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Abstract

Platformization is an important direction for business in the present and future. Platforms with strong flexibility are able to quickly respond to changes in the internal and external environment. So businesses can effectively avoid all kinds of risks and keep steady and sustainable development. The flexibility evaluation of platform organization is the key point to improve the flexibility of the platform enterprise. Based on the international and domestic related research, this paper constructs an evaluation index system of flexibility for platform organization and puts forward a kind of method to evaluate the flexibility of platform organization based on fuzzy linguistic variables. Finally, the feasibility and practicability of the method are verified by a numerical example.

Keywords

Fuzzy linguistic variables platform organization flexibility

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References

Son

Y.K.

and Chan

S.P.

, Economic measure of productivity, quality and flexibility in advanced manufacturing systems, Journal of Manufacturing Systems6(3) (1987), 193–207.

Chatterjee

, Cohen

M.A.

, Maxwell

W.L.

and Miller

L.W.

, Manufacturing Flexibility: Models and Measurements, In Ann Arbor

, Stecke

, Suri

, eds. Proc First ORSA/TIMS Special Interest Conf Flexible Manufacturing Systems Elsevier, Amsterdam, The Netherlands, 1984, pp. 49–64.

Falkner

C.H.

, Flexibility in manufacturing plants, Proceedings of 2nd ORSA/TIMS Conference on Flexible Manufacturing Systems (Michigan, 1986), Elsevier, New York, 1986.

Gupta

, On measurement and valuation of manufacturing flexibility, International Journal of Production Research31(12) (1993), 2947–2958.

Arad

M.B.

and Sipper

, Flexibility and types of changes in FMSs: A timed petri-nets assessment of machine flexibility, The International Journal of Advanced Manufacturing Technology5(4) (1990), 292–306.

Kumar

, Entropic measures of manufacturing flexibility, International Journal of Production Research25(7) (1987), 957–966.

Feng

and Shi

, Complex network theory and its application research on P2P networks, Applied Mathematics and Nonlinear Sciences1(1) (2016), 44–50.

and Zhao

, Overview of current techniques in remote data auditing, Applied Mathematics and Nonlinear Sciences1(1) (2016), 140–153.

Hutchinson

K.G.

and Sinha

, A quantification of the value of flexibility, Journal of Manufacturing Systems8(1) (1989), 47–57.

10.

Wang

and Chen

, Quantitative research on enterprise organizational structure flexibility, Journal of Huazhong University of Science and Technology9 (1997), 93–94.

11.

Wang

and Xie

, Fuzzy query with parameter adjust in Web Database, Computer applications and software22(3) (2005), 45–47.

12.

, Multi-attribute group decision making method based on fuzzy linguistic assessments and linguistic OWA operator, Systems Engineering20(5) (2002), 79–82.

13.

, A method based on linguistic aggregation operators for group decision making with linguistic preference relations ✩, Information Sciences166(1-4) (2004), 19–30.

14.

, Induced uncertain linguistic OWA operators applied to group decision making, Information Fusion7(2) (2006), 231–238.

15.

and Chen

, The maximizing deviation method for group multiple attribute decision making under linguistic environment, Fuzzy Sets & Systems158(14) (2007), 1608–1617.

16.

, Ren

, Jin

, Lan

and Luo

, A satisfaction evaluation method for scenic spot based on linguistic weighted arithmetic average operator, Applied Mathematics & Information Sciences7(6) (2013), 2259–2270.

17.

Gawer

, Bridging differing perspectives on technological platforms: Toward an integrative framework, Research Policy43(7) (2014), 1239–1249.

Research on the flexibility evaluation of platform organization based on fuzzy linguistic variables

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