Login | Register

Roles of Perception in Engineering Design – A Theoretical Foundation to Improve Designer’s Performance

Title:

Roles of Perception in Engineering Design – A Theoretical Foundation to Improve Designer’s Performance

Tan, Suo (2017) Roles of Perception in Engineering Design – A Theoretical Foundation to Improve Designer’s Performance. PhD thesis, Concordia University.

[img]
Preview
Text (application/pdf)
Tan_PhD_S2017.pdf - Accepted Version
Available under License Spectrum Terms of Access.
8MB

Abstract

Engineering design is a complex decision-making process which frames the transition from an engineering problem to a final product, to meet a set of requirements. During this process, perception is inevitably involved. Perception, a term originated from psychology, referring to a process where a person arrives at an interpretation of his/her sensory experience about the surroundings, has been involved in a broad scope in engineering design, e.g., understanding a design problem, comprehending customers requirements, conceptualizing design thoughts, organizing and managing resources, and evaluating alternative solutions. To study the engineering process from the perception’s perspective, a theoretical model has been proposed. In this model, workload, skill, knowledge, and affect are chosen as major factors. Based on the model and the Environment-Based Design methodology, methods are proposed to quantify designer’s perception and performance at conceptual design stage. Experimental studies have been conducted to validate the proposed model. As a result, the model serves well as a phase-based quantification tool for designer’s perception and performance. In addition, a significant positive correlation has been found between one’s perception and performance. Furthermore, the model implies a foundation to improve one’s performance for engineering design.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (PhD)
Authors:Tan, Suo
Institution:Concordia University
Degree Name:Ph. D.
Program:Industrial Engineering
Date:5 April 2017
Thesis Supervisor(s):Zeng, Yong
ID Code:982322
Deposited By: SUO TAN
Deposited On:01 Jun 2017 12:29
Last Modified:18 Jan 2018 17:54
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Back to top Back to top