Mitigating the risk for technology related investments in logistics : the STIC analysis as a decision support tool
- The success of an autonomous robotic system is influenced by several not easily identifiable interdependent factors. This paper is set to lay the foundation of an integrated approach in order to examine all the parameters and understand their contribution to success. After introducing the problem, two autonomous systems for the process of unloading of containers are presented. Then a recently developed method for modelling and interpreting all the parameters, the STIC analysis, are introduced. The preliminary results of applying such a methodology to a first study case is shortly presented. Future research is in the end recommended in order to prove that this methodology is the only way to overcome barriers to the investment in autonomous systems in the logistics sector.
| Author of HS Reutlingen | Urru, Augusto; Bonini, Marco; Echelmeyer, Wolfgang |
|---|---|
| ISBN: | 978-3-643-99768-5 |
| Erschienen in: | Journal of engineering, management and operations |
| Publisher: | LIT Verlag |
| Place of publication: | Wien |
| Document Type: | Journal article |
| Language: | English |
| Publication year: | 2018 |
| Volume: | 1 |
| Page Number: | 13 |
| First Page: | 65 |
| Last Page: | 77 |
| Note: | Tatsächlich erschienen 2019 |
| PPN: | Im Katalog der Hochschule Reutlingen ansehen |
| DDC classes: | 330 Wirtschaft |
| Open access?: | Nein |
