On the public citation graph

National Digital Twins for Logistics and Supply Chain Systems: Outlooks, Components, Enablers, and Architecture

https://doi.org/10.2139/ssrn.5163534
0 signed · 101 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

1 of the 101 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-21): 10.1111/exsy.13271 (notice 2024-11-07).

Dataset join, best-effort; this page does not check the publisher record. Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0); dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781394303601.ch8openalex-snapshot
Blockchain Based Digital Twin for Smart Manufacturing
inferredcites →https://doi.org/10.1007/978-3-030-22479-0_15openalex-snapshot
A Distributed Ledger Approach to Digital Twin Secure Data Sharing
inferredcites →https://doi.org/10.1007/978-3-031-06527-9_52openalex-snapshot
Multi-Agent Systems in Support of Digital Twins: A Survey
inferredcites →https://doi.org/10.1007/978-3-642-24004-1_2openalex-snapshot
Agent-Based Modeling
inferredcites →https://doi.org/10.1007/s00158-022-03425-4openalex-snapshot
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
inferredcites →https://doi.org/10.1007/s00521-022-07573-yopenalex-snapshot
A hybrid algorithm based on tabu search and generalized network algorithm for designing multi-objective supply chain networks
inferredcites →https://doi.org/10.1007/s10100-018-0591-2openalex-snapshot
Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches
inferredcites →https://doi.org/10.1007/s10479-018-2902-3openalex-snapshot
Closed-loop supply chain network design and modelling under risks and demand uncertainty: an integrated robust optimization approach
inferredcites →https://doi.org/10.1007/s10479-019-03434-5openalex-snapshot
Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products
inferredcites →https://doi.org/10.1007/s10479-020-03654-0openalex-snapshot
Sustainable, multimodal and reliable supply chain design
inferredcites →https://doi.org/10.1007/s10479-021-03985-6openalex-snapshot
A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty
inferredcites →https://doi.org/10.1007/s10479-021-04195-wopenalex-snapshot
A tabu search algorithm to solve a green logistics bi-objective bi-level problem
inferredcites →https://doi.org/10.1007/s10479-023-05761-0openalex-snapshot
Machine learning-based mathematical model for drugs and equipment resilient supply chain using blockchain
inferredcites →https://doi.org/10.1007/s10666-022-09863-0openalex-snapshot
Green Closed-Loop Supply Chain Network Design During the Coronavirus (COVID-19) Pandemic: a Case Study in the Iranian Automotive Industry
inferredcites →https://doi.org/10.1007/s11356-022-22115-8openalex-snapshot
A hybrid optimization method to design a sustainable resilient supply chain in a perishable food industry
inferredcites →https://doi.org/10.1007/s11747-022-00889-0openalex-snapshot
Trust in blockchain-enabled exchanges: Future directions in blockchain marketing
inferredcites →https://doi.org/10.1016/j.aej.2022.08.017openalex-snapshot
6G Mobile Communication Technology: Requirements, Targets, Applications, Challenges, Advantages, and Opportunities
inferredcites →https://doi.org/10.1016/j.apm.2019.05.037openalex-snapshot
A bi-level stochastic optimization model for reliable supply chain in competitive environments: Hybridizing exact method and genetic algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2021.107725openalex-snapshot
A stochastic bi-objective simulation–optimization model for plasma supply chain in case of COVID-19 outbreak
inferredcites →https://doi.org/10.1016/j.cie.2020.106380openalex-snapshot
Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion
inferredcites →https://doi.org/10.1016/j.cie.2020.107093openalex-snapshot
Closing the loop: Redesigning sustainable reverse logistics network in uncertain supply chains
inferredcites →https://doi.org/10.1016/j.cie.2023.109838openalex-snapshot
A multi-agent digital twin–enabled decision support system for sustainable and resilient supplier management
inferredcites →https://doi.org/10.1016/j.compchemeng.2018.02.007openalex-snapshot
Data-driven decision making under uncertainty integrating robust optimization with principal component analysis and kernel smoothing methods
inferredcites →https://doi.org/10.1016/j.compchemeng.2020.106853openalex-snapshot
Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms
inferredcites →https://doi.org/10.1016/j.cor.2016.10.012openalex-snapshot
Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach
inferredcites →https://doi.org/10.1016/j.ejor.2020.07.063openalex-snapshot
Machine learning for combinatorial optimization: A methodological tour d’horizon
inferredcites →https://doi.org/10.1016/j.ejor.2024.01.032openalex-snapshot
Combining probabilistic forecasts of intermittent demand
inferredcites →https://doi.org/10.1016/j.ejor.2024.03.020openalex-snapshot
A survey of contextual optimization methods for decision-making under uncertainty
inferredcites →https://doi.org/10.1016/j.eswa.2023.120009openalex-snapshot
Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows
inferredcites →https://doi.org/10.1016/j.ifacol.2021.08.104openalex-snapshot
Modelling Digital Twins as a recursive Multi-Agent Architecture: application to energy management of communicating materials
inferredcites →https://doi.org/10.1016/j.ifacol.2023.10.812openalex-snapshot
Implementation of Autonomous Supply Chains for Digital Twinning: a Multi-Agent Approach
inferredcites →https://doi.org/10.1016/j.ifacol.2024.09.200openalex-snapshot
Multi-Agent Systems and Foundation Models Enable Autonomous Supply Chains: Opportunities and Challenges
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.07.001openalex-snapshot
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
inferredcites →https://doi.org/10.1016/j.ijpe.2015.06.009openalex-snapshot
An enhanced robustness approach for managing supply and demand uncertainties
inferredcites →https://doi.org/10.1016/j.ijpe.2021.108152openalex-snapshot
Supply chain transparency: A bibliometric review and research agenda
inferredcites →https://doi.org/10.1016/j.infsof.2024.107424openalex-snapshot
Stakeholders collaborations, challenges and emerging concepts in digital twin ecosystems
inferredcites →https://doi.org/10.1016/j.infsof.2024.107503openalex-snapshot
Analysing the synergies between Multi-agent Systems and Digital Twins: A systematic literature review
inferredcites →https://doi.org/10.1016/j.jclepro.2016.03.006openalex-snapshot
An optimization model for green supply chain management by using a big data analytic approach
inferredcites →https://doi.org/10.1016/j.jclepro.2018.06.034openalex-snapshot
A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount
inferredcites →https://doi.org/10.1016/j.jclepro.2020.120842openalex-snapshot
An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network
inferredcites →https://doi.org/10.1016/j.jclepro.2020.123060openalex-snapshot
On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals
inferredcites →https://doi.org/10.1016/j.jenvman.2023.119883openalex-snapshot
Regional bioethanol supply chain optimization with the integration of GIS-MCDM method and quantile-based scenario analysis
inferredcites →https://doi.org/10.1016/j.jii.2024.100714openalex-snapshot
Interoperability levels and challenges of digital twins in cyber–physical systems
inferredcites →https://doi.org/10.1016/j.jmsy.2020.04.005openalex-snapshot
Using augmented reality to build digital twin for reconfigurable additive manufacturing system
inferredcites →https://doi.org/10.1016/j.jmsy.2020.04.013openalex-snapshot
Digital twin-based smart assembly process design and application framework for complex products and its case study
inferredcites →https://doi.org/10.1016/j.jmsy.2023.02.008openalex-snapshot
Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach
inferredcites →https://doi.org/10.1016/j.omega.2022.102596openalex-snapshot
Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study
inferredcites →https://doi.org/10.1016/j.procir.2019.03.258openalex-snapshot
Big Data Driven Supply Chain Management
inferredcites →https://doi.org/10.1016/j.promfg.2020.01.212openalex-snapshot
Using open-source microcontrollers to enable digital twin communication for smart manufacturing
inferredcites →https://doi.org/10.1016/j.trb.2018.03.015openalex-snapshot
A two-stage robust approach for the reliable logistics network design problem
inferredcites →https://doi.org/10.1016/j.trd.2020.102245openalex-snapshot
Sustainable cold supply chain management under demand uncertainty and carbon tax regulation
inferredcites →https://doi.org/10.1016/j.tre.2019.101834openalex-snapshot
Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach
inferredcites →https://doi.org/10.1016/j.xinn.2023.100520openalex-snapshot
Can language models be used for real-world urban-delivery route optimization?
inferredcites →https://doi.org/10.1038/s41586-023-06924-6openalex-snapshot
Mathematical discoveries from program search with large language models
inferredcites →https://doi.org/10.1080/00207543.2019.1650976openalex-snapshot
Blockchain applications in supply chains, transport and logistics: a systematic review of the literature
inferredcites →https://doi.org/10.1080/00207543.2019.1701209openalex-snapshot
Multi-objective particle swarm optimisation based integrated production inventory routing planning for efficient perishable food logistics operations
inferredcites →https://doi.org/10.1080/00207543.2021.1896817openalex-snapshot
Forecasting hierarchical time series in supply chains: an empirical investigation
inferredcites →https://doi.org/10.1080/00207543.2022.2100841openalex-snapshot
Towards knowledge graph reasoning for supply chain risk management using graph neural networks
inferredcites →https://doi.org/10.1080/00207543.2023.2172964openalex-snapshot
A stochastic optimisation approach to maintain supply chain viability under the ripple effect
inferredcites →https://doi.org/10.1080/03155986.2021.2015825openalex-snapshot
On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies
inferredcites →https://doi.org/10.1080/09537287.2020.1768450openalex-snapshot
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0
inferredcites →https://doi.org/10.1080/21681015.2022.2099473openalex-snapshot
An optimization model for fresh-food electronic commerce supply chain with carbon emissions and food waste
inferredcites →https://doi.org/10.1108/978-1-80455-968-020241011openalex-snapshot
Future of Digital Supply Chain Management
inferredcites →https://doi.org/10.1108/ijlm-01-2017-0018openalex-snapshot
Supplier transparency: scale development and validation
inferredcites →https://doi.org/10.1109/access.2015.2461602openalex-snapshot
A Survey of 5G Network: Architecture and Emerging Technologies
inferredcites →https://doi.org/10.1109/access.2022.3152062openalex-snapshot
A Simulated Annealing Algorithm for the Vehicle Routing Problem With Parcel Lockers
inferredcites →https://doi.org/10.1109/access.2023.3266275openalex-snapshot
Time Series Forecasting and Modeling of Food Demand Supply Chain Based on Regressors Analysis
inferredcites →https://doi.org/10.1109/comst.2022.3171465openalex-snapshot
Digital Twin: A Comprehensive Survey of Security Threats
inferredcites →https://doi.org/10.1109/comst.2023.3308717openalex-snapshot
Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/icitech.2017.8079928openalex-snapshot
Internet of Things (IoT) communication protocols: Review
inferredcites →https://doi.org/10.1109/jproc.2020.2998530openalex-snapshot
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models
inferredcites →https://doi.org/10.1109/msp.2017.2743240openalex-snapshot
Deep Reinforcement Learning: A Brief Survey
inferredcites →https://doi.org/10.1109/surv.2012.090512.00043openalex-snapshot
Data Center Network Virtualization: A Survey
inferredcites →https://doi.org/10.1109/tase.2012.2203304openalex-snapshot
Carbon Footprint and the Management of Supply Chains: Insights From Simple Models
inferredcites →https://doi.org/10.1109/wsc48552.2020.9383955openalex-snapshot
Agent-Based Digital Twins (ABM-Dt) In Synchromodal Transport and Logistics: the Fusion of Virtual and Pysical Spaces
inferredcites →https://doi.org/10.1111/exsy.13081openalex-snapshot
RETRACTED: Dynamic relationship network and international management of enterprise supply chain by particle swarm optimization algorithm under deep learning
inferredcites →https://doi.org/10.1111/exsy.13271openalex-snapshot
RETRACTED: The design for supply chain management of intelligent logistics system using cloud computing and the internet of things
inferredcites →https://doi.org/10.1115/msec2018-6435openalex-snapshot
Modeling of Cyber-Physical Systems and Digital Twin Based on Edge Computing, Fog Computing and Cloud Computing Towards Smart Manufacturing
inferredcites →https://doi.org/10.1145/3437959.3459254openalex-snapshot
Multi-Agent Systems and Digital Twins for Smarter Cities
inferredcites →https://doi.org/10.1145/3583780.3614695openalex-snapshot
Logistics Audience Expansion via Temporal Knowledge Graph
inferredcites →https://doi.org/10.2139/ssrn.4516184openalex-snapshot
Digital Twins for Logistics and Supply Chain Systems: Literature Review, Conceptual Framework, Research Potential, and Practical Challenges
inferredcites →https://doi.org/10.30574/msarr.2024.11.2.0107openalex-snapshot
Optimizing supply chain operations using IoT devices and data analytics for improved efficiency
inferredcites →https://doi.org/10.3390/a13090218openalex-snapshot
A Simulated Annealing Algorithm for Solving Two-Echelon Vehicle Routing Problem with Locker Facilities
inferredcites →https://doi.org/10.3390/app10186625openalex-snapshot
Hybrid Harmony Search-Simulated Annealing Algorithm for Location-Inventory-Routing Problem in Supply Chain Network Design with Defect and Non-Defect Items
inferredcites →https://doi.org/10.3390/computation11070141openalex-snapshot
Incorporating Time-Series Forecasting Techniques to Predict Logistics Companies’ Staffing Needs and Order Volume
inferredcites →https://doi.org/10.3390/ijgi9040228openalex-snapshot
Digital Twin: Research Framework to Support Preventive Conservation Policies
inferredcites →https://doi.org/10.3390/logistics5040084openalex-snapshot
Digital Twin Integrated Reinforced Learning in Supply Chain and Logistics
inferredcites →https://doi.org/10.3390/math8010084openalex-snapshot
Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach
inferredcites →https://doi.org/10.3390/rs11121499openalex-snapshot
A Review on Deep Learning Techniques for 3D Sensed Data Classification
inferredcites →https://doi.org/10.3390/s24082509openalex-snapshot
Future Industrial Applications: Exploring LPWAN-Driven IoT Protocols
inferredcites →https://doi.org/10.3390/su131810008openalex-snapshot
Blockchain-Based Model to Improve the Performance of the Next-Generation Digital Supply Chain
inferredcites →https://doi.org/10.3390/su16135709openalex-snapshot
Transforming Healthcare Delivery with Advanced Air Mobility: A Rural Study with GIS-Based Optimization
inferredcites →https://doi.org/10.4236/jdaip.2021.92006openalex-snapshot
Internet of Things (IoT)
inferredcites →https://doi.org/10.46763/joe216.10023topenalex-snapshot
Cloud computing in logistic and Supply Chain Management environment
inferredcites →https://doi.org/10.48185/jaai.v5i2.1053openalex-snapshot
Artificial Intelligence for Enhancing Resilience
inferredcites →https://doi.org/10.48550/arxiv.2303.08233openalex-snapshot
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
inferredcites →https://doi.org/10.48550/arxiv.2308.12923openalex-snapshot
Diagnosing Infeasible Optimization Problems Using Large Language Models
inferredcites →https://doi.org/10.5120/ijca2015906844openalex-snapshot
A New Algorithm for Improving Latency in Distributed Data Center for Logistics Information System over Cloud
inferredcites →https://doi.org/10.51594/csitrj.v5i3.976openalex-snapshot
MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
inferredcites →https://doi.org/10.5281/zenodo.12670580openalex-snapshot
Enterprise Supply Chain Risk Management and Decision Support Driven by Large Language Models
inferredcites →https://doi.org/10.57062/ijpem-st.2023.0052openalex-snapshot
Digitalization in Production Logistics: How AI, Digital Twins, and Simulation Are Driving the Shift from Model-based to Data-driven Approaches
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.