Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Journal of Intelligent Manufacturing

Volumn 27, Issue 2, 2016, Pages 475-486

  Safari, Hossein ^a   Faraji, Zahra ^a   Majidian, Setareh ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Enterprise architecture (EA); Failure mode and effect analysis (FMEA); Fuzzy VIKOR; Risk

Indexed keywords

COMPUTATIONAL LINGUISTICS; DECISION MAKING; FAILURE ANALYSIS; LINGUISTICS; RISKS;

ENTERPRISE ARCHITECTURE; FAILURE MODE AND EFFECT ANALYSIS; FUZZY VIKOR; KNOWLEDGE AND EXPERIENCE; LINGUISTIC VARIABLE; MULTICRITERIA OPTIMIZATION; MULTIPLE ATTRIBUTE DECISION MAKING; RISK PRIORITY NUMBER;

RISK ASSESSMENT;

EID: 84961190731     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-014-0880-0     Document Type: Review

References (63)

1. Achachlouei, M. A. (2010). The concept of enterprise architecture in academic research. Master’s Degree Project Essay, Lund: Lund University.
2. Adão, V. (2007). The maturity of enterprise architecture and challenges to its evolution in the South African private healthcare service industry. Pretoria: University of Pretoria.
3. Agrad, B., & Barajas, M. (2012). The use of fuzzy logic in product family development: Literature review and opportunities. Journal of Intelligent Manufacturing, 23(5), 1445–1462.
4. Barends, D. M., Oldenhof, M. T., Vredenbregt, M. J., & Nauta, M. J. (2012). Risk analysis of analytical validations by probabilistic modification of FMEA. Journal of Pharmaceutical and Biomedical Analysis, 64–65, 82–86.
5. Bernard, S. A. (2012). An introduction to enterprise architecture (3rd ed.). Author House.
6. Bieberstein, N. (2005) Service-oriented architecture (SOA) compass: Business value, planning, and enterprise roadmap. Upper Saddle River, N.J: IBM Press.
7. Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering & System Safety, 50(2), 203–213.
8. Büyüközkan, G., & Ruan, D. (2008). Evaluation of software development projects using a fuzzy multi-criteria decision approach. Mathematics and Computers in Simulation, 77(5–6), 464–475.
9. Carbone, T. A., & Tippett, D. D. (2004). Project risk management using the project risk FMEA. Engineering Management Journal, 16(4), 28–35.
10. Chang, K.-H., & Cheng, C.-H. (2010). A risk assessment methodology using intuitionistic fuzzy set in FMEA. International Journal of Systems Science, 41(12), 1457–1471.
11. Chang, K.-H., & Cheng, C.-H. (2011). Evaluation the risk of failure using the fuzzy OWA and DEMATEL method. Journal of Intelligent Manufacturing, 22(2), 113–129.
12. Chen, W. C., & Chang, H. P. (2012) The application of fuzzy FMEA in the development of new product decision-making—a case study of the solar module industry. Advanced Materials Research, 429, 25–30.
13. Chen, C.-T., Lin, C.-T., & Huang, S.-F. (2006). A fuzzy approach for supplier evaluation and selection in supply chain management. International Journal of Production Economics, 102, 289–301.
14. Chen, L. Y., & Wang, T.-C. (2009). Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR. International Journal of Production Economics, 120(1), 233–242.
15. Chiang, Z. (2009) Developing an online financial decision support module based on fuzzy MCDM method and open source tools. In International conference on information and financial engineering (pp. 22–26). Singapore.
16. Chiozza, M. L., & Ponzetti, C. (2009). FMEA: A model for reducing medical errors. Clinica Chimica Acta, 404, 75–78.
17. Cornelissen, A. M. G., van den Berg, J., Koops, W. J., Grossman, M., & Udo, H. M. J. (2001). Assessment of the contribution of sustainability indicators to. Agriculture, Ecosystems and Environment, 86, 173–185.
18. Davoudi, M. R., & Sheikhvand, K. (2012). An approach towards enterprise architecture analysis using AHP and fuzzy AHP. International Journal of Machine Learning and Computing, 2(1), 46–51.
19. Ebenezer, Alfred, Devadasan, S. R., Sreenivasa, C. G., & Murugesh, R. (2011). Total failure mode and effects analysis in tea industry: A theoretical treatise. Total Quality Management & Business, 22(12), 1353–1369.
20. Ebrahimnejad, S., Mousavi, S. M., Tavakkoli-Moghaddam, R., & Heydard, M. (2012). Evaluating high risks in large-scale projects using an extended VIKOR method under a fuzzy. International Journal of Industrial Engineering Computations, 3, 463–476.
21. Ekmekçioğlu, M., & Can Kutlu, A. (2012). A fuzzy hybrid approach for fuzzy process FMEA: An application to a spindle manufacturing process. International Journal of Computational Intelligence Systems, 5(4), 611–626.
22. Giachetti, R. E. (2012). A flexible approach to realize an enterprise architecture. Procedia Computer Science, 8, 147–152.
23. Huang, Y., Yan Y., & Qiu, Z. W. (2009). Research on supply-chain-based logistics service capability by combination weighting method and fuzzy VIKOR algorithm. In International conference on measuring technology and mechatronics automation.
24. Innerhofer-Oberperfler, F., & Breu, R. (2005). Using an enterprise architecture for it risk management. Innsbruck, Austria: Research Group Quality Engineering Institute of Computer Science – University of Innsbruck Technikerstr.
25. Jonkers, H., Lankhorst, M. M., ter Doest, H. W. L., Arbab, F., Bosma, H., & Wieringa, R. J. (2006). Enterprise architecture: Management tool and blueprint for the organisation. Information Systems Frontiers, 8(2), 63–66.
26. Kumar, P., & Goel, P. (2002). Product quality optimization using fuzzy set concepts: A case study. Quality Engineering, 15(1), 1–8.
27. Kumru, M., & Kumru, Y. (2013). Fuzzy FMEA application to improve purchasing process in a public hospital. Applied Soft Computing, 13(1), 721–733.
28. Kutlu, A. C., & Ekmekçioğlu, M. (2012). Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP. Expert Systems with Applications, 39, 61–67.
29. Lê, L.-S., & Wegmann, A. (2012). Hierarchy-oriented modeling of enterprise architecture using reference-model of open distributed processing. Computer Standards & Interfaces, 35(3), 277–293.
30. Liu, H.-C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40, 828–838.
31. Moeinzadeh, P., & Hajfathaliha, A. (2010). A combined fuzzy decision making approach to. International Journal of Human and Social Sciences, 5(13), 859–875.
32. Narayanagounder, S., & Gurusami, K. (2009). A new approach for prioritization of failure. World Academy of Science, Engineering and Technology, 25, 524–531.
33. Niemi, E., & Tanja, Y. (2006). Defining enterprise architecture risks in business. In Proceedings of the EBRF 2007 conference, Research Forum to Understand Business in Knowledge Society, September 25–27 (pp. 1–15). Jyväskylä, Finland.
34. Oduntan, O. O., & Park, N. (2012). Enterprise viability model: Extending enterprise architecture frameworks for modeling and analyzing viability under turbulence. Journal of Enterprise Transformation, 2, 1–25.
35. Oldenhof, M. T., et al. (2011). Consistency of FMEA used in the validation of analytical procedures. Journal of Pharmaceutical and Biomedical Analysis, 54, 592–595.
36. Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Belgrade, Serbia.
37. Opricovic, S., & Tzeng, G.-H. (2002). Multicriteria planning of post-earthquake sustainable reconstruction. Computer-Aided Civil and Infrastructure Engineering, 17(3), 211–220.
38. Opricovic, S., & Tzeng, G.-H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156(2), 445–455.
39. Opricovic, S., & Tzeng, G.-H. (2007). Extended VIKOR method in comparison with outranking methods. European Journal of Operational Research, 178(2), 514–529.
40. Opricovic, S. (2011). Fuzzy VIKOR with an application to water resources planning. Expert Systems with Applications, 38, 12983–12990.
41. Oraee, K., Yazdani-Chamzini, A., Basiri, M. H. (2011). Evaluating underground mining hazards by fuzzy FMEA. In SME annual meeting & exhibit and CMA 113th national western mining conference “shaping a strong future through mining. Colorado: Denver.
42. Ou Yang, Y.-P., Shieh, H.-M., & Tzeng, G.-H. (2013). A VIKOR technique based on DEMATEL and ANP for information security risk control assessment. Information Sciences, 232(20), 482– 500.
43. Pal, S., & Gauri, S. K. (2010). Multi-response optimization using multiple regression-based weighted signalto-noise ratio (MRWSN). Quality Engineering, 22(4), 336–350.
44. Pang, B., & Bai, S. (2013). An integrated fuzzy synthetic evaluation approach for supplier selection based on analytic network process. Journal of Intelligent Manufacturing, 24(1), 163–174.
45. Ravasizadeh, E., & Kabaranzad, M. R. (2011). Identifying and evaluate e-supply chain. American Journal of Scientific Research, 40, 134–159.
46. Safari, H., Faghih, A., & Fathi, M. R. (2012). Fuzzy multi-criteria decision making method for facility location selection. African Journal of Business Management, 6(1), 206–212.
47. Samantra, C., Datta, S., & Mahapatra, S. S. (2012). Application of fuzzy based VIKOR approach for multi-attribute group decision making (MAGDM): A case study in supplier selection. Decision Making in Manufacturing and Services, 6, 25–39.
48. Sanayei, A., Farid Mousavi, S., & Yazdankhah, A. (2010). Group decision making process for supplier selection with VIKOR under fuzzy environment. Expert Systems with Applications, 37, 24–30.
49. Santos, R. N. C., Laura, M. M. S. C., & Serra, J. P. B. (2012). FMEA of a tailings dam. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 6(2), 89–104.
50. Seyed-Hosseini, S. M., Safaei, N., & Asgharpour, M. J. (2006). Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique. Reliability Engineering & System Safety, 91(8), 872–881.
51. Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. J. (2011). A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160–12167.
52. Sherer, S. A., & Alter, S. (2004). Information system risks and risk factors: Are they mostly about information systems? Communications of the Association for Information Systems, 14, 29–64.
53. Shuja, A. K. (2002). Critical literature review & analysis enterprise architecture: What is it and why should we care?
54. Tse, E. (2009). Risk management on enterprise architecture and system integration. White Paper Collection, www.projectperfect.com.au Page.
55. Uğurlu, S., & Kahraman, C. (2011). Fuzzy multicriteria risk assessment for hazardous waste management: The case of Istanbul. Journal of Risk Analysis and Crisis Response, 1(1), 29–41.
56. Urbaczewski, L., & Mrdalj, S. (2006). A comparison of enterprise architecture frameworks. Issues in Information Systems, 7(2), 18– 23.
57. Wang, T.-C. (2006). Multi-criteria decision analysis by using fuzzy VIKOR. In International conference on service systems and service management (pp. 901–906). Troyes.
58. Wang, T.-C., & Chang, T.-H. (2005). Fuzzy VIKOR as an aid for multiple criteria decision making. Taiwan: Institute of Information Management I-Shou University.
59. Wang, Y.-M., Chin, K.-S., Poon, G. K. K., & Yang, J.-B. (2009). Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean. Expert Systems with Applications, 36, 1195–1207.
60. Yadav, O. P., Singh, N., Goel, P. S., & Itabashi-Campbell, R. (2003). A framework for reliability prediction during product development process incorporating engineering judgments. Quality Engineering, 15(4), 649–662.
61. Zachman, J. A. (1999). A framework for information systems architecture. IBM Systems Journal, 38(2–3), 454–470.
62. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning-I. Information Sciences, 8, 199–249.
63. Zimmermann, H.-J. (2001). Fuzzy set theory and its applications. MA: Kluwer.