Chemical Engineering Department ChE 460 Total Quality Engineering in Chemical Industries Spring 2014 Elective course, 3 (3+1+0) credits. Catalogue Description: Introduction to quality management: fundamentals, historical background, technical and behavioral dimensions. Quality in design and development: conceptual and technical design, planning and integrating product and process design using Quality Function Deployments, robust product and process design using Taguchi Method. Quality assurance standards for design and production: ISO 9000 quality assurance systems, ISO 14000 environmental management systems, as applied in chemical engineering practice. Prerequisites: 4th year standing Class schedule: T 10:00-11:50 (KB 433), W 13:00-14:50 (KB 428) Instructor: Ramazan Yildirim, Professor x-7248 E-mail: yildirra @boun.edu.tr Web: http://www.che.boun.edu.tr/che_faculty/yildirim Office hours: M 14:00-15:00 Teaching Assistants: Merve Eropak – KB 411/A [email protected] Textbook and other required material: No textbook; handout will be given References: 1. Phadke, M.S., “Quality Engineering Using Robust Design”, Prentice Hall, 1989. 2. All books about TQM, QFD, Statistical process control and Taguchi method will help Topics covered 1. 2. 3. 4. 5. 6. Introduction, key concepts, historical background, fundamental principles and models… Quality Tools and Processes, Strategic planning, problem solving, continuous improvement, seven quality tools, quality cost… Quality in design, development and production Quality Function Deployment (QFD) Robust design using Taguchi method, Statistical process control (SPC) Contribution of course to meeting the requirement of criterion 5: Engineering science (50%), engineering design (50%), Course Learning Outcomes: 1. 2. 3. 4. Introduce the fundamentals, techniques and models of total quality management Develop an understanding of quality issues in product and process design, and show the implementation of Quality Function Deployment in product design. Discuss the application of Taguchi method in product and process design or improvement. Discuss the use of statistical process control in production. Relationship of course to student outcomes Student Outcomes (a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability, (d) an ability to function on multi-disciplinary teams (e) an ability to identify, formulate, and solve engineering problems (f) an understanding of professional, ethical and social responsibility (g) an ability to communicate effectively (h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental and societal context (i) a recognition of the need for, and an ability to engage in life-long learning (j) a knowledge of contemporary issues (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice (l) an ability to implement the engineering background to other related areas (m) an ability to adapt to the continuously changing economical, social and technological environments 1 x Course learning outcomes 2 3 4 x x x x x x x x x x x x x x Contribution of Course Learning Outcomes to Program Educational Objectives Program Educational Objectives 1. 2. 3. Our graduates will contribute to the chemical and biochemical industries by playing key roles in designing, developing, operating, and maintaining chemical and biochemical engineering processes and tools. Our graduates will pursue graduate studies in leading academic institutions and will participate in chemical engineering research at the international level. Our graduates will engage in life-long learning and will be ready to cope with competitive and rapidly changing industrial and academic environments. Course learning Outcomes 1 2 x x x 3 x x x x x Grading: Attendance : Homeworks and projects: Final : TOTAL 10 % 50 % 40 % 100 % Notes: Minimum 50% attendance is required to pass. Less than 70% will result 0.5/4.0 reduction from the letter grade. Failing to return any homework and project will not only affect the score but also result in reduction of letter grade. Academic Honesty: Students are bounded by academic honesty. Cheating is a violation of academic honesty. The result is failing. Prepared by Prof. Ramazan Yıldırım Date: February 2014