A method for the hub location problem of scale-distance tradeoffs
Gang Gang Niu, Li Zhang, Hongbo Li, Hong Wei Ding
Abstract
Gang Gang Niu, Li Zhang, Hongbo Li, Hong Wei Ding
Abstract
Scale and distance factors determine the economies in less-than-truckload transportation. A 3-stage method is presented for the hub location problem of scale-distance tradeoffs in a context of hub-and-spoke network. A business-rule based preprocessing determines cargo quantities shipped directly and hub-transferred. A 0-1 integer programming model incorporating stepwise transport rates is proposed. Dynamic transport rates are utilized to maximize applicable scale and distance economies by best matching cargo flows with vehicle types. A case from one leading less-than-truckload company in China is studied and results demonstrate the effectiveness of the proposed method.
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Scale and distance factors determine the economies in less-than-truckload transportation. A 3-stage method is presented for the hub location problem of scale-distance tradeoffs in a context of hub-and-spoke network. A business-rule based preprocessing determines cargo quantities shipped directly and hub-transferred. A 0-1 integer programming model incorporating stepwise transport rates is proposed. Dynamic transport rates are utilized to maximize applicable scale and distance economies by best matching cargo flows with vehicle types. A case from one leading less-than-truckload company in China is studied and results demonstrate the effectiveness of the proposed method.
Key concepts: Scale (ratio), Context (archaeology), Matching (statistics), Computer science, Economies of scale, Integer programming, Operations research, Mathematical optimization