Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Promising developments and further improvements of cyber physical logistics systems (CPLS) and automated guided vehicles (AGV) lead to broader application of such systems in production environments and smart factories. In this study a new mixed integer linear program (MILP) is presented for the scheduling of AGVs in a flexible reentrant job shop with blocking. Optimal solutions to small instances of the complex scheduling problem in a make-to-order production, minimizing the make span, are calculated. Different numbers of jobs are considered. Feasible schedules for the machines and the AGVs are generated from different sized instances to evaluate the limits of the mathematical model.
| Original language | English |
|---|---|
| Title of host publication | Advances in Production Management Systems : The Path to Intelligent, Collaborative and Sustainable Manufacturing |
| Editors | Ralph Riedel, Klaus-Dieter Thoben, Gregor von Cieminski, Dimitris Kiritsis, Hermann Lodding |
| Number of pages | 8 |
| Volume | 1 |
| Publisher | Springer Verlag |
| Publication date | 2017 |
| Pages | 151 - 158 |
| ISBN (print) | 978-3-319-66922-9 |
| ISBN (electronic) | 978-3-319-66923-6 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | International Conference on Advances in Production Management Systems - Hamburg, Germany Duration: 03.09.2017 → 07.09.2017 http://www.apms-conference.org/past-conferences/apms-2017/ |
- Engineering - AGV, Cyber physical systems, Job Shop Scheduling, MILP