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Service-oriented manufacturing is a new manufacturing paradigm and it has appeared in large-scale enterprise clusters over the past few years. In this situation, the increasing service demands from production processes have led to more enterprise collaborations. And the more collaborations among different enterprises have led to the generation of a service-oriented enterprise collaboration network. The purpose of this article is to investigate the clustering characteristics of a service-oriented enterprise collaboration network through an integrating analytic hierarchy process and complex network theory. First, the concept of service-oriented manufacturing is introduced and a logical architecture for implementing the modeling and analyzing of a service-oriented enterprise collaboration network is put forward. Then, the authors establish a topology model of a service-oriented enterprise collaboration network and use an analytic hierarchy process method to estimate the network weights among different manufacturing or service enterprises. Next, service-oriented manufacturing blocks are illustrated and an improved genetic algorithm is adopted to find the optimal blocks. To verify the feasibility and rationality of the proposed method, finally, a case study is presented. It is expected that a reasonable decision of cross-enterprise collaborations and layout would be provided in the present study.
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Stored only when both papers are in the corpus — 46 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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