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We present a service resource selection and scheduling approach capable of maximizing the resource utilization rate (RUT) and the requirement satisfaction degree (RSD) by bundling multiple customer requirements (CRs). In traditional approaches, each CR is optimally satisfied by independently selecting a set of candidate service resources. This possibly leads to a low RUT and low RSD. In our approach,...
It presents the IPAFN (importance performance analysis based fuzzy neural) approach that integrates fuzzy set theory, BPNN (back propagation neural network) and three-factor theory. The importance of service attributes is implicitly derived via the BPNN that used defuzzification crisp number data. The weights between input neurons and output neurons in the BPNN represent the actual importance of attributes...
Marine logistics service is one of the fundamental production services supporting the import and export businesses of other industries. The current marine logistics service eco-system formed spontaneously, and during its development, various types of service providers were stepwise imported and complex business collaborations formed between them. Based on our investigation on marine logistics services...
Customers in today's marketplace are more demanding, not just of products, but also of service. For manufacturing industries, having a good understanding of the customer's preferences is a key issue to improve customer's satisfaction. Although many approaches for gaining customer's product preferences are reported in the literatures, the problem of analysis customer's service preferences is still...
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