A system framework of inter-enterprise machining quality control based on fractal theory

In order to meet the quality control requirement of dynamic and complicated product machining processes among enterprises, a system framework of inter-enterprise machining quality control based on fractal was proposed. In this system framework, the fractal-specific characteristic of inter-enterprise machining quality control function was analysed, and the model of inter-enterprise machining quality control was constructed by the nature of fractal structures. Furthermore, the goal-driven strategy of inter-enterprise quality control and the dynamic organisation strategy of inter-enterprise quality improvement were constructed by the characteristic analysis on this model. In addition, the architecture of inter-enterprise machining quality control based on fractal was established by means of Web service. Finally, a case study for application was presented. The result showed that the proposed method was available, and could provide guidance for quality control and support for product reliability in inter-enterprise machining processes.

[1]  I. Good,et al.  Fractals: Form, Chance and Dimension , 1978 .

[2]  S. C. Soo,et al.  Modeling and fabrication of artistic products based on IFS fractal representation , 2006, Comput. Aided Des..

[3]  Liping Zhao,et al.  Inter-enterprise Multi-processes Quality Dynamic Control Method Based on Processing Network , 2008, ICIRA.

[4]  Ming Dong,et al.  Petri net-based workflow modelling and analysis of the integrated manufacturing business processes , 2005 .

[5]  Frank Leymann,et al.  Identifying influential factors of business process performance using dependency analysis , 2011, Enterp. Inf. Syst..

[6]  Brian J. Sauser,et al.  A framework for investigation into extended enterprise resilience , 2010, Enterp. Inf. Syst..

[7]  Fuqing Zhao,et al.  A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems , 2010, Int. J. Comput. Integr. Manuf..

[8]  Mooyoung Jung,et al.  Conflict detection and resolution for goal formation in the fractal manufacturing system , 2006 .

[9]  Oscar Castillo,et al.  An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory , 2004, Inf. Sci..

[10]  Moustafa Chenine,et al.  Data accuracy assessment using enterprise architecture , 2011, Enterp. Inf. Syst..

[11]  Yiyong Yao,et al.  Minimum quality loss oriented reconfiguration method for inter-enterprise process quality control system , 2008 .

[12]  Chen Ying,et al.  A novel approach of networked manufacturing collaboration: fractal web-based extended enterprise , 2005 .

[13]  Chien-wen Shen,et al.  Business process re-engineering in the logistics industry: a study of implementation, success factors, and performance , 2010, Enterp. Inf. Syst..

[14]  Feng Yang,et al.  Measuring the performance of Internet companies using a two-stage data envelopment analysis model , 2011, Enterp. Inf. Syst..

[15]  Kwangyeol Ryu,et al.  Agent-based fractal architecture and modelling for developing distributed manufacturing systems , 2003 .

[16]  Nicolas Guelfi,et al.  Modelling dependable collaborative time-constrained business processes , 2010, Enterp. Inf. Syst..

[17]  V. S. Ananthanarayana,et al.  Dynamic selection mechanism for quality of service aware web services , 2010, Enterp. Inf. Syst..

[18]  Sameer Kumar,et al.  Challenges with the introduction of radio-frequency identification systems into a manufacturer's supply chain – a pilot study , 2011, Enterp. Inf. Syst..

[19]  Yau-Ren Shiau Inspection Allocation Planning for a Multiple Quality Characteristic Advanced Manufacturing System , 2003 .

[20]  Marten van Sinderen,et al.  Extending enterprise architecture modelling with business goals and requirements , 2011, Enterp. Inf. Syst..

[21]  Liping Zhao,et al.  A Study on inter-enterprise quality control function self-organization reconfiguration based fractal networks , 2007, 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[22]  Wenjun Chris Zhang,et al.  On the principle of design of resilient systems – application to enterprise information systems , 2010, Enterp. Inf. Syst..

[23]  Vicent J. Botti,et al.  Engineering Holonic Manufacturing Systems , 2009, Comput. Ind..

[24]  Walter W.C. Chung,et al.  A framework to develop an enterprise information portal for contract manufacturing , 2002 .

[25]  Dirk Schaefer,et al.  Information requirements analysis for holonic manufacturing systems in a virtual environment , 2011 .

[26]  Liu Xiang,et al.  A Multi-Agent-Based Service-Oriented Architecture for Inter-Enterprise Cooperation System , 2007, 2007 Second International Conference on Digital Telecommunications (ICDT'07).

[27]  S. T. Foster,et al.  On differences in how operations and supply chain managers approach quality management , 2008 .

[28]  Hong Wang,et al.  Study on the evolutionary optimisation of the topology of network control systems , 2010, Enterp. Inf. Syst..

[29]  Fu-Shiung Hsieh,et al.  Collaborative composition of processes in holonic manufacturing systems , 2011, Comput. Ind..

[30]  Kwangyeol Ryu,et al.  Self-reconfigurable software architecture: Design and implementation , 2006, Comput. Ind. Eng..

[31]  Liping Zhao,et al.  Multistage machining processes variation propagation analysis based on machining processes weighted network performance , 2011 .