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An Integrated Open Approach to Capturing Systematic Knowledge for Manufacturing Process Innovation Based on Collective Intelligence
Because the structure of the world economy has undergone significant changes, with demand for energy saving and environmental protection becoming increasingly urgent [8,9,10], developing countries need to transform and upgrade their manufacturing industries with process innovation to reduce energy c...
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Published in: | Applied sciences 2018-03, Vol.8 (3), p.340 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Because the structure of the world economy has undergone significant changes, with demand for energy saving and environmental protection becoming increasingly urgent [8,9,10], developing countries need to transform and upgrade their manufacturing industries with process innovation to reduce energy consumption and achieve sustainable development; developed countries, accordingly, are trying to guide and accelerate the global return of manufacturing industries by means of process innovation [11,12]. [...]manufacturing process innovation is a cross-industry and interdisciplinary type of complex system engineering, which requires not only domain experts with multidisciplinary knowledge, but also technical or management personnel of manufacturing sites with process know-how [14,19]. [...]our goal in this research work is to construct an open knowledge capture approach, which can obtain structured, formalized, and systematic innovation knowledge from open environments and thus support manufacturing process problem-solving. Problem solving is a complex intellectual activity based on high-order cognition, and innovative problem solving is considered to be the process of overcoming at least one obstacle that impedes the achievement of the desired goal [52]. [...]the problem-solving of process innovation actually mainly includes analysis and formulation of process problems, process conflict extraction and resolution, detailed design of process innovation schemes, and evaluation and optimization of the scheme. |
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ISSN: | 2076-3417 2076-3417 |
DOI: | 10.3390/app8030340 |