Szczegóły publikacji
Opis bibliograficzny
Identification of key supply chain elements from the supply chain resilience viewpoint using the computer simulation and design of experiments / Radim Lenort, Pavel Wicher, Eva Jarošová, Marek KARKULA, David Staš, David Holman // W: Smart City $360^{\circ}$C : first EAI international summit : Bratislava, Slovakia and Toronto, Canada, October 13–16, 2015 : revised selected papers / eds. Alberto Leon-Garcia [et al.]. — Switzerland : Springer International Publishing, cop. 2016. — (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; ISSN 1867-8211 ; 166). — ISBN: 978-3-319-33680-0; e-ISBN: 978-3-319-33681-7. — S. 629–639. — Bibliogr. s. 638–639, Abstr.
Autorzy (6)
- Lenort Radim
- Wicher Pavel
- Jarošová Eva
- AGHKarkula Marek
- Staš David
- Holman David
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 103909 |
|---|---|
| Data dodania do BaDAP | 2017-01-27 |
| DOI | 10.1007/978-3-319-33681-7_54 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | International Conference on Sustainable Solutions Beyond Mobility of Goods |
| Czasopismo/seria | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
Abstract
Today’s supply chains must face a wide spectrum of factors causing their disruption. The concept of supply chain resilience is response to this situation. Utilization of suitable decision support techniques is necessary to manage the supply chain resilience effectively. One of the key question in supply chain resilience management is to find such combination of investments to increasing the resilience of single supply chain elements to obtain maximal financial benefit for the whole supply chain. The aim of this article is to find an approach for identification of such supply chain elements, which are the most important for resilience of researched supply chain. The paper analyze possibilities of using computer simulation and design of experiments techniques for reaching the aim. Suitability of these techniques is confirmed on the supply chain model, which was created for that purpose.