Simulation-based decision support tool for in-house logistics: the basis for a digital twin

Coelho, Fábio; Relvas, Susana; Barbosa‐Póvoa, Ana Paula

doi:10.1016/j.cie.2020.107094

Cited by 75 publications

(46 citation statements)

References 71 publications

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“…Human pickers were matched with workers, cobot pickers and transporters were matched with vehicles, storage and product locations with combiners, products as well as bins and orders with entities. To evaluate this framework, two offline simulation models were created and validated [30]. Jiang et al present several generic building blocks for creating the VM of a DT for discrete manufacturing systems based on DES.…”

Section: Virtual Model Creationmentioning

confidence: 99%

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

Kaiblinger

Woschank

2022

Applied Sciences

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Digital Twins (DTs) are widely discussed in the context of the Industry 4.0 paradigm as one of the main opportunities to strengthen the overall competitiveness of manufacturing enterprises. Despite a substantial scientific discussion, there is still no unified understanding regarding the constitution and subsequent usage of DTs within production logistics systems. Therefore, this paper focuses on the application of DTs in production logistics. The authors discuss common definitions, characteristics, and functionalities of DTs and outline current developments and implications from state-of-the-art implementation approaches, by using a systematic literature review. Moreover, based on the research findings, the authors evaluate a set of DT case studies, identify current research gaps, and present potential directions for future research initiatives regarding the field of production logistics in manufacturing enterprises.

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Section: Virtual Model Creationmentioning

confidence: 99%

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

Kaiblinger

Woschank

2022

Applied Sciences

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“…Through this virtual system, it was possible to study the physical system status in real time and predict if the mission would have been successful [35]. Coelho et al [36] improved the concept of digital twin in manufacturing, expanding its dimensions from three to six. Besides the physical system, the virtual system, and data integration, they added the service system, the decision-support system (DSS) and the connection between all these dimensions.…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Twin of COVID-19 Mass Vaccination Centers

et al. 2021

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The problem is the vaccination of a large number of people in a short time period, using minimum space and resources. The tradeoff is that this minimum number of resources must guarantee a good service for the patients, represented by the time spent in the system and in the queue. The goal is to develop a digital twin which integrates the physical and virtual systems and allows a real-time mapping of the patient flow to create a sustainable and dynamic vaccination center. Firstly, to reach this goal, a discrete-event simulation model is implemented. The simulation model is integrated with a mobile application that automatically collects time measures. By processing these measures, indicators can be computed to find problems, run the virtual model to solve them, and replicate improvements in the real system. The model is tested in a South Tyrol vaccination clinic and the best configuration found includes 31 operators and 306 places dedicated for the queues. This configuration allows the vaccination of 2164 patients in a 10-h shift, with a mean process time of 25 min. Data from the APP are managed to build the dashboard with indicators like number of people in queue for each phase and resource utilization.

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“…Those predictions assist the planner and controller in generating feasible decision scenarios based on the digital twin. In the context of logistics, [14] propose a simulationbased decision support tool for in-house logistics that analyses the activities that can occur in both a distribution facility and a production facility towards logistics 4.0. As a result, the developed simulation models can be applied in different inhouse logistics settings and function as digital twinning tools to operations improvement without disruptions in reality.…”

Section: Related Workmentioning

confidence: 99%

Towards a Digital Twin Framework for Adaptive Last Mile City Logistics

Belfadel

Hörl

Tapia

et al. 2021

2021 6th International Conference on Smart and Sustainable Technologies (SpliTech)

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The use of real-time data in logistics is an important topic. Every day, logistics produces a large quantity of data, which is mainly produced by monitoring and controlling the enormous flow of goods. The last-mile delivery market is expanding at a rapid pace through large-and small-scale consumer platforms, but the economic drivers to create more sustainable systems are weak. Therefore, cities are facing the potential downside of this "Uberisation" of logistics. Urban and city planners, city administrators, and business stakeholders need a new adaptive approach such as the usage of digital twinning solutions of urban logistics. This to help in the interpretation of the dynamics of logistics networks in the city and the consequences of the introduction of particular innovations. The challenge is to predict the most likely developments for the coming years and propose feasible policies on that basis. This research work aims to advance research in the field of digital twins applied to city logistics, by proposing a framework enabling new applications for designing and assessing targeted urban logistics policies and to develop a range of logistics solutions for shared, connected, and low-emission logistics operations, empowered by an adaptive modeling approach.

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Simulation-based decision support tool for in-house logistics: the basis for a digital twin

Cited by 75 publications

References 71 publications

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review

Digital Twin of COVID-19 Mass Vaccination Centers

Towards a Digital Twin Framework for Adaptive Last Mile City Logistics

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