DIGITAL LOGISTICS AND INVENTORY MANAGEMENT FOR CALIBRATION EQUIPMENT IN ENERGY PROJECTS
DOI:
https://doi.org/10.18623/rvd.v23.8074Keywords:
Digital Logistics, Calibration Equipment, Inventory Management, Rfid, Internet of Things, Digital Twin, Traceability, Energy ProjectsAbstract
Calibration equipment is mobile, sensitive, costly, and shared across laboratories and project sites. Insufficient control over its identity, location, calibration status, transport condition, custody, accessories, and return schedule can delay commissioning, result in unnecessary purchases, and expose energy projects to invalid measurements. This structured review investigates how digital logistics and inventory management enhance the availability, traceability, and lifecycle control of calibration equipment. Thirty publications from 2020 to 2025 were synthesised using PRISMA 2020 principles. The evidence demonstrates that radio-frequency identification, barcodes, Internet of Things sensors, mobile workflows, digital calibration certificates, cloud platforms, digital twins, analytics, and selective blockchain services can establish a reliable chain of custody from laboratory release to field use and return. The main benefits include improved visibility, reduced identification errors, enhanced status control, more accurate forecasting, faster dispatch, and stronger audit evidence. The principal risks involve inaccurate master data, metal-related RFID interference, fragmented interfaces, cybersecurity vulnerabilities, excessive automation, and insufficient governance of exceptions. This paper outlines a six-layer traceable asset-control framework encompassing asset identity, metrological status, physical visibility, logistics execution, inventory intelligence, and governance, and presents a phased roadmap for energy projects. The review concludes that digital inventory management should not treat calibration instruments as ordinary warehouse items. Each item must be managed as a measurement asset whose location, condition, configuration, traceability, and authorised use remain connected throughout its functioning lifecycle.
References
1. Agrawal, T.K., Kumar, V., Pal, R., Wang, L., & Chen, Y. (2021). Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry. Computers & Industrial Engineering, 154, 107130. https://doi.org/10.1016/j.cie.2021.107130
2. Cetinkaya, A., Kaya, M.C., Danaci, E., & Oguztuzun, H. (2024). Uncertainty calculation as a service: Integrating cloud-based microservices for enhanced calibration and DCC generation. Sensors, 24(17), 5651. https://doi.org/10.3390/s24175651
3. Choi, T.-M., & Siqin, T. (2022). Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework. Transportation Research Part E: Logistics and Transportation Review, 160, 102653. https://doi.org/10.1016/j.tre.2022.102653
4. Félix-Cigalat, J.S., & Domingo, R. (2023). Towards a digital twin warehouse through the optimization of internal transport. Applied Sciences, 13(8), 4652. https://doi.org/10.3390/app13084652
5. Gerlach, B., Zarnitz, S., Nitsche, B., & Straube, F. (2021). Digital supply chain twins—Conceptual clarification, use cases and benefits. Logistics, 5(4), 86. https://doi.org/10.3390/logistics5040086
6. Hackel, S., Schönhals, S., Doering, L., Engel, T., & Baumfalk, R. (2023). The Digital Calibration Certificate (DCC) for an end-to-end digital quality infrastructure for Industry 4.0. Sci, 5(1), 11. https://doi.org/10.3390/sci5010011
7. He, Y., & Gao, Z. (2023). Joint optimization of preventive maintenance and spare parts ordering considering imperfect detection. Systems, 11(9), 445. https://doi.org/10.3390/systems11090445
8. Helo, P., & Shamsuzzoha, A.H.M. (2020). Real-time supply chain—A blockchain architecture for project deliveries. Robotics and Computer-Integrated Manufacturing, 63, 101909. https://doi.org/10.1016/j.rcim.2019.101909
9. Ho, G.T.S., Tang, Y.M., Tsang, K.Y., Tang, V., & Chau, K.Y. (2021). A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management. Expert Systems with Applications, 179, 115101. https://doi.org/10.1016/j.eswa.2021.115101
10. Hong, K., Ren, Y., Li, F., Mao, W., & Gao, X. (2023). Robust interval prediction of intermittent demand for spare parts based on tensor optimization. Sensors, 23(16), 7182. https://doi.org/10.3390/s23167182
11. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788. https://doi.org/10.1080/09537287.2020.1768450
12. Jeschke, S., & Grassmann, R. (2021). Development of a generic implementation strategy of digital twins in logistics systems under consideration of German rail transport. Applied Sciences, 11(21), 10289. https://doi.org/10.3390/app112110289
13. Kaiblinger, A., & Woschank, M. (2022). State of the art and future directions of digital twins for production logistics: A systematic literature review. Applied Sciences, 12(2), 669. https://doi.org/10.3390/app12020669
14. Kampa, A. (2023). Modeling and simulation of a digital twin of a production system for Industry 4.0 with work-in-process synchronization. Applied Sciences, 13(22), 12261. https://doi.org/10.3390/app132212261
15. Kim, J.-D., Kim, T.-H., & Han, S.W. (2023). Demand forecasting of spare parts using artificial intelligence: A case study of K-X tanks. Mathematics, 11(3), 501. https://doi.org/10.3390/math11030501
16. Moshood, T.D., Nawanir, G., Sorooshian, S., & Okfalisa, O. (2021). Digital twins driven supply chain visibility within logistics: A new paradigm for future logistics. Applied System Innovation, 4(2), 29. https://doi.org/10.3390/asi4020029
17. Mustapää, T., Nummiluikki, J., & Viitala, R. (2022). Digitalization of calibration data management in pharmaceutical industry using a multitenant platform. Applied Sciences, 12(15), 7531. https://doi.org/10.3390/app12157531
18. Mustapää, T., Koskinen, S., Sundfors, M., Jonsson, J., Riska, K., Löytynoja, L., & Broo, J.-A. (2024). Enabling the use of digital calibration certificates in industrial calibration management systems. Journal of Sensors and Sensor Systems, 13, 71-79. https://doi.org/10.5194/jsss-13-71-2024
19. Nummiluikki, J., Saxholm, S., Kärkkäinen, A., & Koskinen, S. (2023). Digital Calibration Certificate in an industrial application. Acta IMEKO, 12(1), 6. https://doi.org/10.21014/actaimeko.v12i1.1402
20. Page, M.J., McKenzie, J.E., Bossuyt, P.M., Boutron, I., Hoffmann, T.C., Mulrow, C.D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
21. Park, J., Kim, Y.-J., & Lee, B.K. (2020). Passive radio-frequency identification tag-based indoor localization in multi-stacking racks for warehousing. Applied Sciences, 10(10), 3623. https://doi.org/10.3390/app10103623
22. Pawlewski, P., Kosacka-Olejnik, M., & Werner-Lewandowska, K. (2021). Digital twin lean intralogistics: Research implications. Applied Sciences, 11(4), 1495. https://doi.org/10.3390/app11041495
23. Seifermann, S., Murti, I.H., & Oberle, J. (2022). Tracking and tracing in manufacturing supply chains using blockchain technology. Procedia CIRP, 115, 172-177. https://doi.org/10.1016/j.procir.2022.10.069
24. Shafi, I., Sohail, A., Ahmad, J., Martínez Espinosa, J.C., Dzul López, L.A., Bautista Thompson, E., & Ashraf, I. (2023). Spare parts forecasting and lumpiness classification using neural network model and its impact on aviation safety. Applied Sciences, 13(9), 5475. https://doi.org/10.3390/app13095475
25. Soori, M., Arezoo, B., & Dastres, R. (2023). Internet of things for smart factories in Industry 4.0: A review. Internet of Things and Cyber-Physical Systems, 3, 192-204. https://doi.org/10.1016/j.iotcps.2023.04.006.
Downloads
Published
How to Cite
Issue
Section
License
I (we) submit this article which is original and unpublished, of my (our) own authorship, to the evaluation of the Veredas do Direito Journal, and agree that the related copyrights will become exclusive property of the Journal, being prohibited any partial or total copy in any other part or other printed or online communication vehicle dissociated from the Veredas do Direito Journal, without the necessary and prior authorization that should be requested in writing to Editor in Chief. I (we) also declare that there is no conflict of interest between the articles theme, the author (s) and enterprises, institutions or individuals.
I (we) recognize that the Veredas do Direito Journal is licensed under a CREATIVE COMMONS LICENSE.
Licença Creative Commons Attribution 3.0
