Advances in Production Engineering & Management

Papers
(The TQCC of Advances in Production Engineering & Management is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Development of a flexible tooling system for sheet metal bending10
A modified bi-objective NSGA-II approach to sustainability in reconfiguration planning of dynamic cellular manufacturing systems9
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 study9
Optimizing abrasive water jet milling of alumina ceramics with RBF neural networks8
Cause-related marketing strategy in a supply chain: A theoretical analysis and a case study7
Improved Whale Optimization Algorithm for supply chain financial risk assessment of cloud warehouse platform7
Supply chain coordination based on the probability optimization of target profit7
Optimizing obstacle avoidance path planning for intelligent mobile robots in multi-obstacle environments7
Mass customization in practice: Strategic implementation and insights from Polish small and medium sized enterprises6
An algorithmic review of the technological progress and milestones in resource-constrained project planning6
Modelling surface roughness in finish turning as a function of cutting tool geometry using the response surface method, Gaussian process regression and decision tree regression6
Genetic algorithm-based approach for makespan minimization in a flow shop with queue time limits and skip-ping jobs6
Enhancing aerospace products quality with ISOMAP key factor identification6
An optimized production assignment algorithm for custom-made garments6
Multi-objective Intuitionistic Fuzzy Linear Programming model for optimization of industrial closed-loop supply chain network5
Hierarchical hybrid simulation optimization of the pharmaceutical supply chain5
A new approach for quality prediction and control of multistage production and manufacturing process based on Big Data analysis and Neural Networks5
Ranking dominant losses in small and medium-sized enterprises (SMEs) in the context of the lean concept application4
Machinability analysis and multi-response optimization using NGSA-II algorithm for particle reinforced aluminum based metal matrix composites4
Enhanced product defect forecasting using partitioned attributes and ensemble machine learning4
Configuring supply chain governance and digital capabilities for resilience: Evidence from the manufacturing sector4
Analysis and optimization of micro-milling parameters for improving part quality in ultrafine graphite with varying workpiece inclination angles3
The investigation of production variance in a module-based assembly system: A Markovian Arrival Process approach3
Reducing scrap in long rolled round steel bars using Genetic Programming after ultrasonic testing3
A game theory analysis of intelligent transformation and sales mode choice of the logistics service provider3
Study on scheduling and path planning problems of multi-AGVs based on a heuristic algorithm in intelligent manufacturing workshop3
Golden Drop Algorithm: A Water Wave and Golden Ratio inspired novel metaheuristic for global optimization3
Dynamic Harris Hawks Optimization and deep reinforcement learning framework for autonomous vehicle path planning3
Monte Carlo Tree Search improved Genetic Algorithm for unmanned vehicle routing problem with path flexibility3
An improved multi-objective firefly algorithm for integrated scheduling approach in manufacturing and assembly considering time-sharing step tariff3
Impact of agile, condition-based maintenance strategy on cost efficiency of production systems3
Evolutionary game analysis of green innovation in E-commerce closed-loop supply chain WEEE recycling2
Sustainable design of products: Balancing quality, life cycle impact, and social responsibility2
Measuring the coordinated development of the advanced manufacturing cluster based on patent data: A composite system approach2
Optimization of the rhomboidity of continuously cast billets using linear regression and genetic programming: A real industrial study2
Characterizing the effects of SiC and Al2O3 on the mechanical properties of Al6082 hybrid metal matrix composites: An experimental and neural network approach2
Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: A new approach and case study in the automotive industry2
Modelling and optimization of dimensional accuracy and surface roughness in dry turning of Inconel 625 alloy2
Enhancing calibration accuracy with laser interferometry for high-resolution measuring systems2
Spatial position recognition method of semi-transparent and flexible workpieces: A machine vision based on red light assisted2
Simulation and Genetic Algorithm-based approach for multi-objective optimization of production planning: A case study in industry2
Incentive modeling analysis in engineering applications and projects with stochastic duration time2
Experimental determination of influences on a gauge block’s stack length2
A bi-objective Genetic Algorithm for flexible flow shop scheduling: A real-world application in the electrical industry2
Dynamic price competition market for retailers in the context of consumer learning behavior and supplier competition: Machine learning-enhanced agent-based modeling and simulation2
An innovative framework for sustainable and centralized material procurement management based on a full-domain set theory2
Dynamic scheduling for manufacturing workshops using Digital Twins, Competitive Particle Swarm Optimization, and Siamese Neural Networks2
Financing and information sharing in capital-constrained supply chain2
Optimizing cooperation strategies for new energy vehicle manufacturers and technology suppliers: A game theory approach2
Ultrasonic abrasive polishing of additive manufactured parts: An experimental study on the effects of process parameters on polishing performance2
A comparative study of machine learning regression models for production systems condition monitoring2
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