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Initial provisioning and spare parts inventory network optimisation in a multi maintenance base environment

Peter Lendermann, Annamalai Thirunavukkarasu, Malcolm Yoke Hean Low, Leon F. McGinnis
2012 Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC)  
In this paper we demonstrate how simulation-based optimisation can help with the multi-location inventory problem by quantifying synergy potential between locations and how total service lifecycle cost  ...  bases are consolidated into one single location.  ...  fidelity in a Discrete Event Simulation model.  ... 
doi:10.1109/wsc.2012.6465103 dblp:conf/wsc/LendermannTLM12 fatcat:foznc6xsx5d5ppfdijdymq5khy

Modelling for Digital Twins—Potential Role of Surrogate Models

Ágnes Bárkányi, Tibor Chován, Sándor Németh, János Abonyi
2021 Processes  
In this sense, the paper discusses what types of surrogate models are suitable for different practical problems as well as introduces the appropriate techniques for building and using these models.  ...  The surrogate models and model-building methods are categorised according to the area of applications.  ...  Many engineering problems involve complex computer simulations, which allow more accurate as well as high-fidelity information about complex, multi scale, multi-phase and/or distributed computing systems  ... 
doi:10.3390/pr9030476 fatcat:izcbxby7ajc3plvh7tzu63zoz4

The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling [article]

Brian Kunzer, Mario Berges, Artur Dubrawski
2022 arXiv   pre-print
A definition for a minimally viable framework to utilize a digital twin is also provided based on seven essential elements.  ...  The application of a digital twin framework is highlighted in the field of predictive maintenance, and its extensions utilizing machine learning and physics based modeling.  ...  Machine learning algorithms are employed to flexibly optimize logistical problems associated with predictive maintenance while also predicting the faults and failures of assets based on trends and patterns  ... 
arXiv:2206.10462v2 fatcat:fznude7xvjbi3e73k5tzqp7sce

From 4G to 5G: Self-organized Network Management meets Machine Learning [article]

Jessica Moysen, Lorenza Giupponi
2018 arXiv   pre-print
SON aims at reducing the cost of installation and management of 4G and future 5G networks, by simplifying operational tasks through the capability to configure, optimize and heal itself.  ...  We review and provide the basic concepts and taxonomy for SON, network management and ML. We analyse the available state of the art in the literature, standardization, and in the market.  ...  The authors declare that there is no conflict of interest regarding the publication of this paper. VIII.  ... 
arXiv:1707.09300v2 fatcat:tdmjxxz27benfcaptsckzg3egi

Application Status and Prospect of Digital twin for On-orbit Spacecraft

Wenqiang Yang, Yu Zheng, Shaoyang Li
2021 IEEE Access  
After that, the key problems of SDT twin are discussed, including data acquisition, system configuration, and data service model.  ...  At the same time, the spacecraft is facing more frequent and multi-task tests in an unprecedented complex environment, which set higher requirements for self-management.  ...  multi-source information perception, and establish a multi-disciplinary simulation model to describe the mathematical model of a variety of business problems, predicting actual problems through system  ... 
doi:10.1109/access.2021.3100683 fatcat:c67z3v5jufauljmnsygytqf3yi

(Data-Driven) Reinforcement learning based optimal decision making towards product lifecycle sustainability

Yang Liu, Miying Yang, Zhengang Guo
2022 International journal of computer integrated manufacturing (Print)  
The case study demonstrates the effectiveness of the method and identifies that RL is the current most appropriate method for maintenance scheduling based on limited available lifecycle data.  ...  The method has been validated in a case study of an international vehicle manufacturer, combined with modelling and simulation.  ...  This sidesteps the problem at the price of some model fidelity.  ... 
doi:10.1080/0951192x.2022.2025623 fatcat:y5xk3wffujekrp6n7c22k4ifdi

A review of digital twin applications in construction

Obinna C. Madubuike, Chimay J. Anumba, Rana Khallaf
2022 Journal of Information Technology in Construction  
Its functionality depends on the bi-directional coordination of data between the physical and virtual models.  ...  Virtual models of constructed facilities are developed and used to plan and construct the actual facility, with changes in the physical facility being automatically reflected in the virtual model based  ...  for smart MRO.  ... 
doi:10.36680/j.itcon.2022.008 fatcat:75oauyu3p5ewdoyxlx2mptsmzu

Taxonomy to Guide Systems-of-Systems Decision-Making in Air Transportation Problems

Daniel A. DeLaurentis, William A. Crossley, Muharrem Mane
2011 Journal of Aircraft  
Once initialized, a validation exercise confirmed that the simulation could represent the reality of today’s system, within the bounds on fidelity.  ...  Problem Solution Strategy The combination of agent-based modeling and network theory provides the core of the air transportation SOS simulation.  ... 
doi:10.2514/1.c031008 fatcat:ddo2qhggfvapphmvdrodxnkmsa

Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming [article]

Thomas Claudet, Ryan Alimo, Edwin Goh, Mark Johnston, Ramtin Madani, Brian Wilson
2022 arXiv   pre-print
This paper introduces Δ-MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA's Deep Space Network (DSN) scheduling problem.  ...  This work is an extension of our original MILP framework (DOI:10.1109/ACCESS.2021.3064928) and inherits many of its constructions and strengths, including the base MILP formulation for DSN scheduling.  ...  The authors thank Alexandre Guillaume, Hamsa Shwetha Venkataram, Chris Mattmann, Joe Lazio, Becky Castano, Thomas Bewley, Alex Sabol, Farhad Kamangar, Dave Hanks, Fred Hadaegh for fruitful discussions  ... 
arXiv:2111.11628v2 fatcat:2f3r4s67zva63dnsbdmio3jzsm

Digital Twin Technology Challenges and Applications: A Comprehensive Review

Diego M. Botín-Sanabria, Adriana-Simona Mihaita, Rodrigo E. Peimbert-García, Mauricio A. Ramírez-Moreno, Ricardo A. Ramírez-Mendoza, Jorge de J. Lozoya-Santos
2022 Remote Sensing  
The objective of this systematic literature review is to present a comprehensive view on the DT technology and its implementation challenges and limits in the most relevant domains and applications in  ...  A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin's present and  ...  , rendering and optimization of manual assembly work on the vehicle. • Simulation twin: Primarily used to develop software solutions or updates for existing car models.  ... 
doi:10.3390/rs14061335 fatcat:pallqgrd3bey5mkdctxqviztm4

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

2017 Sensors  
will allow for confronting today challenges.  ...  The advantages of the latest generation of broadband communication systems (e.g., LTE, 5G, IEEE 802.11ad) and the emergence of Wireless Sensor Networks (WSNs) for the railway environment are also explained  ...  , TEC2016-75067-C4-1-R) and ERDF funds of the EU (AEI/FEDER, UE).  ... 
doi:10.3390/s17061457 pmid:28635672 pmcid:PMC5492363 fatcat:okyqqvhtqbc5vgjafqgpt6p7ba

Review of the Potential for a Cyber-Physical System Approach to Temporary Structures Monitoring

Xiao Yuan, Chimay J Anumba, Kevin M Parfitt
2015 Archnet-IJAR  
However, few of the temporary structural problems have been well addressed, especially when compared with the increasing improvements in permanent structures.  ...  Meanwhile, the review of leading causes of temporary structural failures identifies the need for improved methods, such as Cyber-Physical Systems (CPS), to prevent potential structural hazards.  ...  ACKNOWLEDGEMENTS The project is supported by the China Scholarship Council and The Pennsylvania State University.  ... 
doi:10.26687/archnet-ijar.v9i3.841 fatcat:rahna4uki5cxnjesrf7hxt7fhe

Automation Pyramid as Constructor for a Complete Digital Twin, Case Study: A Didactic Manufacturing System

Edwin Mauricio Martinez, Pedro Ponce, Israel Macias, Arturo Molina
2021 Sensors  
As a result, this paper proposed a complete DT structure covering all automation pyramid stages using Artificial Intelligence (AI) to model each stage of the AP based on the Digital Twin concept.  ...  Thus, the partial automation based on the DT is accomplished, and the information between all manufacturing stages could be decremented.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21144656 fatcat:vyw6q7mvinfhljurnpzgbe5q7a

Urban Air Mobility: Systematic Review of Scientific Publications and Regulations for Vertiport Design and Operations

Karolin Schweiger, Lukas Preis
2022 Drones  
While UAM promises to introduce a new mode of transport, it depends on ground infrastructure to operate safely and efficiently in a highly constrained urban environment.  ...  Due to its novelty, the research of UAM ground infrastructure is widely scattered.  ...  Based on socio-demographic characteristics and expected developments for the year 2030 (used tool: SILO for modelling a synthetic population), an existing agent-based traffic simulation model (used tool  ... 
doi:10.3390/drones6070179 fatcat:glqblcsdnbdg3bkn65lomvt26q

On the contribution of PRIDE-JUICE to Jovian system ephemerides

D. Dirkx, L.I. Gurvits, V. Lainey, G. Lari, A. Milani, G. Cimò, T.M. Bocanegra-Bahamon, P.N.A.M. Visser
2017 Planetary and Space Science  
Also, the use of the VLBI data makes the uncertainty in the ephemerides less dependent on the error in the orbit determination of the JUICE spacecraft itself.  ...  Using both the radio tracking data, and (Earth- and JUICE-based) optical astrometry, the dynamics of the Galilean moons will be measured to unprecedented accuracy.  ...  Acknowledgements The authors are indebted to Luciano Iess for many discussions on the performance of 3GM radio tracking data, and for promptly providing a nominal range data measurement schedule.  ... 
doi:10.1016/j.pss.2017.09.004 fatcat:fl3jarkwandjtcifbv7f5zqlbu
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