Hybrid Integration for Manufacturing Finance: RTR Controls, Intercompany Eliminations, and Auditability Across Multi-ERP Estates
DOI:
https://doi.org/10.63397/ISCSITR-IJEC_03_01_002Keywords:
Record-to-Report (R2R), Multi-ERP integration, Manufacturing finance, Intercompany eliminations, Canonical finance data model, Auditability, FX remeasurement, Transfer pricing, Continuous control monitoringAbstract
Manufacturing groups often operate heterogeneous ERP landscapes after mergers, carve-outs, and regional deployments, fragmenting Record-to-Report (R2R) and weakening auditability. In this paper, it is suggested a hybrid blueprint of integration combining subledger-to-consolidation flows between SAP, Oracle and domestic ERPs without loss of plant autonomy. The architecture brings together API-based connectivity of control-critical events and scheduled batch of high-volume ledgers controlled by an iPaaS/middleware layer and canonical finance data model. Elimination between intercompany is formalized on 3 levels: (i) at the transaction level (composite key: legal entity, counterparty PO/shipment, item/quantity, Incoterms, ship-to, timestamps); (ii) at the end of period netting (transfer-price normalization and FX remeasurement); and (iii) top-side adjustments which are policy-driven and within materiality limits. Evidence of embedded control provides evidence of immutable event IDs, SoD checks, and attestation of approvals, and transformation recipes that are versioned, provides end-to-end lineage and click-through traceability over consolidation balances to subledgers of origin. A reference operating model reflects quantifiable results: the month-end close process is faster through parallelized reconciliations, the number of manual journals is reduced by enriching the processes through rules and exception workflows, the accuracy of elimination is better, and compliance posture is enhanced by continuous control monitoring and tamper-evident logs. The blueprint is production-oriented for July 2022-era estates and designed for phased rollout, enabling brownfield modernization while laying foundations for AI-assisted anomaly detection, predictive close analytics, and optional ledger anchoring for enhanced audit assurance.
References
Mansouri, Y., Prokhorenko, V., & Babar, M. A. (2020). An automated implementation of hybrid cloud for performance evaluation of distributed databases. Journal of Network and Computer Applications, 167, 102740.
Brusa, A., Cavina, N., Rojo, N., Cucchi, M., & Silvestri, N. (2019). Development and Validation of a Control-Oriented Analytic Engine Simulator (No. 2019-24-0002). SAE Technical Paper.
Bajramovic, E. (2019). Secure Logging in Operational Instrumentation and Control Systems (No. INIS-DE--2739). Erlangen-Nürnberg University, Erlangen (Germany). Technische Fakultät.
ERP Timeline of What Has Happened in 2021 and What Can We Expect in 2022, aakit, online. https://aakit.com/erp-timeline-of-what-has-happened-in-2021-and-what-can-we-expect-in-2022/
Overbeek, S., Klievink, B., Hesketh, D., Heijmann, F., & Tan, Y. H. (2011, August). A web-based data pipeline for compliance in international trade. In Proceedings of the 1st Workshop on IT Innovations Enabling Seamless and Secure Supply Chains (WITNESS-2011) in conjunction with the 10th International Electronic Government Conference (Vol. 29, pp. 32-48).
Taniar, D., & Rahayu, W. (2022). Data warehousing and analytics: fueling the data engine. Springer Nature.
Molchin, D. (2021). Secure Integration Transfer to Cloud-based ERP Using ESB Approach.
Ladiges, J., Fay, A., Holm, T., Hempen, U., Urbas, L., Obst, M., & Albers, T. (2017). Integration of modular process units into process control systems. IEEE Transactions on Industry Applications, 54(2), 1870-1880.
Srai, J. S., Kumar, M., Graham, G., Phillips, W., Tooze, J., Ford, S., ... & Tiwari, A. (2016). Distributed manufacturing: scope, challenges and opportunities. International Journal of Production Research, 54(23), 6917-6935.
Roh, J. J., & Hong, P. (2015). Taxonomy of ERP integrations and performance outcomes: an exploratory study of manufacturing firms. Production Planning & Control, 26(8), 617-636.
Liu, X., Sun, Y., Hao, Y., & Xu, J. (2006, June). Research on Group-Oriented Enterprises Resource Planning: A Solution to Multiregional, Heterogeneous and Distributed Group Enterprises Application. In 2006 6th World Congress on Intelligent Control and Automation (Vol. 2, pp. 7186-7190). IEEE.
Susan Parcells CPA, C. G. M. A. (2015). Intercompany transactions snowball: how to cope. Strategic Finance, 96(10), 48.
Heisig, P., Steghöfer, J. P., Brink, C., & Sachweh, S. (2019, April). A generic traceability metamodel for enabling unified end-to-end traceability in software product lines. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 2344-2353).
Su, W., Zhang, L., Ge, C., & Chen, S. (2022). Association between internal control and sustainability: a literature review based on the SOX act framework. Sustainability, 14(15), 9706.
Galvez, C., & Moya-Anegón, F. (2007). Standardizing formats of corporate source data. Scientometrics, 70(1), 3-26.
Gollapudi, S. (2015, February). Aggregating financial services data without assumptions: A semantic data reference architecture. In Proceedings of the 2015 IEEE 9th international conference on semantic computing (IEEE ICSC 2015) (pp. 312-315). IEEE.
Fikri, N., Rida, M., Abghour, N., Moussaid, K., El Omri, A., & Myara, M. (2022). A blockchain architecture for trusted sub-ledger operations and financial audit using decentralized microservices. IEEE Access, 10, 90873-90886.
Koziolek, H., Burger, A., Platenius-Mohr, M., Rückert, J., Abukwaik, H., Jetley, R., & P, A. P. (2020, June). Rule-based code generation in industrial automation: four large-scale case studies applying the cayenne method. In Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Practice (pp. 152-161).
Chiu, J. F., & Chiu, G. M. (2002). Placing forced checkpoints in distributed real-time embedded systems. Computing and Control Engineering, 13(4), 197-205.
Hagen, C., & Alonso, G. (2002). Exception handling in workflow management systems. IEEE Transactions on software engineering, 26(10), 943-958.
Brambilla, M., Ceri, S., Comai, S., & Tziviskou, C. (2005, May). Exception handling in workflow-driven web applications. In Proceedings of the 14th international conference on World Wide Web (pp. 170-179).
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Ramesh Babu Potla (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.