ECONOMICS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
LOG4436	Inventory and Warehouse Management	Spring	3	0	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Prof. Dr. YAVUZ GÜNALAY
Recommended Optional Program Components:	None
Course Objectives:	Students learn to analytically solve problems and make decision considering forecasting, inventory planning and service levels, profitability, product range, supply chain dynamics, facility location, distribution, and routing.

Learning Outcomes

The students who have succeeded in this course;
The course provides an integrated methodology for strategy based inventory and product management in supply chains.

Course Content

Course introduction, Measures in logistics, ABCD analysis, Activity based costing, Du Pont -model, Turnover, Modeling in logistics, Trend adjustment: Holt’s method, Trend and seasonal variation adjustment: Winter’s model, optimizing the parameters for the above methods, Stochastic demand, Safety stocks, Single products with time-variable demand, dynamic programming, Wagner-Whitin method, Silver-Meal heuristics, Time supply, Lot- forlot, Least unit cost, Part-period balancing, Heuristics, Yield Management – stochastic demand, Bullwhip effect, Deterministic demand, Probabilistic demand, Arborescent system, Supply chain contracts, Distribution requirements planning, Multioperiod production planning, Repair crew planning.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Course introduction, Measures in logistics, ABCD analysis
2)	Activity based costing
3)	Du-Pont Model, Turnover, Modeling in Logistics
4)	Trend adjustment: Holt’s method, Trend and seasonal variation adjustment: Winter’s model, optimizing the parameters for the above methods
5)	Stochastic demand, Safety stocks, Single products with time-variable demand, dynamic programming
6)	Wagner-Whitin method, Silver-Meal heuristics, Time supply, Lot- forlot, Least unit cost, Part-period balancing, Heuristics
7)	Yield Management – stochastic demand
8)	Midterms Week
9)	Bullwhip effect, Deterministic demand, Probabilistic demand, Arborescent system, Supply chain contracts, Distribution requirements planning
10)	Multioperiod production planning, Repair crew planning
11)	Case Capacent - preparation
12)	Case Capacent feedback session
13)	Course Wrapup; Case Sport Obermeyer feedback session
14)	Finals Week

Sources

Course Notes / Textbooks:	Silver, Edward A. (1998) Inventory management and production planning and scheduling. ISBN 0-471-11947-4.
References:	Ders Notları - Lecture material and course reading package.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	5	% 30
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	3	42
Homework Assignments	5	12	60
Midterms	1	2	2
Final	1	2	2
Total Workload			148

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	As a world citizen, she is aware of global economic, political, social and ecological developments and trends.
2)	He/she is equipped to closely follow the technological progress required by global and local dynamics and to continue learning.
3)	Absorbs basic economic principles and analysis methods and uses them to evaluate daily events.
4)	Uses quantitative and statistical tools to identify economic problems, analyze them, and share their findings with relevant stakeholders.
5)	Understands the decision-making stages of economic units under existing constraints and incentives, examines the interactions and possible future effects of these decisions.
6)	Comprehends new ways of doing business using digital technologies. and new market structures.
7)	Takes critical approach to economic and social problems and develops analytical solutions.
8)	Has the necessary mathematical equipment to produce analytical solutions and use quantitative research methods.
9)	In the works he/she contributes, observes individual and social welfare together and with an ethical perspective.
10)	Deals with economic problems with an interdisciplinary approach and seeks solutions by making use of different disciplines.
11)	Generates original and innovative ideas in the works she/he contributes as part of a team.