| 1. |
- Andersson, Martin, 1981-, et al.
(författare)
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Evolutionary Simulation Optimization of Personnel Scheduling
- 2014
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Ingår i: 12th International Industrial Simulation Conference 2014. - : Eurosis. - 9789077381830 ; , s. 61-65
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Konferensbidrag (refereegranskat)abstract
- This paper presents a simulation-optimization system for personnel scheduling. The system is developed for the Swedish postal services and aims at finding personnel schedules that minimizes both total man hours and the administrative burden of the person responsible for handling schedules. For the optimization, the multi-objective evolutionary algorithm NSGA-II is implemented. The simulation-optimization system is evaluated on a real-world test case and results from the evaluation shows that the algorithm is successful in optimizing the problem.
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| 2. |
- Bernedixen, Jacob, et al.
(författare)
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Practical Production Systems Optimization Using Multiple-Choice Sets and Manhattan Distance based Constraints Handling
- 2014
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Ingår i: 12th International Industrial Simulation Conference 2014. - : Eurosis. - 9789077381830 ; , s. 97-103
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Konferensbidrag (refereegranskat)abstract
- Many simulation-based optimization packages provide powerful algorithms to solve large-scale system problems. But most of them fall short to offer their users the techniques to effectively handle decision variables that are of multiple-choice type, as well as equality constraints, which can be found in many real-world industrial system design and improvement problems. Hence, this paper introduces how multiple choice sets and Manhattan-distance-based constraint handling can be effectively embedded into a meta-heuristic algorithm for simulation-based optimization. How these two techniques have been applied together to make the improvement of a complex production system, provided by an automotive manufacturer, possible will also be presented.
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| 3. |
- Holm, Magnus, et al.
(författare)
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Framework for an adaptive decision support system for industrial shop-floor operators
- 2014
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Ingår i: 12th Annual Industrial Simulation Conference, ISC 2014. - : Eurosis. - 9789077381830 ; , s. 75-80
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Konferensbidrag (refereegranskat)abstract
- Today's shop-floor operators' working tasks often stretches over a broad spectra of jobs; from ordinary production assignments to handling errors and performing maintenance. Demands for enhanced skills and knowledge are constantly raised to limit the consequences of tool breakage, machine down time and other stochastic events negatively affecting the production. To be able to meet these increasing demands a framework for a distributed and adaptive decision support system is proposed. It will help the shop-floor operator to distinguish between decision options and minimize time to consider appropriate actions to maximize productivity both during normal production and when facing unexpected or unscheduled events. "In what ways is it possible to support operators in making decisions for optimal productivity?" was the opening question from the industry partner when beginning this research. Targeting this question a novel framework for an adaptive decision support system (DSS) enabled by event- driven function blocks, based on decision logics is proposed. Its ability to adapt to the actual conditions on the shop-floor is compared to a currently used voice message system in a test case.
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| 4. |
- Karlsson, Ingemar, et al.
(författare)
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Interactive and Intelligent Decision Support in Manufacturing using Simulation Based Innovization and Cloud Computing
- 2014
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Ingår i: 12th International Industrial Simulation Conference 2014. - : Eurosis. - 9789077381830 ; , s. 69-74
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Konferensbidrag (refereegranskat)abstract
- Simulation-based innovization is a method for extracting knowledge from a simulation model and optimization. This method can help decision makers to make high-quality decisions for their manufacturing systems so as to enhance the competitiveness of companies. Nevertheless, the simulation-based innovization process can be computationally costly and having these resources in-house can be expensive. By running the process in a cloud environment instead, the company only pays for the resources they are using. This paper proposes the concept of a cloud-based computing platform that can run the simulation-based innovization process and discuss its possibilities and challenges.
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| 5. |
- Pehrsson, Leif, 1970-, et al.
(författare)
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Aggregated Discrete Event Modelling for Simulation and Optimisation of Manufacturing Systems
- 2014
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Ingår i: 12th International Industrial Simulation Conference 2014. - : Eurosis. - 9789077381830 ; , s. 83-90
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Konferensbidrag (refereegranskat)abstract
- In many simulation studies for factory analysis, for example, to locate the constraint of an entire factory that consists of multiple production lines, it may not be effective to put every process detail into a single model. Firstly, to develop such a factory-wide model would be very time-consuming. Secondly, it can be very computational costly to run the model, especially if simulation-based optimisation is applied to find the optimal setting from such a complex model that possesses all the details of the processes. In this regard, aggregation, with which multiple process steps are aggregated into some simpler simulation objects, is an effective method to reduce both the development and computational times. On one hand, based on the initial analysis, the simulation expert can pinpoint the sub-system that restrains the performance of the entire factory and decide if a more detailed model is needed. On the other hand, interline buffers/storages can be readily optimised by using such an aggregated model. Through an application study with data from a real-world factory, this paper introduces a novel aggregation method and illustrates the potential of the abovesaid concepts.
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| 6. |
- Syberfeldt, Anna, et al.
(författare)
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A Case Study of Evolutionary Simulation Based Optimization in Aircraft Engine Manufacturing
- 2014
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Ingår i: 12th International Industrial Simulation Conference 2014. - : EUROSIS. - 9789077381830 ; , s. 91-96
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Konferensbidrag (refereegranskat)abstract
- This paper describes an application of simulation-based optimization within the aircraft engine manufacturing domain. The study is performed at the company GKN Aerospace and considers the optimization of priorities of components in x-ray stations. More specifically, the optimization aims to reduce delays by finding an efficient prioritization of components waiting to be x-rayed. An evolutionary optimization algorithm is being implemented and connected to a discrete-event simulation model for evaluating solutions. For deploying the simulation-based optimization, a web-based system is developed that adopts distributed simulation agents for increased efficiency. © 2014 EUROSIS-ETI.
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