| 1. |
- Barrera Diaz, Carlos Alberto, 1987-, et al.
(författare)
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A Study of Discrete Event Simulation Project Data and Provenance Information Management in an Automotive Manufacturing Plant
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : IEEE. - 9781538634288 - 9781538634295 - 9781538634301 ; , s. 4012-4023
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Konferensbidrag (refereegranskat)abstract
- Discrete Event Simulation (DES) project data management is a complex and important engineering activity which impacts on an organization’s efficiency. This efficiency could be decreased by the lack of provenance information or the unreliability of existing information regarding previous simulation projects, all of which complicates the reusability of the existing data. This study presents an analysis of the management of simulation projects and their provenance data, according to the different types of scenarios usually found at a manufacturing plant. A survey based on simulation projects at an automotive manufacturing plant was conducted, in order to categorize the information regarding the studied projects, map the available provenance data and standardize its management. This study also introduces an approach that demonstrates how a structured framework based on the specific data involved in the different types of scenarios could allow an improvement of the management of DES projects.
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| 2. |
- Karlsson, Ingemar, et al.
(författare)
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Combining augmented reality and simulation-based optimization for decision support in manufacturing
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538634288 - 9781538634295 - 9781538634301 ; , s. 3988-3999
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Konferensbidrag (refereegranskat)abstract
- Although the idea of using Augmented Reality and simulation within manufacturing is not a new one, the improvement of hardware enhances the emergence of new areas. For manufacturing organizations, simulation is an important tool used to analyze and understand their manufacturing systems; however, simulation models can be complex. Nonetheless, using Augmented Reality to display the simulation results and analysis can increase the understanding of the model and the modeled system. This paper introduces a decision support system, IDSS-AR, which uses simulation and Augmented Reality to show a simulation model in 3D. The decision support system uses Microsoft HoloLens, which is a head-worn hardware for Augmented Reality. A prototype of IDSS-AR has been evaluated with a simulation model depicting a real manufacturing system on which a bottleneck detection method has been applied. The bottleneck information is shown on the simulation model, increasing the possibility of realizing interactions between the bottlenecks.
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| 3. |
- Ruiz Zúñiga, Enrique, 1986-, et al.
(författare)
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Integrating Simulation-Based Optimization, Lean, and the Concepts of Industry 4.0
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : IEEE. - 9781538634288 - 9781538634295 - 9781538634301 ; , s. 3828-3839
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Konferensbidrag (refereegranskat)abstract
- Nowadays, due to the need of innovation and adaptation for the mass production of customized goods,many industries are struggling to compete with the manufacturing sector emerging in different countriesaround the world. The understanding and implementation of different improvement techniques isnecessary in order to take part in the so-called fourth industrial revolution, Industry 4.0. This paperinvestigates how two well-known improvement approaches, namely lean and simulation-basedoptimization, can be combined with the concepts of Industry 4.0 to improve efficiency and avoid movingproduction to other countries. Going through an industrial case study, the paper discusses how such acombination could be carried out and how the different strengths of the three approaches can be utilizedtogether. The case study focuses on how the efficiency of a production site can be increased and howIndustry 4.0 can support the improvement of the internal logistics on the shop floor.
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| 4. |
- Moustaid, Elhabib, 1990-, et al.
(författare)
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A hybrid approach for building models and simulations for smart cities : Expert knowledge and low dimensionality
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538634288 ; , s. 1551-1562
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Konferensbidrag (refereegranskat)abstract
- In face of high urbanization and increasing mobility, models and simulations are used to find answers for urban planning problems. However, simulations face criticism for over-simplifying complex reality, having models disconnected from the context of their use or excluding policy-makers from the building of models. Smart city approaches did not overcome that reality even if they relied more and more on microscopic models, together with data available through technology. This article describes a hybrid approach combining the expert knowledge on the city and its limits in terms of data, with models having the right dimensionality to provide policy-makers and urban managers with the necessary information for understanding and managing the city. This approach has been applied in Venice, but it describes in more general terms a way of bridging the world of theoretically sound models with their potential use.
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| 5. |
- Persson, Fredrik, et al.
(författare)
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USING SIMULATION TO DETERMINE THE SAFETY STOCK LEVEL FOR INTERMITTENT DEMAND
- 2017
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Ingår i: 2017 WINTER SIMULATION CONFERENCE (WSC). - : IEEE. - 9781538634288 ; , s. 3768-3779
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Konferensbidrag (refereegranskat)abstract
- Safety stock calculations are difficult for products with intermittent demand, long production lead times, and high monetary values. Theoretically, forecasts can be used to reduce the need for safety stocks. A high precision forecast minimizes the need for safety stock and forecast evaluation measurements can be used to calculate the safety stock level. However, a more realistic determination of safety stock levels can he obtained by simulation. In this paper, simulation is used to model and experiment on a case with three end products in order to determine the relationship between safety stock levels and service levels. Also, a comparison is made with theoretically calculated safety stocks to see how well basic theoretical models for safety stock calculations fulfill the requirements of service level. The result is that simulation can provide a much more accurate determination of safety stock levels for intermittent demands than theoretical calculations.
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| 6. |
- Raghothama, Jayanth, et al.
(författare)
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Hybrid, composable approach to simulations in healthcare operations and management
- 2017
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Ingår i: Proceedings of the 2017 Winter Simulation Conference. - : ACM Digital Library. - 9781538634288 ; , s. 2857-2868
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Konferensbidrag (refereegranskat)abstract
- Simulation has been used for modeling in healthcare for many decades. Ranging from the modeling of physiological processes to group dynamics to the modeling of strategic and system-wide models of healthcare provision, simulation promises to be an effective approach to analyze healthcare operations. Effective application of simulations in healthcare operations requires that simulation deal with wide variability and unpredictability in workflow processes, the complexity of healthcare organizations and enables the participation of human experts in the modeling and operations processes. In this paper, based on requirements drawn from a participatory simulation with healthcare practitioners, we define a hybrid, composable approach to healthcare simulations. Both the participatory simulation and the composable simulation are applied in the context of the New Karolinska Solna hospital in Sweden, a highly specialized new hospital. Results point to the need to accounting for variability in workflow processes and integration with existing IT infrastructure in hospitals.
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| 7. |
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