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A study on the collaborative management method of product design cycle knowledge

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Abstract

Because of the ever-increasing market competition and rapidly changing of customers’ requirements, the innovation quality and design efficiency of knowledge-intensive product has become the key factors in business success. The traditional knowledge management method which is based on design reuse and the single categories of design knowledge cannot satisfy these demands any more. Therefore, in order to effectively support the innovative design process of enterprises, a design knowledge collaborative management method based on multi-knowledge migration is proposed. According to the characteristics and functions during the product design process, the design knowledge is divided into three categories, design principle knowledge, design domain knowledge and design object knowledge. By extracting the operation attributes, relation attributes and physical attributes of the design knowledge, a unified knowledge representation model is established for different design participants. The ontology concept and knowledge matrix are used to establish the association between various categories of design knowledge. Multifarious knowledge search methods include keyword, function, principle and natural semantics are proposed for different design participants in different design stages. They can not only realize the knowledge reuse in the same domain but also support the cross-domain knowledge migration among different domain. Finally, based on the system analysis modelling, a design knowledge collaborative platform is established for the design process of mechanical products. A case study is also presented to illustrate the implementation of the platform.

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References

  1. Aitken J, Childerhouse P, Towill D (2003) The impact of product life cycle on supply chain strategy. Int J Prod Econ 85(2):127–140

    Article  Google Scholar 

  2. Al-Hakim L, Kusiak A, Mathew J (2007) Graph-theoretic approach to conceptual design with functional perspectives. Comput Aided Des 32(14):867–875

    Article  Google Scholar 

  3. Barao A, de Vasconcelos JB, Rocha A, Pereira R (2017) A knowledge management approach to capture organizational learning networks. Int J Inf Manag 37(6):735–740

    Article  Google Scholar 

  4. Baxter D, Gao J (2007) An engineering design knowledge reuse methodology using process modeling. Res Eng Des 18(6):37–48

    Article  Google Scholar 

  5. Baxter D, Gao J, Case K, Harding J, Young B, Cochrane S, Dani S (2007) An engineering design knowledge reuse methodology using process modeling. Res Eng Des 18:37–48

    Article  Google Scholar 

  6. Brunetti G, Golob B (2000) A feature-based approach towards an integrated product model including conceptual design information. Comput Aided Design 32(14):877–887

    Article  Google Scholar 

  7. Chen YJ, Chen YM, Chu HC (2009) Development of a mechanism for ontology-based product lifecycle knowledge integration. Expert Syst Appl 36(2):2759–2779

    Article  Google Scholar 

  8. Chen Y-J, Chen Y-M, Chu H-C (2009) Development of a mechanism for ontology-based product lifecycle knowledge integration. Expert Syst Appl 36(9):2759–2779

    Article  Google Scholar 

  9. Fan Y, Xiao Y, Cungen C (2006) Based on the situation and role of emotions, knowledge acquisition and analysis. Comput Eng 32(15):197–199

    Google Scholar 

  10. Fensel D (2002) Ontology-based knowledge management. Computer 35(11):56–59

    Article  Google Scholar 

  11. Goel AK, Vattam S, Wiltgen B (2012) Cognitive, collaborative, conceptual and creative-four characteristics of the next generation of knowledge-based CAD systems: a study in biologically inspired design. Comput Aided Des 44(10):879–900

    Article  Google Scholar 

  12. Gu CC, Hu J, Peng YH, Li S (2012) FCBS model for functional knowledge expression in conceptual design. J Eng Des 23(8):577–596

    Article  Google Scholar 

  13. Hicks BJ, Culley SJ, Allen RD, Mullineux G (2002) A framework for the requirements of capturing, and reusing information and knowledge in engineering design. Int J Inf Manag 22(4):263–280

    Article  Google Scholar 

  14. Huang SH, Xin H, Michael B (2001) Automated knowledge Acquisition for Design and Manufacturing: the case of micro machined atomizer. J Intell Manuf 12:377–397

    Article  Google Scholar 

  15. Jia L, Niandong W, Yi L (2009) Research and implementation of product information model of a virtual maintenance system integrated into CAD, International Conference on Reliability, Maintainability and Safety, p 690–696

  16. Lei C, Xiang B, Xiuzi X, SanYuan Z, Wei B (2008) Ontology-based product knowledge expression and search. J Zhejiang Univ (Engineering Science) 42(12):2037–2042

    Google Scholar 

  17. Li W-q, Li Y, Chen J (2017) Product functional information based automatic patent classification method and experimental studies. Information System 67(7):71–82

    Article  Google Scholar 

  18. Lin H, Fan Y, Huang C (2007) Meta-model based knowledge management in product design. Comput Integr Manuf Syst 13(4):663–667

    Google Scholar 

  19. Lin W, Aiping Z, Xie Y (2012) Case-based knowledge acquisition of product design. J Comput-Aided Design Comput Graph 11(11):1020–1025

    Google Scholar 

  20. Lu SCY, Cai J (2000) STARS: a socio-technical framework for integrating design knowledge over the internet. IEEE Internet Comput 4(5):54–62

    Article  Google Scholar 

  21. Peng G, Wang H, Zhang H, Zhao Y, Johnson AL (2017) A collaborative system for capturing and reusing in-context design knowledge with an integratedrepresentation model. Adv Eng Inform 33(8):314–329

    Article  Google Scholar 

  22. Relich M, Pawlewski P (2018) A case-based reasoning approach to cost stimation of new product development. Neurocomputing 272(10):40–45

    Article  Google Scholar 

  23. Seong D, Suh MS (2012) An integrated modeling approach for raw material management in a steel mill. Prod Plan Control 23(12):922–934

    Article  Google Scholar 

  24. shen B, Da g (2006) Reuse study of Product design knowledge. Computer Engineering 32(18):186–210

    Google Scholar 

  25. Suh S, Huppes G (2005) Methods for life cycle inventory of a product. J Clean Prod 13(7):687–697

    Article  Google Scholar 

  26. Swart J, Kinnie N (2003) Sharing knowledge in knowledge-intensive firms: the influence of the client on HR systems. Hum Resour Manag J 16(3):60–70

    Article  Google Scholar 

  27. Syed Mustapha SMFD (2018) Case-based reasoning for identifying knowledge leader within online community. Expert Syst Appl 97(1):244–252

    Article  Google Scholar 

  28. Tai Y-M (2017) Effectsof product lifecycle management systems on new product development performance. J Eng Technol Manag 46(10):67–83

    Article  Google Scholar 

  29. Tao D, Guo Y, Song M (2016) Person re-identification by dual-regularized KISS metric learning. IEEE Trans Image Process 25(6):2726–2738

    Article  MathSciNet  Google Scholar 

  30. Tsai W, Wu CH (2010) Knowledge combination: a cocitation analysis. Acad Manag J 53(3):441–450

    Article  Google Scholar 

  31. Violante MG, Vezzetti E, Alemanni M (2017) An integrated approach to support the Requirement Management (RM) tool customization for a collaborative scenario. Int J Interact Des Manuf 11(2):191–204

    Article  Google Scholar 

  32. Wen-Qiang LI, Yan LI, Xiong Y, Guang-Lin MA (2009) Organization and application model of design knowledgebased on conception to conception. Comput Integr Manuf Syst 15(6):1062–1070

    Google Scholar 

  33. Wu J, Liu N, Xuan Z (2011) Simulation on knowledge transfer processes from the perspectives of individual’s mentality and behavior. Int J Knowl Systems Sci (IJKSS) 2(4):1–13

    Article  Google Scholar 

  34. YinHong P, Jie H (2007) KBE technology and its application in product design [M]. Shanghai Jiao Tong University Press, Shanghai, p 7

    Google Scholar 

  35. Yu W, Yuan X, Xueyu R (2002) Mechanical product design reuses strategy research. Chin J Mech Eng 38(5):145–148

    Article  Google Scholar 

  36. Zhang WY, Tor SB, Britton GA, Two-level Modeling A (2002) Approach to acquire functional design knowledge in mechanical engineering systems. Int J Adv Manuf Technol 19:454–460

    Article  Google Scholar 

  37. Zhang Y, Ren S, Liu Y, Sakao T, Huisingh D (2017) A framework for Big Data driven product lifecycle management. J Clean Prod 159(8):229–240

    Article  Google Scholar 

  38. Zhao J, Qi Z, De Pablos PO (2014) Enhancing enterprise training performance: perspectives from knowledge transfer and integration. Comput Hum Behav 30:567–573

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 51435011) and the Science & Technology Ministry Innovation Method Program China (Grant No. 2017IM040100).

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Authors and Affiliations

  1. School of Manufacturing Science & Engineering, Sichuan University, Chengdu, 610065, China

    Wen-qiang Li & Yan Li

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  1. Wen-qiang Li
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  2. Yan Li
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Correspondence to Wen-qiang Li.

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Li, Wq., Li, Y. A study on the collaborative management method of product design cycle knowledge. Multimed Tools Appl 77, 27877–27894 (2018). https://doi.org/10.1007/s11042-018-6024-3

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  • DOI: https://doi.org/10.1007/s11042-018-6024-3

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