Development of a hybrid methodology (MCDM) for ERP system selection (Case study: Mahan Airlines) | Revista Publicando
Development of a hybrid methodology (MCDM) for ERP system selection (Case study: Mahan Airlines)
PDF (EN)

Cómo citar

Ali, & Mohammadali. (2018). Development of a hybrid methodology (MCDM) for ERP system selection (Case study: Mahan Airlines). Revista Publicando, 5(15(2), 1180-1196. Recuperado a partir de https://revistapublicando.org/revista/index.php/crv/article/view/1429

Resumen

Increasing importance of software systems for organizations converted organization resources systems into one of the main priorities for companies. The aim of organization resources planning systems is to integrate, synchronize and concentrate. Usually, ERP are considered as vital tools to be successful in rapidly changing global markets for companies. Due to its high acquisition, selection of ERP systems is important and difficult decision and since there is a vast tangible and intangible criteria which shall be considered, it is often decided as multifaceted nature of problem. Due to varying nature of problem, in this research, a three stages hybrid methodology is suggested. This process started with identification of most prevalent criteria and then because of importance of variables, fuzzy analytic hierarchical process is applied to obtain importance and relative weighed criteria. Then, the weighted criteria are used as inputs for ranking priorities by similarity with ideal solution to rank decision alternatives. The proposed methodology is suggested as a descriptive method in real world in order to select ERP systems in Mahan airlines. Because of collaborative and systematic nature of methodology, this process is highly satisfactory and trustworthy for decision makers.

PDF (EN)

Citas

A. Ahi, M.B. Aryanezhad, B. Ashtiani, A. Makui, A novel approach to determine cell formation, intracellular machine layout and cell layout in the CMS problem based on TOPSIS method, Computers & Operations Research 36 (5) (2009) 1478–1496.

A. Deep, P. Guttridge, S. Dani, N. Burns, Investigating factors affecting ERP selection in made-to-order SME sector, Journal of Manufacturing Technology Management 19 (4) (2008) 430–446

A. Hakim, H. Hakim, A practical model on controlling the ERP implementation risks, Information Systems 35 (2010) 204–214.

Abozar V.N., (2017), hybrid fuzzy hierarchical analytic method and Fuzzy TOPSIS to select suppliers (case study: advertisement company), engineering and modelling magazine, 229-217.

Aguilar-Cruz. F. & Perez-Mendoza. J. S. (2017). Movilidad Social en Mexico. La educacion como indicador de desarrollo y calidad de vida. Opcion, vol. 33, No. 84 (2017): 664-697.

B. Baki, K. í‡akar, Determining the ERP package-selecting criteria: the case of Turkish manufacturing companies, Business Process Management Journal 11 (1) (2005) 75–86.

C. Doom, K. Milis, S. Poelmans, E. Bloemen, Critical success factors for ERP implementations in Belgian SMEs, Journal of Enterprise Information Management 23 (3) (2010) 378–406.

C. Kahraman, Ä°. Kaya, A fuzzy multicriteria methodology for selection among energy alternatives, Expert Systems with Applications 37 (9) (2010) 6270–6281.

C.L. Hwang, K. Yoon, Multiple Attributes Decision Making Methods & Applications, Springer, New York, 1981.

D. Aloini, R. Dulmin, V. Mininno, Risk management in ERP project introduction:review of the literature, Information & Management 44 (2007) 547–567.

D.-Y. Chang, Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research 95 (1996) 649–655.

Dehshrii S,J (2016), select ERP system by Yesorava And Gray Aras method, information technology magazine, 103-73

E.E. Karsak, C.O. í–zogul, An integrated decision making approach for ERP system selection, Expert Systems with Applications 36 (2009) 660–667.

Estdelal , M., (2013), selection ERP system, the first national seminar on new strategies in computer engineering and information retrieval

F.T. Bozbura, A. Beskese, C. Kahraman, Prioritization of human capital measurement indicators using fuzzy AHP, Expert Systems with Applications 32 (2007) 1100–1112.

Farhangi A. (2015), discuss the effect if implementation of ERP systems on organization, case study: Ministry of economic affairs and economic magazine, 34-5

H. Forslund, P. Jonsson, Selection, implementation and use of ERP systems for supply chain performance management, Industrial Management & Data Systems 110 (8) (2010) 1159–1175.

H.S. Kilic, A fuzzy AHP based performance assessment system for the strategic plan of Turkish Municipalities, International Journal of Business and Management Studies 3 (2) (2011) 77–86.

Tahmassebpour, M., Otaghvari, A. (2016). Increase Efficiency Big Data in Intelligent Transportation System with Using IoT Integration Cloud. Journal of Fundamental and Applied Sciences. Vol. 8 (3S), pp. 2443-2461.

H.S. Kilic, An integrated approach for supplier selection in multi-item/multi-supplier environment, Applied Mathematical Modelling 37 (14–15) (2013) 7752–7763.

Mehdi Mafi, Habib Azizi, Hamidreza Yazdizadeh Alborz, “A new Model of Free Global Positioning System using Triple DME,” International Research Journal of Engineering and Technology, vol. 4, issue 8, Aug. 2017.

H.S. Kilic, E. Cevikcan, A hybrid weighting methodology for performance assessment in Turkish municipalities, Communications in Computer and Information Science 300 (2012) 354–363.

H.S. Kilic, E. Cevikcan, Job selection based on fuzzy AHP: an investigation including the students of Istanbul Technical University Management Faculty, International Journal of Business and Management Studies 3 (1) (2011) 173–182.

Ä°. ErtuÄŸrul, N. KarakaÅŸoglu, Performance evaluation of Turkish cement firms with fuzzy analytic hierarchy process and TOPSIS methods, Expert Systems with Applications 36 (1) (2009) 702–715.

J.J. Buckley, Fuzzy hierarchical analysis, Fuzzy Sets Systems 17 (1) (1985) 233–247.

Tahmassebpour, M. (2016). Performance Evaluation and Scalability of IP-based and Heuristic-based Job Scheduling Algorithm Backup Systems. Indian Journal of Science and Technology. Vol. 9 (26).

Llontop. R. G. & Gonzales. C. O. (2017). Imaginarios sociales en estudiantes de educacion sobre la calidad de la formacion investigative. Opcion, vol. 33, No. 84 (2017): 759-790.

M. Al-Mashari, Enterprise resource planning (ERP) systems: a research agenda, Industrial Management & Data Systems 102 (3) (2002) 165–170.

M. Behzadian, S.K. Otaghsara, M. Yazdani, J. Ignatius, A state-of the-art survey of TOPSIS applications, Expert Systems with Applications 39 (17) (2012) 13051–13069.

Mohebbi A.R (2014), multi-stages method for ERP systems, organizational resource planning, 18-11

Mehdi Mafi, “A Hierarchical Model of ICT in Digital Society to Access Information,” Canadian Journal on Electrical and Electronics Engineering, vol. 3, issue 7, 2012, pp. 366-374.

O. Kilincci, S.A. Onal, Fuzzy AHP approach for supplier selection in a washing machine company, Expert Systems with Applications 38 (2011) 9656–9664.

Peng, W.X., Wang, L.S., Mirzaee, M., Ahmadi, H., Esfahani, M.J & Fermaux, S (2017). Hydrogen and syngas production by catalytic biomass gasification. Energy Conversion and Management. Volume 135, 1 March 2017, Pages 270-273

S. Finney, M. Corbett, ERP implementation: a compilation and analysis of critical success factors, Business Process Management Journal 13 (3) (2007) 329–347.

S.-W. Chou, Y.-C. Chang, The implementation factors that influence the ERP (Enterprise Resource Planning) benefits, Decision Support Systems 46 (2008) 149–157.

Mehdi Mafi, “Integration of Mobile Ad hoc and WIMAX Networks with Approach of Admission Control and Hand off Combination Applied in Telemedicine Services,” American Journal of Scientific Research, vol. 83, 2012, pp. 14-24.

Seray M.D, (2015), apply hierarchical analytic method and TOPSIS technique to determine weighted value of criterions and agriculture sustainability, Danesh Kehsvarzi Magazine and sustainable agriculture, 157-145

Descargas

La descarga de datos todavía no está disponible.