Research On Logistics Service Matching And Selection

Logistics is a central part of modern economy. Modern logistics service industry has been especially emphasized in key development of The National Eleventh Five-year Plan. Traditional logistics operations are not flexible nor available for the logistic industry growth's requirements. While informationization has been admitted as one of the primary means to normalize the operational process. Therefore, logistics informationization is necessary for development of modern logistics in our country. Due to the cross regions, changed processes, general information systems cannot satisfy the requirements of distribution and flexibility. Web service is available for alterable distributed circumstance and diversity of logistic operations across region. Firstly, logistics services are encapsulated in the form of Web services and published. Then services are matched and selected. Finally, logistics operations are managed dynamically and the comprehensive logistics service system is constituted.Current research and application in the filed of logistics services matchmaking and selection and the key technologies are analyzed in this dissertation and many problems are found. To solve above problems, logistics process operation and ontology are studied, then instances for logistics domain ontology and logistics services quality ontology are built. Besides, semantic annotations are proposed and accomplished. Furthermore, Distance of Ontology concept property based three-level Matchmaking algorithm for logistics services—DisOnMatch and SUQMulT based Fuzzy algorithm for Logistics services Selection—SUQMulT-FuzLS are proposed. Finally, DisOnMatch and SUQMulT-FuzLS are validated under multimodal transport among automobile manufacture enterpreise centralization scene based on service management platform framework.The framework of all life cycle for logistics services is abstracted from activities of all life cycle for Web services; The framework of logistics services matchmaking and selection is proposed according to logistics process operations, which pays more attention to logistics domain ontology, algorithms for both services matchmaking and service selection.Differences between SAWSDL and OWL-S for semantic annotation are studied and analyzed, and SAWSDL is adopted to annotate services. Instances of logistics domain ontology and logistics service quality ontology available are set up according to logistics operation process and logistics services category; The method for logistics services annotation with SAWSDL based on logistics domain ontology is proposed and accomplished.Logistics services are matched between services template and candidate logistics services. DisOnMatch is proposed according to matchmaking process. Three-level matchmaking are converted to semantic similarity on mapping ontology concepts by modeling for services matchmaking process; Category matchmaking is converted to semantic similarity on mapping concepts in logistics service category ontology. Profile matchmaking is converted to concepts similarity on vocabularies in WordNet ontology. Interface matchmaking is converted semantic distances of logistics domain ontology concept properties. After formal description for matchmaking process is finished, total matchmaking score is obtained.This dissertation studies the indexes of service quality for multimodal transport, which include qualities of multimodal transport process and Web services; A model on logistics service quality is built; Subject Uncertainty based comprehensive evaluation system on Quality for Multimodal Transport services—SUQMulT is proposed according to quality indexes, evaluation type and influence degree for logistics services.Logistics service qualities are evaluated by trapezoidal fuzzy number according the subject uncertainty; Logistics service selection is converted to fuzzy multi-attribute decision making according to the framework of logistics services matchmaking and selection; Also SUQMulT-FuzLS based on SUQMulT is proposed.DisOnMatch and SUQMulT-FuzLS are validated in a multimodal transport among automobile manufacture enterpreise centralization scene based on service management platform framework; Each level and total matchmaking scores are got by DisOnMatch, and then optimal logistics service is selected among the logistics services, whose matchmaking degrees are higher than threshold value of matchmaking score.