E-raamat: 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

Towards Next-Generation Production and SCM in Yard and Construction
Industries.- Towards a Concept for Digitalized Yard LogisticsOutlining 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.