By Nan Li, Jianzhong Cha, Yiping Lu, Jia-qing Yu (auth.), Richard Curran PhD, Shuo-Yan Chou PhD, Amy Trappey PhD (eds.)
The famous requirement for developments in Concurrent Engineering for sustainable productiveness enhancement (improved caliber of lifestyles) might be seen certainly. the elemental goal of productiveness enhancement is altering, from essentially looking collaborative company engineered ideas via a extra limited temporary marketplace view. quite, it's watching for a extra expansive really concurrent engineering method of improvement that needs to be followed so that it will synthesize the entire far-reaching specifications and implications in terms of items and their meant operation, provider provision and end-of-life. it truly is already obtrusive during this new century that the will for sustainable improvement is more and more using the industry to arrive for brand new and leading edge suggestions that extra successfully make the most of the assets we've inherited from earlier generations; with the most obvious accountability to destiny generations.
There is a necessity to reconsider the best way we make issues with a view to revise the ‘cradle to grave’ philosophy of the economic revolution, which are seen as an severe relative to nature’s precept of sustainable evolution. Human productiveness and growth will be absolutely engineered and controlled in concord with the supply and wishes of our traditional setting. One century on from the economic revolution, this can be now the time of the sustainable revolution; requiring holistic technological, approach and other people built-in strategies to sustained socio-economic enhancement. it may possibly shock Albert Einstein that he very well encapsulated the character of this ‘evolutionary fight’ whilst he acknowledged: "The global won't evolve earlier its present nation of main issue by utilizing an analogous considering that created the situation".
Collaborative Product and repair existence Cycle administration for a Sustainable Worldgathers jointly papers from the fifteenth ISPE overseas convention on Concurrent Engineering (CE2008), to stimulate the recent considering that's so the most important to our sustained productiveness enhancement and caliber of life.
Read or Download Collaborative Product and Service Life Cycle Management for a Sustainable World: Proceedings of the 15th ISPE International Conference on Concurrent Engineering (CE2008) PDF
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Additional resources for Collaborative Product and Service Life Cycle Management for a Sustainable World: Proceedings of the 15th ISPE International Conference on Concurrent Engineering (CE2008)
It uses predefined rules / statements to ensure the coherent data will be published. This step is not Resolving Collaborative Design Conflicts Through an Ontology-based Approach 15 collaborative, as it does not take into account other proposals, but the one being published. However, as constraint checking is not enough to guarantee data coherence, an OWL reasoning is taken right after it. To illustrate this situation, let’s take an electrical connector as example. : spring, shell, screw, cable, conductor, etc.
Agent-based Collaborative Maintenance Chain for Engineering Asset Management 31 Figure 1. , automatic parking towers and power plants), it is concluded that the current practice of maintenance chain can be improved from four directions, containing daignosis/prognosis, maintenance demand/provide mismatch, spare part overstock, and system/database linkage. 1 Prognosis and Diagnosis In the current practice, prognosis and diagnosis are conducted according to selfmaintained experiential rule bases combined with internal condition monitoring data.
Inside the agencies, designers collaborate to achieve a common design model and ontologies are used to represent such models . At this stage, intra-agency collaboration is done. Once this step is completed, common ontologies obtained there are merged together in a higher level, the inter-agency collaboration one. In this higher level, the common ontology obtained is, then, the final design solution (Figure 1). org/TR/owl-features/ 14 M. Dutra, P. Ghodous and R. Gonçalves Figure 1. Collaboration levels and common ontologies Each expert designs his own model according to his expertise and knowledge skills.