Advances in Production Engineering & Management
Volume 19 | Number 4 | December 2024 | pp 411–542
Contents
A bi-objective Genetic Algorithm for flexible flow shop scheduling: A real-world application in the electrical industry
Escobar, D.; Chivata, B.; Nino, K.
https://doi.org/10.14743/apem2024.4.516
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Reducing scrap in long rolled round steel bars using Genetic Programming after ultrasonic testing
Kovacic, M.; Zupanc, A.; Zuperl, U.; Brezocnik, M.
https://doi.org/10.14743/apem2024.4.517
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Optimizing electric vehicle charging strategies using multi-layer perception-based spatio-temporal prediction of charging station load
Wang, Y.N.; Zhang, Z.J.; Ping, A.; Wang, R.J.; Gong, D.Q.
https://doi.org/10.14743/apem2024.4.518
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Sustainable design of products: Balancing quality, life cycle impact, and social responsibility
Siwiec, D.; Gawlik, R.; Pacana, A.
https://doi.org/10.14743/apem2024.4.519
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An algorithmic review of the technological progress and milestones in resource-constrained project planning
Pourhejazy, P.; Ying, K.-C.; Cheng, C.-Y.
https://doi.org/10.14743/apem2024.4.520
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Integrated production and maintenance policy for manufacturing systems prone to products' quality degradation
BouAbid, H.; Dhouib, K.; Gharbi, A.
https://doi.org/10.14743/apem2024.4.521
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Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplaces
Ojstersek, R.; Javernik, A.; Buchmeister, B.
https://doi.org/10.14743/apem2024.4.522
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Advances in Production Engineering & Management
Volume 19 | Number 3 | September 2024 | pp 297–410
Contents
Dynamic scheduling for manufacturing workshops using Digital Twins, Competitive Particle Swarm Optimization, and Siamese Neural Networks
Weng, L.L.
https://doi.org/10.14743/apem2024.3.508
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Optimization of cold chain multimodal transportation routes considering carbon emissions under hybrid uncertainties
Hou, D.N.; Liu, S.C.
https://doi.org/10.14743/apem2024.3.509
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Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study
Vujica Herzog, N.; Buchmeister, B.; Park, J.; Kaya, Ö.
https://doi.org/10.14743/apem2024.3.510
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Machine learning for enhancing manufacturing quality control in ultrasonic nondestructive testing: A Wavelet Neural Network and Genetic Algorithm approach
Song, W.T.; Huo, L.
https://doi.org/10.14743/apem2024.3.511
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Optimizing obstacle avoidance path planning for intelligent mobile robots in multi-obstacle environments
Zhang, H.Q.
https://doi.org/10.14743/apem2024.3.512
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Modelling and optimization of dimensional accuracy and surface roughness in dry turning of Inconel 625 alloy
Vukelic, D.; Milosevic, A.; Ivanov, V.; Kocovic, V.; Santosi, Z.; Sokac, M.; Simunovic, G.
https://doi.org/10.14743/apem2024.3.513
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Enhancing calibration accuracy with laser interferometry for high-resolution measuring systems
Lipus, L.C.; Acko, B.; Klobucar, R.
https://doi.org/10.14743/apem2024.3.514
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Improved Whale Optimization Algorithm for supply chain financial risk assessment of cloud warehouse platform
Zhang, H.; Guo, Y.W.; Hou, Y.; Tang, L.; Deveci, M.
https://doi.org/10.14743/apem2024.3.515
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Advances in Production Engineering & Management
Volume 19 | Number 2 | June 2024 | pp 153–296
Contents
Flexible Job-shop Scheduling Problem with parallel operations using Reinforcement Learning: An approach based on Heterogeneous Graph Attention Networks
Lv, Q.H.; Chen, J.; Chen, P.; Xun, Q.F.; Gao, L.
https://doi.org/10.14743/apem2024.2.499
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Optimization of reliability and speed of the end-of-line quality inspection of electric motors using machine learning
Mlinarič, J.; Pregelj, B.; Boškoski, P.; Dolanc, G.; Petrovčič, J.
https://doi.org/10.14743/apem2024.2.500
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A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems
Sibanda, M.M.; Padayachee, J.
https://doi.org/10.14743/apem2024.2.501
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Unsupervised machine learning application in the selection of measurement strategy on Coordinate Measuring Machine
Štrbac, B.; Ranisavljev, M.; Orošnjak, M.; Havrlišan, S.; Dudić, B.; Savković, B.
https://doi.org/10.14743/apem2024.2.502
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Impact of fairness concerns on resource-sharing decisions: A comparative analysis using evolutionary game models in manufacturing enterprises
Xu, W.; Xu, S.; Liu, D.Y.; Awaga, A.L.; Rabia, A.; Zhang, Y.Y.
https://doi.org/10.14743/apem2024.2.503
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Current state and production characteristics of the Polish tanning industry: A case study
Bielak, E.; Zakrzewska, M.
https://doi.org/10.14743/apem2024.2.504
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Optimization of reverse logistics network for end-of-life vehicles: A Shanghai case study
Yao, J.
https://doi.org/10.14743/apem2024.2.505
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Simulation analysis of dual-end queuing ride-hailing system considering driver-side queue management
Tang, M.C.; Cao, J.; Gong, D.Q.; Xue, G.; Khoa, B.T.
https://doi.org/10.14743/apem2024.2.506
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Characterizing the effects of SiC and Al2O3 on the mechanical properties of Al6082 hybrid metal matrix composites: An experimental and neural network approach
Masood, A.A.; Ali, A.; Madhu, P.; Yashas Gowda, T.G.; Jeevan, T.P.; Sharath, B.N.
https://doi.org/10.14743/apem2024.2.507
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Advances in Production Engineering & Management
Volume 19 | Number 1 | March 2024 | pp 1–152
Contents
An improved multi-objective firefly algorithm for integrated scheduling approach in manufacturing and assembly considering time-sharing step tariff
Xu, E.B.; Zou, F.F.; Shan, P.P.; Wang, Z.Y.; Shi, B.X.
https://doi.org/10.14743/apem2024.1.489
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Research on recovery strategies of supply chain network under disruption propagation using memetic algorithm
Li, Z.Y.; Zhao, P.X.; Wang, C.L.; Mi, Y.Z.
https://doi.org/10.14743/apem2024.1.490
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Human-robot collaboration assembly line balancing considering cross-station tasks and the carbon emissions
Li, Y.C.; Wang, X.
https://doi.org/10.14743/apem2024.1.491
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Predicting the deep drawing process of TRIP steel grades using multilayer perceptron artificial neural networks
Sevšek, L.; Vilkovský, S.; Majerníková, J.; Pepelnjak, T.
https://doi.org/10.14743/apem2024.1.492
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The investigation of production variance in a module-based assembly system: A Markovian Arrival Process approach
Zhong, C.W.; Zhang, H.; Zhang, Z.W.; Wu, Z.Q.; Lu, M.L.
https://doi.org/10.14743/apem2024.1.493
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A comparative study of machine learning regression models for production systems condition monitoring
Jankovič, D.; Šimic, M.; Herakovič, N.
https://doi.org/10.14743/apem2024.1.494
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Evolutionary game analysis of green innovation in E-commerce closed-loop supply chain WEEE recycling
Ma, R.M.; Yao, L.F.; Wang, H.
https://doi.org/10.14743/apem2024.1.495
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FDM process parameter selection by hybrid MCDM approach for flexural and compression strength maximization
Begic-Hajdarevic, D.; Klančnik, S.; Muhamedagić, K.; Čekić, A.; Cohodar Husic, M.; Ficko, M.; Gusel, L.
https://doi.org/10.14743/apem2024.1.496
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Integrated optimization of line planning and timetabling on high-speed railway network considering cross-line operation
Wang, R.X.; Nie, L.; Fang, W.; Ren, H.Q.; Tan, Y.Y.
https://doi.org/10.14743/apem2024.1.497
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Experimental and numerical investigation of the deep drawing process using a tractrix die – An industrial case study focused on stress and temperature analysis
Mandic, V.; Milosavljevic, Dj.; Jurkovic, Z.; Adamovic, D.
https://doi.org/10.14743/apem2024.1.498
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