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.

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In service-oriented architecture, services and business processes are closely related and therefore the research on service-oriented business process (SOBP) attracts the attention of academia as well as industry. Because of the loosely coupled, autonomic and dynamic nature of services, the operation and the performance evaluation of business process meet some challenges, such as the definition of the key performance indicators (KPIs) and the alignment of business performance and IT performance. In this paper, we address these challenges. First, the definition and the characteristics of an SOBP are presented with a motivating scenario. Then a service-oriented business performance evaluation model is described, which integrates the performance of strategy layer, business process layer, business activity layer, service composition layer and IT infrastructure layer. The KPIs corresponding to each layer are also defined with their formal representations. The qualitative and quantitative performance analysis methods, based on the proposed model, are presented, respectively. Finally, the improved analytic hierarchy process is explicated to calculate the correlation between different KPIs and select the most suitable service. An online-shopping example is taken to prove the soundness and the feasibility of the method. INTRODUCTIONWith the advent of new computing paradigms such as Grid [1], service-oriented architecture [2] and P2P computing [3], Web services are gaining momentum as key elements in enterprise information systems. On building a loosely coupled services ecosystem, more and more researches are focused on service composition, in which workflow and business process management have shown great potential. There is an emerging tendency that combines Web service and business process together [4][5][6]. Because of the loosely coupled, autonomic and dynamic nature of services, service-oriented business process (SOBP) represents some new characteristics and challenges with regard to operation mechanism and performance evaluation.Many studies have been dedicated to the performance evaluation of business system and IT system. Liu et al. [7] proposed an evaluation system reflecting the synthetical performance of business processes. Zhu et al.[8] presented a performance evaluation system based on manufacturing processes, but lacked particular description on the criteria in each layer. Chen [9] analyzed workflow performance through generalized stochastic Petri nets, yet needed further research on resource distribution and data share. Spooner et al.[10] described a performance-aware grid management system that supported workflow scheduling using a multi-domain performance management infrastructure. Menasce [11] discussed the quality of service (QoS) issues in Web services. Song and Lee [12] introduced a performance analysis tool sPAC especially toward Web services, but only time properties were illustrated. Chen and Yang [13] depicted the verification and validation of grid workflow.With its unique importance for business ...