BIOMEDICAL ENGINEERING
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) Adequate knowledge of subjects specific to mathematics (analysis, linear, algebra, differential equations, statistics), science (physics, chemistry, biology) and related engineering discipline, and the ability to use theoretical and applied knowledge in these fields in complex engineering problems.
2) Identify, formulate, and solve complex Biomedical Engineering problems; select and apply proper modeling and analysis methods for this purpose
3) Design complex Biomedical systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose.
4) Devise, select, and use modern techniques and tools needed for solving complex problems in Biomedical Engineering practice; employ information technologies effectively.
5) Design and conduct numerical or physical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Biomedical Engineering.
6) Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Biomedical Engineering-related problems.
7) Ability to communicate effectively in Turkish, oral and written, to have gained the level of English language knowledge (European Language Portfolio B1 general level) to follow the innovations in the field of Biomedical Engineering; gain the ability to write and understand written reports effectively, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself.
9) Having knowledge for the importance of acting in accordance with the ethical principles of biomedical engineering and the awareness of professional responsibility and ethical responsibility and the standards used in biomedical engineering applications
10) Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development.
11) Acquire knowledge about the effects of practices of Biomedical Engineering on health, environment, security in universal and social scope, and the contemporary problems of Biomedical Engineering; is aware of the legal consequences of Mechatronics engineering solutions.