Undergraduate
Faculty of Engineering and Architecture
Industrial Engineering
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Work Study

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IE0407 Work Study 3/0/0 DE English 6
Course Goals
Work Study is basically a set of tools and techniques which are fundamental to industrial engineering. Work process is an abstract structure, and Work Study tools (e.g. process charts, flow diagrams) should be used for concretely displaying the processes. Work Study techniques allow for effective process analysis and improvement for better performance. In this course, the students will learn to analyze and improve work processes using Work Study tools & techniques.

Standard time of a process is a key data for production and service management and planning. This course will cover standard time calculation methods.

The traditional Work Study concepts mostly focus on manufacturing. However, service industry has gained utmost importance and industrial engineers should learn to apply their knowledge in service industry as well. To that end, this course will cover modern process display & analysis tools used in modern service industry.

The course will be application-oriented and student-centered. The students will apply Work Study tools & techniques through several class activities, home works and term project.
Prerequisite(s) None
Corequisite(s) None
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Professor Fadime Üney-Yüksektepe
Course Assistant(s)
Schedule The course is not offered this semester.
Office Hour(s) The course is not offered this semester.
Teaching Methods and Techniques Lecture, discussion, application, problem solving.
Principle Sources Mikell P.Groover, Work Systems: the methods, Measurement & Management of Work, Pearson (2007)
Other Sources George Kanatwy, Introduction to Work Study, International Labour Office, Geneva, (1992) 

Andris Freivalds, Benjamin Niebel, Niebel’s Methods, Standards, & Work Design, Mcgraw Hill, 13th Ed. (2013)

James A. Fitzsimmons, Mona J. Fitzsimmons, Sanjeev K. Bordoloi, Service Management, Mcgraw Hill, 8th Edition, (2014)

Course notes

Scientific papers, case studies, online resources 
Course Schedules
Week Contents Learning Methods
1. Week Course overview, introduction to Work Systems lecture, discussion
2. Week Manual work and worker-machine systems lecture, application
3. Week Work flow and batch processing lecture, discussion
4. Week Manual Assembly Lines lecture, application
5. Week Methods Engineering and Operations Analysis lecture, discussion
6. Week Charting and Diagramming Techniques for Operations Analysis lecture, application
7. Week Midterm Exam
8. Week Motion Study and Work Design lecture, discussion
9. Week Introduction to Work Measurement lecture, discussion
10. Week Direct Time Study lecture, application
11. Week Predetermined Motion Time Systems lecture, discussion
12. Week Standard Data Systems lecture, application
13. Week Work Sampling lecture, application
14. Week Project Presentations presentation
15. Week Final Exam
16. Week Final Exam
17. Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Quizzes 5 20
Homework / Term Projects / Presentations 1 20
Final Exam 1 30


Program Outcomes
PO-1Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1Explain the content of work study, explain the importance of work study for Industrial Engineering
LO-2Define methods analysis, explain the tools & techniques of methods analysis and how to use these tools, give examples to the ways of improving the work processes, explains the effect of ergonomics in process improvement.
LO-3Define work measurement, apply time study to a process and explain the calculation of standard time using time study.
LO-4Explain calculation of standard time using work sampling and predetermined time standards.
LO-5Explain the fundamentals of manual assembly lines, and explains how to apply basic algorithmic solution approaches for single model asembly line balancing problems. .
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5