By Zude Zhou
ISBN-10: 1605668648
ISBN-13: 9781605668642
The producing has skilled dramatic swap through the years with becoming developments, implementations, and purposes in expertise. production Intelligence for business Engineering: equipment for approach Self-Organization, studying, and variation makes a speciality of the most recent options for constructing, describing, integrating, sharing, and processing clever actions within the strategy of production in engineering. Containing study from prime foreign specialists, this book offers readers with clinical foundations, theories, and key applied sciences of producing intelligence.
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Extra resources for Manufacturing Intelligence for Industrial Engineering: Methods for System Self-organization, Learning, and Adaptation
Example text
The knowledge base and inference engine is independent of each other. Unlike traditional CAPP system generating the process plan while running corresponding programs, CAPPES would visit the knowledge base frequently based on the input product information, search rules that can deal with the current states of parts through knowledge base according to the control strategies of inference engine, and then execute these rules and record conclusion of each executed rule in 37 Knowledge-Based System sequence until the processing of parts reaches an end.
The Task of Knowledge Acquisition Knowledge acquisition is required to extract special knowledge for problem solving from knowledge sources, and convert the knowledge into a form that can be executed by computer. It is not a one-way knowledge accumulation. On the contrary, mutual influences exist between knowledge acquisition and system construction. Knowledge sources are the object of knowledge acquisition, and are varied. They could be books, literatures, domain experts and so on. The most difficult type to obtain is experience knowledge from domain experts.
A traditional CAPP system normally has only two key components: the parts information input module and the process planning module. The process planning module, the core of CAPP system, includes knowledge and decision-making methods for process design. When product information is provided, the system will call the corresponding programs and generate the process plan. When manufacturing environment changes, the system programs need to be amended. This is difficult for users to manage and hence the system thus has limited or poor adaptability.