System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Baozhuang Niu, Kanglin Chen, Huizhong Huang, Yuan Li, Lei Chen


Enterprise Resource Planning (ERP) system is an important investment for manufacturing companies that can affect their competitive advantages and operational performance. However, the implementation of ERP can be a complicated process, where many strategic decisions have to be made. We focus on two critical decisions in ERP implementation: (1) ERP system selection, and (2) ERP operational performance evaluation. For the former, we use Analytic Hierarchy Process (AHP) to design the key performance indicator (KPI) system. For the later, we combine AHP and Fuzzy Integrated Evaluation (FIE) methods to effectively evaluate the implementation of ERP. We use a typical industrial example and data analysis to illustrate our framework.


ERP system selection, ERP performance evaluation, analytic hierarchy process, fuzzy integrated evaluation, manufacturing companies

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Borne P., Popescu D., Filip F. G., Stefanoiu D., Dubuisson B.(2013); Optimization in Engineering Sciences: Exact Methods, John Wiley & Sons, Inc., Hoboken, NJ, USA, 2013.

Elisabeth J. U., Ronald R. H., Umble M. M. (2003); Enterprise resource planning: Implementation procedures and critical success factors, European Journal of Operation Research, 146, 241-257, 2003.

Filip, F. G. (2011); Designing and building modern information systems; A series of decisions to be made, Computer Science Journal of Moldova, 19(2), 119-129, 2011.

Filip F. G. (2014); A decision-making perspective for designing and building information systems, International Journal of Computers Communications & Control, 7(2), 264-272, 2014.

Lai V.S., Wong B.K., Cheung W. (2002); Group decision making in a multiple criteria environment: A case using the AHP in software selection. European Journal of Operational Research, 137(1), 134-144, 2002.

Moriso M., Tsoukias A. (1997); JusWare: A methology for evaluation and selection of software roducts, IEE Proc-Softw. Eng., 144(2), 162-174, 1997.

Nicolaou A. I. (2014); Firm performance effects in relation to the implementation and use of enterprise resource planning systems. J Information System, 18, 79-105, 2014.

O'Leary D. (2000); Enterprise resource planning system: system, life cycle, electronic commerce and risk. New York: Cambridge University Press, 2000.

Panorama Consulting (2014); The 2014 Manufacturing ERP Report. http://panoramaconsulting. com/resource-center/erp-industry-reports/

Panorama Consulting (2014); A Panorama Consulting Solution 204 ERP Research Report.

Poston R., Grabski S. (2001); Financial impacts of enterprise resource planning implementation. Int J Account Inf Syst, 2(4), 271-94, 2001.

Saaty T. L. (1979); Application of analytical hierarchies, Mathematics and Computers in Simulation, 21(1), 1-20, 1979.

Shang, S., Seddon, P. (2002); Assessing and managing the benefits of enterprise system: the business manager's perspective. Information System Journal, 20(12), 271-299, 2002.

Siriginidi S.R. (2000);

Enterprise resource planning in re-engineering business. Business Process Management Journal, 6(5), 376-391, 2000.

Teltumbde A. (2000); A framework of evaluating ERP projects. International Journal of Prodcution Research, 27(8), 12-16, 2000.

Wang Y., Niu B., Guo P. (2013); On the advantage of quantity leadership when outsourcing production to a competitive contract manufacturer. Production and Operations Management, 22 (1), 104-119, 2013.

Zadeh L.A. (1999); Fuzzy logic and the calculi of fuzzy rules, fuzzy graphs, and fuzzy probabilities. Computers & Mathematics with Applications, 37(11-12), 35, 1999.



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INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL (IJCCC), With Emphasis on the Integration of Three Technologies (C & C & C),  ISSN 1841-9836.


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