Abstract
The mutual discovery of collaborative business between companies has great impacts on the efficiency and cost of collaborative logistics.This paper deals with the discovery method by data matching of collaborative transportation business. A match model is proposed to enable the collaborative transportation business to match automatically. The match between shipments and vehicles depends on the matching of operation dates, the origin and destination, type and amount of goods, size of goods. The detailed match corresponding algorithm is developed. A toolkit was developed based on web data to validate the algorithm. It is indicated that this model and the toolkit decreases search effort of partners on looking for their interested business and improves the efficiency of using business data.
Publisher
Trans Tech Publications, Ltd.
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