20.500.12556/DKUM-25885 Advances in production engineering & management Advances in production engineering and management menedžment proizvodno strojništvo true true false Fakulteta za strojništvo, Inštitut za proizvodno strojništvo Angleški jezik Angleški jezik Neznano 2012-05-31 10:56:43 2012-05-31 10:56:43 2026-03-13 12:17:27 2026-03-14 03:12:56 2006 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1854-6250 005 229859072 URN:SI:UM:DK:VWVK2HLX http://apem-journal.org/ 1 https://dk.um.si/Dokument.php?lang=slv&id=34767 Fakulteta za strojništvo Joint distribution models in fast-moving consumer goods wholesale enterprise: Comparative analysis and a case study Improved genetic algorithm (VNS-GA) using polar coordinate classification for workload balanced multiple traveling salesman problem (mTSP) Hybrid ANFIS-Rao algorithm for surface roughness modelling and optimization in electrical discharge machining Designing a warehouse internal layout using a parabolic aisles based method Bone drilling with internal gas cooling: Experimental and statistical investigation of the effect of cooling with CO2 on reduction of temperature rise due to drill bit wear A multi-objective optimal decision model for a green closed-loop supply chain under uncertainty: A real industrial case study A new management approach based on Additive Manufacturing technologies and Industry 4.0 requirements The implications of product modularisation on the development process, supplier integration and supply chain design in collaborative product development Optimization of a multi-objective location model of manufacturing base considering cooperative manufacturing capabilities and service benefits Multi-objective automated guided vehicle scheduling based on MapReduce framework Exploring the link between project management approach and project success dimensions: A structural model approach A conceptual model for measuring the competency level of small and medium-sized enterprises An approach to maintenance sustainability level assessment integrated with Industry 4.0 technologies using Fuzzy-TOPSIS: a real case study Study on scheduling and path planning problems of multi-AGVs based on a heuristic algorithm in intelligent manufacturing workshop A plant simulation approach for optimal resource utilization: a case study in the tire manufacturing industry Supply chain coordination contract design: the case of farmer with capital constraints and behavioral preferences Machinability analysis and multi-response optimization using NGSA-II algorithm for particle reinforced aluminum based metal matrix composites Ultrasonic abrasive polishing of additive manufactured parts Verification of intelligent scheduling based on deep reinforcement learning for distributed workshops via discrete event simulation Monte Carlo Tree Search improved Genetic Algorithm for unmanned vehicle routing problem with path flexibility Cause-related marketing strategy in a supply chain A bi-objective optimization of airport ferry vehicle scheduling based on heuristic algorithm: a real data case study Supply chain coordination based on the probability optimization of target profit End-of-line delivery vehicle routing optimization based on large-scale neighbourhood search algorithms considering customer-consumer delivery location preferences Demand prediction and optimization of workshop manufacturing resources allocation: a new method and a case study Impact of Cobot parameters on the worker productivity Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming Sustainability and digitalisation A method for prediction of S-N curve of spot-welded joints based on numerical simulation A two-stage construction heuristic approach for vehicle routing problem with split deliveries and pickups The influence of artificial intelligence technology judicial decision reasoning on contract performance in manufacturing supply chain: a simulation analysis using Evolutionary Game approach Modelling of multiple surface roughness parameters during hard turning: a comparative study between the kinematical-geometrical copying approach and the design of experiments method (DOE) The role of agility in responding to uncertainty: a cognitive perspective Multi-objective Intuitionistic Fuzzy Linear Programming model for optimization of industrial closed-loop supply chain network Modelling surface roughness in finish turning as a function of cutting tool geometry using the response surface method, Gaussian process regression and decision tree regression Last-mile delivery optimization considering the demand of market distribution methods: a case studies using Adaptive Large Neighborhood Search algorithm Analysis of the impact of COVID-19 on the coupling of the material flow and capital flow in a closed-loop supply chain A dynamic job-shop scheduling model based on deep learning A new approach for quality prediction and control of multistage production and manufacturing process based on Big Data analysis and Neural Networks Experimental determination of influences on a gauge block’s stack length Factors affecting Quality 4.0 implementation in Czech, Slovak and Polish organizations Optimal logistics scheduling with dynamic information in emergency response: case studies for humanitarian objectives Project portfolio management in telecommunication company Optimization of machining performance in deep hole boring: a study on cutting tool vibration and dynamic vibration absorber design A game theory analysis of intelligent transformation and sales mode choice of the logistics service provider Impact of agile, condition-based maintenance strategy on cost efficiency of production systems An improved deep reinforcement learning approach: a case study for optimisation of berth and yard scheduling for bulk cargo terminal A feed direction cutting force prediction model and analysis for ceramic matrix composites C/SiC based on rotary ultrasonic profile milling 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 Engineering-to-order manufacturing When core sorting and quality grading is beneficial to remanufacturers: Insights from analytical models Hybrid forecasting modelling of cost and time entities for planning and optimizing projects in the die-cast aluminium industry Genetic algorithm-based approach for makespan minimization in a flow shop with queue time limits and skip-ping jobs Real-time scheduling for dynamic workshops with random new job insertions by using deep reinforcement learning A NSGA-II based approach for multi-objective optimization of a reconfigurable manufacturing transfer line supported by Digital Twin Supply chain game analysis based on mean-variance and price risk aversion under different power structures Design and operations framework for the Twin Transition of manufacturing systems Spatial position recognition method of semi-transparent and flexible workpieces Supply chain engineering Hierarchical hybrid simulation optimization of the pharmaceutical supply chain Impact of fairness concerns on resource-sharing decisions A transfer learning approach to machine learning-based end-of-line quality inspection Unsupervised machine learning application in the selection of measurement strategy on Coordinate Measuring Machine A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems Flexible job-shop scheduling problem with parallel operations using reinforcement learning: an approach based on heterogeneous graph attention networks Optimization of reliability and speed of the end-of-line quality inspection of electric motors using machine learning Experimental and numerical investigation of the deep drawing process using a tractrix die – an industrial case study focused on stress and temperature analysis Evolutionary game analysis of green innovation in E-commerce closed-loop supply chain WEEE recycling Optimizing emergency home healthcare scheduling with improved Quantum-behaved Particle Swarm Optimization Integrated optimization of line planning and timetabling on high-speed railway network considering cross-line operation The investigation of production variance in a module-based assembly system: a Markovian arrival process approach FDM process parameter selection by hybrid MCDM approach for flexural and compression strength maximization A comparative study of machine learning regression models for production systems condition monitoring Predicting the deep drawing process of TRIP steel grades using multilayer perceptron artificial neural networks Research on recovery strategies of supply chain network under disruption propagation using memetic algorithm Human-robot collaboration assembly line balancing considering cross-station tasks and the carbon emissions An improved multi-objective firefly algorithm for integrated scheduling approach in manufacturing and assembly considering time-sharing step tariff How competitive pressures and technological innovations shape organizational practices: insights from the European manufacturing survey An optimized production assignment algorithm for custom-made garments A multi-objective approach for optimizing emergency material locations in natural disasters The most commonly used Industry 4.0 technologies in manufacturing: a systematic literature review Using large language models (LLMs) to support simulation-based optimization in supply chain management Tripartite evolutionary game analysis of the adoption of AI delivery technology A multi-objective feature selection and self-paced ensemble framework for semiconductor defect detection Synergistic effects of biomass and coal dust co-combustion on explosion safety Influence of cutting-edge tip geometry on the tool–workpiece electrical contact resistance Dynamic Harris Hawks optimization and deep reinforcement learning framework for autonomous vehicle path planning Manufacturing process quality prediction via temporal knowledge graph reasoning with adaptive multi-scale temporal path fusion and self-attention mechanism Precision blade manufacturing: small-sample prediction and optimization using improved meta-learning and Particle Swarm Optimization Two-echelon drone–truck collaborative TSP-based routing for humanitarian logistics with time windows and stochastic demand Optimizing cooperation strategies for new energy vehicle manufacturers and technology suppliers: A game theory approach Optimizing abrasive water jet milling of alumina ceramics with RBF neural networks Impact of machining parameters on surface roughness in CNC hardwood milling: A multivariate approach Golden drop algorithm: A water wave and golden ratio inspired novel metaheuristic for global Low-carbon multimodal vehicle logistics route optimization with timetable limit using Particle Swarm Optimization Enhanced product defect forecasting using partitioned attributes and ensemble machine learning Privacy-preserving AI-based framework for container transportation demand forecasting in sea-rail intermodal systems Analysis and optimization of micro-milling parameters for improving part quality in ultrafine graphite with varying workpiece inclination angles Independent vs. collaborative blockchain research and development: operational decisions in food supply chains Enhancing manufacturing excellence with Lean Six Sigma and zero defects based on Industry 4.0 A imatheuristic approach combining genetic algorithm and mixed integer linear programming model for production and distribution planning in the supply chain An innovative framework for sustainable and centralized material procurement management based on a full-domain set theory An algorithmic review of the technological progress and milestones in resource-constrained project planning Integrated production and maintenance policy for manufacturing systems prone to products' quality degradation Sustainable design of products: balancing quality, life cycle impact, and social responsibility Optimizing electric vehicle charging strategies using multi-layer perception-based spatio-temporal prediction of charging station loading A bi-objective Genetic Algorithm for flexible flow shop scheduling: a real-world application in the electrical industry Improved Whale Optimization Algorithm for supply chain financial risk assessment of cloud warehouse platform Enhancing calibration accuracy with laser interferometry for high-resolution measuring systems Modelling and optimization of dimensional accuracy and surface roughness in dry turning of Inconel 625 alloy Optimizing obstacle avoidance path planning for intelligent mobile robots in multi-obstacle environments Machine learning for enhancing manufacturing quality control in ultrasonic nondestructive testing Enhancing workplace safety and ergonomics with motion capture systems: Present state and a case study Optimization of cold chain multimodal transportation routes considering carbon emissions under hybrid uncertainties Dynamic scheduling for manufacturing workshops using digital twins, competitive particle swarm optimization, and siamese neural networks Characterizing the effects of SiC and ▫$Al_2O_3$▫ on the mechanical properties of Al6082 hybrid metal matrix composites: an experimental and neural network approach Simulation analysis of dual-end queuing ride-hailing system considering driver-side queue management Optimization of reverse logistics network for end-of-life vehicles: a Shanghai case study Current state and production characteristics of the Polish tanning industry: a case study Configuring supply chain governance and digital capabilities for resilience: Evidence from the manufacturing sector Measuring the coordinated development of the advanced manufacturing cluster based on patent data: A composite system approach Mass customization in practice: Strategic implementation and insights from Polish small and medium sized Reinforcement learning for robot manipulation tasks in human-robot collaboration using the CQL/SAC algorithms From zero to one: a new perspective on the fuzzy front end of innovation and the Stage-Gate® model Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplaces Numerical study of racking resistance of timber-made double-skin façade elements Reduction of surface defects by optimization of casting speed using genetic programming Optimizing smart manufacturing systems using digital twin Development of a flexible tooling system for sheet metal bending Evolutionary game analysis of company collaborative strategy in cloud manufacturing platform environment Effect of printing parameters on the mechanical behaviour of the thermoplastic polymer processed by FDM technique: a research review Financing and information sharing in capital-constrained supply chain A gold nanoparticles and hydroxylated fullerene water complex as a new product for cosmetics Optimization approaches for solving production scheduling problem: a brief overview and a case study for hybrid flow shop using genetic algorithms Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: a new approach and case study in the automotive industry Supply chain information coordination based on blockchain technology: a comparative study with the traditional approach Incentive modeling analysis in engineering applications and projects with stochastic duration time Modelling and simulation of hot direct extrusion process for optimal product characteristics: single and multi-response optimization approach IoT-based Deep Learning Neural Network (DLNN) algorithm for voltage stability control and monitoring of solar power generation Dynamic price competition market for retailers in the context of consumer learning behavior and supplier competition: machine learning-enhanced agent-based modeling and simulation A new multi-objective optimization approach for process parameters optimization during numerical simulation of quenching steel parts Optimizing rock breaking performance: the influence of chamfer on polycrystalline diamond compact (PDC) cutters A combined genetic algorithm and A* search algorithm for the electric vehicle routing problem with time windows Simulation and genetic algorithm-based approach for multi-objective optimization of production planning: a case study in industry 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 Blockchain-based tripartite evolutionary game study of manufacturing capacity sharing An improved discrete particle swarm optimization approach for a multi-objective optimization model of an urban logistics distribution network considering traffic congestion Ranking dominant losses in small and medium-sized enterprises (SMEs) in the context of the lean concept application Optimal path planning of a disinfection mobile robot against COVID-19 in a ROS-based research platform Latent class analysis for identification of occupational accident casualty profiles in the selected Polish manufacturing sector Impact of Industry 4.0 on decision-making in an operational context A comparative study of different pull control strategies in multi-product manufacturing systems using discrete event simulation Molecular-dynamics study of multi-pulsed ultrafast laser interaction with copper A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study Using augmented reality devices for remote support in manufacturing: Case study and analysis A deep learning-based worker assistance system for error prevention: Case study in a real-world manual assembly A multi-objective selective maintenance optimization method for series-parallel systems using NSGA-III and NSGA-II evolutionary algorithms Recharging and transportation scheduling for electric vehicle battery under the swapping mode Simulation-based optimization of coupled material–energy flow at ironmaking-steelmaking interface using One-Ladle Technique Tactical manufacturing capacity planning based on discrete event simulation and throughput accounting: A case study of medium sized production enterprise Increasing Sigma levels in productivity improvement and industrial sustainability with Six Sigma methods in manufacturing industry: A systematic literature review A smart Warehouse 4.0 approach for the pallet management using machine vision and Internet of Things (IoT): A real industrial case study Using the gradient boosting decision tree (GBDT) algorithm for a train delay prediction model considering the delay propagation feature A new solution to distributed permutation flow shop scheduling problem based on NASH Q-Learning Modeling and optimization of finish diamond turning of spherical surfaces based on response surface methodology and cuckoo search algorithm The impact of the collaborative workplace on the production system capacity: Simulation modelling vs. real-world application approach Optimization of disassembly line balancing using an improved multi-objective genetic algorithm Modelling and optimization of sulfur addition during 70MnVS4 steelmaking: An industrial case study Enhancing racking stiffness in tall timber buildings using double-skin façades: A numerical investigation Improving AGV path planning efficiency using Genetic Algorithms with Hamming distance-based initialization Large language models for G-code generation in CNC machining: A comparison of ChatGPT-3.5 and ChatGPT-4o Numerical study of racking resistance of timber-made double-skin façade 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