Anders Skoogh
Anders Skoogh is Professor of Production Maintenance at the Department of Industrial and Materials Science at Chalmers University of Technology. He is a research group leader for Production Service Systems & Maintenance. Anders is also the director of Chalmers’ Master’s programme in Production Engineering and a board member of Sustainability Circle (www.sustainabilitycircle.se) with responsibilities for research collaboration.
Showing 110 publications
Realising the promises of artificial intelligence in manufacturing by enhancing CRISP-DM
PROCESS MINING AND PRODUCTION ROUTING FAST PROFILING FOR DATA-DRIVEN DIGITAL TWINS
Unravelling supply chain complexity in maintenance operations of battery production
Integrating Machine and Quality Data for Predictive Maintenance in Manufacturing System
Enhancing Digital Twins With Deep Reinforcement Learning: A Use Case in Maintenance Prioritization
Challenges and opportunities to advance manufacturing research for sustainable battery life cycles
The role of maintenance in company-specific production systems
A Collaborative Digital Platform for Root Cause Analysis in a Value Chain
Understanding Stakeholder Requirements for Digital Twins In Manufacturing Maintenance
Domain Knowledge in CRISP-DM: An Application Case in Manufacturing
Battery Production Systems: State of the Art and Future Developments
Adoption patterns and performance implications of Smart Maintenance
Determining the impact of 5G-technology on manufacturing performance using a modified TOPSIS method
Hindering Factors in Smart Maintenance Implementation
A Data Scientific Approach Towards Predictive Maintenance Application in Manufacturing Industry
Prioritisation of root cause analysis in production disturbance management
Improved root cause analysis supporting resilient production systems
Data-driven machine criticality assessment – maintenance decision support for increased productivity
Development of digitalised maintenance - A concept
A Predictive Maintenance Application for A Robot Cell using LSTM Model
Dealing with resistance to the use of Industry 4.0 technologies in production disturbance management
A Data-Driven Approach to Air Leakage Detection in Pneumatic Systems
Perspectives on the Future of Maintenance Engineering Education
An Enhanced Data-Driven Algorithm for Shifting Bottleneck Detection
Production disturbances handling: Where are we and where are we heading?
A Strategy Development Process for Smart Maintenance Implementation
Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions
Factors influencing maintenance-related investments in industry: a multiple-case study
Multi-Machine Gaussian Topic Modeling for Predictive Maintenance
Smart Maintenance: an empirically grounded conceptualization
Smart Maintenance: a research agenda for industrial maintenance management
A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective
Performance indicators for measuring the effects of Smart Maintenance
Organisational Constraints in Data-driven Maintenance: a case study in the automotive industry
Smart Maintenance: Instrument Development, Content Validation and an Empirical Pilot
A generic hierarchical clustering approach for detecting bottlenecks in manufacturing
A prognostic algorithm to prescribe improvement measures on throughput bottlenecks
Data Analytics in Maintenance Planning – DAIMP
Adaptive Stream-based Shifting Bottleneck Detection in IoT-based Computing Architectures
Machine criticality assessment for productivity improvement: Smart maintenance decision support
Quantifying the Effects of Maintenance - a Literature Review of Maintenance Models
Prediction of Industry 4.0’s Impact on Total Productive Maintenance Using a Real Manufacturing Case
Design concept towards a human-centered learning factory
Effects of Information Content in Work Instructions for Operator Performance
Data-driven algorithm for throughput bottleneck analysis of production systems
Cyber-Physical Production Testbed: Literature Review and Concept Development
Machine criticality based maintenance prioritization: Identifying productivity improvement potential
Data Quality Problems in Discrete Event Simulation of Manufacturing Operations
The Value of 5G Connectivity for Maintenance in Manufacturing Industry
On the Interplay between Platform Concept Development and Production Maintenance
Functional Interaction of Simulation and Data Analytics - Potentials and Existing Use-Cases
Identification of maintenance improvement potential using OEE assessment
Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030
Forming effective culturally diverse work teams in project courses
Handling of Production Disturbances in the Manufacturing Industry
Real-Time data-driven average active period method for bottleneck detection
An algorithm for data-driven shifting bottleneck detection
A Methodology for Continuous Quality Assurance of Production Data
Simulation-based planning of maintenance activities by a shifting priority method
Power Level Sampling of Metal Cutting Machines for Data Representation in Discrete Event Simulation
Planning of Maintenance Activities – A current state mapping in industry
Lean Principles and Engineering Tools in Maintenance Organizations - A Survey Study
QUANTIFYING THE EFFECTS OF PRODUCTION MAINTENANCE DECISIONS USING DISCRETE EVENT SIMULATION
Simulation-based planning of maintenance activities in the automotive industry
Evaluation and Calculation of Dynamics in Environmental Impact Assessment
Startup Methodology for Production Flow Simulation Projects Assessing Environmental Sustainability
Multi-Resolution Modeling for Supply Chain Sustainability Analysis
Evaluation of methods used for life-cycle assessments in Discrete Event Simulation
INFORMATION HANDLING FOR RELIABILITY SERVICES IN PRODUCTION SYSTEMS
Constructive Alignment in Simulation Education
Input data management in simulation - Industrial practices and future trends
Framework for Ecolabeling using Discrete Event Simulation
Environmental Impact Assessment for Manufacturing: Data Requirements for a Simulation-Based Approach
Automation of Input Data Management - Increasing Efficiency in Simulation of Production Flows
A Method for Determining the Environmental Footprint of Industrial Products Using Simulation
Data Requirements and Representation for Simulation of Energy Consumption in Production Systems
Environmental Activity Based Cost using Discrete Event Simulation
Simulation Data Architecture for Sustainable Development
Push–Button Discrete Event Simulation for Analysis of Factory Floor Operations
Methods for Input Data Management - Reducing the Time-Consumption in Discrete Event Simulation
Reducing the EPEI-Time Using Discrete Event Simulation
Input Data Management Methodology for Discrete Event Simulation
Mapping the Time-Consumption During Input Data Management Activities
A Methodology for Input Data Management in Discrete Event Simulation Projects
TIME-CONSUMPTION ANALYSIS OF INPUT DATA ACTIVITIES IN DISCRETE EVENT SIMULATION PROJECTS
A TEST IMPLEMENTATION OF THE CORE MANUFACTURING SIMULATION DATA SPECIFICATION
FACTS ANALYSER: AN INNOVATIVE TOOL FOR FACTORY CONCEPTUAL DESIGN USING SIMULATION
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Showing 27 research projects
Similarity Search of Time Series Data: Evaluation of Search Engine in Industrial Process Data (SIFT)
Sustainable, robust and resource-efficient sawmill industry with dynamic maintenance (READY)
Maintenance of Battery Production at Industrial Scale (Matter Scale)
Maintenance of Battery Production (MATTER)
MATTER - Maintenance of Battery Production
Trustworthy Predictive Maintenance TPdM
Integrated Manufacturing Analytics Platform för Prediktivt Underhåll med Iot.
DFusion - Disturbance Data Fusion
Life Cycle Centered Organizations LCCO
Smart mainTenance in Energy Production, step 2 - STEP2
Predictive Maintenance using Advanced Cluster Analysis (PACA)
KIDSAM: Knowledge and information-sharing in digital collaborative projects
5G-Enabled Manufacturing II (5GEMII)
Data-driven disturbance handling (D3H)
Big Data Value Spaces for COmpetitiveness of European COnnected Smart FacTories 4.0 (BOOST 4.0)
SUstainability, sMart Maintenance and factory design Testbed (SUMMIT)
STEP - Smart mainTenance in Energy Production steg 1 (SM01)
SMASh – Smart Maintenance Assessment
DAIMP - Data Analytics in Maintenance Planning
5G-Enabled Manufacturing (5GEM)
Streamlined Modeling and Decision Support for Fact-based Production Development (StreaMod)
Materialflexibel produktion - utveckling av fysisk och virtuell testbädd
Effektiv ÅTERtillverkning genom användning av leanprinciper och PROUKTlivscykeldata (ÅTER PRODUKT)
Innovative continuous upgrades of high investment product-services (USE-IT-WISELY)