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A trust evaluation model towards cloud manufacturing

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Abstract

After cloud manufacturing (CMfg) was put forward as new manufacturing model, the trust evaluation model is a concern by relevant research scholars, in order to ensure transactions in a CMfg system work well and the trust evaluation between transaction entities (ie., resource service providers and consumers) appear crucial. In a CMfg system, in view of the trust issue in resource service transactions, this paper extends the trust evaluation model in the existing related research and proposes a new method and model. In order to make the final trust evaluation values more practical, the proposed method introduces the third-party trust evaluation model based on existing direct and indirect (recommended) trust evaluation models as well as the time decay factor. It also quantifies the fuzzy indexes by using intuitionistic fuzzy sets (IFS). Thereby, the trust evaluation model increases the credibility of service transaction trust evaluation in a CMfg system.

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References

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

    Article  Google Scholar 

  2. Preiss K (1994) Agile manufacturing. Comput Aided Des 26(2):83–84

    Article  MathSciNet  Google Scholar 

  3. Yusuf YY, Sarhadi M, Gunasekaran A (1999) Agile manufacturing: the drivers, concepts and attributes. Int J Prod Econ 62(1):33–43

    Article  Google Scholar 

  4. Ulieru M, Norrie D, Kremer R, Shen W (2000) A multi-resolution collaborative architecture for web-centric global manufacturing. Inf Sci 127(1):3–21

    Article  Google Scholar 

  5. Newman ST, Nassehi A, Xu XW, Rosso RSU Jr, Wang L, Yusof Y, Dhokia V (2008) Strategic advantages of interoperability for global manufacturing using CNC technology. Robot Comput Integr Manuf 24(6):699–708

    Article  Google Scholar 

  6. Tao F, Hu YF, De Zhou Z (2008) Study on manufacturing grid & its resource service optimal-selection system. Int J Adv Manuf Technol 37(9–10):1022–1041

    Article  Google Scholar 

  7. Fan Y, Zhao D, Zhang L, Huang S, Liu B (2004) Manufacturing grid: needs, concept, and architecture, In grid and cooperative computing (pp. 653–656). Springer, Berlin Heidelberg

    Google Scholar 

  8. Flammia G (2001) Application service providers: challenges and opportunities. Intell Syst IEEE 16(1):22–23

    Article  Google Scholar 

  9. 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 

  10. Tao F, Zhang L, Laili YJ (2015) Configurable intelligent optimization algorithms: design and practice in manufacturing [M], Springer, ISBN: 978-3-319-08839-6, 361 Pages

  11. Tao F, Zhang L, Hu Y (2011) Resource services management in manufacturing grid system [M]. Wiley-Scrivener Publishing (Scrivener-Wiley bookstore), ISBN:978-1-118-12231-0, 550 Pages, (in English)

  12. Tao F, Laili YJ, 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 

  13. Tao F, Zuo Y, Xu L, Lv L, Zhang L (2014) Internet of things and BOM based life cycle assessment of energy-saving and emission-reduction of product. IEEE Trans Ind Inf 10(2):1252–1264

    Article  Google Scholar 

  14. Tao F, Laili YJ, Liu YL, Feng Y, Wang Q, Zhang L, Xu L (2014) Concept, principle and application of configurable intelligent optimization algorithm [J]. IEEE Syst J 8(1):28–42

    Article  Google Scholar 

  15. Tao F, Li C, Liao TW, Laili YJ. BGM-BLA: a new algorithm for dynamic migration of virtual machines in cloud computing. IEEE Trans Serv Comput. doi.10.1109/TSC.2015.2416928

  16. 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 

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

    Article  Google Scholar 

  18. Li B-H, Zhang L, Wang S-H, Tao F et al (2010) Cloud manufacturing: a new service-oriented networked manufacturing model [J]. Comput Integr Manuf Syst 16(1):1–7

    Google Scholar 

  19. Tao F, Zuo Y, Xu L, Zhang L (2014) IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Ind Inf 10(2):1547–1557, May 2014

    Article  Google Scholar 

  20. Tao F, Cheng Y, Xu L, Zhang L, Li B (2014) CCIoT-CMfg: cloud computing and Internet of things based cloud manufacturing service system. IEEE Trans Ind Inf 10(2):1435–1442

    Article  Google Scholar 

  21. Tao F, Zhang L, Liu YK, Cheng Y, Wang LH, Xun X (2015) Manufacturing service management in cloud manufacturing: overview and future research directions. J Manuf Sci Eng Trans ASME 137(4):040912-1–040912-11, Aug.2015

    Article  Google Scholar 

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

    Article  Google Scholar 

  23. Li BH, Zhang L, Ren L, Chai XD, Tao F, Luo YL, Zhao X (2011) Further discussion on cloud manufacturing. Comput Integr Manuf Syst 17(3):449–457

    Google Scholar 

  24. Bohu L, Lin Z, Xudong C (2010) Introduction to cloud manufacturing. ZTE Corporation. National Basic Research Program of China, (2007CB310900)

  25. Tao F, Cheng Y, Zhang L, Nee AYC (2015) Advanced manufacturing systems: socialization characteristics and trends. J Intell Manuf. doi:10.1007/s10845-015-1042-8, Accepted on Jan.22, 2015

    Google Scholar 

  26. Li JR, Tao F, Cheng Y, Zhao L (2015) Big data in product data management. Int J Adv Manuf Technol. doi:10.1007/s00170-015-7151-x, Accepted on April.12, 2015

    Google Scholar 

  27. Chen TY, Chen YM, Lin CJ, Chen PY (2010) A fuzzy trust evaluation method for knowledge sharing in virtual enterprises. Comput Ind Eng 59(4):853–864

    Article  Google Scholar 

  28. Mun J, Shin M, Jung M (2011) A goal-oriented trust model for virtual organization creation. J Intell Manuf 22(3):345–354

    Article  Google Scholar 

  29. Chen TY, Chen YM (2009) Advanced multi-phase trust evaluation model for collaboration between coworkers in dynamic virtual project teams. Expert Syst Appl 36(8):11172–11185

    Article  Google Scholar 

  30. Chen TY, Chen YM, Chu HC (2008) Developing a trust evaluation method between co-workers in virtual project team for enabling resource sharing and collaboration. Comput Ind 59(6):565–579

    Article  Google Scholar 

  31. Mun J, Shin M, Lee K, Jung M (2009) Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise. Comput Ind Eng 56(3):888–901

    Article  Google Scholar 

  32. Bharadwaj KK, Al-Shamri MYH (2009) Fuzzy computational models for trust and reputation systems. Electron Commer Res Appl 8(1):37–47

    Article  Google Scholar 

  33. Jin S, Park C, Choi D, Chung K, Yoon H (2005) Cluster-based trust evaluation scheme in an ad hoc network. ETRI J 27(4):465–468

    Article  Google Scholar 

  34. Theodorakopoulos G, Baras JS (2006) On trust models and trust evaluation metrics for ad hoc networks. Sel Areas Commun IEEE J 24(2):318–328

    Article  Google Scholar 

  35. He D, Chen C, Chan S, Bu J, Vasilakos AV (2012) A distributed trust evaluation model and its application scenarios for medical sensor networks. Inf Technol Biomed IEEE Trans 16(6):1164–1175

    Article  Google Scholar 

  36. Shekarpour S, Katebi SD (2010) Modeling and evaluation of trust with an extension in semantic web. Web Semant Sci Serv Agents World Wide Web 8(1):26–36

    Article  Google Scholar 

  37. Schmidt S, Steele R, Dillon TS, Chang E (2007) Fuzzy trust evaluation and credibility development in multi-agent systems. Appl Soft Comput 7(2):492–505

    Article  Google Scholar 

  38. Li X, Zhou F, Yang X (2011) A multi-dimensional trust evaluation model for large-scale P2P computing. J Parallel and Distrib Comput 71(6):837–847

    Article  MATH  Google Scholar 

  39. Azzedin F, Maheswaran M (2002) Towards trust-aware resource management in grid computing systems. In: Cluster computing and the grid, 2002. 2nd IEEE/ACM International Symposium on (pp. 452–452). IEEE

  40. Lewick RJ, Bunker BB (1996) Developing and maintaining trust in work relationships. Trust in organizations: frontiers of theory and reach, 114–139

  41. Marsh SP (1994) Formalising trust as a computational concept

  42. Tao F, Hu Y, Zhao D, Zhou Z (2009) An approach to manufacturing grid resource service scheduling based on trust-QoS. Int J Comput Integr Manuf 22(2):100–111

    Article  Google Scholar 

  43. Zadeh LA (2008) Is there a need for fuzzy logic? Inf Sci 178(13):2751–2779

    Article  MathSciNet  MATH  Google Scholar 

  44. Atanassov KT (2000) Two theorems for intuitionistic fuzzy sets. Fuzzy Sets Syst 110(2):267–269

    Article  MathSciNet  MATH  Google Scholar 

  45. Cheng CH, Lin Y (2002) Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. Eur J Oper Res 142(1):174–186

    Article  MATH  Google Scholar 

  46. Chen TY, Chen YM, Lin CJ, Chen PY (2010) A fuzzy trust evaluation method for knowledge sharing in virtual enterprises. Comput Ind Eng 59(4):853–864

    Article  Google Scholar 

  47. Kaur D, Wilson DA (2004) Trust evaluation within a type-2 fuzzy logic framework. In Fuzzy Systems, 2004. Proceedings. 2004 I.E. International Conference on (Vol. 1, pp. 203–207). IEEE

  48. Tao F, Hu YF, Zhang L (2010) Theory and practice: optimal resource service allocation in manufacturing grid. 1–18

  49. Tao F, Hu YF, Zhou ZD (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 

  50. Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353

    Article  MathSciNet  MATH  Google Scholar 

  51. Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96

    Article  MathSciNet  MATH  Google Scholar 

  52. Kim K, Kim J (2011) Third-party privacy certification as an online advertising strategy: an investigation of the factors affecting the relationship between third-party certification and initial trust. J Interact Mark 25(3):145–158

    Article  Google Scholar 

  53. Shekarpour S, Katebi SD (2010) Modeling and evaluation of trust with an extension in semantic web. Web Semant Sci Serv Agents World Wide Web 8(1):26–36

    Article  Google Scholar 

  54. Sun YL, Yu W, Han Z, Liu KR (2006) Information theoretic framework of trust modeling and evaluation for ad hoc networks. Sel Areas Commun IEEE J 24(2):305–317

    Article  Google Scholar 

  55. Meziane F, Kasiran MK (2008) Evaluating trust in electronic commerce: a study based on the information provided on merchants’ websites. J Oper Res Soc 59(4):464–472

    Article  MATH  Google Scholar 

  56. Wang Y (2011) The research on the P2P trust management model under electronic commerce environment. In Electronics, Communications and Control (ICECC), 2011 International Conference on (pp. 2373–2375). IEEE

  57. Zhang G, Kang J, He R (2005) Towards a trust model with uncertainty for e-commerce systems. In: e-business engineering, 2005. ICEBE 2005. IEEE International Conference on (pp. 200–207). IEEE

  58. Sharifi H, Colquhoun G, Barclay I, Dann Z (2001) Agile manufacturing: a management and operational framework. Proc Inst Mech Eng B J Eng Manuf 215(6):857–869

    Article  Google Scholar 

  59. Chryssolouris G, Mavrikios D, Papakostas N, Mourtzis D, Michalos G, Georgoulias K (2009) Digital manufacturing: history, perspectives, and outlook. Proc Inst Mech Eng B J Eng Manuf 223(5):451–462

    Article  Google Scholar 

  60. Mishra AK (1996) Organizational responses to crisis: the centrality of trust. Trust in organizations: frontiers of theory and research, 261–287

  61. Meyerson D, Weick KE, Kramer RM (1996) Swift trust and temporary groups. Trust in organizations: frontiers of theory and research, 166–195

  62. Koehn D (2003) The nature of and conditions for online trust. J Bus Ethics 43(1–2):3–19

    Article  Google Scholar 

  63. Ellonen R, Blomqvist K, Puumalainen K (2008) The role of trust in organisational innovativeness. Eur J Innov Manag 11(2):160–181

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, People’s Republic of China

    Kai Yan, Ying Cheng & Fei Tao

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  1. Kai Yan
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  2. Ying Cheng
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  3. Fei Tao
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Correspondence to Fei Tao.

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Yan, K., Cheng, Y. & Tao, F. A trust evaluation model towards cloud manufacturing. Int J Adv Manuf Technol 84, 133–146 (2016). https://doi.org/10.1007/s00170-015-8002-5

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