Optimal service selection and composition for service-oriented manufacturing network

This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. 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. 1. Introduction Interaction between manufacturing and services leads to the emergence of the service-oriented manufacturing (SOM) paradigm (Fry et al. 1994, Marceau and Martinez 2002, Gebauer et al. 2005). In the past decades, the enterprises have made the transition from a product manufacturer to a service provider. Examples of implementing this SOM strategy include IBM, GM and Intel (Karmakar 2004). Through the bundling of tangible products with associated intangible services , SOM extends the value chain and value creation for enterprises and customers. Sun and Li (2007) defined SOM as a new advanced manufacturing paradigm where involved enterprises provide production-related services for each other to form a SOM network (SOMN). Production-related services enlarge the product connotation and realise the specialisation. A broad range of production-related services have been developed and incorporated within manufacturing (Marceau and Martinez 2002). Typical examples include engineering design and development (Hu et al. 2010), production management (Ahn et al. 2005, Phaithoonbuathong et al. 2010), material purchasing and transportation (Chen et al. 2010), repair and maintenance (Jiang and Fukuda 2001, Jiang et al. 2007). In …