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An adaptive digital twin framework for flow shop scheduling and production planning with machine learning integration

Year: 2026

Type: article

Source: International Journal of Production Research

DOI: 10.1080/00207543.2026.2695245

Authors: Matineh Ziari, Morteza Ghomi-Avili, Reza Tavakkoli-Moghaddam, Mehdi Foumani

Institutions: University of Tehran, Istinye University, Hainan Bielefeld University of Applied Sciences

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7166130601

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Cites: 43

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