Advances in production management systems Part 3
âTowards 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...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2023
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| Schriftenreihe: | IFIP advances in information and communication technology
691 |
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| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | âTowards 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 Availa 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 |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xvii, 861 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031436697 978-3-031-43669-7 |