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
by
 
Alfnes, Erlend. editor.

Title
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

Author
Alfnes, Erlend. editor.

ISBN
9783031436703

Edition
1st ed. 2023.

Physical Description
XVII, 861 p. 239 illus., 149 illus. in color. online resource.

Series
IFIP Advances in Information and Communication Technology, 691

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.

Added Author
Alfnes, Erlend.
 
Romsdal, Anita.
 
Strandhagen, Jan Ola.
 
von Cieminski, Gregor.
 
Romero, David.

Added Corporate Author
SpringerLink (Online service)

Electronic Access
https://doi.org/10.1007/978-3-031-43670-3


LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book520612-1001XX(520612.1)Elektronik Kütüphane