A Combined Liquefied Natural Gas Routing and Deteriorating Inventory Management Problem
| Autor: | Ghiami, Y., van Woensel, T., Christiansen, Marielle, Laporte, G., Corman, Fr., Voss, St., Negenborn, R.R. |
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| Přispěvatelé: | Logistics, Amsterdam Business Research Institute, Operations Planning Acc. & Control |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: | |
| Zdroj: | International Conference on Computational Logistics, 9335, 91-104 Lecture Notes in Computer Science ISBN: 9783319242637 ICCL Computational Logistics: 6th International Conference, ICCL 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings, 9335, 91-104 Ghiami, Y, Van Woensel, T, Christiansen, M & Laporte, G 2015, A Combined Liquefied Natural Gas Routing and Deteriorating Inventory Management Problem . in International Conference on Computational Logistics . vol. 9335, Springer LNCS, pp. 91-104 . |
| Popis: | Liquefied Natural Gas (LNG) is becoming a more crucial source of energy due to its increased price competitiveness and environmental friendliness. We consider an inventory routing problem for inland distribution of LNG from storage facilities to filling stations. Here, an actor is responsible for the inventory management at the storage facilities and filling stations, as well as the routing and scheduling of a heterogeneous fleet of vehicles. A characteristic of the problem is that a constant rate of LNG evaporates each day at the storage facilities and filling stations. This is in contrast to maritime LNG inventory routing problems where the evaporation is considered at the ships only. The combined LNG routing and deteriorating inventory management problem is modelled with both an arc-flow and a path-flow formulation. Both models are tested and compared on instances motivated from a real-world problem. This is a post-peer-review, pre-copyedit version of a chapter published in [International Conference on Computational Logistics]. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-24264-4_7 |
| Databáze: | OpenAIRE |
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