Publikationer av Erik Flores Garcia
Refereegranskade
Artiklar
[1]
E. Flores-García et al., "Machine learning in smart production logistics : a review of technological capabilities," International Journal of Production Research, s. 1-35, 2024.
[2]
E. Flores-García et al., "Enabling industrial internet of things-based digital servitization in smart production logistics," International Journal of Production Research, s. 1-26, 2022.
[3]
E. Ruiz Zuniga et al., "Holistic simulation-based optimisation methodology for facility layout design with consideration to production andlogistics constraints," Proceedings of the Institution of mechanical engineers. Part B, journal of engineering manufacture, 2021.
Konferensbidrag
[4]
E. Flores García et al., "Centering on Humans - Intersectionality in Vision Systems for Human Order Picking," i Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024, s. 421-434.
[5]
Y. Jeong et al., "Integrating Smart Production Logistics with Network Diagrams: A Framework for Data Visualization," i Moving Integrated Product Development to Service Clouds in the Global Economy - Proceedings of the 21st ISPE Inc. International Conference on Concurrent Engineering, CE 2014, 2024, s. 601-612.
[6]
Y. Jeong, E. Flores-García och M. Wiktorsson, "Integrating Smart Production Logisticswith Network Diagrams: A Frameworkfor Data Visualization," i Proceedings of the 11th Swedish Production Symposium, 2024, s. 601-612.
[7]
E. Flores-García et al., "Beyond the Lab : Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing," i Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures, 2023, s. 462-476.
[8]
Y. Jeong et al., "Implementing transmission of data for digital twins in human-centered cyber-physical systems," i Proceedings 56th CIRP International Conference on Manufacturing Systems 2023, 2023, s. 992-997.
[9]
A. Singh et al., "A Rubric for Implementing Explainable AI in Production Logistics," i Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022, s. 190-197.
[10]
Y. Jeong et al., "An Optimization Model with Stochastic Variables for Flexible Production Logistics Planning," i Advances in Transdisciplinary Engineering, 2022, s. 435-446.
[11]
E. Flores-García et al., "Characterizing Digital Dashboards for Smart Production Logistics," i Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action, 2022, s. 521-528.
[12]
Y. Jeong et al., "Digital Twin-Based Services and Data Visualization of Material Handling Equipment in Smart Production Logistics Environment," i Advances in Production Management Systems. Smart Manufacturing and Logistics Systems : Turning Ideas into Action, 2022, s. 556-564.
[13]
E. Flores García et al., "IIoT-Enabled Digital Services for Maintenance Planning in Smart Production Logistics Using Maintenance Opportunity Window," i Swedish Production Symposium (SPS) 2022, 2022.
[14]
Y. Jeong et al., "A reinforcement learning model for material handling task assignment and route planning in dynamic production logistics environment," i Towards Digitalized Manufacturing 4.0, 2021, s. 1807-1812.
[15]
E. Flores-García, Y. Jeong och M. Wiktorsson, "Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics," i Proceedings, Part V, Advances in ProductionManagement Systems Artificial Intelligence for Sustainable and Resilient Production Systems IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, 2021.
[16]
E. Flores-García et al., "Digital Twin-Based Services for Smart Production Logistics," i 2021 Winter Simulation Conference (WSC); WSC 2021 Phoenix; 12 December 2021 - 15 December 2021., 2021.
[17]
G.-Y. Kim et al., "Exploring Economic, Environmental, and Social Sustainability Impact of Digital Twin-Based Services for Smart Production Logistics," i Proceedings IFIP International Conference on Advances in Production Management Systems APMS 2021, 2021.
[18]
E. Flores-García, Y. Jeong och M. Wiktorsson, "Exploring the challenges for generating, handling, and using real-time location information in Smart Production Logistics," i 28th EurOMA Conference - Managing the “new normal”: The future of Operations and Supply Chain Management in unprecedented times, 2021.
[19]
Y. Jeong, E. Flores-García och M. Wiktorsson, "A design of digital twins for supporting decision-making in production logistics," i 2020 winter simulation conference (WSC), 2020, s. 2683-2694.
[20]
E. Flores-Garcia, "Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems," i Advances in Production Management Systems. Towards Smart and Digital Manufacturing, 2020, s. 238-244.
[21]
C. A. Barrera-Diaz et al., "Simulation-Based Multi-Objective Optimization for Reconfigurable Manufacturing System Configuration Analysis," i Proceedings of the 2020 Winter Simulation Conference, 2020.
[22]
C. A. B. Diaz et al., "Simulation-based multi-objective optimization for reconfigurable manufacturing system configurations analysis," i 2020 winter simulation conference (WSC), 2020, s. 1527-1538.
[23]
E. Flores Garcia et al., "Towards a Reduction of Uncertainty in Production System Design Decisions," i Swedish Production Symposium 2016 SPS 2016, 2016.
[24]
E. Flores Garcia et al., "Simulation in the Production System Design Process of Assembly Systems," i Winter Simulation Conference 2015 WSC15, 2015.
[25]
E. Flores Garcia, M. Jackson och M. Wiktorsson, "A Virtual Verification Approach Towards Evaluating a Multi-Product Assembly Systems," i Swedish Production Symposium 2014 SPS 2014, 2014.
Icke refereegranskade
Konferensbidrag
[26]
E. Flores-García et al., "Pictures of you – How machine learning and vision systems can help workers in automotive order picking," i Forsknings- & Tillämpningskonferensen 2024, Växjö, Sweden, 8–9 Oct 2024, 2024.
Senaste synkning med DiVA:
2024-12-22 02:21:41