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 services efficiency; regular session: optimization of production and transportation systems; regular session: optimization of supply chain agility and reconfigurability; regular session: advanced modelling approaches; regular session: simulation and optimization of systems performances; regular session: AI-based approaches for quality and performance improvement of production systems; and regular session: risk and performance management of supply chains

*The conference was held online.

Inhalt
Artificial Intelligence Based Optimization Techniques for Demand-Driven Manufacturing.- Goods and Activities Tracking Through Supply Chain Network Using Machine Learning Models.- Long term demand forecasting system for demand driven manufacturing.- FBD_Bmodel Digital Platform: a web-based application for demand driven fashion supply chain.- Data-driven approach for Credit Card FraudDetection with Autoencoder and One-ClassClassification techniques.- A model for a multi-level disassembly system under random disassembly lead times-. Hybrid Approaches for Production Planning and Scheduling.- Scheduling of parallel 3D-printing machines with incompatible job families: A Matheuristic algorithm.- An Iterated Greedy Matheuristic for Scheduling in Steelmaking-Continuous Casting Process.- Hybridization of mixed-integer linear program and discrete event systems for robust scheduling on parallel machines.- An unrelated parallel machines rescheduling problem: an industrial case study.-Tactical planning and predictive maintenance: towards an integrated model based on epsilon-reliability.- Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.- Comparison between product and process oriented Zero-Defect Manufacturing (ZDM) approaches.- Industry 4.0: An Indian perspective.- Opportunities of Blockchain Traceability Data for Environmental Impact Assessment in a Context of Sustainable Production.- Demand forecasting for an automotive company with neural network and ensemble classifiers approaches.- A deep learning algorithm for the throughput estimation of a CONWIP line.- Dynamic scheduling in a flow shop using Deep Reinforcement Learning.- A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises.- Manufacturing strategy dimensions as I4.0 performance antecedents in developing economies.- Exploring Interdependency Effects of Production Orders as Central Impact Factors of Logistics Performance in Manufacturing Systems.- Design of a Li-Fi Transceiver for Distributed Factory Planning Applications.- Metamodeling of Deteriorating Reusable Articles in a Closed Loop Supply Chain.- Risk Assessment and Mitigation for Industry 4.0: Implementation of a Digital Risk Quick Check.- Digital Twin Framework for Machine-Learning Enabled Integrated Production and Logistics Processes.- A smart contracts and tokenization enabled permissioned blockchain framework for the Food Supply Chain.- Learning and Robust Decision Support Systems for Agile Manufacturing Environments.- Due date-related Order Prioritization for Scheduling with Decision Support in Dynamic Environments.- Knowledge graphs in digital twins for AI in production.- Smart short term capacity planning: A reinforcement learning approach.- Reactive Scheduling by Intelligent DSS.- Worker in the loop: a framework for enabling Human-Robot collaborative assembly.- Decision Support on the Shop Floor Using Digital Twins: Architecture and Functional Components for Simulation-Based Assistance.- A taxonomy for resistance concepts in manufacturing networks.- Real-time machine learning automation applied to failure prediction in automakers supplier manufacturing system.- Resilient Project Scheduling Using Artificial Intelligence: a Conceptual Framework.- A digital twin-driven methodology for material resource planning under uncertainties.- Low-Code and Model-Driven Engineering for Production System.- Towards Development Platforms for Digital Twins: A M…