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Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Prod


Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Prod
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Lieferzeit: 7-14 Werktage

  • 10423624


Beschreibung

Advanced Modelling, Simulation and Data Analytics in Production and Supply Networks.- A Robust Multi-Commodity Rebalancing Process in Humanitarian Logistics.- Towards a unified reliability-centered information logistics model for production assets.- Characterization of energy consumers in production systems with renewable on-site power generation.- A simulation model supporting the production optimization for high-precision machines assembly.- Agent-Based Modeling and Analysis of Dynamic Slab Yard Management in a Steel Factory.- A Simulation Analysis of Part Feeding to Assembly Stations with Vertical Robotic Storage and Retrieval.- Process Mining in Manufacturing: Goals, Techniques and Applications.- Bayesian Modelling for Product Testing and Release.- Advanced, Digital and Smart Manufacturing.- The Use of Organizational Innovation Concepts in Manufacturing Companies.- Systems Engineering Approach to Identify Requirements for Digital Twins Development.- Manufacturing Operations Management for Smart Manufacturing - A Case Study.- Industry 4.0 on demand: a value driven methodology to implement Industry 4.0.- Gamification of Operational Tasks in Manufacturing - A Literature Review.- Technology Adoption in the Industry 4.0 Era: Empirical Evidence from Manufacturing Companies.- Towards the definition of an Impact Level factor of SME features over Digital Transformation.- Industry 4.0: maturity of automotive companies in Brazil for the digitization of processes.- General readiness assessment of Industry 4.0: Evidence from Serbian manufacturing industry.- Digital and Virtual Quality Management Systems.- Assembly issue resolution system using machine learning in aero engine manufacturing.- Introduction to Material Feeding 4.0: strategic, tactical, and operational impact.- Cloud-Manufacturing.- Cycle Time Estimation Model for Hybrid Assembly Stations based on Digital Twin Concept.- Cyber-Physical Production Systems and Digital Twins.- Digital Shadows as an enabler for the internet of production.- The transformation towards smart(er) factories: integration requirements of the digital twin.- IIOT Interoperability.- Towards inter-operable enterprise systems - graph-based validation of a context-driven approach for message profiling.- Supply Chain Planning and Optimization.- Software-based Assistance System for Decision Support on Supply Chain Level.- Integration of triple sustainable management by considering multi-period supply chain for next-generation fuel.- Potential benefits of Reverse Blending in the fertilizer industry.- Effectiveness of Vendor Managed Inventory [VMI] in Explosive Inventory Management.- Value chain integration - a framework for assessment.- A dynamic hybrid Berth Allocation Problem with routing constraints in bulk ports.- Blockchain-based secured collaborative model for supply chain resource sharing and visibility.- Gripper types and components in robotic bin picking.- A stochastic model for a two-level disassembly lot-sizing problem under random lead time.- Digital and Smart Supply Chain Management.- ERP in Industry 4.0 Context.- Identifying the opportunities for enhancing the digital readiness level of the supply chain.- Intelligent Logistics Networks Management.- The Role of Last-Mile Delivery in the Future of E-commerce.- Production-storage and transport integratedplanning for a multi-site mining industry.- Artificial Intelligence and Blockchain Technologies in Logistics and DSN.- Evaluating a Blockchain-based supply chain purchasing process through simulation.- Questionnaire model for paraconsistent quality assessment of software developed in Sales Force.- Novel Production Planning & Control Approaches.- Supporting the Decision of the Order Processing Strategy by using Logistic Models: A Case Study.- Order acceptance and scheduling with a throughput diagram.- Machine Learning and Artificial Intelligence.- Machine Learning-Supported Planning of Lead Times in Job Shop Manufacturing.- Connected, Smart Factories o

Eigenschaften

Breite: 160
Gewicht: 1244 g
Höhe: 46
Länge: 243
Seiten: 692
Sprachen: Englisch
Autor: Bojan Lalic, David Romero, Gregor von Cieminski, Ugljesa Marjanovic, Vidosav Majstorovic

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