Supply Chain Management

Course Code:

ISE 362

Course Period:

Spring

Course Type:

Core

Credits:

4

Theoric:

3

Practice:

0

Laboratory Hour:

2

ECTS:

7

Prerequisite Courses:

Operations Research I

Statistical Applications for Industrial Engineers

Production Systems Design

Course Language:

English

Courses given by:

Linet Özdamar

Course Objectives:

This course is aims to enable students to develop supply chain engineering concepts, strategies and techniques and acquire the necessary technological and theoretical foundation.

Course Content:

Introduction to supply chains. Flexible models in aggregate planning, optimization and heuristics. Continuous and periodic review models, optimizing inventory model parameters, simulation. Distribution resource planning, lot sizing techniques, Material requirements planning. Supply chain network design, supplier selection models, ERP software.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Laboratory work

Course Evaluation Methods:

A: Written exam, E: Homework, I: Lab quiz

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
1) By acquiring information on the classification of stock models, the student can analyze a company's business process. After analysis, the student can manage finished product, intermediate stock, or raw material stock models. The student can then select the appropriate inventory model from the models available in the literature.	2a,2b	1,2,3,4	A,E, I
2)Model parameters can be optimized using existing mathematical formulae or by using the simulation method.	1b	1,2,3,4	A,E, I
3)The student can improve a manufacturer's medium-term production plan by taking into account constraints such as production capacity, distribution capacity, demand seasonality	1b, 2a,4b	1,2,3,4	A,E, I
4)The student can develop a company's supply chain network design and solve a mathematical model for the expansion of the existing network.	1b, 2a,2b, 4b	1,2,3,4	A
5)The student can prepare a mathematical model for supplier selection in accordance with the company performance criteria and measure supplier performance.	2a, 4b	1,2,3,4	A,E, I

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1-2	Supply Chains Introduction	Textbook, Notes
3-4	Aggregate planning	Textbook, Notes
5-7	Inventory management	Textbook, Notes
8	DRP and Lot sizing	Textbook, Notes
9	MRP	Textbook, Notes
10	Midterm
11-13	Supply chain network design and optimization	Textbook, Notes
14	Supplier selection methods	Textbook, Notes

Recommended Sources

RECOMMENDED SOURCES
Textbook	A. Ravi Ravindran; Donald Warsing, Jr., Supply Chain Engineering, CRC Press, 2013.
Additional Resources	Moodle, Google Classroom: lecture notes, other files

Material Sharing

MATERIAL SHARING
Documents	Lecture notes
Assignments	1 homework
Exams	1 midterm, 1 final, 3 lab quizzes

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Mid-terms	1	20
Lab quizzes & homework	4	50
Total		70
Contribution of Final Examination to Overall Grade		30
Contribution of In-term Studies to Overall Grade		70
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check X
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	X
2a	Ability to identify, formulate, and solve complex engineering problems,	X
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	X
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,
3b	Ability to apply modern design methods for this purpose.
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.
4b	Ability to employ information technologies effectively.	X
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.
7a	Ability to communicate effectively both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Excluding the exam weeks: 14x Total course hours)	14	5	70
Hours for off-the-classroom study (Pre-study, practice)	14	7	98
Homework	1	2	2
Final examination	1	2	2
Total Workload			172
Total Workload / 25 (h)			6.88
ECTS Credit of the Course			7

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