The role of web-based systems in improving business processes using simulation approach (Case study: Credit card)

Journal of Industrial Engineering International

دوره 17، شماره 2، تیر 2021، صفحه 93-106   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/jiei.2021.1928510.1117

نویسندگان

Asghar Ataee Ghortolmesh¹؛ Abbas Toloie Eshlaghy^{* 1}؛ Alireza Pourebrahimi²

¹Department of Industrial Management, Faculty of Management and Economy, Science and Research Branch, Islamic Azad University, Tehran, Iran.

²Department of Industrial Management, Faculty of Management and Accounting, Islamic Azad University, Karaj, Alborz, Iran.

چکیده

Despite advances in information technology, many banks continue to carry out their business processes in a traditional, paper-based manner, using Internet-based tools can be a reliable and fast way to improve performance. Thus, the purpose of this paper is to investigate the influence of Internet-based systems on the work process using business process simulation. A case study is carried out on the Credit Card process in an Iranian bank. All the components of this process are modeled using the principles of business process simulation, and then it shows how different scenarios can be evaluated. The research reveals that using web-based systems in the process can improve the bank's performance. The results reveal that indicators such as cycle time, waiting time in the operator's queue, and operators’ desirability can all be improved. The data generated in the simulation process can be used in feasibility studies and the eligibility of the TO-BE situation. Also, the structure and approach of the presented method can be adopted in financial services and aid the decision-making process. Although several types of research on business processes and simulation have been presented, they rarely work on real examples with the application of web-based services.

کلیدواژه‌ها

Business Process Management؛ Decision Support System؛ Discrete Event Simulation؛ Banking Service Process؛ Credit Card

مراجع

[1] Safarzadeh, H., & Qureishi, M. (2010). The role of using the business process management system to improve the performance of organizations. Quarterly Journal of Technology G rowth in Iran, 7(26), 47-53.

[2] Cook, S. (1995). Process improvement: a handbook for managers. Aldershot: Gower Publishing.

[3] Islam, S., & Daud Ahmed, M. (2012). Business process improvement of credit card department: case study of a multinational bank. Business Process Management Journal, 18(2), 284-303.

[4] Flanigan, E., & Scott, J. (1995). Process improvement enhancing your organization's effectiveness. Mississauga: crisp Learning.

[5] Alice, R., Giuditta, P., & Cavalieri, S. (2018). Quantitative assessment of service delivery process: application of hybrid simulation modeling, IFAC Papers on Line, 51(11), 1113-1118. https://doi.org/10.1016/j.ifacol.2018.08.454.

[6] Pyzdek, T. (2003). The Six Sigma Handbook: A Complete Guide for Green Belts, Black Belts, and Managers at All Levels. New York: McGraw-Hill.

[7] Sharp, A., & McDermott, P. (2009). Workflow Modeling: Tools for Process Improvement and Applications Development. (2th Ed.). Artech House.
[8] Brailsford, S.C., Eldabi, T., Kunc, M., Mustafee, N., & Osorio, F.A. (2018). Hybrid simulation modeling in operational research: a state-of- the-art review, European Journal of Operational Research, 3(278), 721- 737. https://doi.org/10.1016/j.ejor.2018.10.025.
[9] Dodds, S. (2007). Three wins: Service improvement using value stream design, Lulu.com.
[10] Russo, D., Passacntando, F., Geppert, L., & Manca, L. (2013). Business Process Modeling and Efficiency Improvement through an Agent- Based Approach. Systemic, Cybernetics and Informatics, 11, 1-6.
[11] Alizadeh, L., Noorossana, R. & Raissi, S. (2015). Multi-objective optimization of criminal trial process using descrete event computer simulation and design of experiment. Industrial Management Journal, 7(1), 65-82. https://doi.org/ 10.22059/IMJ.2015.52860.
[12] Gupta, V., Jain, R., Meena, M. L. & Dangayach, G. S. (2018). Six-sigma application in tire-manufacturing company: a case study. Journal of Industrial Engineering International, 14:511–520. https://doi.org/10.1007/s40092-017-0234-6.
[13] García, M., Barcelona, M., Ruiz, M., García-Borgoñón, L., & Ramos, I. (2013). A Discrete-Event Simulation Metamodel for Obtaining Simulation Models from Business Process Models. In: José Escalona M., Aragón G., Linger H., Lang M., Barry C., Schneider C. (eds) Information System Development. Springer, Cham. 307-317. https://doi.org/10.1007/978-3-319-07215-9_25.
[14] Becker, J., Weib, B., & Winkelmann, A. (2010). Transferring a Domain- Specific Semantic Process Modeling Language: Findings from Action Research in the Banking Sector. ECIS 2010 Proceedings. 48. https://aisel.aisnet.org/ecis2010/48.
[15] Market Research Project, Department of Market Research and Programing in the Bank. (2017).
[16] Rosavina, M., Rahadi, R., Mandra, K., Shimaditya, N. & Lidia, M. (2019). P2P lending adoption by SMEs in Indonesia. Qualitative Research in Financial Markets, 11(2), 260-279. https://doi.org/10.1108/QRFM-09-2018-0103.
[17] Chen, Z., Li, K., & He, L. (2020). Has Internet Finance Decreased the Profitability of Commercial Banks? Evidence from China, Emerging Markets Finance and Trade, 56(13), 3015-3032, https://doi.org/ 10.1080/1540496X.2019.1624159.
[18] Chen, Z., Matousek, R., & Wanke, P. (2018). Chinese bank efficiency during the global financial crisis: A combined approach using satisficing DEA and support vector machines. The North American Journal of Economics and Finance. 43, 71–86. https://doi.org/10.1016/j.najef.2017.10.003.
[19] Mathew, B., & Mansharamani, R. (2012). Simulating Business Processes – A Review of Tools and Techniques. International Journal of Modeling and Optimization, 2(4), 417-421.
[20] Noel J. (2005). BPM and SOA: Better together, White Pap IBM.
[21] Karagiannis, D., Ronaghi, F., & Fill, H. (2007). Business-oriented IT management: developing e-business applications with E- BPMS. ICEC. Proceedings of the ninth international conference on
Electronic commerce, 97-100.
[22] Van D. A. W., Dumas M. & Ter H. A. (2005). Process-aware information systems: bridging people and software through process technology. Wiley-Interscience.
[23] Nikolaidou M., Anagnostopoulos D. (2003). Exploring Web-Based Information System Design: A Discrete-Stage Methodology and the Corresponding Model. In: Eder J., Missikoff M. (eds) Advanced Information Systems Engineering. CAiSE 2003. Lecture Notes in Computer Science, 2681. Springer, Berlin, Heidelberg.
[24] Dubyna, M., Zhavoronok, A., Kudlaieva, N. & Lopashchuk, I. (2021). Transformation of Household Credit Behavior in the Conditions of Digitalization of the Financial Services Market. Journal of Optimization in Industrial Engineering, 14(1), 97-.102.
[25] Imanimehr, M., & Abdulakhani, M. (2014). Management of business processes in the banking system. Fourth Electronic Banking Conference in Iran.
[26] Leyer, M., & Hollmann, M. (2014). Introduction of electronic documents: how business process simulation can help. Business Process Management Journal, 20(6), 950-970. http://dx.doi.org/ 10.1108/ BPMJ-05-2013-0062.
[27] Paisittanand, S., & Olson, D. L. (2006). A simulation study of IT outsourcing in the credit card business. European Journal of Operational Research, 175(2), 1248-1261.
[28] Lee, J. M. & Kim, H. J. (2020). Determinants of adoption and continuance intentions toward Internet-only banks, International Journal of Bank Marketing. 38(4), 843-865. https://doi.org/
10.1108/IJBM-07-2019-0269.
[29] Asongu, S., le Roux, S., Nwachukwu, J. & Pyke, C. (2019). Reducing information asymmetry with ICT: A critical review of loan price and quantity effects in Africa, International Journal of Managerial Finance. 15(2), 130-163. https://doi.org/10.1108/IJMF-01-2018-0027.
[30] Raza, S.A., Umer, A., Qureshi, M.A. & Dahri, A.S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model, The TQM Journal, 32(6), 1443- 1466. https://doi.org/10.1108/TQM-02-2020-0019.
[31] Waller, A., Clark, M. & Enstone, L. (2006). L-SIM: Simulating BPMN diagrams with a purpose built engine. Proceedings of the 2006 Winter Simulation Conference, 591-597.
[32] Nikolaidou, M., Anagnostopoulos, D., & Tsalgatidou, A. (2009). Business Processes Modelling and Automation in the Banking Sector: A Case Study. I. J. of Simulation, 2(2), 65-76.
[33] Hughes, E. (2010). Modeling Systems and Resources with SAS Simulation, Studio: AnIntroduction, SAS Global Forum.
[34] Cetinkaya, D., & Verbraeck, A. (2011). Metamodeling and model transformations in modeling and simulation. Proceedings of the 2011 Winter Simulation Conference (WSC), Phoenix, AZ, USA, 3043-3053. https://doi: 10.1109/WSC.2011.6148005.
[35] Law, A. & Kelton, D. (2000). Simulation modeling and analysis. New York: McGraw-Hill.
[36] Van der Aalst WMP. (2015). Business Process Simulation Survival Guide, Handbook on Business Process Management: Introduction, Methods, and Information Systems, Berlin, Heidelberg: Springer Berlin Heidelberg.
[37] Van der Aalst WMP. (2013). Business process management: a comprehensive survey .International Scholarly Research Notices, http://dx.doi.org/10.1155/2013/507984.
[38] Dumas, M., Rosa, M. L., Mendling, J., & Reijers, H. (2013). Fundamentals of business process management (2nd ed.): Springer- Verlag Berlin Heidelberg.
[39] Hofstede, t., van der Aalst WMP, Adams, M., & Russell, N. C. (2010). Modern business process automation: YAWL and its support environment. Berlin: Springer.
[40] Weske, M. (2012). Business Process Management: Concepts, Languages, Architecture. (2th Ed.). Springer-Verlag Berlin Heidelberg. https://doi. 10.1007/978-3-642-28616-2.
[41] Mehrjardi, Y., Khosravi, S., & Hosseini Nasab, H. (2010). Evaluation of ATM performance by simulation. 9th International Management Conference, Iran.
[42] Sajadi, S., & Azimi, P. (2014). Optimizing the number of bank branch equipment with the help of simulation and refrigeration algorithm. Management Research in Iran, 12(18), 65-86.
[43] Taghavifard, M., Dadvand, A., & Aghaei M. (2017). Improvement of Banking Service Process with Simulation and Scenario Approach (Case study: Pasargad Bank). Second International Conference on Industrial Management. 75-105.
[44] Pinha, D.C. & Ahluwalia, R. S. (2019). Flexible resource management and its effect on project cost and duration, Journal of Industrial Engineering International, 15:119–133. https: //doi.org/
10.1007/s40092-018-0277-3.
[45] Yemane, A., Heniey, H., & Gebrehiwet, K. (2021). Performance Measurement and Improvement of Healthcare Service Using Discrete Event Simulation in Bahir Dar Clinic. Journal of Optimization in Industrial Engineering, 14(2), 57-67.
[46] Hamidi, M., Shahanaghi, K., Jabbarzadeh, A., Jahani, E. & Poust, Z. (2017). Determining production level under uncertainty using fuzzy simulation and bootstrap technique, a case study. Journal of Industrial Engineering International, 13:487–497. DOI 10.1007/s40092-017-0194-x.
[47] Hao, T., & Yifei, T. (2011). Study on Queuing System Optimization of Bank Based on BPR. Procedia Environmental Sciences, 10(A), 640- 646. https://doi.org/10.1016/j.proenv.2011.09.103.
[48] Keskar, M.Y. & Pandey, N. (2018). Internet banking: a review (2002– 2016), Journal of Internet Commerce. 17(3), 310-323. https://doi.org/ 10.1080/15332861.2018.1451969.
[49] Gamar, J.J., & Agrawal, B.S. (2017). Business Process Simulation: transformation of BPMN 2.0 to Discrete Event System Specification. International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 10, I. 6, pp. 183-186.
[50] Cho, C., & Lee, S. (2011). A study on process evaluation and selection model for business process management, Expert Systems with Applications, 38, 6339-6350. Htts://doi:10.1016/j.eswa.2010.11.105.
[51] Shin, N., & Jemella, D.F. (2002). Business Process Reengineering and Performance Improvement The case of Chase Manhattan Bank, Business Process Management Journal, 8(4), 351-363, https://doi.org/ 10.1108/14637150210435008.
[52] Jacob, M., Suchan, C., & Ferstl, O.K. (2010). Modeling of Business Systems using Hybrid Simulation: A New Approach, 18th European Conference on Information Systems (ECIS), Paper 6.
[53] Ghorbanian, A., Ostadi, B., & Chaharsooghi, K. (2015). Developing a Hybrid Business Process Model Based on Simulation-Knowledge Management, Management and Administrative Sciences Review, 4(2), 306-324.
[54] Bank's internal guidelines for micro credit and credit cards. (2009 – 2018).
[55] Hoad, K., Robinson, S., & Davies, R. (2010). Automating warm -up length estimation. Journal of the Operational Research Society, 61(9), 1389-1403. https://doi.org/10.1057/jors.2009.87.
[56] Sargent, R. (2013). Verification and validation of simulation models. Journal of Simulation, 7, 12–24. https://doi.org/10.1057/ jos.2012.20.