System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption
AbstractEnterprise 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.
 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. https://doi.org/10.1016/S0377-2217(02)00547-7
 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. https://doi.org/10.15837/ijccc.2012.2.1408
 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. https://doi.org/10.1016/s0377-2217(01)00084-4
 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. https://doi.org/10.2308/jis.2004.18.2.79
 O'Leary D. (2000); Enterprise resource planning system: system, life cycle, electronic commerce and risk. New York: Cambridge University Press, 2000. https://doi.org/10.1017/CBO9780511805936
 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. http://Panorama-Consulting.com/resource-center/2014-erp-report/.
 Poston R., Grabski S. (2001); Financial impacts of enterprise resource planning implementation. Int J Account Inf Syst, 2(4), 271-94, 2001. https://doi.org/10.1016/s1467-0895(01)00024-0
 Saaty T. L. (1979); Application of analytical hierarchies, Mathematics and Computers in Simulation, 21(1), 1-20, 1979. https://doi.org/10.1016/0378-4754(79)90101-0
 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. https://doi.org/10.1046/j.1365-2575.2002.00132.x
 Siriginidi S.R. (2000);
Enterprise resource planning in re-engineering business. Business Process Management Journal, 6(5), 376-391, 2000. https://doi.org/10.1108/14637150010352390
 Teltumbde A. (2000); A framework of evaluating ERP projects. International Journal of Prodcution Research, 27(8), 12-16, 2000. https://doi.org/10.1080/00207540050205262
 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. https://doi.org/10.1111/j.1937-5956.2012.01336.x
 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. https://doi.org/10.1016/s0898-1221(99)00140-6
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.