Survey of integrated flexible job shop scheduling problems

X Li, X Guo, H Tang, R Wu, L Wang, S Pang… - Computers & Industrial …, 2022 - Elsevier
The flexible job shop scheduling problems (FJSP) has been studied for many years, and
many different mathematical models and solution approaches have been developed. With …

Scheduling of resource allocation systems with timed Petri nets: A survey

B Huang, M Zhou, XS Lu, A Abusorrah - ACM Computing Surveys, 2023 - dl.acm.org
Resource allocation systems (RASs) belong to a kind of discrete event system commonly
seen in the industry. In such systems, available resources are allocated to concurrently …

Machine learning and optimization for production rescheduling in Industry 4.0

Y Li, S Carabelli, E Fadda, D Manerba, R Tadei… - … International Journal of …, 2020 - Springer
Along with the fourth industrial revolution, different tools coming from optimization, Internet of
Things, data science, and artificial intelligence fields are creating new opportunities in …

Flow shop scheduling problems with assembly operations: a review and new trends

GM Komaki, S Sheikh, B Malakooti - International Journal of …, 2019 - Taylor & Francis
The past few years have witnessed a resurgence of interest in assembly flow shop
scheduling as evidenced by increasing number of published articles in this field. A basic …

Application of system dynamics for analysis of performance of manufacturing systems

TF Adane, MF Bianchi, A Archenti… - Journal of Manufacturing …, 2019 - Elsevier
Machining of parts by using dedicated production systems has been, and continues to be, a
viable manufacturing method. There are situations, however, where this type of system is not …

A Petri nets based generic genetic algorithm framework for resource optimization in business processes

YW Si, VI Chan, M Dumas, D Zhang - Simulation Modelling Practice and …, 2018 - Elsevier
Business process simulation (BPS) enables detailed analysis of resource allocation
schemes prior to actually deploying and executing the processes. Although BPS has been …

Injection mold production sustainable scheduling using deep reinforcement learning

S Lee, Y Cho, YH Lee - Sustainability, 2020 - mdpi.com
In the injection mold industry, it is important for manufacturers to satisfy the delivery date for
the products that customers order. The mold products are diverse, and each product has a …

Multi-objective evolutionary algorithm based flexible assembly job-shop rescheduling with component sharing for order insertion

J Sun, Z Zhang, G Zhang, Z Huang - Computers & Operations Research, 2024 - Elsevier
This paper addresses a rescheduling problem in an order-driven flexible assembly job-
shop, which encompasses a complete production line from machining to assembly. Some …

Job shop rescheduling with rework and reconditioning in Industry 4.0: an event-driven approach

G Mejía, C Montoya, S Bolívar, DA Rossit - The International Journal of …, 2022 - Springer
In this paper, we investigate the impact of rescheduling policies in the event of both rework
and reconditioning in job shop manufacturing systems. Since these events occur in …

Robust scheduling of flexible manufacturing systems with unreliable operations and resources

G Mejía, D Lefebvre - International Journal of Production Research, 2020 - Taylor & Francis
This paper addresses the topic of robust scheduling for flexible manufacturing systems
(FMS) with operation interruptions and unreliable resources. The proposed approach uses …