Deploying hybrid modelling to support the development of a digital twin for supply chain master planning under disruptions
Author:
Affiliation:
1. Sheffield Business School, Sheffield Hallam University, Sheffield, UK
2. School for Business and Society, University of York, York, UK
Funder
UK Research and Innovation
EPSRC
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2244604
Reference122 articles.
1. Machine-learning models for predicting survivability in COVID-19 patients
2. Developing a selective assembly technique for sheet metal assemblies
3. Afridi, Muhammad Tariq, Santiago Nieto-Isaza, Hans Ehm, Thomas Ponsignon, and Abdelgafar Hamed. 2020. “A Deep Reinforcement Learning Approach for Optimal Replenishment Policy in a Vendor Managed Inventory Setting for Semiconductors.” In 2020 Winter Simulation Conference (WSC), 1753–1764. IEEE.
4. Simulated-based methodology for the interface configuration of cyber-physical production systems
5. Hybrid optimization-simulation for integrated planning of bioenergy and biofuel supply chains
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