國立虎尾科技大學 |

Advances in production management systems = production management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings.. Part V /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in production management systems/ edited by Matthias Thürer ... [et al.].
Reminder of title:	production management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings.
remainder title:	APMS 2024
other author:	Thürer, Matthias.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiv, 504 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Production management - Congresses. - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-71637-9
ISBN:	9783031716379

Advances in production management systems = production management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings.. Part V /
Advances in production management systemsproduction management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings.Part V /[electronic resource] :APMS 2024edited by Matthias Thürer ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xiv, 504 p. :ill. (chiefly color), digital ;24 cm. - IFIP advances in information and communication technology,7321868-422X ;. - IFIP advances in information and communication technology ;390..

Smart Manufacturing Assets as Drivers for the Twin Transition towards Green and Digital Business. -- From Vineyard to Smart Factory: The case for a Digital Innovation Hub in the Atacama Desert. -- Construction of a Demonstrator for Artificial Intelligence-supported, automated Dismantling of Battery Systems. -- Life Cycle Analysis for the concept design of a Smart Mobile Factory (SMF) for infrastructure construction projects. -- Exploring Agile Methods Application in Manufacturing. -- Optimization of Reconfigurable Manufacturing Systems Configuration using Constraint Programming. -- Key factors for sustainability along the lifecycle of smart Product Service Systems -- Engineering and managing AI for advances in asset lifecycle and maintenance management. -- Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. -- Adoption of AI-based systems in industrial maintenance: empirical evidences from an action research in the maintenance service business -- Transforming Engineer-to-Order Projects, Supply Chains, and Systems in Turbulent Times. -- Exploring the Hydrogen Transition within the Maritime Value Chains. -- Application of Circular strategies for ETO products. -- Yard Logistics: Framework and Classification of Yard Types. -- Methods and Tools to Achieve the Digital and Sustainable Servitization of Manufacturing Companies. -- Maturity Models for Servitization: A Systematic Literature Review. -- Towards Human-Centric Digital Services: A Development Framework. -- Quantitative assessment of Product-Service System sustainability: a literature review. -- Navigating the Shift: From Traditional Sales to Product- as-a-Service (PaaS) -- Transforming a new-build factory into a service operations workshop: A PDCA approach to change management in industrial servitization. -- Navigating Lifecycle Management Models: Testing of a lifecycle management framework for Product-Service Systems. -- Asset lifecycle management and digital servitization: A case study in machining. -- Open Knowledge Networks for Smart Manufacturing. -- Open Knowledge Networks for Smart Manufacturing. -- An Introduction to Machine Learning Lifecycle Ontology and its Applications. -- Open Manufacturing Capability Network Supported by Formal Ontologies. -- Open Data Framework for Energy Management and ISO certification in Smart Manufacturing Systems. -- Applications of Artificial Intelligence in Manufacturing. -- Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application. -- Leveraging LLMs for Information Extraction in Manufacturing. -- Development of Automated Negotiation Models for Suppliers using Reinforcement Learning. -- Robust Novel Defect Detection with Neuro-symbolic AI. -- Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review. -- Comparison of bipartite graph community detection algorithms for reducing variant diversity in production planning and control. -- Vibration-Based Operating Status Monitoring of a Production Line with Low-Cost IoT Devices. -- Intralogistics. -- A Simulation Study For Integrating Library Material Handling with Autonomous Mobile Robots. -- Dynamic multi-objective opti-state decision-making method for intermittent synchronized production operation system. -- Planning the tasks of an autonomous mobile robot fleet for internal logistics of production systems. -- Model-based system engineering approach to design customized puzzle-based movable rack systems.

The six-volume set IFIP AICT 728-729 constitutes the refereed proceedings of the 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024, held in Chemnitz, Germany, during September 8-12, 2024. The 201 full papers presented together were carefully reviewed and selected from 224 submissions. The APMS 2024 conference proceedings are organized into six volumes, covering a large spectrum of research addressing the overall topic of the conference "Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments". Part I: advancing eco-efficient and circular industrial practices; barriers and challenges for transition towards circular and sustainable production processes and servitized business models; implementing the EU green deal: challenges and solutions for a sustainable supply chain; risk analysis and sustainability in an uncertain system in a digital era. Part II: smart and sustainable supply chain management in the society 5.0 era; human-centred manufacturing and logistics systems design and management for the operator 5.0; inclusive work systems design: applying technology to accommodate individual workers' needs; evolving workforce skills and competencies for industry 5.0; experiential learning in engineering education. Part III: lean thinking models for operational excellence and sustainability in the industry 4.0 era; human in command - operator 4.0/5.0 in the age of AI and robotic systems; hybrid intelligence - decision-making for AI-enabled industry 5.0; mechanism design for smart and sustainable supply chains. Part IV: digital transformation approaches in production and management; new horizons for intelligent manufacturing systems with IoT, AI, and digital twins. Part V: smart manufacturing assets as drivers for the twin transition towards green and digital business; engineering and managing AI for advances in asset lifecycle and maintenance management; transforming engineer-to-Order projects, supply chains, and systems in turbulent times; methods and tools to achieve the digital and sustainable servitization of manufacturing companies; open knowledge networks for smart manufacturing; applications of artificial intelligence in manufacturing; intralogistics. Part VI: modelling supply chain and production systems; resilience management in supply chains; digital twin concepts in production and services; optimization; additive manufacturing; advances in production management systems.

ISBN: 9783031716379

Standard No.: 10.1007/978-3-031-71637-9doiSubjects--Topical Terms:

883142
Production management
--Data processing--Congresses.

LC Class. No.: TS155.6

Dewey Class. No.: 658.500285

Advances in production management systems = production management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings.. Part V /
LDR:07375nam a2200349 a 4500 001 1154479
003 DE-He213
005 20240908130219.0
006 m d
007 cr nn 008maaau
008 250619s2024 sz s 0 eng d
020 $a 9783031716379 $q (electronic bk.)
020 $a 9783031716362 $q (paper)
024 7 $a 10.1007/978-3-031-71637-9 $2 doi
035 $a 978-3-031-71637-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TS155.6
072 7 $a UK $2 bicssc
072 7 $a COM067000 $2 bisacsh
072 7 $a UK $2 thema
082 0 4 $a 658.500285 $2 23
090 $a TS155.6 $b .I23 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Advances in production management systems $h [electronic resource] : $b production management systems for volatile, uncertain, complex, and ambiguous environments : 43rd IFIP WG 5.7 International Conference, APMS 2024, Chemnitz, Germany, September 8-12, 2024 : proceedings. $n Part V / $c edited by Matthias Thürer ... [et al.].
246 3 $a APMS 2024
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xiv, 504 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a IFIP advances in information and communication technology, $x 1868-422X ; $v 732
505 0 $a Smart Manufacturing Assets as Drivers for the Twin Transition towards Green and Digital Business. -- From Vineyard to Smart Factory: The case for a Digital Innovation Hub in the Atacama Desert. -- Construction of a Demonstrator for Artificial Intelligence-supported, automated Dismantling of Battery Systems. -- Life Cycle Analysis for the concept design of a Smart Mobile Factory (SMF) for infrastructure construction projects. -- Exploring Agile Methods Application in Manufacturing. -- Optimization of Reconfigurable Manufacturing Systems Configuration using Constraint Programming. -- Key factors for sustainability along the lifecycle of smart Product Service Systems -- Engineering and managing AI for advances in asset lifecycle and maintenance management. -- Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System. -- Adoption of AI-based systems in industrial maintenance: empirical evidences from an action research in the maintenance service business -- Transforming Engineer-to-Order Projects, Supply Chains, and Systems in Turbulent Times. -- Exploring the Hydrogen Transition within the Maritime Value Chains. -- Application of Circular strategies for ETO products. -- Yard Logistics: Framework and Classification of Yard Types. -- Methods and Tools to Achieve the Digital and Sustainable Servitization of Manufacturing Companies. -- Maturity Models for Servitization: A Systematic Literature Review. -- Towards Human-Centric Digital Services: A Development Framework. -- Quantitative assessment of Product-Service System sustainability: a literature review. -- Navigating the Shift: From Traditional Sales to Product- as-a-Service (PaaS) -- Transforming a new-build factory into a service operations workshop: A PDCA approach to change management in industrial servitization. -- Navigating Lifecycle Management Models: Testing of a lifecycle management framework for Product-Service Systems. -- Asset lifecycle management and digital servitization: A case study in machining. -- Open Knowledge Networks for Smart Manufacturing. -- Open Knowledge Networks for Smart Manufacturing. -- An Introduction to Machine Learning Lifecycle Ontology and its Applications. -- Open Manufacturing Capability Network Supported by Formal Ontologies. -- Open Data Framework for Energy Management and ISO certification in Smart Manufacturing Systems. -- Applications of Artificial Intelligence in Manufacturing. -- Anomaly Detection in a Production Line: Statistical Learning Approach and Industrial Application. -- Leveraging LLMs for Information Extraction in Manufacturing. -- Development of Automated Negotiation Models for Suppliers using Reinforcement Learning. -- Robust Novel Defect Detection with Neuro-symbolic AI. -- Exploring the Intersection of Artificial Intelligence and Machine Learning in Supply Chain Management: A Structured Literature Review. -- Comparison of bipartite graph community detection algorithms for reducing variant diversity in production planning and control. -- Vibration-Based Operating Status Monitoring of a Production Line with Low-Cost IoT Devices. -- Intralogistics. -- A Simulation Study For Integrating Library Material Handling with Autonomous Mobile Robots. -- Dynamic multi-objective opti-state decision-making method for intermittent synchronized production operation system. -- Planning the tasks of an autonomous mobile robot fleet for internal logistics of production systems. -- Model-based system engineering approach to design customized puzzle-based movable rack systems.
520 $a The six-volume set IFIP AICT 728-729 constitutes the refereed proceedings of the 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024, held in Chemnitz, Germany, during September 8-12, 2024. The 201 full papers presented together were carefully reviewed and selected from 224 submissions. The APMS 2024 conference proceedings are organized into six volumes, covering a large spectrum of research addressing the overall topic of the conference "Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments". Part I: advancing eco-efficient and circular industrial practices; barriers and challenges for transition towards circular and sustainable production processes and servitized business models; implementing the EU green deal: challenges and solutions for a sustainable supply chain; risk analysis and sustainability in an uncertain system in a digital era. Part II: smart and sustainable supply chain management in the society 5.0 era; human-centred manufacturing and logistics systems design and management for the operator 5.0; inclusive work systems design: applying technology to accommodate individual workers' needs; evolving workforce skills and competencies for industry 5.0; experiential learning in engineering education. Part III: lean thinking models for operational excellence and sustainability in the industry 4.0 era; human in command - operator 4.0/5.0 in the age of AI and robotic systems; hybrid intelligence - decision-making for AI-enabled industry 5.0; mechanism design for smart and sustainable supply chains. Part IV: digital transformation approaches in production and management; new horizons for intelligent manufacturing systems with IoT, AI, and digital twins. Part V: smart manufacturing assets as drivers for the twin transition towards green and digital business; engineering and managing AI for advances in asset lifecycle and maintenance management; transforming engineer-to-Order projects, supply chains, and systems in turbulent times; methods and tools to achieve the digital and sustainable servitization of manufacturing companies; open knowledge networks for smart manufacturing; applications of artificial intelligence in manufacturing; intralogistics. Part VI: modelling supply chain and production systems; resilience management in supply chains; digital twin concepts in production and services; optimization; additive manufacturing; advances in production management systems.
650 0 $a Production management $x Data processing $v Congresses. $3 883142
650 0 $a Artificial intelligence $x Industrial applications $v Congresses. $3 787134
650 0 $a Business logistics $x Data processing $v Congresses. $3 815896
650 1 4 $a Computer Engineering and Networks. $3 1365733
700 1 $a Thürer, Matthias. $3 1482279
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a IFIP advances in information and communication technology ; $v 390. $3 881349
856 4 0 $u https://doi.org/10.1007/978-3-031-71637-9
950 $a Computer Science (SpringerNature-11645)