[HTML][HTML] Artificial intelligence to solve production scheduling problems in real industrial settings: Systematic Literature Review

M Del Gallo, G Mazzuto, FE Ciarapica, M Bevilacqua - Electronics, 2023 - mdpi.com
This literature review examines the increasing use of artificial intelligence (AI) in
manufacturing systems, in line with the principles of Industry 4.0 and the growth of smart …

[PDF][PDF] A review of scheduling problem and resolution methods in flexible flow shop

TS Lee, YT Loong - International Journal of Industrial …, 2019 - pdfs.semanticscholar.org
A production system constructed by few parallel production lines or group of machines in a
single stage and established in multi-stage flow shop facilities, is commonly defined as …

Cyber-physical integration for moving digital factories forward towards smart manufacturing: a survey

Y Cheng, Y Zhang, P Ji, W Xu, Z Zhou, F Tao - The International Journal of …, 2018 - Springer
The current study on digital factory (DF) meets some problems, such as disconnected
manufacturing sites, independent digital models, isolated data, and non-self-controlled …

Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization

J Ding, S Schulz, L Shen, U Buscher, Z Lü - Computers & Operations …, 2021 - Elsevier
This paper integrates energy awareness in the flexible flow shop scheduling system, where
two objectives are minimized simultaneously: total tardiness and electric power costs. We …

A matheuristic approach for solving a simultaneous lot sizing and scheduling problem with client prioritization in tire industry

C Koch, T Arbaoui, Y Ouazene, F Yalaoui… - Computers & Industrial …, 2022 - Elsevier
This paper introduces an integrated lot sizing and scheduling problem inspired from a real-
world application in off-the-road tire industry. This problem considers the assignment of …

Multi-objective scheduling technique based on hybrid hitchcock bird algorithm and fuzzy signature in cloud computing

BMH Zade, N Mansouri, MM Javidi - Engineering Applications of Artificial …, 2021 - Elsevier
As the number of requests in the cloud increases, providers face more problems (eg, task
scheduling and resource management). The exhaustive search for determining the optimal …

Multi-stage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain

S Torkaman, SMTF Ghomi, B Karimi - Computers & Industrial Engineering, 2017 - Elsevier
This paper studies multi-stage multi-product multi-period capacitated production planning
problem with sequence dependent setups in closed-loop supply chain. In this problem …

An extensive and systematic literature review for hybrid flowshop scheduling problems

M Colak, GA Keskin - 2021 - dspace.balikesir.edu.tr
Hybrid flowshop scheduling problem (HFSP) is a mixture of two classical scheduling
problems as parallel machine scheduling (PMS) and flowshop scheduling (FS). In the HFSP …

Rolling horizon-based heuristics for solving a production-routing problem with price-dependent demand

S Torkaman, MRA Jokar, N Mutlu… - Computers & Operations …, 2022 - Elsevier
This paper studies a production-routing problem with price-dependent demand (PRP-PD).
The problem is formulated as a mixed-integer nonlinear program (MINLP) and solved within …

Dynamic scheduling of hybrid flow shop problem with uncertain process time and flexible maintenance using NeuroEvolution of Augmenting Topologies

Y Chen, J Zhang, M Rauf, J Mumtaz… - IET Collaborative …, 2024 - Wiley Online Library
A hybrid flow shop is pivotal in modern manufacturing systems, where various emergencies
and disturbances occur within the smart manufacturing context. Efficiently solving the …