PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ENM 550	INDUSTRIAL OPTIMIZATION	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of the lecture is to intervene students to apply methods that they have learnt in operation research and optimization courses for the solution of industrial scale problems in real world.
Course Content	The OPL software structure, The OPL software command syntax, assignment problems and industrial applications, scheduling problems and industrial applications, location selection problems and industrial applications, vehicle routing problems and industrial applications, assembly line balancing problems and industrial applications, supply chain design problems and industrial applications, transportation problems and industrial applications
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Modeling of large-scale industrial problems
2	Learning the OPL software structure and command syntax
3	Solving industrial case studies
4	Analysis and interpretations of the results obtained

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10
LO 001	5	5	4	2	4	2	1	1	1	3
LO 002	3	5	2	5	3	1	2	1	1	3
LO 003	3	5	5	4	3	1	1	2	2	5
LO 004	3	4	3	5	5	2	3	1	2	5
Sub Total	14	19	14	16	15	6	7	5	6	16
Contribution	4	5	4	4	4	2	2	1	2	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Assignments	4	5	20
Mid-terms	1	60	60
Final examination	1	73	73
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
ENM 550	INDUSTRIAL OPTIMIZATION	3 + 0	1	Turkish	2020-2021 Spring	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Prof. Dr. OLCAY POLAT	opolat@pau.edu.tr		MUH A0450 MUH A0457	%60

Goals		The aim of the lecture is to intervene students to apply methods that they have learnt in operation research and optimization courses for the solution of industrial scale problems in real world.
Content		The OPL software structure, The OPL software command syntax, assignment problems and industrial applications, scheduling problems and industrial applications, location selection problems and industrial applications, vehicle routing problems and industrial applications, assembly line balancing problems and industrial applications, supply chain design problems and industrial applications, transportation problems and industrial applications

Topics

Weeks	Topics
1	ILOG
2	ILOG
3	ILOG
4	Assignment problems and industrial applications
5	Scheduling problems and industrial applications
6	Location selection problems and industrial applications
7	Mid-Term Examination
8	Vehicle routing problems and industrial applications
9	Assembly line balancing problems and industrial applications
10	Supply chain design problems and industrial applications
11	Transportation problems and industrial applications
12	Article Analyze
13	Student Projects
14	Student Projects

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student