The drop-lot location problem on a supply chain
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This paper presents a model for strategically locating drop-lots on a supply chain distribution network. The problem is modelled as a set covering location problem with the addition of a set of minimum-distance-away constraints. The effect of these constraints on the solution space is dramatic, reducing the problem size significantly. It is also proposed that the use of drop-lots in a supply chain can have beneficial quality of life effects for the truck drivers in such a system by allowing them more home time. A real-life example problem from the Midwest is used to validate the model and some computational experience is also reported. Copyright 2010 Inderscience Enterprises Ltd.