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

Full Text:



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.



  • There are currently no refbacks.

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


***IJCCC is covered by THOMSON REUTERS and is indexed in ISI Web of Science/Knowledge Clarivate: Science Citation Index Expanded. 2016 Journal Citation Reports® Science Edition(Thomson Reuters/Clarivate, 2017): Subject Category: (1) Automation & Control Systems: Q4(2009,2011,2012,2013,2014,2015), Q3(2010, 2016); (2) Computer Science, Information Systems: Q4(2009,2010,2011,2012,2015), Q3(2013,2014, 2016). Impact Factor/3 years in JCR: 0.373(2009), 0.650 (2010), 0.438(2011); 0.441(2012), 0.694(2013), 0.746(2014), 0.627(2015). Impact Factor/5 years in JCR: 0.436(2012), 0.622(2013), 0.739(2014), 0.635(2015), 1.374(2016).

*** IJCCC is also indexed by SCOPUS (SNIP2015= 0.784): Subject Category: (1) Computational Theory and Mathematics: Q4(2009,2010,2012,2015), Q3(2011,2013,2014, 2016); (2) Computer Networks and Communications: Q4(2009), Q3(2010, 2012, 2013, 2015), Q2(2011, 2014, 2016); (3) Computer Science Applications: Q4(2009), Q3(2010, 2011, 2012, 2013, 2014, 2015, 2016). SJR: 0.178(2009), 0.339(2010), 0.369(2011), 0.292(2012), 0.378(2013), 0.420(2014), 0.319(2015), 0.319(2016). CiteScore 2016 in Scopus: 1.06.

IJCCC was founded in 2006,  at Agora University, by  Ioan DZITAC (A. Editor-in-Chief),  Florin Gheorghe FILIP (Editor-in-Chief), and  Misu-Jan MANOLESCU (Managing Editor):

This journal is a member of, and subscribes to the principles of, the Committee on Publication Ethics (COPE).

Ioan  DZITAC (A. Editor-in-Chief) at COPE European Seminar, Bruxelles, 2015:

IJCCC is covered/indexed/abstracted in Science Citation Index Expanded (since vol.1(S),  2006). IF=1.374 in JCR2016.

IJCCC is indexed in Scopus from 2008 (SNIP2015 = 0.78, SJR2015 =0.319):

SCImago Journal & Country Rank


Nomination by Elsevier for Journal Excellence Award Romania 2015 (SNIP2014 = 1.029): Elsevier/ Scopus

IJCCC was nominated by Elsevier for Journal Excellence Award - "Scopus Awards Romania 2015" (SNIP2014 = 1.029).

IJCCC is in Top 3 of 157 Romanian journals indexed by Scopus (in all fields) and No.1 in Computer Science field: Elsevier/ Scopus.

Elsevier:How do you feel about being nominated for Scopus Awards 2015? Interview.