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Code IE 403
Term 201602
Title Quality Planning and Control
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Zeynep Didem Demir ddemir@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
MATH306
Mode of Delivery Formal lecture,Interactive lecture,Recitation
Content

Introduction to total quality management philosophies and ISO 9000 standards; design and analysis of statistical process control systems; control charts; acceptance sampling techniques; reliability testing; evaluation of the source of variation; design of experiments; failure mode, effect, and criticality analysis; quality function deployment; quality by design and introduction to Taguchi approach.

Objective

Refer to the course content.

Learning Outcome

Discuss definition of quality with respect to different measures and business type, and the role of quality and quality improvement in an organization.

Describe the value of descriptive statistics an analysis of variation in the context of statistical process control.
Describe the differences between types of quality characteristics in association with the type of business environment and goals.
Define the critical-to-quality characteristics in a process
Identify the type of SPC techniques based on the type of the process and the characteristics.
Construct the correct type of control chart, interpret the results on control charts
Identify the performance of control charts with respect to different measure based on statistical analysis for a given process and a set of quality characteristics.
Determine the capability of an in-control process with respect to different generations of process capability measures.
Isolate the components of variation by distinguishing the variability caused by the measurement system
Assess the capability and appropriateness of the system with respect to standardized performance measures.
Describe the use acceptance sampling techniques in off-line quality control
Determine the correct type of sampling method based on the process/product type.

Programme Outcomes
 
Common Outcomes For All Programs
1 Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
3 Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 2
4 Communicate effectively in Turkish and English by oral, written, graphical and technological means. 2
5 Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 2
1 Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems.
2 Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose.
3 Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively.
4 Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose.
5 Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas.
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development.
7 Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility.
1 Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics.
2 Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy.
3 Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools.
1 Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools.
2 Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems.
3 Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa.
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components.
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers.
Assessment Methods and Criteria
  Percentage (%)
Final 40
Midterm 50
Other 10
Recommended or Required Reading
Textbook

Montgomery, D.C., Introduction to Statistical Quality Control, 5th Edition, John Wiley & Sons. ISBN 978-0-470-16992 or 6 978-0-470-233979 (International Student Version).