Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5. 7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021. *

The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections:

Part I: artificial intelligence based optimization techniques for demand-driven manufacturing; hybrid approaches for production planning and scheduling; intelligent systems for manufacturing planning and control in the industry 4. 0; learning and robust decision support systems for agile manufacturing environments; low-code and model-driven engineering for production system; meta-heuristics and optimization techniquesfor energy-oriented manufacturing systems; metaheuristics for production systems; modern analytics and new AI-based smart techniques for replenishment and production planning under uncertainty; system identification for manufacturing control applications; and the future of lean thinking and practice

Part II: digital transformation of SME manufacturers: the crucial role of standard; digital transformations towards supply chain resiliency; engineering of smart-product-service-systems of the future; lean and Six Sigma in services healthcare; new trends and challenges in reconfigurable, flexible or agile production system; production management in food supply chains; and sustainability in production planning and lot-sizing

Part III: autonomous robots in delivery logistics; digital transformation approaches in production management; finance-driven supply chain; gastronomic service system design; modern scheduling and applications in industry 4. 0; recent advances in sustainable manufacturing; regular session: green production and circularity concepts; regular session: improvement models and methods for green and innovative systems; regular session: supply chain and routing management; regular session: robotics and human aspects; regular session: classification and data management methods; smart supply chain and production in society 5. 0 era; and supply chain risk management under coronavirus

Part IV: AI for resilience in global supply chain networks in the context of pandemic disruptions; blockchain in the operations and supply chain management; data-based services as key enablers for smart products, manufacturing and assembly; data-driven methods for supply chain optimization; digital twins based on systems engineering and semantic modeling; digital twins in companies first developments and future challenges; human-centered artificial intelligence in smart manufacturing for the operator 4. 0; operations management in engineer-to-order manufacturing; product and asset life cycle management for smart and sustainable manufacturing systems; robotics technologies for control, smart manufacturing and logistics; serious games analytics: improving games and learning support; smart and sustainable production and supply chains; smart methods and techniques for sustainable supply chain management; the new digital lean manufacturing paradigm; and the role of emerging technologies in disaster relief operations: lessons from COVID-19

Part V: data-driven platforms and applications in production and logistics: digital twins and AI for sustainability; regular session: new approaches for routing problem solving; regular session: improvement of design and operation of manufacturing systems; regular session: crossdock and transportation issues; regular session: maintenance improvement and lifecycle management; regular session: additive manufacturing and mass customization; regular session: frameworks and conceptual modelling for systems and

Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability. - Assembly line worker assignment and balancing problem with positional constraints. - Design and Implementation of Digital Twin-Based Application for Global Manufacturing Enterprises. - Exploring Economic, Environmental, and Social Sustainability Impact of Digital Twin-based Services for Smart Production Logistics. - Applying Machine Learning for Adaptive Scheduling and Execution of Material Handling in Smart Production Logistics. - When Softbots meet Digital Twins: Towards Supporting the Cognitive Operator 4. 0. - Regular Session: New Approaches for Routing Problem Solving. - The Implementation of Eulerian Coverings of a Graph for Solving Routing Problems. - An Exact Method for a Green Vehicle Routing Problem with Traffic Congestion. - Investigating Alternative Routes for Employee Shuttle Services Arising in a Textile Company: A Comparative Study. - Two variants of bi-objective Vehicle Routing Problem in Home (Health)-care fields. - Inventory routing problem with transshipment and substitution for blood products using the case of the Belgian blood distribution. - Regular Session: Improvement of Design and Operation of Manufacturing Systems. - Improving manufacturing system design by instantiation of the Integrated Product, Process and Manufacturing System development reference framework. - A formal skill model facilitating the design and operation of flexible assembly workstations. - Multi-criteria filtering approach for comparison and analysis of scheduling alternative scenarios: case study on an open pit phosphate mine. - Evaluation of Complex Manufacturing Systems in the Context of Aggregated Operating Curves. - Conceptual maps of reliability analysis applied in reconfigurable manufacturing system. - Regular Session: Crossdock and Transportation Issues. - Berth Allocate Problem with Multi-Entry Considering Marine Fish Freshness. - Cross-Dock Location: An Airbus Helicopters Case Study. - A Hierarchical Network Approach for Long-Haul Parcel Transportation. - Assessment of MaaS (Mobility as a Service) apps in Metropolitian Area of São Paulo, Brazil. - Using flexible crossdock schedules to face truck arrivals uncertainty. - Regular Session: Maintenance Improvement and Lifecycle Management. - Asset Management, Industry 4. 0 and Maintenance in Electrical Energy Distribution. - Perspectives on the future of maintenance engineering education. - Wear and Tear: A Data Driven Analysis of the Operating Condition of Lubricant Oils. - A Periodic inventory model for perishable items with general lifetime. - Efficient Maintenance Planning: the MATISA Company Case Study. - Understanding Schedule Progress Using Earned Value and Earned Schedule Techniques at Path-level. - Health Indicator Modeling and Association Rule Mining for stoppages prediction in a refinery plant. - Productivity improvement in manufacturing systems through TPM, OEE and collaboration between maintenance and production: a case study. - Stochastic dynamic programming for earliness-tardiness single machine scheduling with maintenance considerations. - An assessment of order release models in Hybrid MTO-MTS flow shop with bottleneck. - Regular Session: Additive Manufacturing and Mass Customization. - Impact of failure rate uncertainties on the implementation of Additive Manufacturing in spare parts supply chains. - Mass customization: Customizing for the human aspect of operations management. - Impacts of Additive Manufacturing on Supply Chains: An Empirical Investigation. - A Knowledge-Based Approach for Decision Support System in Additive Manufacturing. - A Bibliometric Analysis Approach to Review Mass Customization Scientific Production. - Regular Session: Frameworks and Conceptual Modelling for Systems and Services Efficiency. - Framework of the architecture of the communication process within Industry 4. 0 oriented production system. - A fuzzy risk analysisapproach for using in concurrent engineering platform. - Service Capability Ontology. - Guideline to development smart service business models for small and medium sized enterprises. - Conceptual approach to product development process based on supply chain concepts. - Regular Session: Optimization of Production and Transportation Systems. - Interactive Design Optimization of Layout Problems. - A Fast and Efficient Fluid Relaxation Algorithm for Large-Scale Re-entrant Flexible Job Shop Scheduling. - Identification of superior improvement trajectories for production lines via simulation-based optimization with reinforcement learning. - Straight and U-shaped assembly lines in Industry 4. 0 era: factors influencing their implementation. - Math Modeling to simultaneously make overtime and transportation decisions. - Regular Session: Optimization of Supply Chain Agility and Reconfigurability. - An Approach to Assess Risks related to Information System in Supply Chain. - Supplier selectionby using the goal programming approach. - Using an Auction-based System in Cloud Manufacturing for Selecting Manufacturing-as-a-Service Providers. - Modularity metric in Reconfigurable Supply Chain. - Heuristic algorithm for the safety stock placement problem. - Regular Session: Advanced Modelling Approaches. - An Empirical Examination of the Consistency Ratio in the Analytic Hierarchy Process (AHP). - Performance Indicators in Emergency Operating Theaters: A State of the Art. - Energy Transparency in Compound Feed Production. - A Framework To Assess Risk of Illicit Trades Using Bayesian Belief Networks. - Regular Session: Simulation and Optimization of Systems Performances. - Multi-Fidelity Simulation-Based Optimisation for Large-Scale Production Release Planning in Wafer Fabs. - Toward a Simulation Model for Capacity Analysis of a New Port Terminal. - Design of a physics-based and data-driven hybrid model for Predictive Maintenance. - Dynamic Bottleneck Starvation Control. - Pricingmodels for data products in the industrial food production. - Regular Session: AI-Based Approaches for Quality and Performance Improvement of Production Systems. - A Neural Network Model for Quality Prediction in the Automotive Industry. - AI and BD in Process Industry: a literature review with an operational perspective. - Implementing an Online Scheduling Approach for Production with Multi Agent Proximal Policy Optimization (MAPPO). - Operation Twins: Synchronized Production-Intralogistics for Industry 4. 0 Manufacturing. - Regular Session: Risk and Performance Management of Supply Chains. - Sustainability improvement of coffee farms in Valle del Cauca (Colombia) through system dynamics. - A Study of the Relationships between Quality of Management, Sustainable Supply Chain Management Practices and Performance Outcomes. - 4. 0 Transition Methodology for Sustainable Supply Chain Management. - Intuitionistic Fuzzy Cognitive Map Based Analysis of Supply Chain Risks. - A Classification Tool for Circular Supply Chain Indicators.