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Code IE 471
Term 201701
Title Supply Chain Practice
Faculty Faculty of Engineering and Natural Sciences
Subject Industrial Engineering(IE)
SU Credit 3
ECTS Credit 5.00 / 5.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Instructor(s) Murat Kaya -mkaya@sabanciuniv.edu,
Language of Instruction English
Level of Course Undergraduate
Type of Course Click here to view.
Prerequisites
(only for SU students)
IE401 MS401
Mode of Delivery Formal lecture,Interactive lecture,Seminar,Field work/field study/on-the-job
Planned Learning Activities Interactive,Discussion based learning,Case Study
Content

This course aims to relate students? existing theoretical knowledge on supply (and demand) chain management with realities of business practice. To this end, the course is conducted in collaboration with a partner company. Topics include sales & operations planning, demand forecasting, inventory management, procurement, manufacturing, warehousing, distribution, sales channel

Objective

This course aims to relate students' existing theoretical knowledge on supply (and demand) chain management with realities of business practice. To this end, the course is conducted in collaboration with a partner company. For each topic,
- Students are assigned preliminary questions that may require reading assigned resources and/or web research.
- The instructor leads a discussion on related theoretical /analytical background.
- Managers present related processes in their company and engage in discussions with students.
- The goal is to use company examples to emphasize the processes, decision problems and analytical approaches relevant for all supply chains.

Learning Outcome

Discuss the fundamental problems observed in real-world supply chains (such as the bullwhip effect), and evaluate potential solutions.
Explain the Sales and Operations Planning (S&OP) process.
Develop appropriate demand forecasting and inventory management models.
Assess the material and information flow in real life supply chains.
Discuss the fundamental trade-offs in warehousing and distribution logistics.
Describe the procurement process and associated risks.
Assess the efficiency of retailing operations and discuss their relation with supply logistics.

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. 4
2 Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4
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
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. 3
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. 3
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. 4
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. 4
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
Molecular Biology, Genetics and Bioengineering Program Outcomes Area Electives
1 Comprehend key concepts in biology and physiology, with emphasis on molecular genetics, biochemistry and molecular and cell biology as well as advanced mathematics and statistics. 1
2 Develop conceptual background for interfacing of biology with engineering for a professional awareness of contemporary biological research questions and the experimental and theoretical methods used to address them. 1
Industrial Engineering Program Outcomes Area Electives
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. 4
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
Assessment Methods and Criteria
  Percentage (%)
Midterm 48
Exam 20
Assignment 16
Participation 16
Recommended or Required Reading
Textbook

Chopra, S., Meindl, P., Supply Chain Management: Strategy, Planning and Operation 5th global edition, Pearson. 2013.

Readings

Supplemental reading material to be announced in class, including a number of Harvard Business School (HBS) cases. These should be purchased from the HBS publishing website http://www.hbsp.harvard.edu/hbsp/case_studies.jsp