scholarly journals Process and knowledge management in a collaborative maintenance planning system for high value machine tools

2017 ◽  
Vol 84 ◽  
pp. 14-24 ◽  
Author(s):  
Shan Wan ◽  
Dongbo Li ◽  
James Gao ◽  
Rajkumar Roy ◽  
Yifei Tong
2015 ◽  
Vol 14 (01) ◽  
pp. 1550011
Author(s):  
Nasrullah K. Khilji ◽  
Stephen A. Roberts

This paper explores the theoretical and conceptual frameworks, which are informing discussions about how the local government planning system in the UK can embrace the potential of knowledge management to deliver a smart and sustainable approach to physical and urban planning. The general environment of UK planning is contextualized. A number of frameworks are identified: Planning performance agreements (PPAs model); national planning policy framework (NPPF model); Killian pretty review (KPR model); planning portal (PP model); control shift framework (CSF model); framework for communities and local government (FCLG model); and the Nonaka and Takeuchi knowledge framework (SECI model). The authors propose a pragmatic framework (CMT model) and set this in the context of fieldwork being carried out over a period in five planning authorities in the South East Midlands of the UK. The implementation of such a framework will require a recognition of both social factors and technologies, including the key supportive and preventive factors. The growing availability of technology platforms, familiarity with the digital environment and factors pushing market and organisational change provide opportunities to realise necessary and important changes.


2011 ◽  
Vol 6 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Berend Denkena ◽  
Peter Bluemel ◽  
Stefan Kroening ◽  
Jens Roebbing

Author(s):  
Fumiki Tanaka

Abstract Achieving high performance of machining production systems requires the use of multi-axis machine tools. In order to maximize the performance of multi-axis machine tools, micro process planning for creating machining data is important. Many researches on micro process planning mainly focused on 3-axis machining. As promising approaches among them, a micro process planning system was proposed that reuses actual machining cases and analyzes case data to derive the necessary rules. However, it is not always effective for multi-axis machining, because enough case data are not collected for micro process planning of a specific multi-axis machine tool. In this study, a digital twin of multi-axis machine tool in cyberspace is proposed to collect real and virtual machining case data for micro process planning.


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