Abstract
This paper presents a production scheduling system that optimizes operations of a modular factory. The proposed system consists of a database, a scheduling optimizer and an interface connecting two other components. A scheduling model for optimal schedules plays a key role in the scheduling system. In this research, we aim to develop the scheduling model using constraint programming, and design a data mart storing the related operational data. In particular, we set the modular factory environment to the hybrid flow shop and apply the constraint programming for scheduling. We provide a case study to test the performance of the proposed scheduling model with the synthesized dataset based on a modular factory environment in SmartFactoryKL.
| Original language | English |
|---|---|
| Title of host publication | Advances in Service and Industrial Robotics - Proceedings of the 28th International Conference on Robotics in Alpe-Adria-Danube Region RAAD 2019 |
| Editors | Karsten Berns, Daniel Görges |
| Publisher | Springer Verlag |
| Pages | 126-133 |
| Number of pages | 8 |
| ISBN (Print) | 9783030196479 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 28th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2019 - Kaiserslautern, Germany Duration: 19 Jun 2019 → 21 Jun 2019 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 980 |
| ISSN (Print) | 2194-5357 |
| ISSN (Electronic) | 2194-5365 |
Conference
| Conference | 28th International Conference on Robotics in Alpe-Adria-Danube Region, RAAD 2019 |
|---|---|
| Country/Territory | Germany |
| City | Kaiserslautern |
| Period | 19/06/19 → 21/06/19 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2020.
Keywords
- Constraint programming
- Flexible manufacturing
- Hybrid flow shop
- Production scheduling
- Smart factory
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