Skip to main content

Advertisement

SpringerLink
Log in

The value network optimization research based on the Analytic Hierarchy Process method and the dynamic programming of cloud manufacturing

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Cloud manufacturing has experienced a rapid development in the past several years. The research on its theories, technologies, and applications still keeps attracting attentions from more and more researchers. One of the most important issues to its improvements and quality of manufacturing service is the optimization of value network. This paper researched the optimization method of cloud manufacturing value network based on the Analytic Hierarchy Process (AHP) method and the dynamic programming of business decisions computing model. According to the function of decision-making model, this paper used the AHP and dynamic programming method to establish the mathematical model of cloud manufacturing service value network for seeking the best value chain, and on this basis, established a different model to get the optimal result under the different conditions by time, cost, and resources.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wang T, Guo S, Lee C-G (2014) Manufacturing task semantic modeling and description in cloud manufacturing system. Int J Adv Manuf Technol 71:2017–2031

    Article  Google Scholar 

  2. Slywotzky A (1998) The profit zone [M]. Times Books, Illustrated edition. pp 1-56

  3. Berger S, Sturgeon T, Kurz C (1999) Globalition, value networks and national models. Memorandum prepared for the IPC Globalization meeting

  4. Taljuri S, Baker RC, Sarkis J (1999) A framework for designing efficient value chain networks. Int J Prod Econ 62(1–2):133–144

    Article  Google Scholar 

  5. Carney M (1991) The competitiveness of network production: the role of trust and asset specificity. Comp Econ Organ 35(4):36–40

    Google Scholar 

  6. Kathandaraman P, Wilson DT (2001) The future of competition: value-creating networks. Industrial Marketing Management

  7. Xuan Z (2005) Multinational corporation value network and competitive advantage: group competition based on customer delivered value. China Economic Publishing House, vol 35, no. 5, pp 56–59

  8. Allee V (2008) Value network analysis and value conversion of tangible and intangible assets. J Intellect Cap 1

  9. YuanL, Yi L (2001) Value based network management (I): characteristics and formation. J Ind Eng Manag:201–205

  10. Smith MA, Kumar RL (2004) A theory of application service provider (ASP) use from a client perspective. Inf Manage 41(8):977–1002

    Article  Google Scholar 

  11. Smith AD, Rupp WT (2002) Application service providers (ASP): moving downstream to enhance competitive advantage. Inf Manag Comput Secur 10(2):64–72

    Google Scholar 

  12. Leem CS, Lee HJ (2004) Development of certification and audit processes of application service provider for IT outsourcing. Technovation 24(1):63–71

    Article  Google Scholar 

  13. Walsh KR (2003) Analyzing the application ASP concept: technologies, economies, and strategies. Commun ACM 46(8):103–107

    Article  Google Scholar 

  14. Kern T, Kreijger J, Willcocks L (2002) Exploring ASP as sourcing strategy: theoretical perspectives, propositions for practice. J Strateg Inf Syst 11(2):153–177

    Article  Google Scholar 

  15. Shukla C, Vazquez M, Frank Chen F (1996) Virtual manufacturing: an overview. Comput Ind Eng 31(1):79–82

    Article  Google Scholar 

  16. Wang Q, Yung KL (2001) A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment. IEEE Trans Syst Man Cybern Part C Appl Rev 31(2):79–82

    Google Scholar 

  17. Newman ST, Nassehi A, Xub XW (2008) Strategic advantages of interoperability for global manufacturing using CNC technology. Robot Comput Integr Manuf 24(6):699–708

    Article  Google Scholar 

  18. Tao F, Zhang L, Lu K, Zhao D (2012) Study on manufacturing grid resource service optimal-selection and composition framework. Enterp Inf Syst 6(2):237–264

    Article  Google Scholar 

  19. Tao F, Zhao D, Zhang L (2010) Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system. Knowl Inf Syst 25(1):185–208

    Article  Google Scholar 

  20. Tao F, Zhao D, Hu Y, Zhou Z (2010) Correlation-aware resource service composition and optimal-selection in manufacturing grid. Eur J Oper Res 201(1):129–143

    Article  MATH  Google Scholar 

  21. Tao F, Zhao D, Hu Y, Zhou Z (2008) Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans Ind Inf 4(4):315–327

    Article  Google Scholar 

  22. Tao F, Hu Y, Zhou Z (2009) Application and modeling of resource service trust-QoS evaluation in manufacturing grid system. Int J Prod Res 47(6):1521–1550

    Article  Google Scholar 

  23. Tao F, Zhang L, Nee AYC (2011) A review of the application of grid technology in manufacturing. Int J Prod Res 49(13):4119–4155

    Article  Google Scholar 

  24. Shen W, Haoa Q, Wanga S, Lia Y, Ghenniwac H (2007) An agent-based service-oriented integration architecture for collaborative intelligent manufacturing. Robot Comput Integr Manuf 23(3):315–325

    Article  Google Scholar 

  25. Shen W, Norrie DH (1999) Agent-based systems for intelligent manufacturing: a state-of-the-art survey. Knowl Inf Syst 1:129–156

    Article  Google Scholar 

  26. Yusufa YY, Sarhadib M, Gunasekaran A (1999) Agile manufacturing: the drivers, concepts and attributes. Int J Prod Econ 1:129–156

    Google Scholar 

  27. Gunasekaran A (1999) Agile manufacturing: a framework for research and development. Int J Prod Econ 62(1):87–105

    Article  Google Scholar 

  28. Aurich JC, Schweitzer E, Fuchs C (2007) Life cycle management of industrial product-service systems. Proc Adv Life Cycle Eng Sustain Manuf Bus:171–176

  29. Meier H, Roy R, Seliger G (2011) Industrial product-service systems—IPS2. CIRP Ann Manuf Technol 59(2):607–627

    Article  Google Scholar 

  30. Tao F, Zhang L, Venkatesh VC, Luo Y, Cheng Y (2012) Cloud manufacturing: a computing and service-oriented manufacturing model. Proc Inst Mech Eng B J Eng Manuf 225(10):1969–1976

    Article  Google Scholar 

  31. Tao F, Laili Y, Xu L, Zhang L (2013) FC-PACO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system. IEEE Trans Ind Inf 9(4):2023–2033

    Article  Google Scholar 

  32. Xu X (2012) From cloud computing to cloud manufacturing, robotics and computer-integrated manufacturing. Proc Inst Mech Eng B J Eng Manuf 28(1):75–86

    Google Scholar 

  33. Tao F, Zuo Y, Da Xu L, Zhang L (2014) IoT-Based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Ind Inf 10(2):1547–1552

    Article  Google Scholar 

  34. Liu LL, Yu T, Cao HW, Shi ZB (2004) TQCS-based scheduling approach for manufacturing grid. J Dong Hua Univ (English Edition) 21(6):43–48

    Article  Google Scholar 

  35. Yuan YP, Yu T, Xiong F (2005) QoS-based dynamic scheduling for manufacturing grid workflow. In: Proc. 9th Int. Conf. Computer Supported Cooperative Work in Design (CSCWD 2005), Coventry, U.K., May 24–26, pp 1123–1128

  36. Deng H, Chen L, Wang CT, Deng QN (2006) A grid-based scheduling system of manufacturing resources for a virtual enterprise. Int J Adv Manuf Technol 28(28):137–141

    Google Scholar 

  37. Tao F, Laili YJ, Da Xu L, Zhang L (2013) FC-PARO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system. IEEE Trans Ind Inf 9(4):2023–2030

    Article  Google Scholar 

  38. Zhang Y, Zhang G, Liu Y; Hu D (2015) Research on services encapsulation and virtualization access model of machine for cloud manufacturing. J Intell Manuf, published on line:15.march

  39. Liu A, Li Q, Huang L, Xiao M (2010) FACTS: a framework for fault-tolerant composition of transactional web services. IEEE Trans Serv Comput 3(1):46–59

    Article  Google Scholar 

  40. Baresi L, Bianculli D, Ghezzi C, Guinea S, Spoletini P (2007) Validation of web service compositions. IET Softw 1(6):219–232

    Article  Google Scholar 

  41. Tao F, Zhao DM, Hu YF, Zhou ZD (2008) Resource service composition and its optimal-selection based on swarm optimization in manufacturing grid system. IEEE Trans Ind Inf 4(4):315–327

    Article  Google Scholar 

  42. Xuefen M, Xudong D, Shudong S (2004) Optimization deployment of networked manufacturing resources. Comput Integr Manuf Syst 10(5):523–527

    Google Scholar 

  43. Sheng Y, Chao Y, Fei L et al (2010) Optimal allocation model and its genetic algorithms of outsourcing production resources in multi-task. J Chongqing Univ 33(3):49–55

    Google Scholar 

  44. Jiangguo J, Na X, Fuguo Z et al (2006) Partner selection of agile supply chain based on ant colony optimization algorithm. J Syst Simul 18(12):3377–3379

    Google Scholar 

  45. Wihong S, Yixiong F (2010) Network manufacturing resource optimized allocation for mass customization. J Nanjing Univ Sci Technol: Nat Sci 34(2):238–242

    Google Scholar 

  46. Huang BH, Li CH, Yin C, Tao F (2014) A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system. Enterp Inf Syst 8(4):445–463

  47. Kulvatunyou B, Ivezic N, Lee Y (2014) On enhancing communication of the manufacturing service capability information using reference ontology. Int J Comput Integr Manuf 27(12):1105–1135

  48. Dobrescu G. Yoram Reich Progressive sharing of modules among product variants. 2003(09)

  49. Gulati R, Nohria N, Zaheer A (1999) Strategic networks. Strateg Manag J 21(3):125–157

    Google Scholar 

  50. Porter ME (1990) Competitive advantage of nation. Free Press, New York, pp 77–80

    Book  Google Scholar 

  51. Fan ZP, Jiang YP, Xiao SH (2001) Consistency of fuzzy judgment matrix and its properties. Control Decis 16(1):142–145

    Google Scholar 

  52. Lu YJ (2002) Weight calculation method of fuzzy analytical hierarchy process. Fuzzy Syst Math 16(2):79–85

    Google Scholar 

  53. Xu ZS (2001) Algorithm for priority of fuzzy complementary judgment matrix. J Syst Eng 16(4):311–314

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Mechanical Engineering & Automation, Zhejiang Sci-Tech University, Hangzhou, 310018, People’s Republic of China

    Xinli Wu, Renwang Li & Xiaoyan Qian

  2. College of Mechanical Engineering, Zhejiang University, Hangzhou, People’s Republic of China

    Yanlong Cao

  3. Zhejiang A&F Universiy, Hangzhou, People’s Republic of China

    Yihua Ni

  4. Zhejiang University of Science and Technology, Hangzhou, People’s Republic of China

    Xing Xu

Authors
  1. Xinli Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Renwang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yanlong Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yihua Ni
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xing Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xiaoyan Qian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Renwang Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, X., Li, R., Cao, Y. et al. The value network optimization research based on the Analytic Hierarchy Process method and the dynamic programming of cloud manufacturing. Int J Adv Manuf Technol 84, 425–433 (2016). https://doi.org/10.1007/s00170-015-8198-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-8198-4

Keywords

Search

Navigation