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Št. zadetkov: 6
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)
ǂAn ǂimproved discrete particle swarm optimization approach for a multi-objective optimization model of an urban logistics distribution network considering traffic congestion
K. Li, D. Li, H. Q. Ma
Izvirni znanstveni članek
Oznake: distribucijsko omrežje mestne logistike;modeliranje;inteligenca roja;urban logistics distribution network;traffic congestion;optimization;modelling;multi-objective optimization;vehicle routing problem;VRP;swarm intelligence;discrete particle swarm optimization algorithm;DPSO;
To optimize urban logistics networks, this paper proposes a multi-objective optimization model for urban logistics distribution networks (ULDN). The model optimizes vehicle usage costs, transportation costs, penalty costs for failing to meet time windows, and carbon emission costs, while also consid ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Using the gradient boosting decision tree (GBDT) algorithm for a train delay prediction model considering the delay propagation feature
Y. D. Zhang, L. Liao, Q. Yu, W. G. Ma, K. H. Li
Izvirni znanstveni članek
Oznake: napoved zamud vlakov;podatki o dejanskem obratovanju vlakov;identifikacija tipa zakasnitve;ekstrakcija značilnosti širjenja zakasnitve;prostorsko združevanje aplikacij s šumom na podlagi gostote;naključni gozd;regresija podpornih vektorjev;train delay prediction;actual train operation data;delay type identification;delay propagation feature extraction;density-based spatial clustering of applications with noise (DBSCAN);k-nearest neighbor (KNN);gradient boosting decision tree (GBDT);random forest (RF);support vector regression (SVR);multilayer perceptron (MLP);
Accurate prediction of train delay is an important basis for the intelligent adjustment of train operation plans. This paper proposes a train delay prediction model that considers the delay propagation feature. The model consists of two parts. The first part is the extraction of delay propagation fe ...
Leto: 2021 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)
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)
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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