Production and Service Systems Operations (IE 401)

2020 Spring
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Emre Özlü,
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IE301 IE311 MS301
Formal lecture,Recitation
Discussion based learning,Task based learning
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Mathematical and computer methods for planning and control in production and distribution systems; overview of supply chain management; forecasting; aggregate production planning; inventory replenishment policies; lot sizing; material and capacity requirements planning; master production and operations scheduling; service operations.


Prepare students for manufacturing practice and/or research through an advanced treatment of concepts and methods for manufacturing planning and control.


Describe the major steps in the manufacturing planning and control (MPC) hierarchy (including APP, MPS and MRP), and their relationships
Develop demand forecasting models using time series methods
Apply the fundamental inventory management models (including the EOQ, newsvendor, (Q,R) and (s,S) models) to relevant problems
Relate industrial engineering and operations research methods obtained in previous courses to production planning and control domain
Formulate and solve production planning problems


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 2

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 2

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 3

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 3

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 3

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 4

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 4

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 2

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 2

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 3

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2

1. Formulate and analyze problems in complex manufacturing and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, stochastics, statistics. 5

2. Design and develop appropriate analytical solution strategies for problems in integrated production and service systems involving human capital, materials, information, equipment, and energy. 5

3. Implement solution strategies on a computer platform for decision-support purposes by employing effective computational and experimental tools. 2

1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1


  Percentage (%)
Final 40
Midterm 60



Nahmias S. and Lennon Olsen, T., Production and Operations Analysis, 7th edition, Waveland Press.

Nahmias, S., Production and Operations Analysis, 5th or 6th edition, McGraw-Hill.