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Dive into the research topics where Thomas Lundholm is active.

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Featured researches published by Thomas Lundholm.


International Journal of Production Research | 2017

An event-driven manufacturing information system architecture for Industry 4.0

Alfred Theorin; Kristofer Bengtsson; Julien Provost; Michael Lieder; Charlotta Johnsson; Thomas Lundholm; Bengt Lennartson

Future manufacturing systems need to be more flexible, to embrace tougher and constantly changing market demands. They need to make better use of plant data, ideally utilising all data from the entire plant. Low-level data should be refined to real-time information for decision-making, to facilitate competitiveness through informed and timely decisions. The Line Information System Architecture (LISA), is presented in this paper. It is an event-driven architecture featuring loose coupling, a prototype-oriented information model and formalised transformation services. LISA is designed to enable flexible factory integration and data utilisation. The focus of LISA is on integration of devices and services on all levels, simplifying hardware changes and integration of new smart services as well as supporting continuous improvements on information visualisation and control. The architecture has been evaluated on both real industrial data and industrial demonstrators and it is also being installed at a large automotive company. This article is an extended and revised version of the paper presented at the 2015 IFAC Symposium on Information Control in Manufacturing (INCOM 2015). The paper has been restructured in regards to the order and title of the chapters, and additional information about the integration between devices and services aspects have been added. The introduction and the general structure of the paper now better highlight the contributions of the paper and the uniqueness of the framework.


Robotics and Computer-integrated Manufacturing | 1988

Advanced process monitoring—a major step towards adaptive control

Thomas Lundholm; Magnus Yngen; Bo Lindström

Adaptive Control (AC) of machine tools requires many kinds of measured input data. The more information about the complex metal cutting process that can be obtained, the better the process can be ...


The 41st CIRP Conference on Manufacturing Systems | 2008

Characteristic of a Proactive Assembly System

Kerstin Dencker; Johan Stahre; Åsa Fasth; Peter Gröndahl; Lena Mårtensson; Thomas Lundholm

Competitive assembly systems must cope with frequent demand changes, requiring drastically shortened resetting and ramp-up times. Characteristics of assembly systems capable of rapid change are e.g. Flexibility; Robustness, Agility, and ability to handle frequent changes and disturbances. This paper proposes proactivity as a vital factor of semi-automated assembly systems to increase speed of change. Proactive systems utilize the full potential of human operators and technical systems. Such systems have ability to dynamically change system automation levels, resulting in decrease of time consumed for assembly tasks. Proactivity criteria for assembly systems are reviewed based on theory and industrial case studies


Leveraging Technology for a Sustainable World : Proceedings of the 19th CIRP Conference on Life Cycle Engineering, University of California at Berkeley, Berkeley, USA, May 23 - 25, 2012 | 2012

Resource Efficiency Assessment System

Thomas Lundholm; Michael Lieder; Guido Rumpel

Resource efficiency has become a topic of greater importance due to dramatic increase of world-population and globalization. A company that is not able to efficiently utilize its resources is less sustainable and competitive. This paper introduces an assessment approach as a tracking and analyzing system to facilitate improvement of resource efficiency particularly for SMEs. The approach supports common economic KPIs of producing companies using resource-based measures. Two main elements are used. One for tracking resource efficiency measures (REC) and one for analyzing efficiency losses (REF). A tool has been designed to support the application and interpretation of the system elements.


Modern Machinery Science Journal | 2012

Virtual Machining System Engine for Simulation of Process Machine Interaction

Andreas Archenti; Mihai Nicolescu; Thomas Lundholm

The aim of this paper is to introduce a novel methodology, based on a finite element (FE) computation engine for simulation of process machine interaction occurring in machining systems. FE modelli ...


International Journal of Production Research | 2010

Analytical methods to support continuous improvements at Scania

Marcello Colledani; Michael Ekvall; Thomas Lundholm; Paolo Moriggi; Andrea Polato; Tullio Tolio


Asian International Journal of Science and Technology in production and manufacturing engineering (AIJSTPME) | 2010

Designing proactive assembly systems – Criteria and interaction between automation, information, and competence

Åsa Fasth; Jessica Bruch; Johan Stahre; Kerstin Dencker; Thomas Lundholm; Lena Mårtensson


Procedia CIRP | 2016

Integration of Digital Factory with Smart Factory Based on Internet of Things

Navid Shariatzadeh; Thomas Lundholm; Lars Lindberg; Gunilla Sivard


Annual Reviews in Control | 2007

Proactive assembly systems-realising the potential of human collaboration with automation

Kerstin Dencker; Johan Stahre; Peter Gröndahl; Lena Mårtensson; Thomas Lundholm; Jessica Bruch; C. Johansson


ieee international symposium on assembly and manufacturing | 2007

An Approach to Proactive Assembly Systems: -Towards competitive assembly systems

Kerstin Dencker; Johan Stahre; Peter Gröndahl; Lena Mårtensson; Thomas Lundholm; C. Johansson

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Johan Stahre

Chalmers University of Technology

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Kerstin Dencker

Royal Institute of Technology

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Lena Mårtensson

Royal Institute of Technology

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Michael Lieder

Royal Institute of Technology

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Peter Gröndahl

Royal Institute of Technology

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Bengt Lennartson

Chalmers University of Technology

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Kristofer Bengtsson

Chalmers University of Technology

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