Lehrinhalte
The course deals with models for the coordination of inventory systems. The focus is on the determination of optimal production and transportation quantities as well as optimal production sequences. The objective of the models discussed in the course is to guarantee both high service levels and low costs associated with keeping products in stock. The decision support models discussed in this course are of special importance for companies in the manufacturing sector as well as trading companies, as these sectors often face high inventory levels. After participating in this course, students are able to model planning problems that arise in production and inventory systems and to derive decision support.
1. Principles of Production Planning and Control (PPC)
2. Lot Sizing
2.1. The Economic Production Quantity (EPQ) model
2.2. Two-stage lot sizing models
2.2.1. Push systems with open production
2.2.2. Pull systems with open production
2.2.3. Closed production
2.2.4. Batch sizing
2.3. Multi-stage lot sizing models
2.3.1. Planning lot sizes in multi-stage production systems
2.3.2. Batch sizing
2.4. Lot sizing under constraints
2.4.1. Constraints on the lot size
2.4.2. Planning lot sizes and lot sequences
2.4.3. Time constraints
3. Scheduling
3.1. Basics of Scheduling
3.2. Scheduling jobs on a single machine
3.3. Scheduling jobs on multiple machines
3.3.1. Johnsons methods
3.3.2. Lomnickis methods
3.3.3. Heuristics for planning complex problems
3.4. Special Scheduling and PPC problems
Literatur
Will be announced in the course.
Voraussetzungen
Students attending this course should be familiar with the topics discussed in the courses "Principles of Business Administration I II" as well as Production and Supply Chain Management, and they should be familiar with basic OR-methods.
The course deals with models for the coordination of inventory systems. The focus is on the determination of optimal production and transportation quantities as well as optimal production sequences. The objective of the models discussed in the course is to guarantee both high service levels and low costs associated with keeping products in stock. The decision support models discussed in this course are of special importance for companies in the manufacturing sector as well as trading companies, as these sectors often face high inventory levels. After participating in this course, students are able to model planning problems that arise in production and inventory systems and to derive decision support.
1. Principles of Production Planning and Control (PPC)
2. Lot Sizing
2.1. The Economic Production Quantity (EPQ) model
2.2. Two-stage lot sizing models
2.2.1. Push systems with open production
2.2.2. Pull systems with open production
2.2.3. Closed production
2.2.4. Batch sizing
2.3. Multi-stage lot sizing models
2.3.1. Planning lot sizes in multi-stage production systems
2.3.2. Batch sizing
2.4. Lot sizing under constraints
2.4.1. Constraints on the lot size
2.4.2. Planning lot sizes and lot sequences
2.4.3. Time constraints
3. Scheduling
3.1. Basics of Scheduling
3.2. Scheduling jobs on a single machine
3.3. Scheduling jobs on multiple machines
3.3.1. Johnsons methods
3.3.2. Lomnickis methods
3.3.3. Heuristics for planning complex problems
3.4. Special Scheduling and PPC problems
Literatur
Will be announced in the course.
Voraussetzungen
Students attending this course should be familiar with the topics discussed in the courses "Principles of Business Administration I II" as well as Production and Supply Chain Management, and they should be familiar with basic OR-methods.
- Lehrende: Christoph Glock
Semester: WT 2018/19