Skip to main content

Distributed Resource Environment: A Cloud-Based Design Knowledge Service Paradigm

  • Chapter
  • First Online:
Cloud-Based Design and Manufacturing (CBDM)

Abstract

Design can be viewed as a knowledge intensive process, which requires more and more collaboration between design resources within and without an enterprise for product innovation. A company’s capacity for product innovation essentially means the ability to discover, use, and manage different kinds of design resources. However, design resources are distributed unevenly within or across organizational boundaries. In order to benefit from the outsourcing of design knowledge within different design resources, with lower costs and within a shorter time, is a great challenge for enterprises. The design knowledge must flow quickly and reliably from when and where it is located to when and where it is needed for design activity. Unfortunately, there are many barriers having a negative influence on quick and reliable knowledge flow between knowledge owners and knowledge demanders. The lack of supporting mechanisms (e.g., a knowledge service platform) between service providers and consumers is one of the barriers. Thus, there is a need to develop mechanisms to overcome the barriers and thereby improve the performance of knowledge flow. This chapter introduces a cloud-based knowledge service environment, i.e., a distributed resource environment, which enables companies to utilize collective open innovation and rapid product development with reduced costs. The definition, function, structure, and characteristics of a distributed resource environment are presented. Then, the concept of a cloud-based knowledge service framework is proposed to organize the knowledge sources in a distributed resource environment. The knowledge sources are composed of design entities’ knowledge cloud and resource units’ knowledge cloud. The former is the knowledge consumer and latter is the knowledge provider in a distributed resource environment. Next, a cloud-based knowledge service framework is presented for the well effective operation of a distributed resource environment. Two agents, i.e., a knowledge service publishing agent (KSPA) and a knowledge service consuming agent (KSCA) are developed to implement the online knowledge service. KSPA can be used by knowledge providers to encapsulate and publish their design knowledge as a service into the service market, whereas KSCA can be used by knowledge consumers to request knowledge service from the service market. Finally, an inner-enterprise distributed resource environment is implemented to verify the proposed knowledge service paradigm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Chen YJ, Chen YM (2009) Development of a distributed product knowledge service system. In: International conference on complex, intelligent and software intensive systems (CISIS2009)

    Google Scholar 

  • Choy KL, Tan KH, Chan FTS (2007) Design of an intelligent supplier knowledge management system—an integrative approach. Proc Inst Mech Eng Part B: J Eng Manuf 221(B2):195–211

    Article  Google Scholar 

  • Ding B, Tu XY, Sun LJ (2012) A cloud-based collaborative manufacturing resource sharing services. Inf Technol J 11(9):1258–1264

    Article  Google Scholar 

  • Li G, Lu H, Ren W (2009) Service-oriented knowledge modeling on intelligent topic map, In: 1st international conference on information science and engineering (ICISE2009), 2009

    Google Scholar 

  • Li X, Zhang Z, Xie Y (2012) The frame-based Knowledge Service Agent. In: Special Workshop: Knowledge as a Service (CSSS 2012)

    Google Scholar 

  • Meng X, Xie Y (2011) Embedded knowledge service in mechanical product development. Int J Adv Manuf Technol 53:669–679

    Article  Google Scholar 

  • Mentzas G, Kafentzis K, Georgolios P (2007) Knowledge services on the semantic web. Commun ACM 50: 53–58

    Google Scholar 

  • Schaefer D, Thames JL, Wellman RD, Wu D, Yim S, Rosen D (2012) Distributed collaborative design and manufacture in the cloud-motivation, infrastructure, and education, In: American society for engineering education annual conference, 2012

    Google Scholar 

  • Tao F, Zhang L, Venkatesh VC, Luo Y, Cheng Y (2011) Cloud manufacturing: a computing and service-oriented manufacturing model. Proc Inst Mech Eng, Part B: J Eng Manuf 225(10):1969–1976

    Article  Google Scholar 

  • Wu D, Thames JL, Rosen DW, Schaefer D (2012) Towards a cloud-based design and manufacturing paradigm: looking backward, looking forward. In: Proceedings of the ASME 2012 international design engineering technical conference and computers and information in engineering conference (IDETC/CIE12)

    Google Scholar 

  • Wu D, Greer MJ, Rosen DW, Schaefer D (2013) Cloud manufacturing: strategic vision and state-of-the-art. J Manuf Syst 32: 564–579 http://dx.doi.org/10.1016/j.jmsy.2013.04.008

  • Wu D, Greer MJ, Rosen DW, Schaefer D (2013) Cloud manufacturing: drivers, current status, and future trends. In: Proceedings of the ASME 2013 international manufacturing science and engineering conference (MSEC13), 2013

    Google Scholar 

  • Wu D, Schaefer D, Rosen DW (2013) Cloud-based design and manufacturing systems: a social network analysis. In: International conference on engineering design (ICED13), 2013

    Google Scholar 

  • Xie YB (1998) Development and application of distributed design resource. Chin Mech Eng 9(2):16–18 (In Chinese)

    Google Scholar 

  • Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86

    Article  Google Scholar 

  • Zhang Q, Cheng L, Boutaba R (2010) Cloud computing: state-of-the-art and research challenges. J Internet Serv Appl 1:7–18

    Article  Google Scholar 

  • Zhuge H, Guo WY (2007) Virtual knowledge service market for effective knowledge flow within knowledge grid. J Syst Softw 80(11):1833–1842

    Article  Google Scholar 

Download references

Acknowledgments

This research is partially supported by the National Natural Science Foundation of China (Grant No. 51205247, 50935004). The Research Project of State Key Laboratory of Mechanical System and Vibration (Grant No.MSVZD201401). The authors are grateful to Mr. Qing Long and Li Xiao for their continuous support throughout our case study. Special thanks to Mr. Reynolds and Dr. Bo Xing for proofreading and improving the quality of this paper. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhinan Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Zhang, Z., Li, X., Liu, Y., Xie, Y. (2014). Distributed Resource Environment: A Cloud-Based Design Knowledge Service Paradigm. In: Schaefer, D. (eds) Cloud-Based Design and Manufacturing (CBDM). Springer, Cham. https://doi.org/10.1007/978-3-319-07398-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07398-9_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07397-2

  • Online ISBN: 978-3-319-07398-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics