1 | Course Title: | PRODUCTION PLANNING AND CONTROL I |
2 | Course Code: | END4071 |
3 | Type of Course: | Compulsory |
4 | Level of Course: | First Cycle |
5 | Year of Study: | 4 |
6 | Semester: | 7 |
7 | ECTS Credits Allocated: | 5 |
8 | Theoretical (hour/week): | 3 |
9 | Practice (hour/week) : | 0 |
10 | Laboratory (hour/week) : | 1 |
11 | Prerequisites: | None |
12 | Recommended optional programme components: | None |
13 | Language: | English |
14 | Mode of Delivery: | Face to face |
15 | Course Coordinator: | Dr. Ögr. Üyesi MEHMET AKANSEL |
16 | Course Lecturers: | |
17 | Contactinformation of the Course Coordinator: |
Uludağ Üniversitesi Mühendislik-Mimarlık Fakültesi Endüstri Mühendisliği Bölümü Görükle Kampüsü 16059 Nilüfer BURSA akansel@uludag.edu.tr 294 20 84 |
18 | Website: | http://www20.uludag.edu.tr/~akansel/END4071.htm |
19 | Objective of the Course: | Helping the students gain the knowledge and skills required to plan and control the production activities |
20 | Contribution of the Course to Professional Development | Knowledge and skills to plan the activities required activities for satisfying the customer demands in production and service companies |
21 | Learning Outcomes: |
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22 | Course Content: |
Week | Theoretical | Practical |
1 | Course introduction (Content, weekly plan, evaluation scheme), introduction to production planning and control (basic concepts) | Sample models of supply chain |
2 | Supply chain management (definition, history and content) (Supply chain design) | Case studies in supply chain management |
3 | Supply chain management (planning and coordination in supply chains) | Numerical example solution |
4 | Demand forecasting (Moving averages method, exponential smoothing method, regression analysis) | Numerical example solution Computer lab practice |
5 | Demand forecasting (Holt's method, Winter's method) | Numerical example solution Computer lab practice |
6 | Demand forecasting (Croston's method, evaluation of forecasting errors) | Numerical example solution |
7 | Aggregate planning (basic concepts, general problem formulation, product mix problem) | Numerical example solution Computer lab practice |
8 | Aggregate planning (Process selection problem, multi-stage production planning problems) | Numerical example solution |
9 | In-semester summary and recitations | Numerical example solution Computer lab practice |
10 | Push vs. pull type of production control systems (Basic concepts, basic examples, Material Requirements Planning (MRP)) | Software introduction |
11 | MRP II (Manufacturing Resources Planning), ERP (Enterprise Resources Planning) | Numerical example solution Case study presentation |
12 | Lean manufacturing systems (History, basic components, value stream mapping) | Case study presentation |
13 | Lean manufacturing systems (inventory and scheduling approaches in lean manufacturing, kanban system) | |
14 | Alternative approaches to just in-time manufacturing (CONWIP, theory of constraints (TOC)) |
23 | Textbooks, References and/or Other Materials: |
• Jacobs, F.R., Berry, W.L., Whybark, D.C., Vollmann, T.E., Manufacturing Planning and Control for Supply Chain Management, McGraw-Hill, 2011. • Ghiani, G., Laporte, G., Musmanno, R., Introduction to Logistics Systems Management, 2nd ed. John Wiley High Education, 2013. • Chopra, S., Meindl, P., Supply Chain Management: Strategy, Planning and Operation, Pearson, 5th ed., 2013. • Nahmias, S., Production and Operations Analysis, 6th edition, McGraw-Hill, 2009. • Askin, R.G., Goldberg, J.B., Design and Analysis of Lean Production Systems, Wiley, 2002. |
24 | Assesment |
TERM LEARNING ACTIVITIES | NUMBER | PERCENT |
Midterm Exam | 1 | 25 |
Quiz | 2 | 15 |
Homeworks, Performances | 0 | 0 |
Final Exam | 1 | 60 |
Total | 4 | 100 |
Contribution of Term (Year) Learning Activities to Success Grade | 40 | |
Contribution of Final Exam to Success Grade | 60 | |
Total | 100 | |
Measurement and Evaluation Techniques Used in the Course | Quizzes, midterm exam, final exam | |
Information | Numerical problems suitable to the current course coverage |
25 | ECTS / WORK LOAD TABLE |
Activites | NUMBER | TIME [Hour] | Total WorkLoad [Hour] |
Theoretical | 14 | 3 | 42 |
Practicals/Labs | 14 | 1 | 14 |
Self Study and Preparation | 14 | 6 | 84 |
Homeworks, Performances | 0 | 0 | 0 |
Projects | 0 | 0 | 0 |
Field Studies | 0 | 0 | 0 |
Midtermexams | 1 | 2 | 2 |
Others | 2 | 1 | 2 |
Final Exams | 1 | 2 | 2 |
Total WorkLoad | 148 | ||
Total workload/ 30 hr | 4,87 | ||
ECTS Credit of the Course | 5 |
26 | CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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LO: Learning Objectives | PQ: Program Qualifications |
Contribution Level: | 1 Very Low | 2 Low | 3 Medium | 4 High | 5 Very High |