Evolutionary algorithm incorporating reinforcement learning for energy-conscious flexible job-shop scheduling problem with transportation and setup times

G Zhang, S Yan, X Song, D Zhang, S Guo - Engineering Applications of …, 2024 - Elsevier
Flexible job-shop scheduling is considerably important in the modern intelligent
manufacturing factory. In a real job shop, transportation and setup times account for a large …

Transportation and delivery in flow-shop scheduling problems: A systematic review

V Fernandez-Viagas - European Journal of Operational Research, 2024 - Elsevier
This paper presents a literature review of flow-shop scheduling problems with transportation
or delivery of jobs. Flow-shop scheduling problems are one of the most widely studied …

An optimal design of battery thermal management system with advanced heating and cooling control mechanism for lithium-ion storage packs in electric vehicles

A Sadar, M Amir, N Mohammad - Journal of Energy Storage, 2024 - Elsevier
Battery thermal management is crucial for the efficiency and longevity of energy storage
systems. Thermoelectric coolers (TECs) offer a compact, reliable, and precise solution for …

Metaheuristics for multi-objective scheduling problems in industry 4.0 and 5.0: a state-of-the-arts survey

W Zhang, X Bao, X Hao, M Gen - Frontiers in Industrial Engineering, 2025 - frontiersin.org
The advent of Industry 4.0 and the emerging Industry 5.0 have fundamentally transformed
manufacturing systems, introducing unprecedented levels of complexity in production …

A feature based neural network model for distributed flexible flow shop scheduling considering worker and transportation factors

T Xu, F Zhao, J Zhang, J Tang, H Zhou - Computers & Industrial …, 2025 - Elsevier
In the context of distributed flexible flow shop scheduling (DFFSP), the factors of worker and
transportation have a significant impact on the production efficiency within a manufacturing …

[HTML][HTML] Energy-Efficient Collision-Free Machine/AGV Scheduling Using Vehicle Edge Intelligence

Z Cai, J Du, T Huang, Z Lu, Z Liu, G Gong - Sensors, 2024 - mdpi.com
With the widespread use of autonomous guided vehicles (AGVs), avoiding collisions has
become a challenging problem. Addressing the issue is not straightforward since production …

A History-Guided Regional Partitioning Evolutionary Optimization for Solving the Flexible Job Shop Problem with Limited Multi-load Automated Guided Vehicles

F Liu, C Lu, X Li - arXiv preprint arXiv:2409.18742, 2024 - arxiv.org
In a flexible job shop environment, using Automated Guided Vehicles (AGVs) to transport
jobs and process materials is an important way to promote the intelligence of the workshop …

Energy-efficient permutation flow shop scheduling problem: A systematic literature review

DM Utama, MD Primayesti, SZ Umamy… - Jurnal Teknik …, 2024 - ejournal.umm.ac.id
Energy-efficient scheduling is an important problem in the industrial world because improper
scheduling can increase energy consumption. One of the production scheduling problems is …