Journal of Information Systems Engineering and Management

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 4, Article No: 23204
https://doi.org/10.55267/iadt.07.14036

Published Online: 27 Oct 2023

Views: 253 | Downloads: 228

Because of the lack of effective quantitative benefit evaluation methods for applying digital enterprise resource planning systems in supply chain management, this paper proposes a supply chain management benefit evaluation method after implementing the ERP system. This method starts from the two aspects of ERP implementation cost and quantitative income, establishes the evaluation index system of supply chain management benefit, then normalizes each index, uses the Delphi method to determine the weight of each quantitative income, constructs the evaluation model of enterprise supply chain management benefit after ERP implementation, and finally obtains the evaluation score in the form of the ratio of quantitative income to ERP implementation cost. In order to verify the feasibility of the model, the data of CM company from 2015 to 2022 are selected for simulation experiments. The calculated benefit evaluation score is consistent with the actual situation of the company's operation. Therefore, the model can effectively evaluate the benefits of applying digital enterprise resource planning system in supply chain management and provide strong support for enterprise management to plan ERP implementation and follow-up maintenance decision-making.

Enterprise Resource Planning Supply Chain Management Benefit Evaluation Digital Enterprise Resource Planning System

• Chen, L. (2022). Security Modeling of Overseas Asset Management Information System Under International Trade and International Capital Flow in the Era of Big Data. https://doi.org/10.1109/ICAAIC53929.2022.9793194
• Atnafu, D., & Balda, A. (2018). The impact of inventory management practice on firms’ competitiveness and organizational performance: Empirical evidence from micro and small enterprises in Ethiopia. Cogent Business & Management, 5(1), 1503219. https://doi.org/10.1080/23311975.2018.1503219
• ElMesmary, H., & Said, G. A. E.-N. A. (2019). Smart Solutions for Logistics and Supply Chain Management. International Journal of Recent Technology and Engineering (IJRTE), 8(4). https://doi.org/10.35940/ijrte.D7374.118419
• Farah, A., & Jihane, E. C. (2022). The importance of enterprise resource planning (ERP) in the optimisation of the small and medium enterprise's ressources in Morocco. https://doi.org/10.1109/ICOA55659.2022.9934158
• Fela, R. F., Pastor, A., Le Callet, P., Zacharov, N., Vigier, T., & Forchhammer, S. (2022). Perceptual evaluation on audio-visual dataset of 360 content. https://doi.org/10.1109/ICMEW56448.2022.9859426
• Four Strategies For Diagnostic Supply Chain Management. (2023). M2 Presswire.
• Huang, Y. Y., & Handfield, R. B. (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. https://doi.org/10.1108/IJOPM-07-2013-0341
• Chen, H. Y., Wu, H. C., Chen, Y. C., & Hung, K. P. (2021, August). How Solutions Emerged in a System Implementation and Integration Project Led by the Middle Management: A Case Study. https://doi.org/10.1109/SSIM49526.2021.9555205
• Kelle, P., & Akbulut, A. (2005). The role of ERP tools in supply chain information sharing, cooperation, and cost optimization. International Journal of Production Economics, 93-94, 41-52. https://doi.org/10.1016/j.ijpe.2004.06.004
• Koliousis, I., He, Q., Wu, Q., & Sarpong, D. (2022). Using an integrated humanitarian supply chain ERP system to improve refugee flow management: a conceptual framework and validation. Production Planning & Control, 33(6-7), 676-691. https://doi.org/10.1080/09537287.2020.1834134
• Lotfi, Z., Mukhtar, M., Sahran, S., & Zadeh, A. T. (2013). Information Sharing in Supply Chain Management. Procedia Technology, 11(1), 298-304. https://doi.org/10.1016/j.protcy.2013.12.194
• Winter, M., Dopler, S., Müller, J. M., & Zeisler, A. (2023). Information sharing and multi-tier supply chain management of SMEs in the context of Industry 4.0. Procedia Computer Science, 217, 1378-1385. https://doi.org/10.1016/j.procs.2022.12.336
• Menshikova, M. A., Smirnova, P. V., Shtrafina, E. D., & Privalov, V. I. (2021). Integration of CAD and ERP Technologies in the Project Activities of Students of Engineering, Information and Economic Specialties. https://doi.org/10.1109/ITQMIS53292.2021.9642909
• Mohanta, B., & Patnaik, S. (2019). Performance analysis & evaluation of ERP: a case study of Indian small manufacturing enterprises. Retrieved from https://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE08747397
• Nair, J., Reddy, D. B. S., & Samuel, A. A. (2014). Conceptualizing Dimensions of Enterprise Resource Planning Systems Success: A SocioTechnical Perspective. International Journal of Enterprise Information Systems, 10(1), 53-75. https://doi.org/10.4018/ijeis.2014010104
• Santoso, R. W., Siagian, H., Tarigan, Z. J. H., & Jie, F. (2022). Assessing the Benefit of Adopting ERP Technology and Practicing Green Supply Chain Management toward Operational Performance: An Evidence from Indonesia. Sustainability, 14(9), 4944. https://doi.org/10.3390/su14094944
• Stark, M. (2020). APICS Certified in Production and Inventory Management (CPIM). MHD Supply Chain Solutions(5), 50.
• Teittinen, H., Pellinen, J., & Järvenpää, M. (2013). ERP in action—Challenges and benefits for management control in SME context. International Journal of Accounting Information Systems, 14(4), 278-296. https://doi.org/10.1016/j.accinf.2012.03.004
• Telukdarie, A. (2016a). Express deployment Toolset for Manufacturing Systems Enablement. In the 25th International Association for Management of Technology Conference. Orlando, FL, United States.
• Telukdarie, A. (2016b). MES to ERP integration: Rapid deployment toolset. In the 2016 International Conference on Industrial Engineering and Engineering Management. Bali, Indonesia.
• Tenhil, A., & Helki, P. (2015). Performance effects of using an ERP system for manufacturing planning and control under dynamic market requirements. Journal of Operations Management, 36, 147-164. https://doi.org/10.1016/j.jom.2014.05.001
• Timakov, A. A. (2022). Information Flow Control in Software DB Units Based on Formal Verification. Programming and Computer Software, 48(4), 265-285. https://doi.org/10.1134/S0361768822040053
• Yadav, S., Yadav, K., Dhar, R., & Mohan, D. (2023). Synthesis and characterization of thermally evaporated Er-doped SnO2 thin films for photonic applications. Micro and Nanostructures, 174, 207493. https://doi.org/10.1016/j.micrna.2022.207493
• Zhang, Y. (2020). Research on Supply Chain Management Information System of Foreign Trade Enterprises Based on Artificial Intelligence. Journal of Physics: Conference Series, 1684(1), 012015. https://doi.org/10.1088/1742-6596/1684/1/012015

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