Evaluation of the Risk of Outsourcing Failure Modes Using Interval 2Tuple Linguistic FMEA Model

doi:10.11908/j.issn.0253-374x.2016.02.022

Home > Archive>Volume 44, Issue 2, 2016 >309-316. DOI:10.11908/j.issn.0253-374x.2016.02.022

Evaluation of the Risk of Outsourcing Failure Modes Using Interval 2Tuple Linguistic FMEA Model
DOI:
                        10.11908/j.issn.0253-374x.2016.02.022
                    
CSTR:
                        [cstr]
                    
Author:
                        YOU XiaoyueYOU Xiaoyue
School of Economics and Management, Tongji University, Shanghai 200092, China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
LEI XinghuiLEI Xinghui
School of Economics and Management, Tongji University, Shanghai 200092, China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
LIU HuchenLIU Huchen
School of Economics and Management, Tongji University, Shanghai 200092, China; School of Management, Shanghai University, Shanghai 200444, China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site

                    
Affiliation:
Clc Number:F27
Fund Project:

Article

Figures

Metrics

Reference [27]

Related [20]

Cited by

Materials

Comments

Abstract:

Failure mode and effect analysis (FMEA) is an important quality management and reliability assessment tool. However, the conventional model has some weaknesses when applied in actual situations. In this paper, a new risk priority model using interval 2tuple hybrid weighted distance (ITHWD) measure was proposed to improve the performance of the traditional FMEA. It is shown that the improved model has not only considered the subjective and objective weights of risk factors, but also avoided information distortion and loss. Besides, a case study of tool management was provided to demonstrate the effectiveness of the proposed approach.

Key words:ailure mode and effects analysis (FMEA); distance measure; outsourcing; priority ranking

Reference

[1]尤筱玥, 黄志明. 决策因素分析: 企业非核心业务经营模式的选择[J]. 上海管理科学, 2013, 35(4): 1-4.

[2]Liu, H. C., Liu, L., Liu, N. Risk evaluation approaches in failure mode and effects analysis: A literature review [J]. Expert Systems with Applications, 2013, 40(2): 828-838.

[3]Bowles, J. B., Peláez, C. E. Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis [J]. Reliability Engineering System Safety, 1995, 50(2): 203-213.

[4]Sharma, R. K., Kumar, D., Kumar, P. Systematic failure mode effect analysis (FMEA) using fuzzy linguistic modelling [J]. International Journal of Quality Reliability Management, 2005, 22(9): 986-1004.

[5]崔文彬, 吴桂涛, 孙培廷等. 基于FMEA和模糊综合评判的船舶安全评估[J]. 哈尔滨工程大学学报, 2007, 28(3): 263-267.

[6]吴迪, 王旭. BPI优化方法在服务业应用[J]. 商情, 2014, (1): 175.

[7]尤筱玥, 黄志明. 基于FMEA的业务外包风险评估研究[J]. 上海管理科学, 2014, 36(5): 45-49.

[8]付煜茗. 基于FMEA和FTA的三自由度机械手可靠性分析[J]. 机电产品开发与创新, 2013, 26(6): 8-10.

[9]Silverman, M., Johnson, J.R. FMEA on FMEA [C]. Reliability and Maintainability Symposium (RAMS), 2013 Proceedings-Annual, Orlando: IEEE, 2013: 1-5.

[10]Gargama, H., Chaturvedi, S. K. Criticality assessment models for failure mode effects and criticality analysis using fuzzy logic [J]. IEEE Transactions on Reliability, 2011, 60(1): 102-110.

[11]Pillay, A., Wang, J. Modified failure mode and effects analysis using approximate reasoning [J]. Reliability Engineering System Safety, 2003, 79(1): 69-85.

[12]Wang, Y. M., Chin, K. S., Poon, G. K. K. et al. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean [J]. Expert Systems with Applications, 2009, 36(2): 1195-1207.

[13]Yang, Z., Bonsall, S., Wang, J. Fuzzy rule-based Bayesian reasoning approach for prioritization of failures in FMEA [J]. IEEE Transactions on Reliability, 2008, 57(3): 517-528.

[14]Chang, C. L., Liu, P. H., Wei, C. C. Failure mode and effects analysis using grey theory [J]. Integrated Manufacturing Systems, 2001, 12(3): 211-216.

[15]Liu, H. C., You, J. X., Shan, M. M. et al. Failure mode and effects analysis using intuitionistic fuzzy hybrid TOPSIS approach [J]. Soft Computing, 2014. [published online]

[16]Sankar, N. R., Prabhu, B. S. Modified approach forprioritization of failures in a system failure mode and effects analysis [J]. International Journal of Quality Reliability Management, 2001, 18(3): 324-336.

[17]Chang, D. S., Sun, K. L. P. Applying DEA to enhance assessment capability of FMEA [J]. International Journal of Quality Reliability Management, 2009, 26(6): 629-643.

[18]Song, W., Ming, X., Wu, Z. et al. A rough TOPSIS approach for failure mode and effects analysis in uncertain environments [J]. Quality and Reliability Engineering International, 2014, 30(4): 473-486.

[19]Liu, H. C., Fan, X. J., Li, P. et al. Evaluating the risk of failure modes with extended MULTIMOORA method under fuzzy environment [J]. Engineering Applications of Artificial Intelligence, 2014, 34: 168-177.

[20]Liu, H. C., Li, P., You, J. X. et al. A novel approach for FMEA: Combination of interval 2-tuple linguistic variables and grey relational analysis [J]. Quality and Reliability Engineering International, 2014. [published online]

[21]Chin, K. S., Wang, Y. M., Poon, G. K. K. et al. Failure mode and effects analysis by data envelopment analysis [J]. Decision Support Systems, 2009, 48(1): 246-256.

[22]Herrera, F., Martínez, L. A 2-tuple fuzzy linguistic representation model for computing with words [J]. IEEE Transactions on Fuzzy Systems, 2000, 8(6): 746-752.

[23]Chen, C. T., Tai, W. S. Measuring the intellectual capital performance based on 2-tuple fuzzy linguistic information [C]. In: Proceedings of the 10th annual meeting of Asia Pacific Region of Decision Sciences Institute (APDSI). Taiwan. 2005.

[24]Zhang, H. The multiattribute group decision making method based on aggregation operators with interval-valued 2-tuple linguistic information [J]. Mathematical and Computer Modelling, 2012, 56(1-2): 27-35.

[25]Liu H. C., You J. X. You X. Y. Evaluating the risk of healthcare failure modes using interval 2-tuple hybrid weighted distance measure [J]. Computers Industrial Engineering, 2014, 78: 249-258.

[26]Liu, H. C., Liu, L., Bian, Q. H. et al. Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory [J]. Expert Systems with Applications, 2011, 38(4): 4403-4415.

[27]Liu, H. C., Liu, L., Li, P. Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator [J]. International Journal of Systems Science, 2014, 45(10): 2012-2030.

Get Citation

YOU Xiaoyue, LEI Xinghui, LIU Huchen. Evaluation of the Risk of Outsourcing Failure Modes Using Interval 2Tuple Linguistic FMEA Model[J].同济大学学报(自然科学版),2016,44(2):309~316

Copy

Article Metrics

Abstract:2101
PDF: 1136
HTML: 88
Cited by: 0

History

Received:March 21,2015
Revised:December 01,2015
Adopted:September 07,2015
Online: March 04,2016
Published:

Get Citation

Share

Article Metrics

History

Article QR Code