Course Archives    Theoretical Statistics and Mathematics Unit

Course: Foundations of Industrial Engineering Level: Postgraduate Time: Currently not offered

Syllabus Past Exams Syllabus 1. Basic Concepts (10) Definition of process; objectives, need, and elements of industrial engineering. Overview of engineering processes in different sectors such as mechanical, chemical, and pharma process etc. Engineering Specifications with measurements and units with different examples. 2. Work System Design (12) Definition of Productivity, Productivity concepts, Manual work systems, Workermachine systems, Automated work systems, Cycle time analysis of Manual work and in worker machine systems (including numerical), Service operations, Office work, ILO recommendations for productivity measurement of semi & fully automated systems. Human aspects in Engineering process: Definition, objective, and scope of work study. Work study and management, work-study and supervision, work study and worker. 3. Methods for Work Performance Measurements (20) Methods and Process Analysis: Basic overview, Techniques of methods engineering, Basic data collection and analysis techniques - Network diagrams, Traditional charting and Diagramming techniques, Block diagrams and Process maps. Motion study and Work design: Basic motion elements and work analysis, Principles of motion economy and work design. Work measurement & time study: Work measurement & its techniques, Time study: procedure, Determination of number of work cycle to be timed, Performance rating, time study equipment, Overview of PMTS, MTM, and MOST techniques. Case examples and exercises. 4. Process & Product Quality Understanding and Improvement: (8) Quality problems & their types, Problem solving approach from the quality viewpoint: mindset, quality first, consumer orientation; PDCA cycle, Process control, dispersion control, recurrence prevention, standardization; Benefits of problem-solving approaches. Case examples and exercises. Reference Texts: 1. Groover, M. P. (2017). Work systems: The methods, measurement, and management of work. Pearson India Education. 2. Kanawaty, G. (1992). Introduction to work study (4th rev. ed.). International Labour Office 3. Meyers, F. E., & Stewart, J. R. (2002). Motion and time study for lean manufacturing (3rd ed.). Prentice Hall. 4. Niebel, B. W., & Freivalds, A. (2014). Niebel’s methods, standards, and work design (13th ed.). McGraw-Hill Education. 5. Ott, E. R., Schilling, E. G., & Neubauer, D. V. (2005). Process quality control: Troubleshooting and interpretation of data (4th ed.). ASQ Quality Press. 6. Society of Manufacturing Engineers. (1988). Troubleshooting manufacturing processes. SME, Michigan, USA. 7. Kume, H. (1987). Statistical methods for quality improvement. Productivity Press. 8. Ryan, T. P. (2000). Statistical methods for quality improvement. John Wiley & Sons. 9. Hart, R. F., & Hart, M. K. (1989). Quantitative methods for quality and productivity improvement. ASQ Quality Press. 10. Gitlow, H. S., Oppenheim, A. J., Oppenheim, R. D., & Gitlow, S. J. (1989). Tools and methods for the improvement of quality. Irwin Inc. 11. Chase, R. B., Jacobs, F. R., & Aquilano, N. J. (2006). Operations management for competitive advantage. McGraw-Hill/Irwin. Top of the page Past Exams

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