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Lezama, Thomas
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Publications (9 of 9) Show all publications
Ng, A., Grimm, H., Lezama, T., Persson, A., Andersson, M. & Jägstam, M. (2008). OPTIMISE: An Internet-Based Platform for Metamodel-Assisted Simulation Optimization. In: Xu Huang, Yuh-Shyan Chen, Sio-Iong Ao (Ed.), Advances in Communication Systems and Electrical Engineering: (pp. 281-296). Springer Science+Business Media B.V.
Open this publication in new window or tab >>OPTIMISE: An Internet-Based Platform for Metamodel-Assisted Simulation Optimization
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2008 (English)In: Advances in Communication Systems and Electrical Engineering / [ed] Xu Huang, Yuh-Shyan Chen, Sio-Iong Ao, Springer Science+Business Media B.V., 2008, p. 281-296Chapter in book (Refereed)
Abstract [en]

Computer simulation has been described as the most effective tool for de-signing and analyzing systems in general and discrete-event systems (e.g., production or logistic systems) in particular (De Vin et al. 2004). Historically, the main disadvantage of simulation is that it was not a real optimization tool. Recently, research efforts have been focused on integrating metaheuristic algorithms, such as genetic algorithms (GA) with simulation software so that “optimal” or close to optimal solutions can be found automatically. An optimal solution here means the setting of a set of controllable design variables (also known as decision variables) that can minimize or maximize an objective function. This approach is called simulation optimization or simulation-based optimization (SBO), which is perhaps the most important new simulation technology in the last few years (Law and McComas 2002). In contrast to other optimization problems, it is assumed that the objective function in an SBO problem cannot be evaluated analytically but have to be estimated through deterministic/ stochastic simulation.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2008
Series
Lecture Notes in Electrical Engineering, ISSN 1876-1100 ; 4
National Category
Computer Sciences
Identifiers
urn:nbn:se:his:diva-2801 (URN)10.1007/978-0-387-74938-9_20 (DOI)2-s2.0-84885011189 (Scopus ID)978-0-387-74937-2 (ISBN)978-0-387-74938-9 (ISBN)
Available from: 2009-03-02 Created: 2009-03-02 Last updated: 2018-01-13Bibliographically approved
Urenda Moris, M., Lezama, T. & De Vin, L. (2007). Robust design of a Maternity ward supported by discrete event simulation: a case study. In: Proceedings of the 17th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2007. Paper presented at the 17th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2007 (pp. 107-114).
Open this publication in new window or tab >>Robust design of a Maternity ward supported by discrete event simulation: a case study
2007 (English)In: Proceedings of the 17th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2007, 2007, p. 107-114Conference paper, Published paper (Refereed)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:his:diva-2072 (URN)978-1-4276-2092-7 (ISBN)
Conference
the 17th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2007
Available from: 2008-05-28 Created: 2008-05-28 Last updated: 2017-11-27
Ng, A., Grimm, H., Lezama, T., Persson, A., Andersson, M. & Jägstam, M. (2007). Web Services for Metamodel-Assisted Parallel Simulation Optimization. In: IMECS 2007: International Multiconference of Engineers and Computer Scientists, Vols I and II. Paper presented at International MultiConference of Engineers and Computer Scientists - IMECS 2007 (pp. 879-885). International Association of Engineers
Open this publication in new window or tab >>Web Services for Metamodel-Assisted Parallel Simulation Optimization
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2007 (English)In: IMECS 2007: International Multiconference of Engineers and Computer Scientists, Vols I and II, International Association of Engineers, 2007, p. 879-885Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the OPTIMISE platform currently developed in the research project OPTIMIST. The aim of OPTIMISE is to facilitate research on metamodel-assisted simulation optimisation using soft computing techniques by providing a platform for the development and evaluation of new algorithms.

Place, publisher, year, edition, pages
International Association of Engineers, 2007
Series
Lecture Notes in Engineering and Computer Science, ISSN 2078-0966, 2078-0958
Identifiers
urn:nbn:se:his:diva-2035 (URN)000246800600169 ()2-s2.0-84888349278 (Scopus ID)978-988-98671-4-0 (ISBN)
Conference
International MultiConference of Engineers and Computer Scientists - IMECS 2007
Available from: 2008-05-09 Created: 2008-05-09 Last updated: 2017-11-27Bibliographically approved
Persson, A., Grimm, H., Ng, A., Lezama, T., Ekberg, J., Falk, S. & Stablum, P. (2006). Simulation-Based Multi-Objective Optimization of a Real-World Operation Scheduling Problem. In: WSC '06 Proceedings of the 38th conference on Winter simulation: . Paper presented at WSC Winter Simulation Conference (pp. 1757-1764). Winter Simulation Conference
Open this publication in new window or tab >>Simulation-Based Multi-Objective Optimization of a Real-World Operation Scheduling Problem
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2006 (English)In: WSC '06 Proceedings of the 38th conference on Winter simulation, Winter Simulation Conference , 2006, p. 1757-1764Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a successful application of simulation-based multi-objective optimization of a complex real-world scheduling problem. Concepts of the implemented simulation-based optimization architecture are described, as well as how different components of the architecture are implemented. Multiple objectives are handled in the optimization process by considering the decision makers' preferences using both prior and posterior articulations. The efficiency of the optimization process is enhanced by performing culling of solutions before using the simulation model, avoiding unpromising solutions to be unnecessarily processed by the computationally expensive simulation.

Place, publisher, year, edition, pages
Winter Simulation Conference, 2006
Identifiers
urn:nbn:se:his:diva-1965 (URN)1-4244-0501-7 (ISBN)
Conference
WSC Winter Simulation Conference
Available from: 2008-04-16 Created: 2008-04-16 Last updated: 2017-11-27Bibliographically approved
De Vin, L., Ng, A., Jägstam, M. & Karlsson, T. (2006). Virtual Manufacturing: Good Practice, Pitfalls and Advanced Applications. SME Technical Paper, TP06PUB41
Open this publication in new window or tab >>Virtual Manufacturing: Good Practice, Pitfalls and Advanced Applications
2006 (English)In: SME Technical Paper, ISSN 0081-1653, p. TP06PUB41-Article in journal (Refereed) Published
Abstract [en]

This paper describes manufacturing (resource) simulation with a focus on discrete event simulation and computer-aided robotics. Some generic good practices, problems and pitfalls in the use of simulation are described. Various advanced applications of manufacturing simulation are described and elucidated on the hand of a system for simulation-based service and maintenance. The paper also describes briefly how simulation-based decision support and information fusion are related, and how this can result in synergistic research across these areas

Place, publisher, year, edition, pages
Society of Manufacturing Engineers, 2006
Identifiers
urn:nbn:se:his:diva-1826 (URN)
Available from: 2007-09-07 Created: 2007-09-07 Last updated: 2017-11-27Bibliographically approved
Karlsson, T. & Oscarsson, J. (2005). On Information Management for Advanced Virtual Manufacturing. In: Esther Alvarez, Jalal Ashayeri, William G. Sullivan, Munir Ahmad (Ed.), FAIM 2005: Volume I: Proceedings of the 15th International conference on flexible automation and intelligent manufacturing, July 18th-20th, 2005. Paper presented at 15th International Conference on Flexible Automation and Intelligent Manufacturing, University of Deusto, July 18-20, 2005, Bilbao, Spain (pp. 817-824). Bilbao: University of Deusto
Open this publication in new window or tab >>On Information Management for Advanced Virtual Manufacturing
2005 (English)In: FAIM 2005: Volume I: Proceedings of the 15th International conference on flexible automation and intelligent manufacturing, July 18th-20th, 2005 / [ed] Esther Alvarez, Jalal Ashayeri, William G. Sullivan, Munir Ahmad, Bilbao: University of Deusto , 2005, p. 817-824Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Bilbao: University of Deusto, 2005
Identifiers
urn:nbn:se:his:diva-1674 (URN)84-7485-990-5 (ISBN)978-84-7485-990-4 (ISBN)84-7485-991-3 (ISBN)978-84-7485-991-1 (ISBN)
Conference
15th International Conference on Flexible Automation and Intelligent Manufacturing, University of Deusto, July 18-20, 2005, Bilbao, Spain
Available from: 2007-08-08 Created: 2007-08-08 Last updated: 2017-11-27
De Vin, L., Oscarsson, J., Ng, A., Jägstam, M. & Karlsson, T. (2004). Manufacturing simulation: Good practice, pitfalls, and advanced applications. In: Phelan, P. (Ed.), The 21st International Manufacturing Conference: IMC. Paper presented at Publications | PAIPR group 21st International Manufacturing Conference, University of Limerick, Ireland, 1st – 3rd September 2004 (pp. 156-163).
Open this publication in new window or tab >>Manufacturing simulation: Good practice, pitfalls, and advanced applications
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2004 (English)In: The 21st International Manufacturing Conference: IMC / [ed] Phelan, P., 2004, p. 156-163Conference paper, Published paper (Refereed)
Abstract [en]

The paper describes manufacturing simulation with a focus on discrete event simulation and computer aided robotics. Some generic good practices, problems, and pitfalls in the use of simulation are described. Some advanced applications of manufacturing simulation are described and elucidated on the hand of a system for simulation-based service & maintenance. Simulation-based decision support and information fusion are closely related, and plans for novel synergistic research in these area are presented

Research subject
Technology
Identifiers
urn:nbn:se:his:diva-1515 (URN)1-8746537-7-1 (ISBN)
Conference
Publications | PAIPR group 21st International Manufacturing Conference, University of Limerick, Ireland, 1st – 3rd September 2004
Available from: 2007-07-06 Created: 2007-07-06 Last updated: 2017-12-20Bibliographically approved
Karlsson, T., Rogstrand, V. & De Vin, L. J. (2004). Verifying manufacturing requirements using tools for digital plant technology. In: : . Paper presented at The 37th CIRP International Seminar on Manufacturing Systems, Budapest, Hungary, May 2004 (pp. 291-296).
Open this publication in new window or tab >>Verifying manufacturing requirements using tools for digital plant technology
2004 (English)Conference paper, Published paper (Other academic)
Identifiers
urn:nbn:se:his:diva-1519 (URN)
Conference
The 37th CIRP International Seminar on Manufacturing Systems, Budapest, Hungary, May 2004
Note

Ingår i avhandling:Rogstrand, Victoria. Information Representation of Production Requirements. 2011.

Available from: 2007-07-06 Created: 2007-07-06 Last updated: 2017-11-27Bibliographically approved
Karlsson, T. & De Vin, L. (2003). Effective manufacturing resource modelling. In: the 20th International Manufacturing Conference (pp. 422-429).
Open this publication in new window or tab >>Effective manufacturing resource modelling
2003 (English)In: the 20th International Manufacturing Conference, 2003, p. 422-429Conference paper, Published paper (Refereed)
Abstract [en]

Information management in 21st century industry has many aspects that have to be fully understood and covered in an information plan. With the emergence of CAD, problems with version management became more profound. Product data management (PDM) systems offered a partial solution, but these systems do not cover complete product life cycle support across complete supply/demand chain networks and seldom address manufacturing resource and process modeling in an adequate manner. This paper discusses some trends and tools in manufacturing information management and product life cycle support, with a focus on reuse of existing production resource information throughout the product process resource domain

Identifiers
urn:nbn:se:his:diva-1710 (URN)
Available from: 2007-06-08 Created: 2007-06-08 Last updated: 2017-11-27
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