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Advances in production management systemsproduction 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 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in production management systemsedited by Erlend Alfnes ... [et al.].
Reminder of title:	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.
remainder title:	APMS 2023
other author:	Alfnes, Erlend.
corporate name:
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xvii, 861 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Production managementCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-031-43670-3
ISBN:	9783031436703$q(electronic bk.)

Advances in production management systemsproduction 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 /
Advances in production management systemsproduction 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 /[electronic resource] :APMS 2023edited by Erlend Alfnes ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xvii, 861 p. :ill. (some col.), digital ;24 cm. - IFIP advances in information and communication technology,6911868-422X ;. - IFIP advances in information and communication technology ;370..

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 for Plug-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 Approach for 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.

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 Extended Producer 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.

ISBN: 9783031436703$q(electronic bk.)

Standard No.: 10.1007/978-3-031-43670-3doiSubjects--Topical Terms:

493792
Production management
--Data processing--Congresses.

LC Class. No.: TS155.6 / .I475 2023

Dewey Class. No.: 658.500285

Advances in production management systemsproduction 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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An Assessment by Lab Scale System Models -- Systems Thinking Approach for 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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