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• W4289938105 abstract "• A decision support model special freight transportation operator (SFTO). • An MILP model to maximize revenue of SFTO. • Development of an IoT-enabled real-time rake rescheduling heuristic algorithm. • Proposed heuristics performs well in terms CPU time and solution quality. • Helpful for SFTO in running their day to day business. Railway organizations are spending on digitizing rail freight transportation for better resource utilization and revenue generation. In 2010, the Indian Railway (IR) proposed a “Special Freight Train Operator” scheme to build an IR stake in freight transportation in high-capacity rakes. IR allowed freight train operators (FTOs) and manufacturers to invest in wagons and take benefit of the largest rail network to move selected goods to their end customers. In the absence of an optimized support system, FTOs are often confronted with the decision of rolling stock (rake) scheduling, rake assignment, and rescheduling on a real-time basis. Today, most of the rakes have GPS devices. Thus, railway train management systems readily provide data to create a dynamic optimization model for FTOs using IoT-based real-time information. We first formulate a mixed-integer linear programming (MILP) model that aims at revenue maximization incorporating optimal rake assignment and optimal rake scheduling. Furthermore, to incorporate real-time GPS data, we propose an “IoT enabled real-time rake schedular-reschedular heuristic” for rescheduling. The computational investigations exhibit that the proposed heuristic performs effectively both in terms of run time and the quality of the solution. These models will help FTOs smoothly run day-to-day businesses and lead to better revenue realization in the calendar month by increasing the number of trips." @default.
• W4289938105 created "2022-08-06" @default.
• W4289938105 creator A5060313770 @default.
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• W4289938105 date "2022-10-01" @default.
• W4289938105 modified "2023-09-30" @default.
• W4289938105 title "An internet of things-enabled decision support system for freight transportation: A case study of Indian special freight transport operator" @default.
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• W4289938105 doi "https://doi.org/10.1016/j.cie.2022.108549" @default.
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