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Št. zadetkov: 6
Optimization approaches for solving production scheduling problem
W. Xu, H. Y. Sun, A. L. Awaga, Y. Yan, Yu Jun Cui
Izvirni znanstveni članek
Oznake: optimizacija;načrtovanje prosizvodnje;genetski algoritmi;scheduling;production scheduling;hybrid flow shop;optimization;genetic algorithms;completion time;
The aim of this paper is to investigate scheduling problems in manufacturing. After a brief introduction to the modelling approach to the scheduling problem, the study focuses on the optimization approach to the scheduling problem. Firstly, the different optimization approaches are categorised and t ...
Leto: 2022 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Enhanced product defect forecasting using partitioned attributes and ensemble machine learning
Y. Y. Sun
Izvirni znanstveni članek
Oznake: inteligentna proizvodnja;procesna industrija;napovedovanje napak;analiza procesov;strojno učenje;intelligent manufacturing;process industry;industrial data mining;defect prediction;C5.0 decision tree algorithms;random forest;process-oriented analytics;machine learning;
This study addresses a critical challenge in industrial big data analytics for smart manufacturing: conventional machine learning methods often fail to account for data discontinuities caused by scrapped defective intermediates in multi-stage production processes, inadvertently treating non-conformi ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Real-time scheduling for dynamic workshops with random new job insertions by using deep reinforcement learning
Z. Y. Sun, W. M. Han, L. L. Gao
Izvirni znanstveni članek
Oznake: konvolucijske nevronske mreže;umetne nevronske mreže;globoko učenje;real-time scheduling;machine learning;deep reinforcement learning;DRL;spatial pyramid pooling layer;artificial neural networks;ANN;convolutional neural networks;CNN;
Dynamic real-time workshop scheduling on job arrival is critical for effective production. This study proposed a dynamic shop scheduling method integrating deep reinforcement learning and convolutional neural network (CNN). In this method, the spatial pyramid pooling layer was added to the CNN to ac ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Change impact analysis of complex product using an improved three-parameter interval grey relation model
W. M. Yang, C. D. Li, Y. H. Chen, Y. Y. Yu
Izvirni znanstveni članek
Oznake: proizvodnja;inženirirng;kompleksni izdelki;analiza vpliva sprememb;triparametrski interval siva številka;sivi relacijski model;metoda BWM (model najboljše-najslabše);Ginijeva metoda uteži;manufacturing;engineering;complex product;change impact analysis;three-parameter interval grey number;grey relational model;BWM method (best-worst model);Gini weighting method;
Change impact evaluation of complex product plays an important role in controlling change cost and improving change efficiency of engineering change enterprises. In order to improve the accuracy of engineering change impact evaluation, this paper introduces three-parameter interval grey number to ev ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Optimizing abrasive water jet milling of alumina ceramics with RBF neural networks
Y.T. Feng, Z.R. Shi, X. Yang, W. Huang, X. Luo, Y.H. Li, L. Yu
Izvirni znanstveni članek
Oznake: abrazivni vodni curek;rezkanje;natančna obdelava;abrasive water jet;AWJ;milling;alumina ceramic;precisio machining;material removal rate;single-factor experiment;orthogonal array;RFB neural network;
Abrasive water jet technology is an advanced machining method that combines high-pressure water jet with solid abrasives. Owing to its unique coldprocessing characteristics, high flexibility, and environmental bebefits, it has been widely applied in aerospace, medical devices, microelectronics, defe ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Optimization of disassembly line balancing using an improved multi-objective genetic algorithm
Y. J. Wang, N. D. Wang, S. M. Cheng, X. C. Zhang, H. Y. Liu, J. L. Shi, Q. Y. Ma, M. J. Zhou
Izvirni znanstveni članek
Oznake: montaža;razstavljanje;uravnoteženje linij;večciljna optimizacija;obnova;predelava izdelka;življenjski cikel izdelka;izboljšani genetski algoritmi;assembly;disassembly;line balancing;multi-objective optimization;remanufacturing;product recovery;product life cycle;NP-hard problem;improved genetic algorithm;
Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to recycle waste products, and it is a necessary condition to make the product life cycle complete. According to the characteristics of the pro ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 6
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