Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures : IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17-21, 2023, Proceedings, Part III

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Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures : IFIP WG 5.7 International Conference, APMS 2023, Trondheim, Norway, September 17-21, 2023, Proceedings, Part III

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  • 製本 Hardcover:ハードカバー版/ページ数 861 p.
  • 商品コード 9783031436697

Full Description

This 4-volume set, IFIP AICT 689-692, constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2023, held in Trondheim, Norway, during September 17-21, 2023.
The 213 full papers presented in these volumes were carefully reviewed and selected from a total of 224 submissions. They were organized in topical sections as follows: 

Part I : Lean Management in the Industry 4.0 Era; Crossroads and Paradoxes in the Digital Lean Manufacturing World; Digital Transformation Approaches in Production Management; Managing Digitalization of Production Systems; Workforce Evolutionary Pathways in Smart Manufacturing Systems; Next Generation Human-Centered Manufacturing and Logistics Systems for the Operator 5.0; and SME 5.0: Exploring Pathways to the Next Level of Intelligent, Sustainable, and Human-Centered SMEs.

Part II : Digitally Enabled and Sustainable Service and Operations Management in PSS Lifecycle; Exploring Digital Servitization in Manufacturing; Everything-as-a-Service (XaaS) Business Models in the Manufacturing Industry; Digital Twin Concepts in Production and Services; Experiential Learning in Engineering Education; Lean in Healthcare; Additive Manufacturing in Operations and Supply Chain Management; and Applications of Artificial Intelligence in Manufacturing.

Part III : Towards Next-Generation Production and SCM in Yard and Construction Industries; Transforming Engineer-to-Order Projects, Supply Chains and Ecosystems; Modelling Supply Chain and Production Systems; Advances in Dynamic Scheduling Technologies for Smart Manufacturing; and Smart Production Planning and Control.

 Part IV : Circular Manufacturing and Industrial Eco-Efficiency; Smart Manufacturing to Support Circular Economy; Product Information Management and ExtendedProducer Responsibility; Product and Asset Life Cycle Management for Sustainable and Resilient Manufacturing Systems; Sustainable Mass Customization in the Era of Industry 5.0; Food and Bio-Manufacturing; Battery Production Development and Management; Operations and SCM in Energy-Intensive Production for a Sustainable Future; and Resilience Management in Supply Chains.

 

Contents

​Towards Next-Generation Production and SCM in Yard and Construction Industries.- Towards a Concept for Digitalized Yard Logistics—Outlining the Next-Generation Features.- Requirement Analysis and Concept Design of a Smart Mobile Factory for Infrastructure Projects.- Management and Emerging Technology in Maritime Logistics: A Lewin Force Field Analysis.- Streamlining the Execution of Maritime Commissioning with a Digital Assistance System.- Transforming Engineer-to-Order Projects, Supply Chains, and Ecosystems.- Challenges and Opportunities of Software-based Production Planning and Control for Engineer-to-Order Manufacturing.- Towards the Digital Factory Twin in Engineer-to-Order Industries: A Focus on Control Cabinet Manufacturing.- Has the Pendulum Swinged Too Much from JIT o JIC in the Aftermaths of Covid-19?.- Integrating Lean, Agile, Resilient and Green Supply Chain Management in Engineer-to-Order Contexts: Insights from Expert Interviews.- Investigating On-Site Production in Construction Using Decoupling Thinking.- Clarifying the Interface between Construction Supply Chain and Site - A Key to Improved Delivery Efficiency.- Capability Building Blocks for Digital Twin Development.- Underlying Mechanisms for Planning Engineering Capacity and Load in an Engineer-to-Order Context.- Exploring Challenges in a Low-Volume Product Industrialization Process - A Railway Case Study.- Performance Management Collaboration between Companies Involved in the Industrialised Housebuilding Order Fulfilment Process.- Industry 4.0 Application in ETO Companies: An Empirical Comparison.- The Resilience of an ETO Archetype to Demand Shocks.- Modelling Supply Chain and Production Systems.- A Location-Routing Problem: Last-Mile Delivery with Drop-off Facilities for Return.- Cost Evaluation of a (Q, r, K) Inventory Model with Two Demand Classes of Lost Sales and Backorders.- Business Models for Electric Vehicle Fixed Charging Station Infrastructure with Commercial & Non-Commercial Uses.- Implementation of a Quality Cost Management Model: Case Study from the Textile Industry Sector.- Optimal Production Planning of Ice-food Under Production, Backordering and Renewal Conditions.- Sustainable and Economic Success Factors for Urban Consolidation Centres of Last-Mile Delivery in the Netherlands.- Automating Loading and Unloading for Autonomous Transport: Identifying Challenges and Requirements with a Systems Approach.- Optimal Class-based Storage System with Diagonal Movements.- Algorithms and Models for Automated Replenishment of Store Shelves - Exploratory Research.- A Simulation Optimization Approach to Inventory Optimization in Supply Chain Networks.- Design of Reconfigurable Cellular Manufacturing Systems with Alternative Routing.- Investigating the Sustainable Development of Charging Stations forPlug-in electric vehicles: A System Dynamics Approach.- Pricing Strategy of Apparel Supply Chain Considering Traceability Awareness of Consumers Driven by Blockchain.- Advances in Dynamic Scheduling Technologies for Smart Manufacturing.- Scheduling Algorithm using Path Relinking in Different Search Paths for Production Process with Crane Interference.- Buffer Sizing and Route Scheduling for Reliable Autonomous Vehicle Operations in a Dynamic Environment.- Beyond the Lab: Exploring the Socio-Technical Implications of Machine Learning in Biopharmaceutical Manufacturing.- A Constraint Programming Model for a Reconfigurable Job Shop Scheduling Problem with Machine Availability.- Prediction of Residual Dye using Machine Learning Algorithms for an Eco-friendly Dyeing Process.- Applying Multi-agent Reinforcement Learning and Graph Neural Networks to Flexible Job Shop Scheduling Problem.- Enhancing Operations Planning and Scheduling in Dynamic Production Systems by Using CLIP.- Data-driven Analysis and Assignment of Manual Assembly Production Lines.- NSGA-II for Solving a Multi-objective, Sustainable and Flexible Job Shop Scheduling Problem.- AI Vision Use Case for Digital Twin WIP Tracking in Heavy Industry.- An Improved Method of Job Shop Scheduling Considering Reworking and Reprocessing based on Proactive Approach.- Optimized Task Planning of Transfer Robots using Reinforcement Learning.- Adaptive Traffic Signal Control for a Mixed Autonomous and Traditional Vehicles by Agent-based Digital Twin Simulation.- Data Preparation for AI-Assisted Video Analysis in Manual Assembly Task: A Step Towards Industry 5.0.- Reactive Flexible Job Shop Problem with Stress Level ‎Consideration.- Smart Production Planning and Control.- Does Regulating Work-In-Process Increase Throughput and Reduce Cycle Times? An Assessment by Lab Scale System Models.- Systems Thinking Approachfor Production Process Optimization based on KPI Interdependencies.- Modeling of a Matrix Production System for Simulation to Predict Material Demand.- Data-driven Production Logistics: Future Scenario in Two Swedish Companies based on Discrete Event Simulation.- Setup Time Prediction using Machine Learning Algorithms: A Real-world Case Study.- Simple Analysis of Planning Quality in Production Logistics.- Planning and Control of Maritime Commissioning - Planning Concept.- Requirements Planning in the New Normal: Comparison between Reorder Point Method and DDMRP.- Towards Smart Maintenance and Integrated Production-Remanufacturing Planning.- Smart Production Planning and Control; Concept for Improving Planning Quality with Production Feedback Data.- Spare Parts Demand Prediction by using a Random Forest approach.- Artificial Intelligence of Things (AIoT) Strategies for a Smart Sustainable-Resilient Supply Chain.- PPC-Layout and Order Net - Visualization for a rapid PPC Analysis and Design.- Interfaces between the Factory Planning Process and the Quality Management for an Optimized Planning Outcome.- Production Scheduling using Production Feedback Data; An Illustrative Case Study.

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