MECHATRONICS ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
LOG4436 | Inventory and Warehouse Management | Fall |
3 | 0 | 3 | 6 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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. |
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 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. |
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 |
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. |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. | |
2) | Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. | |
3) | Design complex Mechatronic 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 Mechatronics Engineering practice; employ information technologies effectively. | |
5) | Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. | |
6) | Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. | |
7) | Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, 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) | Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics 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 Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions. |