Industrial Engineering

Production Management(IND438)

Content
Course Code Course Name Semester Theory Practice Lab Credit ECTS
IND438 Production Management 7 3 0 0 3 5
Prerequisites
Admission Requirements
Language of Instruction French
Course Type Compulsory
Course Level Bachelor Degree
Course Instructor(s) Müjde GENEVOIS merol@gsu.edu.tr (Email) Elif DOĞU edogu@gsu.edu.tr (Email) Michele CEDOLİN mcedolin@gsu.edu.tr (Email)
Assistant
Objective The aim of this course is to present the concepts used in effective management of production systems and to learn how to develop solutions for problems related to the operations management.
Content Week 1.: Presentation in chronological order techniques and nomenclature used in operations management.
Week 2.: Supply chain strategy, supply chain performance measurement, bullwhip effect, outsourcing, mass customization.
Week 3.: Strategic capacity management, capacity utilization, economies of scale, learning curve.
Week 4.: Lean production, Toyota Production System.
Week 5.: Demand management, qualitative forecasting methods, quantitative forecasting methods.
Week 6.: Aggregate sales and operations planning
Week 7.: Inventory control, inventory costs, inventory models
Week 8.: Materials requirements planning, Push and Pull systems, Manufacturing Resource Planning.
Week 9.: Midterm exam
Week 10.: Process analysis, process flowcharting, process performance measurement.
Week 11.: Manufacturing process selection and design.
Week 12.: Service process selection and design.
Week 13.: Quality management, Total Quality Management, Six Sigma Quality, Benchmarking, ISO standards, service quality measurement.
Week 14.: Product design, product development process, quality function deployment.
Course Learning Outcomes This course will provide to;
1. Learn how operations management evolved and understand the causes of this evolution.
2. Know the current issues of production systems and learn how to analyze and design production systems with the help of cases.
3. Be able to formulate solutions to problems related to production systems.
4. Have the expertise and ability to use operations management methods and techniques.
Teaching and Learning Methods Lecture, discussion, case study.
References • Kobu, B., Üretim Yönetimi, Beta Basım A.Ş., 13. Baskı, 2006.
• Chase, R.B., Jacobs, F.R., Aquilano, N.J., Operations Management for Competitive Advantage, McGraw-Hill, 11. Baskı, 2006.
• Cases related to the topics
Print the course contents
Weekly Contents
Theory Topics
Week Weekly Contents
1 Presentation in chronological order techniques and nomenclature used in operations management
2 Supply chain strategy, supply chain performance measurement, bullwhip effect, outsourcing, mass customization
3 Strategic capacity management, capacity utilization, economies of scale, learning curve
4 Lean production, Toyota Production System
5 Demand management, qualitative forecasting methods, quantitative forecasting methods
6 Aggregate sales and operations planning
7 Inventory control, inventory costs, inventory models
8 Materials requirements planning, Push and Pull systems, Manufacturing Resource Planning
9 Midterm exam
10 Process analysis, process flowcharting, process performance measurement
11 Manufacturing process selection and design
12 Service process selection and design
13 Quality management, Total Quality Management, Six Sigma Quality, Benchmarking, ISO standards, service quality measurement
14 Product design, product development process, quality function deployment
Practice Topics
Week Weekly Contents
Assessment System
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 1 50
Contribution of final exam to overall grade 1 50
Toplam 2 100
In-Term Studies
  Number Contribution
Assignments 0 0
Presentation 0 0
Midterm Examinations (including preparation) 1 50
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 0 0
Term Paper/ Project 0 0
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 1 50
Relation of Proficiency
No Program Learning Outcomes Contribution
1 2 3 4 5
1 Knowledge and understanding of a wide range of basic sciences (math, physics, ...) and the main concepts of engineering X
2 Ability to combine the knowledge and skills to solve engineering problems and provide reliable solutions X
3 Ability to select and apply methods of analysis and modeling to ask, reformulate and solve the complex problems of industrial engineering X
4 Ability to conceptualize complex systems, processes or products under practical constraints to improve their performance, ability to use innovative methods of design X
5 Ability to design, select and apply methods and tools needed to solve problems related to the practice of industrial engineering, ability to use computer technology X
6 Ability to design experiments, collect and interpret data and analyze results X
7 Ability to work independently, ability to participate in working groups and have a multidisciplinary team spirit X
8 Ability to communicate effectively, ability to speak at least two foreign languages X
9 Awareness of the need for continuous improvement of lifelong learning, ability to keep abreast of scientific and technological developments to use the tools of information management X
10 Awareness of professional and ethical responsibility X
11 Knowledge of the concepts of professional life as "project management", "risk management" and "management of change" X
12 Knowledge on entrepreneurship, innovation and sustainability X
13 Understanding of the effects of Industrial Engineering applications on global and social health, environment and safety. X
14 Knowledge of the problems of contemporary society X
15 Knowledge of the legal implications of the practice of industrial engineering X
ECTS
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 14 5 70
Midterm Examinations (including preparation) 1 15 15
Final Examinations (including preparation) 1 17 17
Total Workload 144
Total Workload / 25 5.76
Credits ECTS 6
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