CottonTracer
Measuring production KPIs and tracing textile materials in the textile industry using a Real-Time Locating System
The CottonTracer project encompasses the deployment of the novel Real-Time Locating System (RTLS), developed by Digital Value Chains P.C., within the facilities of the industrial partner (Alfa Cotton LTD), with the primary objective of monitoring mobile assets, specifically the bins employed by the company for the transportation of semi-finished garments. The utilization of bin tracking, coupled with Data Analytics Tools to the resultant positional data, holds the potential to yield valuable insights into the operational dynamics of the manufacturing line. The central aspiration of this project is to extract and subsequently leverage critical key performance indicators (KPIs) pertaining to the manufacturing processes.
01.09.2023-31.05.2024 (9 months)
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme –INNOSUP under grant agreement No 101005711
Funded under the cascade-funding call of Mind4Machines
- Digital Transformation and Process Optimization in Supply Chains
- Simultaneous Localization and Mapping of Autonomous Vehicles in Industrial Sites
- Simulation-based optimization of AGV systems in industry, Astrolavos, 25, 19-37, 2016.
- Sustainable supply chain management in the digitalisation era: The impact of Automated Guided Vehicles, Journal of Cleaner Production, 142(4), 3970–3984, 2017. https://doi.org/10.1016/j.jclepro.2016.10.057
- Industry 4.0: Sustainable material handling processes in industrial environments, Computer Aided Chemical Engineering, 40, 2281-2286, 2017. https://doi.org/10.1016/B978-0-444-63965-3.50382-2
- Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks, Journal of Cleaner Production, 181, 60-71, 2018. https://doi.org/10.1016/j.jclepro.2018.01.173
- A software tool for optimizing intra-logistic activities, Computer Aided Chemical Engineering, 43, pp. 439-444, 2018. https://doi.org/10.1016/B978-0-444-64235-6.50079-6
- Unmanned Ground Vehicles in Precision Farming Services: An Integrated Emulation Modelling Approach. In: Salampasis M., Bournaris T. (eds) Information and Communication Technologies in Modern Agricultural Development, Communications in Computer and Information Science, 953, 177–190, 2019. https://link.springer.com/chapter/10.1007%2F978-3-030-12998-9_13
- Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework, International Journal of Production Research, https://doi.org/10.1080/00207543.2021.1957506
- Unmanned aerial vehicles for inventory listing. International Journal of Business and Systems Research, 15(6), 748-756, 2021. doi:10.1504/IJBSR.2021.118776
- An augmented reality symbiosis software tool for sustainable logistics activities. Sustainability (Switzerland), 13(19), 2021, doi:10.3390/su131910929
- An assessment of circular economy interventions in the peach canning industry, International Journal of Production Economics, 2022. DOI: 10.1016/j.ijpe.2022.108533