Buchumschlag

Simulation, Modeling, and Decision-Making Processes in Manufacturing Systems and Industrial Engineering

Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged—one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of...

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Gespeichert in:
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2026
Schlagworte:
Ocean thermal energy conversion
Radial turbine
Static analysis
Structural design
Modal analysis
Seru scheduling
Worker cooperation
Learning effects
Shuffled frog leaping algorithm
3 × 3 matrix
BOST survey
Statistical analysis
Process improvement
Quality 4.0
Industry 4.0
Mechanical engineering
Square cup drawing
Limiting deep drawing ratio (LDR)
Punch shape factor
FE simulation
Conical dies
Deep drawing
Northern European
Data Envelopment Analysis
Renewable energy
Behavioral coefficient
Coffee industry
Grey forecasting
Grey Fourier series
Supplier selection
Single-objective linear programming
Simulation
Sustainability
Industry
Economic
Environmental
Particle swarm optimization
Ammonia emission
Granulation
Urea fertilizer
Type-B sleeve
Suspended pipeline
Mechanical behavior
Numerical simulation
Combinatorial optimization
Filling process optimization
Makespan minimization
Mathematical modelling
Scheduling and sequencing
Yogurt filling machine
Reversible instance normalization (RevIN)
Convolutional neural network (CNN)
Transformer
Time coding
Travel distance optimization
Warehouse operations
Order picking optimization
Genetic algorithm
Simulated annealing
SIFT algorithm
Canny edge detection
Image registration
Gaussian separation
Integral image
Risk assessment
Fire risk
Battery manufacturing
Automotive industry
Lead-acid batteries
Oil refinery
Maintenance strategy selection
Overall equipment efficiency (OEE)
Multi-criteria decision-making
Vietnam oil and gas industry
Hydrogen
Palladium
Membrane
Permeate
Retentate
Syngas
Reduced-order model
IGCC
Chemical
Processes
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thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJC Business strategy
thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas
Online-Zugang:ONIX_20260416T142754_9783725862108_2
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Zusammenfassung:Within the dynamic and ever-evolving landscape of manufacturing systems and industrial engineering, an unparalleled synergy has emerged—one that wields the power to redefine the boundaries of innovation and optimization. At the heart of this transformative confluence lies the seamless integration of simulation, modeling, and decision-making processes, collectively constituting a driving force that propels the industrial world toward unprecedented efficiency, resilience, and sustainability. In this era of relentless technological advancement, characterized by the rapid emergence of Industry 4.0, smart factories, and the relentless pursuit of excellence in industrial processes, the marriage of simulation, modeling, and decision-making has taken center stage. These intertwined disciplines not only illuminate the path toward innovation, but also serve as indispensable tools for understanding, optimizing, and reimagining the complex fabric of manufacturing systems and industrial engineering. This Special Issue delves into the heart of contemporary manufacturing and industrial engineering, where simulation techniques, advanced modeling approaches, and astute decision-making strategies converge to address the multifaceted challenges of our times.

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