Page 71 - Academic Handbook FKM 2017-2018

3.0 REFERENCES a. Krajewski, L.J., Ritzman, L.P., & Malhotra, M.K.,
a. Thompson, R., 2011, Prototyping and Low- 2007, Opeartion Management: Process and
Volume Production: The Manufacturing Guides, Value Chains, Prentice Hall.
Thames and Hudson. b. Smith, D.J., 2011, Reliability, Maintainability
b. Bartolo, P.J., 2011, Stereolithography: and Risk, Elsevier Ltd.
Material, Processes and Applications, Springer. c. Ebeling, C.E., 2010, An Introduction to
c. Gibson, I., Rosen, D.W., & Stucker B., 2009, Reliability and Maintainability Engineering, The
Additive Manufacturing Technologies: Rapid McGraw-Hill Companies, INC.
Prototyping to Direct Digital Manufacturing,
Springer.
BMCG 4343 DESIGN OPTIMIZATION
LEARNING OUTCOMES
BMCG 4333 DESIGN QUALITY AND RELIABILITY At the end of this course, students should be able to:
LEARNING OUTCOMES LO1 Understand and formulate of optimization
At the end of this course, students should be able to: problems in engineering design.
LO1 Apply technique of benchmarking, quality LO2 Analyze design constraint and variables to
function deployment and design of solve optimization problem.
experiment to improve product quality for LO3 Apply an engineering package to optimize
customer’s satisfaction. the design. Modern Tool Usage.
LO2 Develops mathematical models useful in LO4 Explore optimization cases in industry.
analyzing components and system reliability SYNOPSIS
as well as develop the common failure laws This course covers Mathematical modeling of
based upon its distributions to predict engineering design problems for optimization.
reliability. Boundedness and monotonicity analysis of models.
LO3 Demonstrate the ability of quality and Differential optimization theory for unconstrained
reliability methodology in developing and constrained problems, and selected numerical
products in a technical setting. algorithms for continuous nonlinear models. Emphasis
SYNOPSIS on the interaction between proper modeling and
This course introduces essential techniques in quality computation. Students propose design term projects
and reliability issues in design. The students will be from various disciplines and apply course
exposed to the Total Quality Management concept, methodology to optimize designs.
application of quality function deployment, design REFERENCES
of experiment (Taguchi method) for product and a. Papalambros, P.Y., and Wilde, D.J., 2000,
process design. It also covers topics such as product Principles of Optimal Design: Modelling and
reliability, application of fault tree analysis, failure Computation, Cambridge University Press.
distribution method and reliability prediction b. Arora, J., 2011, Introduction to Optimum
analysis. Design (Third Edition), Academic Press.
REFERENCES c. Venkataraman, P., 2009, Applied
Optimization with MATLAB Programming (2nd

61