preferences and Cognitive Styles Impact Their Concept Generation and Screening

2018 ◽  
Author(s):  
Katie Heininger ◽  
Hong-En Chen ◽  
Kathryn Jablokow ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Students ◽  
Idea Generation ◽  
Risk Tolerance ◽  
Concept Generation ◽  
Undergraduate Engineering ◽  
Engineering Design Process ◽  
Individual Traits ◽  
The Impact

The flow of creative ideas throughout the engineering design process is essential for innovation. However, few studies have examined how individual traits affect problem-solving behaviors in an engineering design setting. Understanding these behaviors will enable us to guide individuals during the idea generation and concept screening phases of the engineering design process and help support the flow of creative ideas through this process. As a first step towards understanding these behaviors, we conducted an exploratory study with 19 undergraduate engineering students to examine the impact of individual traits, using the Preferences for Creativity Scale (PCS) and Kirton’s Adaption-Innovation inventory (KAI), on the creativity of the ideas generated and selected for an engineering design task. The ideas were rated for their creativity, quality, and originality using Amabile’s consensual assessment technique. Our results show that the PCS was able to predict students’ propensity for creative concept screening, accounting for 74% of the variation in the model. Specifically, team centrality and influence and risk tolerance significantly contributed to the model. However, PCS was unable to predict idea generation abilities. On the other hand, cognitive style, as measured by KAI, predicted the generation of creative and original ideas, as well as one’s propensity for quality concept screening, although the effect sizes were small. Our results provide insights into individual factors impacting undergraduate engineering students’ idea generation and selection.

scholarly journals The Impact of Engineering Design Process in Teaching and Learning to Enhance Students’ Science Problem-Solving Skills

2018 ◽  
Vol 7 (1) ◽  
pp. 66-75 ◽  
Author(s):  
M. Syukri ◽  
L. Halim ◽  
L. E. Mohtar ◽  
S. Soewarno
Keyword(s):  
Problem Solving ◽  
Secondary School ◽  
Engineering Design ◽  
Design Process ◽  
Teaching And Learning ◽  
School Students ◽  
Problem Solving Skills ◽  
Learning Module ◽  
Engineering Design Process ◽  
The Impact

This study aimed to determine the impact of the integration of engineering design process (asking, imagining, planning, creating and improving) in an electrical & magnetism module to improve problem-solving skills in physics among secondary school students in Aceh, Indonesia. The quasi-experimental study was carried out with 82 form three (age 15 years old) students of a secondary school in Aceh Besar, Indonesia. The first author had randomly chosen two classes as the experimental group and two other classes as the control group. Independent samples t-test analysis was conducted to determine the difference between the physics teaching and learning module which integrated the five steps of engineering design process and the existing commonly used science “Pudak” teaching and learning module. The results of the independent samples t-test analysis showed that the use of the physics teaching and learning module which integrated the five steps of engineering design process was more effective compared to the use of the existing “Pudak” module in increasing the students’ skills in solving physics problems. The findings of the study suggest that the science learning approach is appropriate to be applied in the teaching and learning of science to enhance science problem-solving skills among secondary school students. In addition, it can be used as a guide for teachers on how to implement the integration of the five steps of engineering design process in science teaching and learning practices.

Exploring the Engineering Design Process Through Computer-Aided Design and 3-D Printing

Science Scope ◽  
2017 ◽  
Vol 041 (01) ◽  
Author(s):  
Nicholas Garafolo ◽  
Nidaa Makki ◽  
Katrina Halasa ◽  
Wondimu Ahmed ◽  
Kristin Koskey ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Computer Aided Design ◽  
Engineering Design Process ◽  
Computer Aided ◽  
Aided Design

scholarly journals Challenging the engineering design process for the development of facial masks in the constraint of the COVID-19 pandemic

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 660-665
Author(s):  
Giovanni Formentini ◽  
Núria Boix Rodríguez ◽  
Claudio Favi ◽  
Marco Marconi
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Design Process
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