PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ENM 508	SEQUENCING AND SCHEDULING IN MANUFACTURING	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Doctorate Degree
Course Type	Compulsory
Course Objective	The goal of this course is to explain “Sequencing and Scheduling” in detail, which is a part of “Production Palnning and Control” course and explain all mathematical approaches and algorithms used from determining the job routes to preparing job schedules. Moreover, students are expected to analyze scientific papers to learn up-to-date approaches used in sequencing.
Course Content	Sequencing and Programming, Optimality of Programs, Processing in Single Machine, Structural Algorithms for Flow Type and Order Type Workshops, Dynamic Programming Applications, Branch and Bound Algorithm, Sequencing Problem of Parallel Machines, Production Programming and Sequencing in Flow Type Workshops, Development of New Models and Solution Methods for Flow Type Workshop Problems, Heuristic Methods.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Students have information about the concepts of sequencing and scheduling, performance indicators.
2	Students gain the ability of defining and analyzing the problems for flow type and order type workshops.

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	3	4	4	2	2	3	2	4
LO 002	5	5	5	3	4	2	2	4	2	4
Sub Total	10	10	8	7	8	4	4	7	4	8
Contribution	5	5	4	4	4	2	2	4	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
Hours for off-the-classroom study (Pre-study, practice)	13	1	13
Assignments	5	4	20
Mid-terms	1	35	35
Final examination	1	45	45
Report / Project	1	40	40
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	HACER GÜNER GÖREN

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ENM 508	SEQUENCING AND SCHEDULING IN MANUFACTURING	3 + 0	1	Turkish	2020-2021 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. HACER GÜNER GÖREN	hgoren@pau.edu.tr		MUH A0457	%70

Goals		The goal of this course is to explain “Sequencing and Scheduling” in detail, which is a part of “Production Palnning and Control” course and explain all mathematical approaches and algorithms used from determining the job routes to preparing job schedules. Moreover, students are expected to analyze scientific papers to learn up-to-date approaches used in sequencing.
Content		Sequencing and Programming, Optimality of Programs, Processing in Single Machine, Structural Algorithms for Flow Type and Order Type Workshops, Dynamic Programming Applications, Branch and Bound Algorithm, Sequencing Problem of Parallel Machines, Production Programming and Sequencing in Flow Type Workshops, Development of New Models and Solution Methods for Flow Type Workshop Problems, Heuristic Methods.

Topics

Weeks	Topics
1	Introduction
2	Sequencing and Programming
3	Optimality of Programs
4	Processing in Single Machine
5	Structural Algorithms for Flow Type and Order Type Workshops
6	Dynamic Programming Applications
7	Branch and Bound Algorithm
8	Sequencing Problem of Parallel Machines
9	Exam
10	Production Programming and Sequencing in Flow Type Workshops
11	Development of New Models and Solution Methods for Flow Type Workshop Problems
12	Heuristic Methods
13	Heuristic Methods
14	Project Presentations

Materials

Materials are not specified.

Resources

Resources	Resources Language
Algorithms for Sequencing and Scheduling, İbrahim M. Alharkan, e-book.	English
Principles of Sequencing & Scheduling, Kenneth R. Baker, Dan Trietsch, 2009, John Wiley & Sons	English
Planning and Scheduling in Manufacturing and Services, Micheal L. Pinedo, 2005, Springer	English

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