COMPARATIVE ANALYSIS OF CASE-TOOLS FOR LABORATORY INFORMATION SYSTEMS IN THE MINING INDUSTRY
DOI:
https://doi.org/10.33003/fjs-2026-1004-4811Keywords:
LIMS, CASE tools, Process modelling, Laboratory business processes, Mining industryAbstract
LIMS (Laboratory Information Management System) in the mining industry must support the entire cycle of laboratory processes, from sample collection, registration and tracking to analytical testing, calculation of ore quality indicators and generation of regulated reports. The system must ensure integration with the enterprise's corporate information circuits (ERP, MES, SCADA), support the requirements of ISO 9001 and ISO/IEC 17025 standards, and guarantee the reliability, integrity and traceability of data. In these conditions, the use of CASE tools becomes particularly important, as they enable initial process modelling, formalisation of laboratory business processes, documentation of system architecture, requirements and change management, and automatic generation of project documentation. CASE tools should provide visual process description (BPMN/UML/IDEF), bottleneck analysis, simulation modelling of laboratory workload, performance evaluation, as well as support for versioning and change control.This study aims to provide a comparative analysis of modern CASE tools in terms of their applicability for the design and implementation of LIMS in the mining industry. The functional capabilities, ease of modelling, integration mechanisms, support for standards, scalability, and cost-effectiveness of the solutions are evaluated. The results of the analysis allow us to justify the choice of the optimal tool for developing a reliable, manageable laboratory information system that meets industry requirements.
References
Burbank, D. &. (2011). Data modeling made simple with CA ERwin Data Modeler R8. New Jersey: Technics Publications .
Davis, R. (2012). Business process modelling with ARIS: a practical guide. London: Springer.
Jolak, R. (2020). Understanding and Supporting Software Design in Model-Based Software Engineering. Gothenburg: Chalmers University of Technology and University of Gothenburg.
Kazaal, A. R. (2005). Improving enterprise business processes with systems analysis and design methodologies and tools.
Kukartsev, A. V. (2020). Modeling as a tool for reengineering the enterprise production processes. Journal of Physics: Conference Series Vol. 1661, No. 1, p. 012176. doi:10.1088/1742-6596/1661/1/012176
Lending, D. &. (1998). The use of CASE tools. In Proceedings of the 1998 ACM SIGCPR conference on Computer personnel research, pp. 49-58.
Limayem, M. K. (2004). CASE tools usage and impact on system development performance. Journal of Organizational Computing and Electronic Commerce, 14(3), pp. 153-174. doi:https://doi.org/10.1207/s15327744joce1403_01
Matino, I. (2018). Modelling and simulation of industrial operations for prognostic monitoring and control, process integration and optimization.
Pillai, S. P. (2025). Laboratory quality management system fundamentals. Frontiers in Bioengineering and Biotechnology, 13, pp. 1-13. doi:https://doi.org/10.3389/fbioe.2025.1578654
Ribeiro, A. O. (2025). Business Process Modeling Techniques for Data Integration Conceptual Modeling. ICEIS (1), pp. 158-169.
Romero, M. G. (2022). A framework for assessing capability in organisations using enterprise models. Journal of Industrial Information Integration, 27, p. 100297. doi:https://doi.org/10.1016/j.jii.2021.100297
Rush, H. B. (2007). Assessing the technological capabilities of firms: developing a policy tool. R&d Management, 37(3), pp. 221-236. doi:https://doi.org/10.1111/j.1467-9310.2007.00471.x
Scheer, A. W. (2000). ARIS—business process modeling. Science & Business Media.
Tagger, B. (2011). An introduction and guide to successfully implementing a LIMS (laboratory information management system). Computer Science Departement, University of Wales, Aberystwyth, Ceredigion, Wales, p. 9.
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Copyright (c) 2026 Abrorkhon Rozikulov, Drebenstedt Carsten, Abrorkhon Nosirovich Rozikulov, Javokhir Burievich Toshov, Cujba Stepanek Rodica
This work is licensed under a Creative Commons Attribution 4.0 International License.
