INVENTORY MANAGEMENT
| Title | ΔΙΑΧΕΙΡΙΣΗ ΑΠΟΘΕΜΑΤΩΝ / INVENTORY MANAGEMENT |
| Code | 327 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Winter |
| Coordinator | Georgios Tagaras |
| Common | Yes |
| Status | Active |
| Course ID | 20000304 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 106
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Energy | Elective Courses belonging to the other | 7 | 4 | 5 |
| Design and Structures | Elective Courses belonging to the other | 7 | 4 | 5 |
| Industrial Management | Compulsory Course belonging to the selected specialization (Compulsory Specialization Course) | 7 | 4 | 5 |
| Academic Year | 2019 – 2020 |
| Class Period | Winter |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600149926
|
Course Type 2016-2020
- Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600149926
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=12067
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Familiarity with optimization, probability and statistics at an introductory level.
Learning Outcomes
- Learning quantitative inventory management methods for the case of deterministic and stochastic demand.
- Solving numerical examples and problems with the application of the introduced quantitative methods.
- Development of critical skill to choose and apply the appropriate quantitative method depending on the case under study.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Adapt to new situations
- Make decisions
- Work autonomously
- Work in an international context
Course Content (Syllabus)
Introduction - The significant role of Inventory Management. Forecasting methods. Deterministic systems of inventory management: (a) the case of known and constant demand and (b) the case of known but varying demand. Stochastic systems of inventory management: continuous and periodic review. Single-period model for the management of seasonable and innovative products (newsvendor problem). Inventory management of multiple products.
Keywords
Inventory management, Quantitative Methods
Educational Material Types
- Notes
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Communication with Students
Description
Teaching material and information about the course through elearning.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 52 | 1.7 | ✓ | ||
| Reading Assigment | 70 | 2.3 | ✓ | ||
| Written assigments | 22 | 0.7 | ✓ | ||
| Exams | 6 | 0.2 | ✓ | ||
| Total | 150 | 5 |
Student Assessment
Description
The final grade M is a combination of the grades in the final written examination (T), the midterm examination (Π) and the project/homework (E) as follows:
• If either Τ < 4,5 or (Τ+Π)/2 < 4, then the final grade is Μ = (0,8)Τ.
• In every other case the final grade is Μ = max {(0,6)Τ + (0,3)Π + (0,2)Ε, (0,8)T}.
Student Assessment methods
- Written Exam with Short Answer Questions (Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Ιωάννου, Γ. «Διοίκηση Παραγωγής και Υπηρεσιών», Εκδ. Unibooks, 2017.
2. Δημητριάδης, Σ. και Α. Μιχιώτης, «Διοίκηση Παραγωγικών Συστημάτων», Εκδ. Κριτική, 2007.
3. Hillier, F.S. and G.J. Lieberman, «Εισαγωγή στην επιχειρησιακή έρευνα», Εκδ. Τζιόλα, 2017.
Last Update
30-11-2019
