Advances in Performance Management and Measurement for Industrial Applications and Emerging Domains

Alessandra Cantini, PhD, PhD, is an Assistant Professor at Politecnico di Milano, where she teaches the Innovation in Action Lab and Management of Logistics and Production Systems. She has also taught Supply Chain Management at the University of Florence. She holds two PhDs: one in Industrial Engineering from the University of Florence (UNIFI, Italy) and another in Production Management from the Norwegian University of Science and Technology (NTNU, Norway). Her research interests include warehouse and inventory management, supply chain management, spare parts management, explainable artificial intelligence, and additive manufacturing. She has authored over 25 publications in international journals and conferences.Mario Caterino, PhD is a Senior Assistant Professor at the University of Campania Luigi Vanvitelli, where he is lecturer of several courses for undergraduate and post-graduate students at the Department of Engineering. He is author of more than 60 international publications in Operations Management and Industrial Systems Engineering. He is a member of the editorial board of The International Journal on Interactive Design and Manufacturing.Italo C. Fantozzi is a Researcher in Industrial Systems at the University of Rome "Tor Vergata" and Assistant Professor for the courses Industrial Plants and Production Management. He has been a visiting researcher at Lund University, Sweden, and is a member of the Think Tank Operations Excellence at "Tor Vergata". In addition, he regularly serves as a reviewer for multiple international journals.Leonardo Leoni, PhD, Associate Professor of Mechanical Plants at the e-Campus University and Adjunct Professor of Supply Chain Management at the University of Florence. He is the author or co-author of more than 50 publications in international conferences and journals. His current research interests include operations management, supply chain management, and the safety, risk and reliability analysis of industrial equipment.Francesco Mancusi holds a PhD in Engineering for Innovation and Sustainable Development and is currently a Researcher in Industrial Engineering at the University of Basilicata, Italy. His research focuses on human-robot collaboration in Industry 5.0, closed-loop supply chains and circular production systems, including recovery processes and operations. He has been a Visiting PhD at the University of Birmingham (UK) and a Visiting Researcher at the Universidad Politécnica de Madrid (Spain). He is also a consultant in project management and an expert in EU-funded research projects. He serves as a reviewer for several international journals.

• Part 1: Quality, risk management, and process improvement.- OEE improvement using DMAIC and SMED approaches: An Italian case study within steel production field.- Industrial risk assessment in the modern era - A new interpretation of the black-Sholes-Merton.- Proposal for improvement to increase efficiency of operators using 5S and SLP in a garment manufacturing workshop.- A hesitant fuzzy linguistic QFD model for supplier selection in the industry 4.0 era.- Improvement of productivity in the production process of a metalworking company through lean tools and SLP.- Comprehensive process improvement in a textile testing laboratory with a time – Centric approach. A case study.- Statistical process control in manufacturing industry: A bibliometric analysis and future directions.- Optimization of productivity through the redesign of the material handling system and preventive maintenance: The case of a PET recycling company for polyester fiber.- Implementation of lean 5S and Kanban in a medical equipment maintenance company: A case study.- Integration of lean principles and digitalization on the production planning and control: A case study in textile sector.- The impact on quality costs and customer satisfaction due to operational changes in the quality management system.- Barrier and driver factors for green manufacturing within lean: Exploratory survey of case studies (primary results).- Does team culture alone ensure high performance in non-profit organizations?- Part 2: Digital transformation and industry 4.0.- Towards digital sustainability performance management: Designing data-driven sustainability performance management systems.- Embedding lean principles and digital transformation into organizational culture: Effects on industry 4.0 adoption and corporate sustainability performance – A case study in metal processing.- Digital infrastructure and competence as drivers of performance in manufacturing and services.- Bibliometric and visualization analysis of smart manufacturing in semiconductors: Past trends and emerging futures.- Assessing the effectiveness of current performance measurement systems in the context of industry 5.0.- Lean manufacturing and industry 4.0: A bibliometric review about applications, synergies and adoption barriers.- Resilience management to improve digital transformation processes in SMES.- Mapping firm capabilities in implementing digital product passports: A resource-based view perspective.- The impact of innovation on return on investment in Jordanian industrial companies: The mediating role of innovation culture.- Calculation of international digital competitiveness performance with entropy based PROMETHEE method and comparative analysis of Türkiye with other countries.- Integration of IoT, CPS and AI for efficient, sustainable and competitive management of a cinema.- Siamese neural networks-infused framework for improving the performance of hybrid production systems.- The impact of open innovation types on digital transformation: a moderation model of digital strategy.- Aging human ware in industry 4.0: A bibliometric survey.- Modeling of industry 4.0/5.0 production system: Case study of Croatian manufacturing industry.- A practical framework for IoT sensors implementation towards prescriptive maintenance.- Enhancing communication and retail operations through digital tools implementation.- Part 3: Simulation, modelling and digital twin.- Development of a standardized methodology for dynamic indicator calculation in machine tools using data modelling.- Simulation-based value stream digital twin: A platform for real-time supply chain performance management.- Revolution in turbine design and maintenance: The role of digital twin and advanced technologies.- An agent-based modelling & simulation (ABMS) approach to assess the optimum fleet size in city logistics realm – Case of Jaipur city in India.- A hybrid agent-based and discrete-event simulation framework for enhancing industrial gas supply chain resilience.- Bridging innovation and sustainability: the role of generative AI, digital twin, and simulation modeling with measurable KPIs in industry 4.0 and 5.0.- Development of a digital twin for maintenance management in the energy industry: A case study.- Developing a digital twin system for predicting usage of Istanbul metro lines using smart card data.- Integrating MES data into data-driven discrete event simulation models: A case study.- Part 4: Artificial intelligence applications and data analytics.- Quality of explanation of xAI from the perspective of Italian end-users: Italian version of system causability scale (SCS).- The trends of statistical process control charts with machine learning based on VOSviewer and Scimago Graphica.- Key elements to write a successful research proposal to develop a DSS (decision support system) for sustainable soil management in viticulture.- Sustainable leadership in Indian manufacturing: Insights from SEM and ANN analysis.- Integrating generative AI into sales forecasting: a novel framework for enhanced performance measurement and strategic decision-making.- Enhancing sustainable performance in last-mile distribution: A dynamic framework integrating deep reinforcement learning and multi-criteria decision analysis.- Artificial intelligence for the enhancing environmental, social and economic sustainability.- Enhancing the introduction of green practices in foundries using machine learning.- Literature review on artificial intelligence based solutions to enhance agriculture performance.- STEMing the future smart cities: sustainable vehicle lifecycle innovations for smart mobility.- A rule-based anchors approach to transparent and actionable machine learning in manufacturing.- Basic experiments on predictive maintenance of naval propulsion system using small-scale machine learning.- Impact of artificial intelligence on HRM practices: A systematic literature review.- Global logistics efficiency: a benchmarking study using data envelopment analysis and the 2023 logistics performance index.- Part 5: Sustainability, circular economy, and green manufacturing.- Indexes for assessing circular economy performance in industry: A systematic literature review.- Exploring the impact of green entrepreneurial orientation on corporate green performance: The mediating role of green innovation in Indian manufacturing firms.- Industry 5.0 enablers of circular economy in the context of maintenance 5.0.- Sustainable and efficient Agritourism supply chains: Insights from a bibliometric analysis.- The importance of advancing the utilization of recycled materials: An investigation into Queensland, Australia residential buildings.- A bibliometric and visualization analysis of green supply chain performance in logistic industry.- How does transparency shape the financial impact of environmental externalities?- Benchmarking of best practices in solar PV E-waste policy for India.- Combining environmental VSM with LCA: Action research in oil and gas industry manufacturing.- Strategic business alliance of small producers to improve remanufacturing management.- Part 6: Healthcare and social applications.- Ergonomic applications to reduce the risk of musculoskeletal disorders and improve occupational well-being in the manufacturing area of a textile workshop.- From learning to practice: The structural equation modeling evidence on nursing performance.- The consequences of asbestos contamination in both residential and commercial buildings: Insights from Australia.- Evaluating inclusion through KPIs: Integrating assistive technologies to support workers with disabilities in industry 5.0.- From socialization to commitment: how inclusive practices drive employee performance in diverse workforces.- Health resource planning: A systematic literature review.- Part 7: Supply chain and logistics.- Improving logistics performance through demand forecasting and picking time in inventory management: The case of a Peruvian electrical resistance company.- Supply chain and productivity improvement for the flexography process in a Peruvian cardboard manufacturing plant through TPM and 5S methodologies.- Supply chain optimizing using Optim 3D algorithm.- Inventory optimization for reduction of costs in restaurants based on modelation. A case study.- Optimizing the vehicle routing problem with time windows using particle swarm optimization: a case study of Naftal.- A sustainable multi-compartment vehicle routing problem for medical waste management.- Resilience in supply chains: A review of key metrics, disruption models, and simulation approaches.- Distribution network reconfiguration: An Italian logistics case study.