DECISION SUPPORT SYSTEMS IN LOGISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ILT394	DECISION SUPPORT SYSTEMS IN LOGISTICS	8	3	3	8

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. KADİR MERSİN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to teach the methods that support decision-making processes in logistics and supply chain management; to develop students' problem-solving and model development skills by introducing decision-making under certainty, uncertainty and risk, qualitative and quantitative analysis techniques, inventory control models, regression, optimization, decision trees and multi-criteria decision-making methods.
Contents of the Course Unit:	This course covers methods and techniques that support decision-making processes in logistics and supply chain management. The course covers qualitative and quantitative decision-making techniques, decision-making approaches under certainty, uncertainty, and risk, decision trees, break-even analysis, regression-based demand forecasting, optimization using graphical analysis, ABC analysis in inventory management, and economic order quantity models. Multi-criteria decision-making methods will also be examined and their relationship to applications in logistics will be explored.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Explain the basic concepts and principles of decision-making processes.
Differentiate between decision-making under certainty, uncertainty, and risk.
Apply qualitative and quantitative decision-making techniques to practical cases.
Construct and interpret decision trees and perform break-even analyses.
Use linear regression and graphical methods for decision analysis.
Develop solutions to logistics and management problems using multi-criteria decision-making (MCDM) methods.
Evaluate alternative decisions based on performance, cost, and risk factors.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading	Introduction to Decision Making	Lecture, Q&A
2	Reading	Qualitative Decision-Making Techniques I	Lecture, Q&A
3	Reading	Qualitative Decision-Making Techniques II	Lecture, Q&A
4	Reading	Decision Making under Certainty	Lecture, Q&A
5	Reading	Decision Making under Uncertainty	Lecture, Q&A
6	Reading	Decision Making under Risk	Lecture, Q&A
7	Reading	Decision Tree and Break-Even Point Analysis	Lecture, Q&A
8	Reading	Linear Regression	Lecture, Q&A
9	Reading	Graphical Analysis Techniques	Lecture, Q&A
10	-	MID-TERM EXAM	-
11	Reading	Decision Models in Inventory Management	Lecture, Q&A
12	Reading	Multi-Criteria Decision-Making (MCDM) Methods I	Lecture, Q&A
13	Reading	Logistics Case Studies with MCDM Methods	Lecture, Q&A
14	Reading	General Review	Lecture, Q&A
15	Reading	General Review	Lecture, Q&A
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To explain the basic concepts and theories associated with the field of Logistics Management						5

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To relate concepts and cases in the field of Logistics Management with other fields in Social Sciences					4
2	To make scientific and interdisciplinary research about the cases in the field					4

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To draw conceptual and theoretical connections between past and present trade and logistics – transportation procedures and to make forecasts for the future.					4

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To make literature review for analyzing cases in the field of Logistics Management and to use this information for personal studies.				3
2	To use the latest technology for making descriptive and exploratory research and to use this information for personal studies.					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To conduct a field-specific study individually and to complete it with discipline and responsibility.				3
2	To assume duties and responsibilities in a team work as leader or team member and to fulfil them flawlessly.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To analyze data and findings in the field of Logistics Management with respect to cause-effect relations and critical perspective.				3
2	To identify gaps in the theory and practice of Logistics Management and to offer solutions for each.						5
3	To develop ideas as to how to use the information related to the field of Logistics Management in professional life.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To convey information related with the field of Logistics Management by using effective presentation and communication techniques.					4
2	To use field-specific information for creation of various projects, activities and social responsibility programmes in the field of Logistics Management.				3
3	To conduct literature review, follow the recent developments and produce written and oral works in a foreign language.				3

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To respect social, cultural, scientific and ethical norms and values in the processing and dissemination of data.						5
2	To follow latest developments in the field and direct personal studies accordingly within the framework of the lifelong learning principle.					4

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	5	65
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	6	10	60
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	4	9	36
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	39	0	205