Advances in production management systems : Part III / 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. Erlend Alfnes, Anita Romsdal, Jan Ola Strandhagen, Gregor von Cieminski, David Romero, editors.

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 revie...

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Corporate Author: IFIP WG5.7 International Conference on Advances in Production Management Systems Trondheim, Norway
Other Authors: Alfnes, Erlend (Editor), Romsdal, Anita (Editor), Strandhagen, Jan Ola (Editor), Von Cieminski, Gregor (Editor), Romero, David (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2023.
Series:IFIP advances in information and communication technology ; 691.
Subjects:
Online Access:Click for online access

MARC

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245 1 0 |a Advances in production management systems :  |b 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.  |n Part III /  |c Erlend Alfnes, Anita Romsdal, Jan Ola Strandhagen, Gregor von Cieminski, David Romero, editors. 
246 3 |a APMS 2023 
264 1 |a Cham :  |b Springer,  |c 2023. 
300 |a 1 online resource (xvii, 861 pages) :  |b illustrations (some color). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IFIP Advances in Information and Communication Technology,  |x 1868-422X ;  |v 691 
505 0 |a 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. 
520 |a 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. 
504 |a Includes author index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed September 18, 2023). 
650 0 |a Production management  |x Data processing  |v Congresses. 
650 0 |a Artificial intelligence  |x Industrial applications  |v Congresses. 
650 0 |a Business logistics  |x Data processing  |v Congresses. 
650 7 |a Artificial intelligence  |x Industrial applications  |2 fast 
650 7 |a Business logistics  |x Data processing  |2 fast 
650 7 |a Production management  |x Data processing  |2 fast 
655 0 |a Electronic books. 
655 7 |a proceedings (reports)  |2 aat 
655 7 |a Conference papers and proceedings  |2 fast 
655 7 |a Conference papers and proceedings.  |2 lcgft 
655 7 |a Actes de congrès.  |2 rvmgf 
700 1 |a Alfnes, Erlend,  |e editor.  |1 https://orcid.org/0000-0002-9892-3916 
700 1 |a Romsdal, Anita,  |e editor.  |0 (orcid)0000-0002-2355-3754  |1 https://orcid.org/0000-0002-2355-3754 
700 1 |a Strandhagen, Jan Ola,  |e editor.  |1 https://orcid.org/0000-0003-3741-9000 
700 1 |a Von Cieminski, Gregor,  |e editor.  |1 https://orcid.org/0000-0001-9869-5055 
700 1 |a Romero, David,  |e editor.  |0 (orcid)0000-0003-3610-0751  |1 https://orcid.org/0000-0003-3610-0751 
776 0 8 |i Print version:  |a Alfnes, Erlend  |t Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures  |d Cham : Springer,c2023  |z 9783031436697 
830 0 |a IFIP advances in information and communication technology ;  |v 691.  |x 1868-422X 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-031-43670-3  |y Click for online access 
903 |a SPRING-ALL2023 
994 |a 92  |b HCD