• Title/Summary/Keyword: Industrial Design Engineering

Search Result 5,482, Processing Time 0.042 seconds

Development of the Evaluation System for Learning Outcomes of Capstone Design Course (캡스톤디자인 교과목의 학습성과 평가체계 개발)

  • Kim, Sang-Kyun
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.12 no.8
    • /
    • pp.3452-3457
    • /
    • 2011
  • This paper introduces a case study on the development of the evaluation system for capstone design course which is usually provided at engineering education program. A capstone design is an engineering education course which aims to improve the students' ability on analysis and design of practical industrial problems by use of overall engineering knowledge which has been learned in undergraduate program. Firstly, this paper provides a literature review on evaluation indices and methods related with a capstone design course. Secondly, the evaluation system for learning outcomes of capstone design course is described. The evaluation system for learning outcomes of capstone design course provided in this paper could be referred by other universities opening a capstone design course, and used to design an evaluation system for internship program or education course which is provided as an industry-academic connection program.

Economic Design of Automated Spiral Parking System

  • Oh, Yonghui;Sung, Yun Chul;Hwang, Hark
    • Industrial Engineering and Management Systems
    • /
    • v.7 no.2
    • /
    • pp.182-188
    • /
    • 2008
  • Automated parking systems, which automatically park and retrieve vehicles, have been steadily replacing conventional parking systems. The spiral parking system is a type of automated parking systems that has cylindrical parking tower. We develop an economic design model of spiral parking system based on a recursive optimization and simulation procedure in which the dynamic nature of the parking system can be integrated into the mathematical programming model. The optimal values of design parameters are found that gives the minimum total cost while complying with the desired performance of the system.

A Model of the Curriculum Flowchart for Industrial Engineering (산업공학 교과과정 이수체계에 관한 연구)

  • Hong, Sung-Jo
    • Journal of Engineering Education Research
    • /
    • v.16 no.6
    • /
    • pp.78-86
    • /
    • 2013
  • This paper presents an undergraduate curriculum flowchart model for industrial engineering. Because Industrial Engineering deals with wider categories today than before, the coherent curriculum flowchart design is very difficult. We propose an effective approach using knowledge profile analysis for each course.

A Heuristic Approach Solving for the Complex Design with Precedence Constraints in Concurrent Engineering (복합설계를 위한 동시공학적 접근방법)

  • Cho, Moon-Soo;Kim, Chang-Yeong
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.24 no.2
    • /
    • pp.185-197
    • /
    • 1998
  • Engineering design involves the specification of many variables that define a product, how it is made, and how it behaves. Before some variables can be determined, other variables must first be known or assumed. This fact implies a precedence order of the variables, and of the tasks of determining these variable consequently. Moreover, design of complex systems may involve a large number of design activities. In this paper, the activity-activity incidence matrix is considered as a representation of design activity analysis which mainly focuses on the precedence constraint. In order to analyze the activity-activity incidence matrix, a heuristic algorithm is proposed, which transforms an activity-activity, parameter-formula, and parameter-parameter incidence matrix into a lower triangular form. The analysis of the structured matrices can not only significantly reduce the overall project complexity by reorganizing few critical tasks in practice, but also aims at obtaining shorter times considering the solution structure by exploring concurrency.

  • PDF

Design Principle for Disassemblability of Products (제품의 분리용이성을 위한 설계원칙)

  • Mok, Hak-Soo;Han, Chang-Hyo;Jeon, Chang-Su;Song, Min-Jun
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.16 no.6
    • /
    • pp.48-57
    • /
    • 2008
  • This paper shows the procedure to decide an optimal design principle for improving the disassemblability with considering of disassembly conditions. On the bssis of the disassembly mechanism of products and the structure of parts and subassembly, the disassemblability is classified into four categories: graspability, accessibility, transmission of disassembly power and handling. The weighting values of the influential factors are calculated by the method of AHP(Analytic Hierarchy Process). The disassemblability is evaluated quantitatively. We established some score tables for the evaluation. Using these score tables, several principles for higher disassemblability in accordance with work conditions can be decided. An optimal design principle can be found by the comparison with the total scores of some disassembly conditions.

A Quantitative Study of Influencing Factors on Crowd Participation in a Crowdsourcing Project for Consumer Product Design

  • Tran, Tuananh;Park, Joon Young
    • Industrial Engineering and Management Systems
    • /
    • v.14 no.4
    • /
    • pp.325-334
    • /
    • 2015
  • Nowadays, crowdsourcing has become a popular concept and is widely used in many social, economical and technological areas. For consumer product design, crowdsourcing is implemented extensively with many cases. Although there has been a lot of research on the application of crowdsourcing for product design, the big picture of how factors influence the participartion of individuals from the crowd in a crowdsourcing project for product design has not yet been understood. This paper aims to investigate the relationships of crowd participation and influencing factors including: process, product, and reward. To do this, we conducted a survey on a crowd of engineering individuals and analyzed the collected data with data mining techniques. Main findings include the relationships of crowd participation versus process, product, and reward factors as well as regression models to predict crowd participation.