Optimal service selection and composition for service-oriented manufacturing network

Abstract

The management of services is the kernel content of service-oriented manufacturing. However, it is difficult to realise the integration and optimisation of services in an open environment, which contains large amounts randomicity and uncertainty. The key problem is how to realise the optimal service selection and composition. In this article, the comprehensive performance evaluation metrics for service-oriented manufacturing network is proposed, which combines the key performance indicators of services in business, service and implementation level. The performance evaluation model is brought forward to analyse the local and global performance. An uncertainty and genetic algorithm-based method is developed to realise the optimal service selection and composition in effective and efficient way.

Customer demand prediction of service-oriented manufacturing incorporating customer satisfaction

“…Many famous manufacturing enterprises including IBM, Intel and GM have attempted to implement the SOM strategy (Karmarkar 2004). SOM extends the principles of value chain and value creation of enterprises and customers by bundling the tangible products and relevant intangible services (Huang et al 2011), and the interaction between products and services leads to the deep participation of customers in the development and manufacturing process (Cavalieri and Pezzotta 2012).…”

Strategic Service Selection Problem for Transport Telematic Services - An Optimization Approach

“…Therefore approaches for composing ITS services can support the identification of candidate services for the service layer based on architectural functionalities. Methods related to optimization have been shown to perform well when addressing service composition problems in many related areas, e.g., web service selection and compositions [8], and service oriented manufacturing [11]. A mixed integer linear programming problem has been proposed with negotiation techniques employed to identify feasible solutions [12].…”

Domain-aware reputable service recommendation in heterogeneous manufacturing service ecosystem

“…Definitions, classifications and measurement methods are presented to evaluate the composition's flexibility so that the optimal-selection based on flexibility can be enabled (Guo et al 2012). A performance evaluation method for service-oriented manufacturing network, which combines performance indicators on business, service and implementation level, is proposed for the optimal service selection and composition in the MSE (Huang et al 2011). Li et al introduce a method to calculate the trust among services and then the trust-based multi-service selection method is presented to select the optimal services for the composition (Li, Fan, and Li 2011).…”

“…Some works aggregate the opinions of other users in the trust network to generate personalised recommendation for consumers based on graph-based trust models, interaction-based trust models and hybrid trust models (Yao et al 2011;Wang and Vassileva 2007;Sherchan, Nepal, and Paris 2013;Wu et al 2013). However, performance measurement of manufacturing services is quite different from the product functionality and tolerance (Ellram, Tate, and Billington 2004) or the IT-attributes of services, QoS, from the field of computer science (Huang et al 2011). Rare MSE offers the QoS information and it is resource-intensive and sometimes impossible to fetch the QoS.…”