Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
Description
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.
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Content
.- Lean Thinking Models for Operational Excellence and Sustainability in the Industry 4.0 Era.
.- How Lean tools contribute to a production system, investigation in the automotive industry.
.- Integrating Multilayered Agility into Production Planning and Control: A Conceptual Model for Enhanced Manufacturing Efficiency.
.- Data-Driven Root-Cause Analysis in the Scope of Continuous Improvement Projects.
.- Lean and Green Manufacturing operationalization through Multi-Layer Stream Mapping in an Industry 4.0 context - Lean&Green 4.0.
.- Artificial Intelligence Reshapes Supply Chain and Lean: Key Insights and Challenges.
.- Inspection Planning Improvement Framework Based on the PDCA Cycle.
.- Towards a Sustainable Digitalization Roadmap for SMEs.
.- Enhancing Labor Flexibility in Workload Control: The Development and Application of a Framework.
.- The Facets of 'Respect for People' Principle: A Systematic Review and Thematic Analysis of the Literature.
.- Analyzing the Interplay of Agile and Digital Transformation in Modern Management Theory: A Systematic Literature Review.
.- Sustainable Lean Practices in the Luxury Fashion Industry: a case study.
.- Pick-and-Place Robotics Implementation Under the Influence of Lean Manufacturing - A Process Model.
.- Digitally-Enhanced Shu-Ha-Ri Learning Cycle for Assembly Procedures in Smart-Lean Workstations.
.- Human in Command - Operator 4.0/5.0 in the Age of AI and Robotic Systems.
.- What matters for managers when adopting Cobots in manufacturing organisations? - The results of a survey study in Portuguese SMEs.
.- A leap from operator 4.0 to operator 5.0: Antecedents, enablers, and barriers in human-centered manufacturing.
.- Research Interpretation of Article 14 of the EU AI Act: Human in Command.
.- Immersive Human-Robot Collaboration in Restricted or Confined Spaces.
.- Hybrid Intelligence - Decision-Making for AI-Enabled Industry 5.0.
.- AI-supported Shift Scheduling - Prototype of a Human-Centered Approach.
.- Fuzzy TOPSIS with Interval Data Based Possibility Measure Approach for Multi-criteria Group Decision Making: Application to Information System Selection.
.- Advancing Manufacturing with Interpretable Machine Learning: LIME-Driven Insights from the SECOM Dataset.
.- Designing a New Dry Port-Seaport Logistics Network with a Focus on Industry 5.0 by Machine Learning.
.- A literature review on the cross-domain usage of digital factory twins within design time.
.- Mechanism Design for Smart and Sustainable Supply Chains.
.- Utilizing the Shapley Value to Measure Individual Productivity in the Service Industry.
.- A two-stage stochastic programming approach for energy-oriented lot-sizing.
.- Ensuring Fruits and Vegetables Freshness in Sustainable Agricultural Supply Chain Networks: A Deep Learning Approach.
.- Planning And Optimising Value Chains In Production Networks Of MSEs: A Lightweight Planner for Parallel Processes.
.- Mechanism Design as Collaborative Production Systems.
.- Real traffic analysis around large-scale shopping mall using game theory.
.- Partner Selection in Additive Manufacturing Networks.
.- Impact of Wholesale and Retail Limits on Supply Chain Decision Strategies: Insights from Serious Gaming Experiments.
.- Mechanism Design for Agricultural Machinery Sharing.
.- Balancing High Social Welfare and Short Waiting Times: Determining a Reasonable Buyout Price in Auction-Based Restaurant Reservation Systems.
.- Managing Handling and Transport in Furniture E-commerce Shop using the Dropshipping Model.
