Abstract
Collaboration is key to foster and leverage business. Management techniques regarding organizational issues involved in collaborative working between partners require special attention. Particularly, Virtual Organizations (VO) have raised as cornerstone to enable intelligent attendance to Collaboration Opportunities (CO). Therefore, the VO concept has emerged as one of the most promising forms of collaboration among companies by providing a way of sharing their costs, benefits and risks, in order to attend particular goals. In general, organizational goals are achieved through management processes, whose result depends on the performance of several areas such as planning, design, development and decision making. Particularly, intelligent decision making can be accomplished using techniques that take into account information regarding indicators on the environment being analysed. Therefore, this chapter elaborates on the decision making using Data Envelopment Analysis (DEA) and Fuzzy Logic on partners’ selection process complying particularly with the risks involved in VO formation process.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Afsarmanesh, H., Camarinha-Matos, L.M.: A framework for management of virtual organization breeding environments. In: Proceedings of the 6th Working Conference on Virtual Enterprises (PRO-VE’05), Valencia, Spain, pp. 35–48 (2005)
Ahmady, N., Azadi, M., Sadeghi, S.A.H., Saen, R.F.: A novel fuzzy data envelopment analysis model with double frontiers for supplier selection. Int. J. Logist.-Res. App. 16(2), 87–98 (2013)
Alawamleh, M., Popplewell, K.: Risk sources identification in virtual organisation. In: Popplewell, K., Harding, J., Poler, R., Chalmeta, R. (eds.) Enterprise Interoperability IV, pp. 265–277. Springer, London (2010). doi:10.1007/978-1-84996-257-5_25
Alawamleh, M., Popplewell, K.: Analysing virtual organisation risk sources: an analytical network process approach. Int. J. Networking Virtual Organ. 10(1), 18–39 (2012)
Alem, S.M., Jolai, F., Nazari-Shirkouhi, S.: An integrated fuzzy dea–fuzzy ahp approach: a new model for ranking decision–making units. Int. J. Oper. Res. 17(1), 38–58 (2013)
Amindoust, A., Shamsuddin, A., Saghafinia, A.: Using data envelopment analysis for green supplier selection in manufacturing under vague environment. In: Advanced Materials Research, vol. 622, pp. 1682–1685. Trans Tech Publications, Switzerland (2013)
Azadeh, A., Alem, S.: A flexible deterministic, stochastic and fuzzy data envelopment analysis approach for supply chain risk and vendor selection problem: Simulation analysis. Expert Syst. Appl. 37(12), 7438–7448 (2010). doi:http://dx.doi.org/10.1016/j.eswa.2010.04.022
Baldo, F., Rabelo, R.J., Vallejos, R.V.: A framework for selecting performance indicators for virtual organisation partners search and selection. Int. J. Prod. Res. 47(17), 4737–4755 (2009)
Camarinha-Matos, L., Afsarmanesh, H.: The virtual enterprise concept. In: Camarinha-Matos, L., Afsarmanesh, H. (eds.) Infrastructures for Virtual Enterprises, IFIP, The International Federation for Information Processing, vol. 27, pp. 3–14. Springer, US (1999)
Camarinha-Matos, L.M., Afsarmanesh, H.: On reference models for collaborative networked organizations. Int. J. Prod. Res. 46(9), 2453–2469 (2008)
Camarinha-Matos, L.M., Afsarmanesh, H., Galeano, N., Molina, A.: Collaborative networked organizations – concepts and practice in manufacturing enterprises. Comput. Ind. Eng. 57(1), 46–60 (2009). doi:http://dx.doi.org/10.1016/j.cie.2008.11.024
Charnes, A., Cooper, W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)
Chen, Y.C., Chiu, Y.H., Huang, C.W., Tu, C.H.: The analysis of bank business performance and market risk–applying fuzzy DEA. Econ. Model. 32(0), 225–232 (2013). doi:http://dx.doi.org/10.1016/j.econmod.2013.02.008
Cooper, W.W., Seiford, L.M., Tone, K.: Introduction to Data Envelopment Analysis and Its Uses: With Dea-Solver Software and References. Springer, New York (2005)
Cooper, W.W., Seiford, L.M., Zhu, J.: Handbook on Data Envelopment Analysis. Springer, US (2011)
Dikmen, I., Birgonul, M.T., Han, S.: Using fuzzy risk assessment to rate cost overrun risk in international construction projects. Int. J. Project Manage. 25(5), 494–505 (2007)
Ericson, C.A., et al.: Hazard Analysis Techniques for System Safety. Wiley, New York (2005)
Esposito, E., Evangelista, P.: Investigating virtual enterprise models: literature review and empirical findings. Int. J. Prod. Econ. 148, 145–157 (2014)
Fathi, N., Izadikhah, M.: Evaluation of decision making units in the presence of fuzzy and non-discretionary. Appl. Math. Sci. 7(25–28), 1387–1392 (2013)
Fei, L., Zhixue, L.: A fuzzy comprehensive evaluation for risk of virtual enterprise. In: 10th International Conference on Internet Technology and Applications, Corfu, Greece, pp. 1–4 (2010)
Grabowski, M., Roberts, K.H.: Risk mitigation in virtual organizations. J. Comput.-Mediat. Commun. 3(4), 704–721 (1998)
Hajiagha, S.H.R., Akrami, H., Zavadskas, E.K., Hashemi, S.S.: An intuitionistic fuzzy data envelopment analysis for efficiency evaluation under uncertainty: case of a finance and credit institution. E M Ekon. Manag. 16(1), 128–137 (2013)
Hatami-Marbini, A., Saati, S., Tavana, M.: Data envelopment analysis with fuzzy parameters: an interactive approach. Int. J. Oper. Res. Inf. Syst. 2(3), 39–53 (2011)
Huang, M., Wang, X., Lu, F.Q., Bi, H.L.: A coordination of risk management for supply chains organized as virtual enterprises. Math. Probl. Eng. 2013 (2013). doi:http://dx.doi.org/10.1155/2013/931690
Junior, O.C.A., Rabelo, R.J.: A KPI model for logistics partners’ search and suggestion to create virtual organisations. Int. J. Networking Virtual Organ. 12(2), 149–177 (2013)
Jüttner, U.: Supply chain risk management: understanding the business requirements from a practitioner perspective. Int. J. Logist. Manag. 16(1), 120–141 (2005)
Khalili-Damghani, K., Taghavifard, B.: Sensitivity and stability analysis in two–stage dea models with fuzzy data. Int. J. Oper. Res. 17(1), 1–37 (2013)
Liang, M.Z.A., Mustafa, A.: Fuzzy interpretation of efficiency in data envelopment analysis and its application in a non-discretionary model. Knowl.-Based Syst. 49(0), 145–151 (2013). doi:http://dx.doi.org/10.1016/j.knosys.2013.05.001
Li, Y., Liao, X.: Decision support for risk analysis on dynamic alliance. Decis. Support Syst. 42(4), 2043–2059 (2007)
March, J.G., Shapira, Z.: Managerial perspectives on risk and risk taking. Manage. Sci. 33(11), 1404–1418 (1987)
Markovits-Somogyi, R.: Ranking efficient and inefficient decision making units in data envelopment analysis. Int. J. Traffic and Transp. Eng. 1(4), 245–256 (2011)
Min, H., Xue-Jing, W., Lu, F., Xing-Wei, W.: Multi-strategies risk programming for virtual enterprise based on ant colony algorithm. In: Proceedings of the 1st International Conference on Industrial Engineering and Engineering Management, Singapore, pp. 407–411 (2007)
Mirhedayatian, M., Jelodar, M., Adnani, S., Akbarnejad, M., Saen, R.: A new approach for prioritization in fuzzy ahp with an application for selecting the best tunnel ventilation system. Int. J. Adv. Manuf. Technol. 68(9–12), 2589–2599 (2013). doi:10.1007/s00170-013-4856-6
Montgomery, D.C., Runger, G.C.: Applied Statistics and Probability for Engineers. Wiley, Hoboken, NJ (2011)
Moskowitz, H., Bunn, D.: Decision and risk analysis. Eur. J. Oper. Res. 28(3), 247–260 (1987)
Mowshowitz, A.: Virtual organization. Commun. ACM 40(9), 30–37 (1997). doi:10.1145/260750.260759
Mugera, A.W.: Measuring technical efficiency of dairy farms with imprecise data: a fuzzy data envelopment analysis approach. Aust. J. Agr. Resour. Econ. 57(4), 501–520 (2013). doi:10.1111/1467-8489.12008
Paszkiewicz, Z., Picard, W.: Modelling competences for partner selection in service-oriented virtual organization breeding environments. arXiv preprint arXiv:1111.5502 (2011)
Payan, A., Shariff, M.: Scrutiny malmquist productivity index on fuzzy data by credibility theory with an application to social security organizations. J. Uncertain. Syst. 7(1), 36–49 (2013)
Puri, J., Yadav, S.P.: A concept of fuzzy input mix-efficiency in fuzzy DEA and its application in banking sector. Expert Syst. Appl. 40(5), 1437–1450 (2013). doi:http://dx.doi.org/10.1016/j.eswa.2012.08.047
Rhee, S.J., Ishii, K.: Using cost based fmea to enhance reliability and serviceability. Adv. Eng. Inform. 17(3), 179–188 (2003)
Roychowdhury, S., Pedrycz, W.: A survey of defuzzification strategies. Int. J. Intell. Syst. 16(6), 679–695 (2001)
Rychlik, I., Rydén, J.: Probability and Risk Analysis: An Introduction for Engineers. Springer, New York (2006)
Saati, S., Hatami-Marbini, A., Tavana, M., Agrell, P.J.: A fuzzy data envelopment analysis for clustering operating units with imprecise data. Int. J. Uncertain. Fuzz Knowl.-Based Syst. 21(01), 29–54 (2013)
Saaty, T.L.: Decision making—the analytic hierarchy and network processes (AHP/ANP). J. Syst. Sci. Syst. Eng. 13(1), 1–35 (2004)
Sari, B., Sen, T., Kilic, S.: AHP model for the selection of partner companies in virtual enterprises. Int. J. Adv. Manuf. Technol. 38(3–4), 367–376 (2008)
Tavakkoli-Moghaddam, R., Mahmoodi, S.: Finding a common set of weights by the fuzzy entropy compared with data envelopment analysis–a case study. Int. J. Ind. Eng. Prod. Res. 21 (2010)
Tavana, M., Shiraz, R.K., Hatami-Marbini, A., Agrell, P.J., Paryab, K.: Chance-constrained DEA models with random fuzzy inputs and outputs. Knowl.-Based Syst. 52(0), 32–52 (2013). doi:http://dx.doi.org/10.1016/j.knosys.2013.05.014
Vieira, R.G., Junior, O.C.A., Fiorese, A.: A risk analysis method for selecting service providers in P2P service overlay networks. In: Proceedings of the 16th International Conference on Enterprise Information Systems, Lisboa, Portugal, pp. 200–211 (2014)
Vose, D.: Risk Analysis: A Quantitative Guide. Wiley, New York (2008)
Wang, L.X.: A Course in Fuzzy Systems and Control. Prentice-Hall Inc, Upper Saddle River (1997)
Wang, Y.F., Yan, H.S.: A fuzzy DEA/AR method for manufacturing mode selection. Adv. Mater. Res. 694, 3618–3625 (2013)
Wang, Y.M., Chin, K.S., Poon, G.K.K., Yang, J.B.: Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Syst. Appl. 36(2), 1195–1207 (2009)
Yager, R.R., Zadeh, L.A.: An introduction to fuzzy logic applications in intelligent systems. Springer, New York (1992)
Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965). doi:http://dx.doi.org/10.1016/S0019-9958(65)90241-X
Zhou, S.J., Zhang, Z.D., Li, Y.C.: Research of real estate investment risk evaluation based on fuzzy data envelopment analysis method. In: Proceedings of the 2008 International Conference on Risk Management&Engineering Management, ICRMEM ‘08, IEEE Computer Society, Washington, DC, USA, pp. 444–448 (2008). doi:10.1109/ICRMEM.2008.113
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
de Lemos, F.S.B., Fiorese, A., Junior, O.C.A., Vieira, R.G. (2015). Using Data Envelopment Analysis and Fuzzy Logic as Intelligent Risk-Based Decision Making Support for Virtual Organizations. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-17906-3_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-17905-6
Online ISBN: 978-3-319-17906-3
eBook Packages: EngineeringEngineering (R0)