A robust two-echelon periodic multi-commodity RFID-based location routing problem to design petroleum logistics networks: a case study
Küçük Resim Yok
Tarih
2021
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study proposes a robust two-echelon periodic multi-commodity Location Routing Problem (LRP) by the use of RFID which is one of the most useful utilities in the field of Internet of Things (IoT). Moreover, uncertain demands are considered as the main part to design multi-level petroleum logistics networks. The different levels of this chain contain plants, warehouse facilities, and customers, respectively. The locational and routing decisions are made on two echelons. To do so, a novel mixed-integer linear programming (MILP) model is presented to determine the best locations for the plants and warehouses and also to find the optimal routes between plant level and warehouse facilities level, for the vehicles and between warehouse facilities level and customers’ level in order to satisfy all the uncertain demands. To validate the proposed model, the CPLEX solver/GAMS software is employed to solve several problem instances. These problems are analyzed with different uncertain conditions based on the applied robust optimization technique. Finally, a case study is evaluated in Farasakou Assaluyeh Company to demonstrate the applicability of our methodology and find the optimal policy.
Açıklama
Anahtar Kelimeler
IoT, Location Routing Problem, Multi-Commodity Logistics, RFID System, Robust Optimization
Kaynak
Communications in Computer and Information Science
WoS Q Değeri
N/A
Scopus Q Değeri
Q4
Cilt
1458
Sayı
1
Künye
Tirkolaee, E. B., Goli, A., & Weber, G. W. (2020, December). A Robust Two-Echelon Periodic Multi-commodity RFID-Based Location Routing Problem to Design Petroleum Logistics Networks: A Case Study. In International Conference on Logistics and Supply Chain Management (pp. 3-23). Springer, Cham.
