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Linguistic performance evaluation for an ERP system with link failures. (English) Zbl 1354.90021
Summary: An Enterprise Resource Planning (ERP) system is a complex network composed of various business processes. It can be called an ERP net. This paper proposes an analytic method to evaluate the Linguistic performance of such net under link failure situations. A link failure in an ERP net means that the software or hardware between processes may malfunction. To facility such evaluation, the nodes in the net denote the persons responsible for the business tasks during the processes. The links between nodes denote the process precedence relationships in the ERP system. When the process starts, the documents (jobs) are initiated from the source node to its succeeding nodes. Finally, the documents are released in the destination node. Thus, the performance of an ERP system is related to the document flow under the net. The performance failure of an ERP system is therefore defined by the condition that the document flow of the system is under the acceptable level $$d$$. By using the fuzzy linguistic results of the ERP examination of the users, we propose a fuzzy linguistic performance index, defuzzified from the probability of maximal flow not less than $$d$$, to evaluate the performance of an ERP system. An algorithm is subsequently proposed to generate the performance index under link failure situations, which can be used to real time assess the system performance either before or after the system going live.
##### MSC:
 90B10 Deterministic network models in operations research 90C35 Programming involving graphs or networks 90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
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##### References:
 [1] Al-Mashari, M.; Al-Mudimigh, A.; Zairi, M., Enterprise resource planning: a taxonomy of critical factors, Eur. J. Oper. Res., 146, 352-364, (2003) · Zbl 1012.90533 [2] Amoako-Gyampah, K.; Salam, A. F., An extension of the technology acceptance model in an ERP implementation environment, Inform. Manage., 41, 731-745, (2004) [3] Ball, M. O., Computational complexity of network reliability analysis: an overview, IEEE Trans. Reliab., 35, 230-238, (1986) · Zbl 0602.90061 [4] Chand, D.; Hachey, G.; Hunton, J.; Owhoso, V.; Vasudevan, S., A balanced scorecard based framework for assessing the strategic impacts of ERP systems, Comput. Indust., 56, 558-572, (2005) [5] Chang, I. C.; Hwang, H. G.; Hung, M. C.; Chen, S. L.; Yen, D. C., A neural network evaluation model for ERP performance from SCM perspective to enhance enterprise competitive advantage, Expert Syst. Appl., 35, 1809-1816, (2008) [6] Chen, S. G.; Lin, Y. K., An evaluation method for enterprise resource planning systems, J. Oper. Res. Soc. Jpn., 51, 299-309, (2008) · Zbl 1161.90321 [7] S.G. Chen, Y.K. Lin, Performance analysis for enterprise resource planning systems, in: Proceedings of the 2008 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 2008, pp. 63-67. [8] Dowlatshahi, S., Strategic success factors in enterprise resource-planning design and implementation: a case-study approach, Int. J. Product. Res., 43, 3745-3771, (2005) [9] Ford, L. R.; Fulkerson, D. R., Flows in networks, (1962), Princeton University Press NJ · Zbl 0106.34802 [10] Jones, M. C.; Young, R., ERP usage in practice: an empirical investigation, Inform. Resour. Manage. J., 19, 23-42, (2006) [11] Kosko, B., Fuzzy engineering, (1997), Prentice-Hall Inc. · Zbl 0895.94015 [12] Lin, H. Y.; Lai, K. Y.; Shiau, W. L.; Hsu, P. Y.; Leu, J. D.; Tsai, W. H.; Cheng, M. S.; Fan, Y. W., The evaluation of post implementation ERP investment performance by DEA approach, J. E-Business, 6, 175-191, (2004) [13] Lin, W. T.; Chen, S. C.; Lin, M. Y.; Wu, H. H., A study on performance of introducing ERP to semiconductor related industries in Taiwan, Int. J. Adv. Manuf. Technol., 29, 89-98, (2006) [14] R. Sebastianelli, T.D. Rishel, Some survey results on ERP systems implementation, in: Proceedings - Annual Meeting of the Decision Sciences Institute, Washington, DC, United States, 2003, pp. 547-552. [15] Tsai, W. H.; Fan, Y. W.; Leu, J. D.; Chou, L. W.; Yang, C. C., The relationship between implementation variables and performance improvement of ERP systems, Int. J. Technol. Manage., 38, 350-373, (2007) [16] Wang, H. F., Multicriteria Decision Analysis - From Certainty to Uncertainty, (2005), Tsang Hai Book Publishing Co. Taiwan [17] F. Wu, C. Liu, H.Z. Li, K. Gao, J. Tian, The benefits evaluation of ERP project investment based on real options, in: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 5, Taipei, Taiwan, 2007, pp. 4078-4083. [18] Xue, J., On multistate system analysis, IEEE Trans. Reliab., 34, 329-337, (1985) [19] Yang, C. C.; Lin, W. T.; Pai, F. Y.; Yeh, T. M., The use of fuzzy measures in a performance-evaluation model for ERP implementation among taiwanese semiconductor manufacturers, Int. J. Product. Res., 45, 4735-4752, (2007) · Zbl 1126.90338 [20] Yu, C. S., Causes influencing the effectiveness of the post-implementation ERP system, Indust. Manage. Data Syst., 105, 115-132, (2005)
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