Simulation modeling for operations improvement at a leading banking hub
This study focuses on the utilization of simulation software to model the process flow of a banking hub. It is aimed at analyzing whether the management's goal towards a better delivery standard is feasible, and if so, how it could be achieved. Statistical analysis is carried out to ensure tha...
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my-uum-etd.52722015-12-10T01:12:56Z Simulation modeling for operations improvement at a leading banking hub 2005 Jamin, Kong Mat Tahar, Razman Centre for Graduate Studies Pusat Pengajian Siswazah QA71-90 Instruments and machines This study focuses on the utilization of simulation software to model the process flow of a banking hub. It is aimed at analyzing whether the management's goal towards a better delivery standard is feasible, and if so, how it could be achieved. Statistical analysis is carried out to ensure that the model built could represent the actual scenario. Having proved such, an analysis of the current situation is done and weakness identified - enabling determination of whether that the management's goal bound by their defined constraints is feasible or not. Having proven that the goals are not achievable, further studies are carried out using What-If analysis and recommendations on other available options will be presented. Finally, future studies and recommendations on how the study could be better improved shall also be discussed 2005 Thesis https://etd.uum.edu.my/5272/ https://etd.uum.edu.my/5272/1/Jamin%20Kong.pdf text eng validuser https://etd.uum.edu.my/5272/2/Jamin%20Kong_abstract.pdf text eng public masters masters Universiti Utara Malaysia Andel, T (1999). Get it right before it's real. Cleveland, Penton Media, Inc. Arena Contact Center Edition White Paper (2000). Available at http://www.rockwellsoftware.com (accessed on 20 Jan., 2005). Arsham, H., Modeling & Simulation Resources (online). Available at http://home. ubalt.edu/ntsbarsh/Business-stat/RefSim.html. Bedoni, M. (1987). Strategies simulation in an aggregate bank model. European Journal of Operational Research Vol. 30 Issue 1, June 1987, pages 24-29. Bossel, H. (1994), Modeling & Simulation, Wellesley, A.K.Peters Pub. Christiansen, W.A. and Pace R.D. (1997), Limitations on the Business Banking. Journal Of Financial and Strategic Decisions Vol. 10 No. 1 Spring 1997. Dusharme, D. Six Sigma at National Semiconductor (online). Available at http://www.qualitydinest.com/currentmag/articles /O2_article.shtm1 (accessed on 29 Jan., 2005). Kelton, W.D., Sadowski, R.P., Sturrock, T. (2004), Simulation with ARENA, 3rd Edition, New York, Mc-Graw Hill. Law, A.W., Kelton, W.D. (2000), Simulation Modeling and Analysis, 3rd Edition, McGraw-Hill. Maria, A. (1997), Introduction to modeling and simulation. Proceedings of the 1997 Winter Simulation Conference. Peters, B.A., Smith, J.S., Medeiros, D.J. and Rohrer, W.M. eds.(2001). Dow Chemical design for Six Sigma rail delivery project. Proceedings of the 2001 Winter Simulation Conference. Raczynski, S. The Benefits of computer simulation (online). Available at http://www.raczynski.com/pn/ benefits.htm (accessed on 30 Jan., 2005). Sadowski, D.A. and Grabau, M.A. (2000), Tips for Successful Practice of Simulation. Proceedings of the 2000 Winter Simulation Conference. Samu, P. and Jokivuolle, E. (2003). Simulation based stress tests of banks' regulatory capital adequacy. Journal of Banking & Finance Vol. 28, Issue 8, August 2004, pages 1801-1824. Shannon, R.E. (1998), Introduction to the Art and Science of Simulation. Proceedings of the 1998 Winter Simulation Conference. The Society for Modeling Simulation (online). Available at http://www.scs.org (accessed on 18 Jan., 2005). |
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Universiti Utara Malaysia |
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UUM ETD |
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eng eng |
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Mat Tahar, Razman |
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QA71-90 Instruments and machines |
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QA71-90 Instruments and machines Jamin, Kong Simulation modeling for operations improvement at a leading banking hub |
description |
This study focuses on the utilization of simulation software to model the process flow of
a banking hub. It is aimed at analyzing whether the management's goal towards a better delivery standard is feasible, and if so, how it could be achieved. Statistical analysis is carried out to ensure that the model built could represent the actual scenario. Having proved such, an analysis of the current situation is done and weakness identified - enabling determination of whether that the management's goal bound by their defined constraints is feasible or not. Having proven that the goals are not achievable, further studies are carried out using What-If analysis and recommendations on other available options will be presented.
Finally, future studies and recommendations on how the study could be better improved shall also be discussed |
format |
Thesis |
qualification_name |
masters |
qualification_level |
Master's degree |
author |
Jamin, Kong |
author_facet |
Jamin, Kong |
author_sort |
Jamin, Kong |
title |
Simulation modeling for operations improvement at a leading banking hub |
title_short |
Simulation modeling for operations improvement at a leading banking hub |
title_full |
Simulation modeling for operations improvement at a leading banking hub |
title_fullStr |
Simulation modeling for operations improvement at a leading banking hub |
title_full_unstemmed |
Simulation modeling for operations improvement at a leading banking hub |
title_sort |
simulation modeling for operations improvement at a leading banking hub |
granting_institution |
Universiti Utara Malaysia |
granting_department |
Centre for Graduate Studies |
publishDate |
2005 |
url |
https://etd.uum.edu.my/5272/1/Jamin%20Kong.pdf https://etd.uum.edu.my/5272/2/Jamin%20Kong_abstract.pdf |
_version_ |
1747827897318506496 |