Advances in Production Engineering & Management
Volume 18 | Number 4 | December 2023 | pp 399–514
Contents
A combined genetic algorithm and A* search algorithm for the electric vehicle routing problem with time windows
Wang, D.L.; Ding, A.; Chen, G.L.; Zhang, L.
https://doi.org/10.14743/apem2023.4.481
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Optimizing rock breaking performance: The influence of chamfer on polycrystalline diamond compact (PDC) cutters
Ju, P.
https://doi.org/10.14743/apem2023.4.482
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Dynamic price competition market for retailers in the context of consumer learning behavior and supplier competition: Machine learning-enhanced agent-based modeling and simulation
Deng, G.F.
https://doi.org/10.14743/apem2023.4.483
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IoT-based Deep Learning Neural Network (DLNN) algorithm for voltage stability control and monitoring of solar power generation
Shweta, Raj; Sivagnanam, S.; Kumar, K.A.
https://doi.org/10.14743/apem2023.4.484
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Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: A new approach and case study in the automotive industry
Shi, J.L.; Lu, Z.C.; Xu, H.H.; Ren, M.M.; Shu, F.L.
https://doi.org/10.14743/apem2023.4.485
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Optimizing smart manufacturing systems using digital twin
Ojstersek, R.; Javernik, A.; Buchmeister, B.
https://doi.org/10.14743/apem2023.4.486
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Incentive modeling analysis in engineering applications and projects with stochastic duration time
Zhao, J.; Su, J.F.
https://doi.org/10.14743/apem2023.4.487
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Reduction of surface defects by optimization of casting speed using genetic programming: An industrial case study
Kovacic, M.; Zuperl, U.; Gusel, L.; Brezocnik, M.
https://doi.org/10.14743/apem2023.4.488
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Advances in Production Engineering & Management
Volume 18 | Number 3 | September 2023 | pp 267–398
Contents
An improved multi-objective Wild Horse optimization for the dual-resource-constrained flexible job shop scheduling problem: A comparative analysis with NSGA-II and a real case study
Peng, F.; Zheng, L.
https://doi.org/10.14743/apem2023.3.472
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A feed direction cutting force prediction model and analysis for ceramic matrix composites C/SiC based on rotary ultrasonic profile milling
Amin, M.; Rathore, M.F.; Ahmed, A.A.; Saleem, W.; Li, Q.; Israr, A.
https://doi.org/10.14743/apem2023.3.473
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An improved deep reinforcement learning approach: A case study for optimisation of berth and yard scheduling for bulk cargo terminal
Ai, T.; Huang, L.; Song, R.J.; Huang, H.F.; Jiao, F.; Ma, W.G.
https://doi.org/10.14743/apem2023.3.474
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Impact of agile, condition-based maintenance strategy on cost efficiency of production systems
Bányai, Á.
https://doi.org/10.14743/apem2023.3.475
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A game theory analysis of intelligent transformation and sales mode choice of the logistics service provider
Cao, G.M.; Zhao, X.X.; Gao, H.H.; Tang, M.C.
https://doi.org/10.14743/apem2023.3.476
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Factors affecting Quality 4.0 implementation in Czech, Slovak and Polish organizations: Preliminary research
Wawak, S.; Sütőová, A.; Vykydal, D.; Halfarová, P.
https://doi.org/10.14743/apem2023.3.477
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Project portfolio management in telecommunication company: A stage-gate approach for effective portfolio governance
Milenkovic, M.; Ciric Lalic, D.; Vujicic, M.; Pesko, I.; Savkovic, M.; Gracanin, D.
https://doi.org/10.14743/apem2023.3.478
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Optimization of machining performance in deep hole boring: A study on cutting tool vibration and dynamic vibration absorber design
Li, L.; Yang, D.L.; Cui, Y.M.
https://doi.org/10.14743/apem2023.3.479
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Optimal logistics scheduling with dynamic information in emergency response: Case studies for humanitarian objectives
Cao, J.; Han, H.; Wang, Y.J.; Han, T.C.
https://doi.org/10.14743/apem2023.3.480
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Advances in Production Engineering & Management
Volume 18 | Number 2 | June 2023 | pp 133–266
Contents
Real-time scheduling for dynamic workshops with random new job insertions by using deep reinforcement learning
Sun, Z.Y.; Han, W.M.; Gao, L.L.
https://doi.org/10.14743/apem2023.2.462
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Genetic algorithm-based approach for makespan minimization in a flow shop with queue time limits and skip-ping jobs
Han, J.H.; Lee, J.Y.
https://doi.org/10.14743/apem2023.2.463
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Hybrid forecasting modelling of cost and time entities for planning and optimizing projects in the die-cast aluminium industry
Muñoz-Ibañez, C.; Chairez, I.; Jimenez-Martinez, M.; Molina, A.; Alfaro-Ponce, M.
https://doi.org/10.14743/apem2023.2.464
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When core sorting and quality grading is beneficial to remanufacturers: Insights from analytical models
Cao, X.H.; Shi, X.L.; Lan, H.J.; Huang, D.
https://doi.org/10.14743/apem2023.2.465
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Engineering-to-order manufacturing: A criticality analysis of key challenges and solutions based on literature review
Fortes, C.S.; Tenera, A.B.; Cunha, P.F.; Teixeira, J.P.
https://doi.org/10.14743/apem2023.2.466
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Ranking dominant losses in small and medium-sized enterprises (SMEs) in the context of the lean concept application
Kondić, V.; Maglić, L.; Runje, L.; Marić, D.
https://doi.org/10.14743/apem2023.2.467
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An improved discrete particle swarm optimization approach for a multi-objective optimization model of an urban logistics distribution network considering traffic congestion
Li, K.; Li, D.; Ma, H.Q.
https://doi.org/10.14743/apem2023.2.468
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Blockchain-based tripartite evolutionary game study of manufacturing capacity sharing
Wang, T.Y.; Zhang, H.
https://doi.org/10.14743/apem2023.2.469
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Enhancing automated defect detection through sequential clustering and classification: An industrial case study using the Sine-Cosine Algorithm, Possibilistic Fuzzy c-means, and Artificial Neural Network
Nguyen, T.P.Q.; Yang, C.L.; Le, M.D.; Nguyen, T.T.; Luu, M.T.
https://doi.org/10.14743/apem2023.2.470
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Simulation and Genetic Algorithm-based approach for multi-objective optimization of production planning: A case study in industry
Bojic, S.; Maslaric, M.; Mircetic, D.; Nikolicic, S.; Todorovic, V.
https://doi.org/10.14743/apem2023.2.471
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Advances in Production Engineering & Management
Volume 18 | Number 1 | March 2023 | pp 1–132
Contents
An innovative framework for sustainable and centralized material procurement management based on a full-domain set theory
Ding, F.X.; Liu, S.F.; Li, X.W.
https://doi.org/10.14743/apem2023.1.453
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A matheuristic approach combining genetic algorithm and mixed integer linear programming model for production and distribution planning in the supply chain
Guzman, E.; Poler, R.; Andres, B.
https://doi.org/10.14743/apem2023.1.454
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Enhancing manufacturing excellence with Lean Six Sigma and zero defects based on Industry 4.0
Ly Duc, M.; Hlavaty, L.; Bilik, P.; Martinek, R.
https://doi.org/10.14743/apem2023.1.455
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Spatial position recognition method of semi-transparent and flexible workpieces: A machine vision based on red light assisted
Bi, Q.L.; Lai, M.L.; Chen, K.; Liu, J.M.; Tang, H.L.; Teng, X.B.; Guo, Y.Y.
https://doi.org/10.14743/apem2023.1.456
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Hierarchical hybrid simulation optimization of the pharmaceutical supply chain
Altarazi, S.; Shqair, M.
https://doi.org/10.14743/apem2023.1.457
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Supply chain engineering: Considering parameters for sustainable overseas intermodal transport of small consignments
Beškovnik, B.
https://doi.org/10.14743/apem2023.1.458
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Design and operations framework for the Twin Transition of manufacturing systems
van Erp, T.; Rytter, N.G.M.
https://doi.org/10.14743/apem2023.1.459
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Supply chain game analysis based on mean-variance and price risk aversion under different power structures
Wang, Y.L.; Yang, L.; Chen, J.H.; Li, P.
https://doi.org/10.14743/apem2023.1.460
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A NSGA-II based approach for multi-objective optimization of a reconfigurable manufacturing transfer line supported by Digital Twin: A case study
Ali, M.A.; Alarjani, A.; Mumtaz, M.A.
https://doi.org/10.14743/apem2023.1.461
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