IE426 TOPICS IN PRODUCTION MANAGEMENT

Course Code:5680426
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:5.0
Department:Industrial Engineering
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. SİNAN GÜREL
Offered Semester:Fall or Spring Semesters.

Course Objectives

  • At the end of the course, the students will
  • Become familiar with the basic concepts in the design, planning and analysis of manufacturing systems.
  • Acquire the skills to formulate and solve the problems that are pertinent to automated manufacturing systems.
  • Become familiar with the management technologies used in automated manufacturing systems

 


Course Content

Production line design. Just-in-time(JIT) production systems. Optimized production technology (OPT). Flexible manufacturing systems (FMS). Cellular Manufacturing Systems


Course Learning Outcomes

  • Identify the differences between
  • Different manufacturing systems
  • Define a layout type for each manufacturing system
  • Define appropriate performance measures
  • Develop mathematical models for manufacturing problems
  • Solve the models using appropriate solution methods
  • Identify the main ideas used in management technologies
  • Evaluate the appropriateness of the selected management technologies

Program Outcomes Matrix

Contribution
#Program OutcomesNoYes
1An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3An ability to communicate effectively with a range of audiences
4An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7An ability to acquire and apply new knowledge as needed, using appropriate learning strategies
8An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner
9An ability to apply critical reason and systems thinking in problem solving and systems design
10An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice