PRODUCTION PLANNING AND CONTROL
| Title | ΠΡΟΓΡΑΜΜΑΤΙΣΜΟΣ ΚΑΙ ΕΛΕΓΧΟΣ ΠΑΡΑΓΩΓΗΣ / PRODUCTION PLANNING AND CONTROL |
| Code | 222 |
| Faculty | Engineering |
| School | Mechanical Engineering |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Georgios Georgiadis |
| Common | Yes |
| Status | Active |
| Course ID | 20000312 |
Programme of Study: UPS of School of Mechanical Engineering
Registered students: 61
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Energy | Elective Courses belonging to the other | 8 | 4 | 5 |
| Design and Structures | Elective Courses belonging to the other | 8 | 4 | 5 |
| Industrial Management | Elective Course belonging to the selected specialization (Elective Specialization Course) | 8 | 4 | 5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Total Hours | 52 |
| Class ID | 600287912
|
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/1/600287912
- Other: http://eclass.auth.gr/courses/MENG222/
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
By the end of the module, students should be able to: (i) apply tools for intermediate production planning; (ii) apply tools for the management of materials; (iii) develop effective short-term production plans; (iv) coordinate personnel, machines, and other resources to perform work in a timely manner; and (v) evaluate the production cost.
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
Course Content (Syllabus)
Introduction. Aggregate Planning: Simple planning heuristics (chase demand strategy; level workforce strategy); planning with linear and non-linear cost functions; planning the production, inventory and work force, dis-aggregating the aggregate plan.
Production Scheduling: project scheduling; scheduling for job-shop systems; scheduling for flow-shop systems; scheduling for batch production systems; scheduling for continuous production systems.
Managing Materials with Depended Demands:Structure and principles of MRP systems; MRP inputs (master schedule file, bill of materials BOM file, inventory records file; MRP logic and mechanics; MRP outputs (orders and production release schedules, order releases, change reports, load reports); lot sizing in MRP; capacity requirements planning; Manufacturing Resources Planning MRP II.
Just-In-Time and Optimized Production Technology: the principles and mechanics of JIT production; implementing JIT production; synchronous production and the theory of constraints; optimized production technology (OPT). Cost measures and accounting practices: the sources of costing; cost centers; production cost.
Keywords
Production planning and control, aggregate production planning, flow-shop systems, job-shop systems, job scheduling, batch production, line balancing, MRP, costing.
Educational Material Types
- Notes
- Slide presentations
- Interactive excersises
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
Description
Lectures are supported by Microsoft Office PowerPoint presentations which are available in Pdf by the digital course content (http://eclass.auth.gr/MENG222/). The laboratory work is supported by MS Excel applications and specialized software package applications.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 39 | 1.3 | ✓ | ||
| Reading Assigment | 75 | 2.5 | ✓ | ||
| Tutorial | 26 | 0.9 | ✓ | ||
| Written assigments | 5 | 0.2 | ✓ | ||
| Exams | 5 | 0.2 | ✓ | ||
| Total | 150 | 5 |
Student Assessment
Description
The evaluation of students (FG)(range 0-10) is based on a combination of the following marks:
Final examination paper (FE), Midterm examination paper (ME), assignment (AA)
The evaluation formula is as follows:
If FE<5, then: FG = FE
If FE>=5 then: FG = 5 + (FE-5)*0,6 + (AA-5)*0,4 + (ME-5)*0,2 (no negative marks)
Student Assessment methods
- Written Exam with Short Answer Questions (Formative, Summative)
- Written Assignment (Summative)
- Written Exam with Problem Solving (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
1. Παππής Κ., «Προγραμματισμός Παραγωγής», εκδόσεις Αθ. Σταμούλης, 2017.
2. Γεωργιάδης Μ., Ελεκίδης Α., Γεωργιάδης Γ., «Τεχνικές Βελτιστοποίησης Παραγωγής σε Βιομηχανίες Διεργασιών», εκδόσεις Τζιόλα, 2022.
3. Ψωϊνός Δ.Π., Οργάνωση και Διοίκηση Εργοστασίων, Δεύτερος Τόμος «Προγραμματισμός και Ελεγχος Παραγωγής», εκδόσεις Ζήτη, 2010.
4. Παπαδόπουλος Χ., "Διοίκηση Επιχειρησιακών Λειτουργιών", εκδόσεις Σοφία, 2015.
Last Update
24-10-2025
