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Hybrid knowledge model of process planning and its green extension

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Abstract

The green process planning model was a necessary research field of the green manufacturing, which has drawn increasing attention from many scholars. This study proposes a multi-method [Backus–Naur Form (BNF) frame, binary tree,production rules, and objective-oriented methodology] hybrid frame model of process planning and reasoning mechanism. In this model, the hierarchical BNF frame was applied to modeling the structure of parts, the stages of process decisions and the existing green process indicators set. Then, two “procedure” programs were designed for the information exchange among the above models. This green-process planning model was proposed based on the traditional intelligent process planning model and was intended to introduce an overall (compared with the traditional partial green-process planning model) green-process decision mode. In the last section of this paper, a case study of the green-process planning for a stepped shaft is provided along with a number of essential knowledge models to illustrate the feasibility of this hybrid knowledge model.

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Acknowledgments

The authors are grateful to the Technical Editor and all the Reviewers for their valuable and constructive comments. The research is supported by the National Natural Science Foundation of China (NSFC) under Grant No. 51205429, and the National Science and Technology Pillar Program during the 12th Five-year Plan Period of China under Grant No. 2012BAF01B01.

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Correspondence to Hong Wang.

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Lei, Q., Wang, H. & Song, Y. Hybrid knowledge model of process planning and its green extension. J Intell Manuf 27, 975–990 (2016). https://doi.org/10.1007/s10845-014-0928-1

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  • DOI: https://doi.org/10.1007/s10845-014-0928-1

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