| 1. |
- Andersson, Marcus, et al.
(författare)
-
A web-based simulation optimization system for industrial scheduling
- 2007
-
Ingår i: Proceedings of the 39th conference on Winter simulation. - : IEEE Press. - 1424413060 ; , s. 1844-1852
-
Konferensbidrag (refereegranskat)abstract
- Many real-world production systems are complex in nature and it is a real challenge to find an efficient scheduling method that satisfies the production requirements as well as utilizes the resources efficiently. Tools like discrete event simulation (DES) are very useful for modeling these systems and can be used to test and compare different schedules before dispatching the best schedules to the targeted systems. DES alone, however, cannot be used to find the "optimal" schedule. Simulation-based optimization (SO) can be used to search for optimal schedules efficiently without too much user intervention. Observing that long computing time may prohibit the interest in using SO for industrial scheduling, various techniques to speed up the SO process have to be explored. This paper presents a case study that shows the use of a Web-based parallel and distributed SO platform to support the operations scheduling of a machining line in an automotive factory.
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
- Lundell, Björn, et al.
(författare)
-
Learning through practical involvement in the OSS ecosystem : experiences from a Masters assignment
- 2007
-
Ingår i: The Third International Conference on Open Source Systems OSS 2007. - Boston, MA : Springer. - 9780387724850 - 9780387724867 ; , s. 289-294
-
Konferensbidrag (refereegranskat)abstract
- Increased awareness of and interest in Open Source has led to a number of university teaching initiatives, at both national and European level. In this paper we present experiences from a practical assignment designed to give students on an Open Source Masters course an insight into real involvement in Open Source projects. It discusses the motivations for the assignment, and how it was set up and executed. It reports on post facto student feedback, and reflects on a parallel, reduced exercise offered at undergraduate level. We find that the learning experience was both positive and valuable in that it gave real insight into Open Source participation, and also encouraged further participation in Open Source projects by students after the course had completed.
|
|
| 5. |
|
|
| 6. |
- Lundell, Björn, et al.
(författare)
-
UML model interchange in heterogeneous tool environments : an analysis of adoptions of XMI 2
- 2006
-
Ingår i: ACM/IEEE 9th International Conference on Model Driven Engineering Languages and Systems. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783540457725 - 9783540457732 ; , s. 619-630
-
Konferensbidrag (refereegranskat)abstract
- Heterogeneous tool environments are often a reality and it is therefore increasingly important to be able to interchange model information between tools. This is not only true concerning the natural heterogeneity resulting from distributed development contexts; the need may also arise in a tool chain and for legacy reasons. Without this possibility, there is significantly reduced flexibility, and a danger of tool lock-in. In this study we explore the use of the standardised interchange format XMI for supporting interchange of model information between heterogeneous tools. We report on the current state regarding XMI version 2.0 and greater. We find that there seems to be better support for model interchange using XMI 2.0 than for earlier versions of XMI, and speculate that one contributing factor may be the recent integrations of the Eclipse platform in UML modelling tools.
|
|
| 7. |
- Ng, Amos, et al.
(författare)
-
OPTIMISE : An Internet-Based Platform for Metamodel-Assisted Simulation Optimization
- 2008
-
Ingår i: Advances in Communication Systems and Electrical Engineering. - Boston, MA : Springer Science+Business Media B.V.. - 9780387749372 - 9780387749389 ; , s. 281-296
-
Bokkapitel (refereegranskat)abstract
- 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.
|
|
| 8. |
- Ng, Amos, et al.
(författare)
-
Web Services for Metamodel-Assisted Parallel Simulation Optimization
- 2007
-
Ingår i: IMECS 2007. - : International Association of Engineers. - 9789889867140 ; , s. 879-885
-
Konferensbidrag (refereegranskat)abstract
- 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.
|
|
| 9. |
|
|
| 10. |
|
|
