A mapping network model integrating service to warrant function availability of complex electro-mechanical products

In recent years, in order to obtain value increment of enterprises, product service system (PSS) that integrates products and services is attracting more and more attentions in life cycle. Meanwhile, in the product usage phase, the maintenance actions undertaken in-house by customers haven't fully warranted products' availability for increasingly complex electro-mechanical products. So, for the purpose of warranting function availability (i.e. the availability of a function for operation) and improving equipment's operation performance by integrating services, it is necessary to allow for the complex interactive relationships among functions, structures and services to implement service's integration. According to the research on PSS, to further discuss the integrating and mapping process from the standpoint of network modeling, the mapping network model integrating service is proposed. Concretely, this model includes function layer, structure layer, service layer and their mapping network relationships. In function layer, a multi-view function decomposition model with hierarchical design structure matrix (HDSM) is introduced to present function nodes and their inherent correlations, comprehensively. In structure layer, the structure nodes are mapped from normalized mapping process and their interdependence relationships are also quantified to fulfill the integration of structure network. In service layer, the concept of service activity chain (SAC) is presented to fulfill the mapping from structure nodes to service nodes with the advantage of failure tree analysis (FTA). What's more, the provider nodes are also integrated in it. Thereby, once the network is built, the functions of equipment could be warranted effectively by corresponding structures and service execution processes. In the end, a simple case of honing head subassembly of CNC honing machine 2MK2263x200 is studied to verify the feasibility of the proposed method. (C) 2017 The Authors. Published by Elsevier B.V.