Literature review on using data mining in production planning and scheduling within the context of cyber physical systems
PM Seeger, Z Yahouni, G Alpan - Journal of Industrial Information …, 2022 - Elsevier
Within the context of Industry 4.0, Cyber Physical Systems (CPS) are defined as
technologies that can manage interconnected systems between its physical assets and …
technologies that can manage interconnected systems between its physical assets and …
Extraction of dispatching rules for single machine total weighted tardiness using a modified genetic algorithm and data mining
This paper introduces novel heuristics for the resolution of the single machine problem with
total weighted tardiness by combining data mining and genetic algorithms. The aim of this …
total weighted tardiness by combining data mining and genetic algorithms. The aim of this …
Multiple priority dispatching rules for the job shop scheduling problem
In this paper we focus on the Job Shop Scheduling Problem (JSSP) using Priority
Dispatching Rules. Simulation model for makespan optimization is proposed using different …
Dispatching Rules. Simulation model for makespan optimization is proposed using different …
A data mining based dispatching rules selection system for the job shop scheduling problem
Identifying the best Dispatching Rule in order to minimize makespan in a Job Shop
Scheduling Problem is a complex task, since no Dispatching Rule is better than all others in …
Scheduling Problem is a complex task, since no Dispatching Rule is better than all others in …
Application of data mining algorithm in job shop scheduling problem
Y WANG, Y ZHAO, W LIU - Computer Integrated Manufacturing …, 2024 - cims-journal.cn
To extract dispatching rules from the ever-increasing workshop production data for guiding
production scheduling tasks, a scheduling algorithm based on data mining was proposed …
production scheduling tasks, a scheduling algorithm based on data mining was proposed …
[HTML][HTML] Evolving Dispatching Rules in Improved BWO Heuristic Algorithm for Job-Shop Scheduling
Z Zhang, X **, Y Wang - Electronics, 2024 - mdpi.com
In this paper, an improved Beluga Whale Optimization algorithm based on data mining and
scheduling rules with AdaBoost (IBWO-DDR-AdaBoost) rule heuristic scheduling method for …
scheduling rules with AdaBoost (IBWO-DDR-AdaBoost) rule heuristic scheduling method for …
[PDF][PDF] Pointer networks for solving the permutation flow shop scheduling problem
P Zheng, L Zuo, J Wang, J Zhang - Proceedings of the 48th …, 2018 - researchgate.net
The permutation flow shop scheduling problem (PFSP) which is known to be NP-hard has
been widely investigated in recent years. We present an end-to-end framework for solving …
been widely investigated in recent years. We present an end-to-end framework for solving …
[PDF][PDF] Classification rules for the job shop scheduling problem with machine breakdowns
N Said, W Mouelhi, K Ghedira - International Journal of Information and …, 2015 - ijiee.org
This paper addresses the job shop scheduling problem in the presence of machine
breakdowns. In this work, we propose to exploit the advantages of data mining techniques to …
breakdowns. In this work, we propose to exploit the advantages of data mining techniques to …
[PDF][PDF] Efficient dispatching rules based on data mining for the single machine scheduling problem
In manufacturing the solutions found for scheduling problems and the human expert's
experience are very important. They can be transformed using Artificial Intelligence …
experience are very important. They can be transformed using Artificial Intelligence …
[PDF][PDF] A real time data mining rules selection model for the job shop scheduling problem
ABSTRACT Finding the best Dispatching Rule for a Job Shop Scheduling Problem is a
tedious task, both time and cost consuming. Since there is no rule that can outperform the …
tedious task, both time and cost consuming. Since there is no rule that can outperform the …