Abstract
The problem of logistics partner selection is a key problem in the operational process of fourth party logistics (4PL) model. We propose logistics partner selection index system and use the method of AHP to determine weight coefficient of each index, on the basis of analysis of the influence factors of logistics partner selection under the 4PL model. Whereas the 4PL enterprise usually selects more than one logistics enterprise of more than one kind as its partners, we propose an optimization model of the logistics partner selection under the 4PL model, based on comparing strength of each logistics enterprise and compartmentalizing the logistics demand by region. And an improved algorithm is presented based on genetic algorithm by using the methods of binary encoding, larger population size and smaller crossover probability. Finally, we carry out an example to illustrate the validity of the model and algorithm.
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