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heuristics, metaheuristics, matheuristics, and decomposition approaches. Some established methods (adaptive large neighborhood … short-haul routing cost, such that large improvements are possible merely by increasing long-haul flexibility but not long … 24-hour locker boxes supplied by the logistics provider if they are located near their home. In particular, we explore …
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This paper aims to solve the location and routing problem (LRP) in the agricultural sector with the objective function …
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This study presents optimization models for large vehicle routing problems using a spreadsheet solver and Python … that decision-makers can solve vehicle routing optimization problems with limited access to high-end optimization tools …. This study shows managers and decision-makers can use vehicle routing optimization even with limited access to …
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: establishing a mathematical model of multi-objective emergency logistics vehicle routing problem. And in end of the paper, we …Purpose: Aim at choosing a relative good vehicle routing in emergency conditions under constraint conditions when … choosing vehicle routing when the disasters happens is meaningful. We can get a relative good result and give a guidance to …
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In this paper, we describe the results from an academic and industry collaboration to address the bulk tank allocation problem for industrial gas distribution systems where customer demand varies over time. The bulk tank allocation problem determines the preferred size of bulk tanks to assign to...
Persistent link: https://www.econbiz.de/10011891945
This paper introduces a new mixed integer model to provide efficient distribution plans to route a set of inbound/outbound heterogeneous vehicles in the crossdocking systems that are used to transfer different types of commodities from a manufacturing plant to retail warehouses with allowed...
Persistent link: https://www.econbiz.de/10012172447