EVALUATION OF SAP SYSTEM IMPLEMENTATION IN AN ENTERPRISE OF THE AUTOMOTIVE INDUSTRY – CASE STUDY
Monika KULISZ
m.kulisz@pollub.plLublin University of Technology, Faculty of Management, Department of Organisation of Enterprises, Nadbystrzycka 38, Lublin (Poland)
Abstract
Modern businesses boost management by implementing integrated IT systems, such as highly popular in Poland – SAP software, to aid the enterprise resource planning (ERP). This paper evaluates the implementation of an ERP system at a steel wheel rims manufacturer and distributor. The main research method was questionnaire, conducted at the Logistics & Customer Service department. The data acquired from the conducted research were analysed and processed to evaluate the implemented solution. Areas for improvement were pinpointed and concerned the adjustment of the software solution to the needs of the enterprise.
Keywords:
Enterprise Resource Planning, SAP, system implementation evaluation, improvementReferences
Costin, B., & Cojocaru, D. (2017). Integration of metrology applications in the calibration reservoir suites using SAP Fiori, portal and cloud. A study case. 2017 21st International Conference on System Theory, Control and Computing (ICSTCC) (pp. 297–302). Sinaia: IEEE. https://doi.org/10.1109/ICSTCC.2017.8107050
DOI: https://doi.org/10.1109/ICSTCC.2017.8107050
Google Scholar
Gattiker, T., & Goodhue, D. (2005). What Happens after ERP Implementation: Understanding the Impact of Interdependence and Differentiation on Plant-Level Outcomes. MIS Quarterly, 29(3), 559–585. https://doi.org/10.2307/25148695
DOI: https://doi.org/10.2307/25148695
Google Scholar
Grabot, B., Mayere, A., Lauroua, F., & Houe, R. (2014). ERP 2.0, what for and how? Computers in Industry, 65(6), 976-1000. https://doi.org/10.1016/j.compind.2014.02.017
DOI: https://doi.org/10.1016/j.compind.2014.02.017
Google Scholar
Huang, Y. Y., & Handfield, R. (2015). Measuring the benefits of ERP on supply management maturity model: a “big data” method. International Journal of Operations & Production Management, 35(1), 2–25. doi:10.1108/IJOPM-07-2013-0341
DOI: https://doi.org/10.1108/IJOPM-07-2013-0341
Google Scholar
Jenko, A., & Roblek, M. (2016). A Primary Human Critical Success Factors Model for the ERP System Implementation. Organizacija, 49(3), 145–160. https://doi.org/10.1515/orga-2016-0014
DOI: https://doi.org/10.1515/orga-2016-0014
Google Scholar
Johansson, B., & Ruivo, P. (2013). Exploring Factors for Adopting ERP as SaaS. Procedia Technology, 9, 94–99. https://doi.org/10.1016/j.protcy.2013.12.010
DOI: https://doi.org/10.1016/j.protcy.2013.12.010
Google Scholar
Kahraman, C., Beskese, A., & Kaya, I. (2010). Selection among ERP outsourcing alternatives using a fuzzy multi-criteria decision making methodology. International Journal of Production Research, 48(2), 547-566. https://doi.org/10.1080/00207540903175095
DOI: https://doi.org/10.1080/00207540903175095
Google Scholar
Kale, V. (2000). Implementing SAP™ R/3: The Guide for Business and Technology Managers (1 ed.). Indianapolis: Sams Publishing.
Google Scholar
Kilic, H. S., Zaim, S., & Delen, D. (2015). Selecting “The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5), 2343–2352. https://doi.org/10.1016/j.eswa.2014.10.034
DOI: https://doi.org/10.1016/j.eswa.2014.10.034
Google Scholar
Kłosowski, G. (2013). Cloud Manufacturing Concept as a Tool of Multimodal Manufacturing Systems Integration. Foundations of Management, 4(1), 17–42. https://doi.org/10.2478/fman-2013-0002
DOI: https://doi.org/10.2478/fman-2013-0002
Google Scholar
Kumar, V., Maheshwari, B., & Kumar, U. (2003). An investigation of critical management issues in ERP implementation: emperical evidence from Canadian organizations. Technovation, 23(10), 793–807. https://doi.org/10.1016/S0166-4972(02)00015-9
DOI: https://doi.org/10.1016/S0166-4972(02)00015-9
Google Scholar
Lambert, S., Calvasina, R., Bee, S., & Woodworth, D. (2017). Assembly FG: An Educational Case on MRP II Integrated within ERP. Accounting Perspectives, 16(1), 43–46.
DOI: https://doi.org/10.1111/1911-3838.12136
Google Scholar
Mahendrawathi, E., Zayin, S., & Pamungkas, F. (2017). ERP Post Implementation Review with Process Mining: A Case of Procurement Process. Procedia Computer Science, 124, 216–223. https://doi.org/10.1016/j.procs.2017.12.149
DOI: https://doi.org/10.1016/j.procs.2017.12.149
Google Scholar
Mishra, A., & Mishra, D. (2011). ERP Project Implementation: Evidence from the Oil and Gas Sector. Acta Polytechnica Hungarica, 8(4), 55–74.
Google Scholar
Missbach, M., & Anderson, G. (2016). SAP w 24 godziny. Gliwice: Helion.
Google Scholar
Ngai, E., Law, C., & Wat, F. (2008). Examining the critical success factors in the adoption of enterprise resource planning. Computers in Industry, 59(6), 548–564. https://doi.org/10.1016/j.compind.2007.12.001
DOI: https://doi.org/10.1016/j.compind.2007.12.001
Google Scholar
Olson, D., Johansson, B., & De Carvalho, R. (2018). Open source ERP business model framework. Robotics and Computer-Integrated Manufacturing, 50, 30–36. https://doi.org/10.1016/j.rcim.2015.09.007
DOI: https://doi.org/10.1016/j.rcim.2015.09.007
Google Scholar
Panorama Consulting Solutions. (2017a). Report on ERP Systems & Enterprise Software. Greenwood Village: Panorama Consulting Solutions.
Google Scholar
Panorama Consulting Solutions. (2017b). Top 10 ERP Systems Rankings Report. Greenwood Village: Panorama Consulting Solutions.
Google Scholar
Parthasarathy, S., & Sharma, S. (2016). Efficiency analysis of ERP packages – A customization perspective. Computers in Industry, 82, 19–27. https://doi.org/10.1016/j.compind.2016.05.004
DOI: https://doi.org/10.1016/j.compind.2016.05.004
Google Scholar
Perçin, S. (2008). Using the ANP approach in selecting and benchmarking ERP systems. Benchmarking, 15(5), 630–649. https://doi.org/10.1108/14635770810903196
DOI: https://doi.org/10.1108/14635770810903196
Google Scholar
Ruivo, P., Oliveira, T., & Neto, M. (2015). Using resource-based view theory to assess the value of ERP commercial-packages in SMEs. Computers in Industry, 73, 105–116. https://doi.org/10.1016/j.compind.2015.06.001
DOI: https://doi.org/10.1016/j.compind.2015.06.001
Google Scholar
Sudhaman, P., & Thangavel, C. (2015). Efficiency analysis of ERP projects–software quality perspective. International Journal of Project Management, 33(4), 961–970. https://doi.org/10.1016/j.ijproman.2014.10.011
DOI: https://doi.org/10.1016/j.ijproman.2014.10.011
Google Scholar
Sun, H., Ni, W., & Lam, R. (2015). A step-by-step performance assessment and improvement method for ERP implementation: Action case studies in Chinese companies. Computers in Industry, 68, 40–52. https://doi.org/10.1016/j.compind.2014.12.005
DOI: https://doi.org/10.1016/j.compind.2014.12.005
Google Scholar
Authors
Monika KULISZm.kulisz@pollub.pl
Lublin University of Technology, Faculty of Management, Department of Organisation of Enterprises, Nadbystrzycka 38, Lublin Poland
Statistics
Abstract views: 255PDF downloads: 62
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Monika KULISZ, Aigerim DUISENBEKOVA, Justyna KUJAWSKA, Danira KALDYBAYEVA, Bibigul ISSAYEVA, Piotr LICHOGRAJ, Wojciech CEL, IMPLICATIONS OF NEURAL NETWORK AS A DECISION-MAKING TOOL IN MANAGING KAZAKHSTAN’S AGRICULTURAL ECONOMY , Applied Computer Science: Vol. 19 No. 4 (2023)
- Jerzy JÓZWIK, Magdalena ZAWADA-MICHAŁOWSKA, Monika KULISZ, Paweł TOMIŁO, Marcin BARSZCZ, Paweł PIEŚKO, Michał LELEŃ, Kamil CYBUL, MODELING THE OPTIMAL MEASUREMENT TIME WITH A PROBE ON THE MACHINE TOOL USING MACHINE LEARNING METHODS , Applied Computer Science: Vol. 20 No. 2 (2024)
- Monika KULISZ, Justyna KUJAWSKA, Zulfiya AUBAKIROVA, Gulnaz ZHAIRBAEVA, Tomasz WAROWNY, PREDICTION OF THE COMPRESSIVE STRENGTH OF ENVIRONMENTALLY FRIENDLY CONCRETE USING ARTIFICIAL NEURAL NETWORK , Applied Computer Science: Vol. 18 No. 4 (2022)
Similar Articles
- Robert KARPIŃSKI, Jakub GAJEWSKI, Jakub SZABELSKI, Dalibor BARTA, APPLICATION OF NEURAL NETWORKS IN PREDICTION OF TENSILE STRENGTH OF ABSORBABLE SUTURES , Applied Computer Science: Vol. 13 No. 4 (2017)
- Anusha NALLAPAREDDY, DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE , Applied Computer Science: Vol. 18 No. 1 (2022)
- Tomasz NOWICKI, Adam GREGOSIEWICZ, Zbigniew ŁAGODOWSKI, PRODUCTIVITY OF A LOW-BUDGET COMPUTER CLUSTER APPLIED TO OVERCOME THE N-BODY PROBLEM , Applied Computer Science: Vol. 17 No. 4 (2021)
- Hakan AYDIN, Ahmet SERTBAŞ, CYBER SECURITY IN INDUSTRIAL CONTROL SYSTEMS (ICS): A SURVEY OF ROWHAMMER VULNERABILITY , Applied Computer Science: Vol. 18 No. 2 (2022)
- Konrad PIETRYKOWSKI, Paweł KARPIŃSKI, SIMULATION STUDY OF HYDRODYNAMIC CAVITATION IN THE ORIFICE FLOW , Applied Computer Science: Vol. 18 No. 3 (2022)
- Noor SABAH, Ekhlas HAMEED, Muayed S AL-HUSEINY, OPTIMAL SLIDING MODE CONTROLLER DESIGN BASED ON WHALE OPTIMIZATION ALGORITHM FOR LOWER LIMB REHABILITATION ROBOT , Applied Computer Science: Vol. 17 No. 3 (2021)
- K. Raju, Niranjan N Chiplunkar, PERFORMANCE ENHANCEMENT OF CUDA APPLICATIONS BY OVERLAPPING DATA TRANSFER AND KERNEL EXECUTION , Applied Computer Science: Vol. 17 No. 3 (2021)
- Grzegorz SUCHANEK, Roman FILIPEK, COMPUTATIONAL FLUID DYNAMICS (CFD) AIDED DESIGN OF A MULTI-ROTOR FLYING ROBOT FOR LOCATING SOURCES OF PARTICULATE MATTER POLLUTION , Applied Computer Science: Vol. 18 No. 3 (2022)
- Robert KARPIŃSKI, Józef JONAK, Jacek MAKSYMIUK, MEDICAL IMAGING AND 3D RECONSTRUCTION FOR OBTAINING THE GEOMETRICAL AND PHYSICAL MODEL OF A CONGENITAL BILATERAL RADIO-ULNAR SYNOSTOSIS , Applied Computer Science: Vol. 14 No. 1 (2018)
- Weronika WACH, Kinga CHWALEBA, GAP FILLING ALGORITHM FOR MOTION CAPTURE DATA TO CREATE REALISTIC VEHICLE ANIMATION , Applied Computer Science: Vol. 20 No. 3 (2024)
<< < 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.