Regional Sustainability, Innovation and Welfare Through an Adaptive Process Model

Author(s):  
Kjell-Erik Bugge ◽  
Bill O’Gorman ◽  
Ian Hill ◽  
Friederike Welter
Author(s):  
Qiang Zhang ◽  
Ioana Deniaud ◽  
Claude Baron ◽  
Emmanuel Caillaud

In this paper, we introduced an activity-based adaptive process model that views innovative design as a complex adaptive system. Instead of predefining the process architecture, we constructed the model framework by adaptively selecting the design activity by the activity value. We defined the activity value as the complexity reduction associated with the possibility of satisfying the design targets and design stages. Moreover, this paper contributes an expert evaluation methodology to evaluate the activity value in order to balance innovation and control. Finally, we applied the model to an industrial case and analyzed the simulation results.


2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Xiao Xu ◽  
Tao Jin ◽  
Zhijie Wei ◽  
Jianmin Wang

Clinical pathways are widely used around the world for providing quality medical treatment and controlling healthcare cost. However, the expert-designed clinical pathways can hardly deal with the variances among hospitals and patients. It calls for more dynamic and adaptive process, which is derived from various clinical data. Topic-based clinical pathway mining is an effective approach to discover a concise process model. Through this approach, the latent topics found by latent Dirichlet allocation (LDA) represent the clinical goals. And process mining methods are used to extract the temporal relations between these topics. However, the topic quality is usually not desirable due to the low performance of the LDA in clinical data. In this paper, we incorporate topic assignment constraint and topic correlation limitation into the LDA to enhance the ability of discovering high-quality topics. Two real-world datasets are used to evaluate the proposed method. The results show that the topics discovered by our method are with higher coherence, informativeness, and coverage than the original LDA. These quality topics are suitable to represent the clinical goals. Also, we illustrate that our method is effective in generating a comprehensive topic-based clinical pathway model.


2009 ◽  
Vol 69-70 ◽  
pp. 446-450 ◽  
Author(s):  
Ding Hua Zhang ◽  
Ying Zhang ◽  
Bao Hai Wu

Due to different datum position and inevitable distortion from the linear friction welding process, the nominal CAD model from the design stage is no longer suitable for the use of the final NC machining, and that is the main problem for precisely machining complex blisk. In this paper, an adaptive machining approach based on adaptive process model for high precision manufacturing of blisk is proposed and developed. Comparing the nominal model with the inspection result, adaptive process model is reconstructed to describe workpiece localization, allowance distribution and composite error compensation for NC machining of blisk accurately. Firstly, the transformation matrix for allowance optimization is searched fleetly by genetic algorithm with constraint conditions. Secondly, using the cross-section curve blending and deformation compensation method, adaptive model for shape distortion is constructed to solve the part-to-part variation machining problem and to realize precision machining for complex geometry blisk. Finally, based on the adaptive process model, tool paths used for the last NC machining process can then be adaptively generated to implement the different processes work. Example shows that the adaptive machining technology of blisk is feasible and the result is of high precision and efficiency.


1979 ◽  
Vol 44 (1) ◽  
pp. 3-30 ◽  
Author(s):  
Carol A. Pruning

A rationale for the application of a stage process model for the language-disordered child is presented. The major behaviors of the communicative system (pragmatic-semantic-syntactic-phonological) are summarized and organized in stages from pre-linguistic to the adult level. The article provides clinicians with guidelines, based on complexity, for the content and sequencing of communicative behaviors to be used in planning remedial programs.


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