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Code ENS 208
Term 201602
Title Introduction to Industrial Engineering
Faculty Faculty of Engineering and Natural Sciences
Subject Engineering Sciences(ENS)
SU Credit 3
ECTS Credit 6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Bulent Catay catay@sabanciuniv.edu,
Detailed Syllabus
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
--
Mode of Delivery Formal lecture,Recitation
Planned Learning Activities Learner centered,Communicative,Task based learning
Content

An overview of design, analysis and control of production and service operations; systems analysis of various functions within the enterprise; system dynamics analysis of complex interactions among different entities; fundamental industrial engineering tools and techniques for decision making at strategic, tactical and operational levels.

Objective

The objective of the course is to introduce the students to the basic concepts in production and operations planning as well as linear programming and to the analytical methods used to support several functions in production management. At the end of this course, the students are expected to acquire a fundamental knowledge on forecasting techniques, aggregate production planning, linear programming and sensitivity analysis, inventory control, operations scheduling, assembly line balancing, and project scheduling.

Learning Outcome

- Be familiarized with and utilize the most important methods for forecasting the demand
- Develop aggregate production plans
- Model and solve linear programming problems, use graphical solution technique, and perform sensitivity analysis
- Model and solve transportation, assignment, fixed-charged, and knapsack type of problems
- Be familiarized with basic concepts in deterministic inventory management and control individual item inventories
- Gain an understanding of the key methods for shop scheduling and assembly line balancing
- Utilize mathematical and graphical techniques for project scheduling

Programme Outcomes
 
Common Outcomes For All Programs
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. 1
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 1
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. 2
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
Common Outcomes ForFaculty of Eng. & Natural Sci.
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. 3
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. 2
6 Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 4
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
Common Outcomes ForSchool of Management
1 Demonstrate an understanding of economics, and main functional areas of management. 1
2 Assess the impact of the economic, social, and political environment from a global, national and regional level. 1
Industrial Engineering Program Outcomes Required Courses
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. 3
Electronics Engineering Program Outcomes Area Electives
1 Use mathematics (including derivative and integral calculations, probability and statistics), basic sciences, computer and programming, and electronics engineering knowledge to design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. 1
2 Analyze and design communication networks and systems, signal processing algorithms or software using advanced knowledge on differential equations, linear algebra, complex variables and discrete mathematics. 1
Materials Science and Nano Engineering Program Outcomes Area Electives
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
Computer Science and Engineering Program Outcomes Area Electives
1 Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 1
2 Demonstrate knowledge of discrete mathematics and data structures. 1
3 Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 1
Mechatronics Engineering Program Outcomes Area Electives
1 Familiarity with concepts in statistics and optimization, knowledge in basic differential and integral calculus, linear algebra, differential equations, complex variables, multi-variable calculus, as well as physics and computer science, and ability to use this knowledge in modeling, design and analysis of complex dynamical systems containing hardware and software components. 1
2 Ability to work in design, implementation and integration of engineering applications, such as electronic, mechanical, electromechanical, control and computer systems that contain software and hardware components, including sensors, actuators and controllers. 1
Assessment Methods and Criteria
  Percentage (%)
Final 40
Midterm 60
Recommended or Required Reading
Textbook

Production and Operations Analysis. S. Nahmias, Irwin/McGraw-Hill.

*** The book is on 1-day reserve collection at the Information Center; however, you are strongly recommended to acquire the book as it will also be utilized in IE 401 and it is a good reference book for several other IE-coded courses. ***

Course Web SUCourse