2011Journal of Railway Science and EngineeringRequires access

Railway empty container allocation model based on cargo rank

Xinzhu Yang

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Abstract

A nonlinear mixed integer programming on railway empty container allocation is modeled based on cargo rank according to railway transportation characteristic.The objective function is minimizing the cost of empty container allocation.Under short of empty container,the higher the cargo demand rank is,the more preferentially satisfied the empty container demand will be.A numerical case is given to demonstrate the validity and feasibility of the proposed model.

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What this paper is about

A nonlinear mixed integer programming on railway empty container allocation is modeled based on cargo rank according to railway transportation characteristic.The objective function is minimizing the cost of empty container allocation.Under short of empty container,the higher the cargo demand rank is,the more preferentially satisfied the empty container demand will be.A numerical case is given to demonstrate the validity and feasibility of the proposed model.

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Available abstract

A nonlinear mixed integer programming on railway empty container allocation is modeled based on cargo rank according to railway transportation characteristic.The objective function is minimizing the cost of empty container allocation.Under short of empty container,the higher the cargo demand rank is,the more preferentially satisfied the empty container demand will be.A numerical case is given to demonstrate the validity and feasibility of the proposed model.

Key concepts: Container (type theory), Rank (graph theory), Integer programming, Mathematical optimization, Nonlinear programming, Function (biology), Computer science, Nonlinear system

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