Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory
Hassan Morsy, N., El-Hefnawy, N., Ahmed, H., Abdelatey, A. (2023). Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory. EKB Journal Management System, 10(3), 9-15. doi: 10.21608/ijci.2023.235231.1120
Nehal Tarek Hassan Morsy; Nancy El-Hefnawy; Hatem Ahmed; Amira Abdelatey. "Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory". EKB Journal Management System, 10, 3, 2023, 9-15. doi: 10.21608/ijci.2023.235231.1120
Hassan Morsy, N., El-Hefnawy, N., Ahmed, H., Abdelatey, A. (2023). 'Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory', EKB Journal Management System, 10(3), pp. 9-15. doi: 10.21608/ijci.2023.235231.1120
Hassan Morsy, N., El-Hefnawy, N., Ahmed, H., Abdelatey, A. Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory. EKB Journal Management System, 2023; 10(3): 9-15. doi: 10.21608/ijci.2023.235231.1120

Digital Twin-Based Job Shop Scheduling Algorithm for Poultry Feed Industrial Factory

IJCI. International Journal of Computers and Information
Article 3, Volume 10, Issue 3, November 2023, Page 9-15  XML PDF (778.08 K)
Document Type: Original Article
DOI: 10.21608/ijci.2023.235231.1120
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Authors
Nehal Tarek Hassan Morsy email 1; Nancy El-Hefnawy2; Hatem Ahmed1; Amira Abdelatey1
1Information System Department, Faculty of computers and Information, Menoufia University
2Information System Department, Faculty of computers and Information, Tanta university, Egypt
Abstract
Digital Twin (DT) is a rising technology concept for representing the physical-world assets in digitalized form. Real time events can be mapped using DT by monitoring the physical part of an entity and employing both artificial intelligence algorithms and big data analytic tools to create DT models that represent the virtual part. In smart manufacturing, job shop scheduling is affecting the production efficiency. To ensure the maximum utilization of the available resources, a robust job shop scheduling technique is proposed for a poultry feed industrial factory. This has been achieved via two phases. Phase one, a flexible digital twin model is built to simulate the actual physical system of the production lines in the adopted factory. The main objectives of this phase are modeling, monitoring, and graphing the production lines in the factory. In phase two, an efficient job shop scheduling algorithm is presented to schedule and reschedule the jobs among the healthy production lines. The optimization technique used in this phase is a genetic algorithm with enhanced chromosome representation to ensure that all the populations’ individuals generated are feasible solutions which reduce the time required to achieve convergence.
Keywords
job shop scheduling problem; smart manufacturing; digital twin; knowledge graph
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