The Experts below are selected from a list of 53355 Experts worldwide ranked by ideXlab platform
Daniel Noack - One of the best experts on this subject based on the ideXlab platform.
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a multi stage discrete event simulation approach for scheduling of maintenance activities in a semiconductor Manufacturing Line
Winter Simulation Conference, 2012Co-Authors: Wolfgang Scholl, Marcin Mosinski, Boon Ping Gan, Peter Lendermann, Patrick Preuss, Daniel NoackAbstract:Discrete event simulation (DES) has been established as a frequently used decision-support method in semiconductor Manufacturing. One of the key application areas is the planning and scheduling of extended (several days) maintenance activities. The first stage of maintenance activity planning is conducted with a transient long-term simulation model with the focus on evaluating the effect of maintenance activity on the expected fab performance. Decisions such as wafer start reduction or adjustment of delivery commitments among affected work centers are made. The second stage of the planning is initiated several days before the start of the maintenance activities, where resource planning and scheduling of the activity is done through assessment of the expected WIP situation forecasted by a high fidelity onLine simulation model. In this paper, we will explain this simulation-based multi-stage approach for maintenance activity scheduling. The associated benefits and challenges will be presented with an example use case.
Corina Popescu - One of the best experts on this subject based on the ideXlab platform.
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A Petri Net-based Approach to Incremental Modelling of Flow and Resources in Service-Oriented Manufacturing Systems
International Journal of Production Research, 2011Co-Authors: Corina Popescu, Maria Cavia Soto, Jose Luis Martinez LastraAbstract:In order to overcome the myopia problem, routing strategies must be based on formal representations of flow that automatically account for modifications in the values of parameters of interest and in the model itself. This work addresses this problem and discusses how to automatically incorporate resources (e.g. workstations/ transportation devices/ storages) in a Petri Net derived model of flow that is modifiable at runtime to reflect and influence the routing in a Manufacturing Line. The modelling approach takes into consideration scalability needs and was experimentally validated. The applicability of the models is shown for PN-based dynamic scheduling.
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runtime modeling of flow for dynamic deadlock free scheduling in service oriented factory automation systems
Iete Technical Review, 2009Co-Authors: Corina Popescu, Maria De Los Angeles Cavia Soto, Jose Martinez L LastraAbstract:AbstractChanges in equipment and production demand cannot be predicted at the design stage. Therefore, decision taking mechanisms must rely on real time information collected from the shop floor. To perform scheduling and routing optimization, not only modifications in values of parameters of interest, but also in the flow itself must be accounted for. This paper addresses this problem and proposes a method to formally model, at runtime, the flow within a service-oriented Manufacturing Line. The resulting representation assists deadlock free dynamic scheduling of the system.
Guan Yuming - One of the best experts on this subject based on the ideXlab platform.
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IFITA (3) - Research on MAC in Zinc-Air Battery Pole Manufacturing Line
2009 International Forum on Information Technology and Applications, 2009Co-Authors: Guan Yuming, Xiao Yanjun, Wang Zhifeng, Xu BoAbstract:The system of zinc-air battery pole Manufacturing Line is multi-variable, large time lag and strong coupling, and it is difficult to build the precise math model. So the traditional PID control is difficultly designed and realized. Since the recent years, the self-adaptive and self-tuning control has been rapidly developed, which can resolve uncertain questions in some degree. But in nature it still request model identification onLine, and the robust is not very well. The model algorithmic control (MAC), brought forward by Mehra etc, is one of predictive control theories. It adopts the non-parameter model based the pulse or step response of the controlled object, and doesn’t need precise model. At the same time, the MAC is convenient to be acquired and the control quality is excellent. In this paper, the MAC was applied in zinc-air battery pole Manufacturing Line, which adopts the strategies of reference trajectory, onLine calibration and optimization calculation. Through the simulation results, the controller can concertedly regulate control variable, and achieve the goal, which the PID controller can't do.
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IFITA (3) - Research on Tension Control Strategy of Dry-Powder-Embedded Zinc-Air Battery Pole Manufacturing Line
2009 International Forum on Information Technology and Applications, 2009Co-Authors: Xiao Yanjun, Guan Yuming, Zhu Bo, Xiao YanchunAbstract:Continuous production process will be realized by dry-powder-embedded Zinc-air battery pole Manufacturing Line, which has important significance on the spread and application of Zinc-air. Tension is the most important factor of the electrode moulding quality. The force of current collector should be kept constant. Control performance of PID algorithm and fuzzy adaptive PID algorithm were researched. Based on MATLAB/ Simulink toolbox, they were compared. The results show that the fuzzy PID algorithm can adapt to various conditions, and provides better control performance for the Line. Fuzzy PID algorithm was realized by graphical language LabVIEW.
Jeonghan Ko - One of the best experts on this subject based on the ideXlab platform.
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robust Manufacturing Line design with controlled moderate robustness in bottleneck buffer time to manage stochastic inter task times
Journal of Manufacturing Systems, 2013Co-Authors: Ehsan Nazarian, Jeonghan KoAbstract:Abstract Task time variations in a Manufacturing Line can result in a longer time to complete tasks than a given cycle time, leading to Line stoppage and loss of production time. In practice, a portion of the cycle time is often allocated as a predefined fixed-size buffer time, determined based on experience, to account for such uncertain variations for a paced Line without storage-buffers between stations. However, the size of the required buffer time in each station depends on the variation levels of task times and the desired conservatism level for preventing cycle time violation. In addition, there are uncertainties in other non-value adding activity times in stations, known as inter-task times. Although many studies on stochastic Manufacturing Line design focused on minimizing the cost incurred when the cycle time is exceeded due to task time variations, they mostly disregarded the inter-task times. Furthermore, it is worth studying the simultaneous effect of the Manufacturing time uncertainty level and that of the conservatism level on the cycle time. This paper proposes a new method for moderately robust Manufacturing Line design that incorporates the conservatism level and uncertainties in the task and inter-task times. A new interpretation of the non-productive times in stations is presented by introducing the concept of the α -fractal buffer time to manage the effect of Manufacturing time uncertainties. To overcome the problem of excessive robustness, a moderate robust approach with conservatism-level flexibility is used, focusing on the cycle time in the bottleneck station. The effect of the uncertainties and conservatism levels on the cycle time is analyzed through numerical examples. This study can be used for improving a Manufacturing system in which uncertainties in tasks and inter-task times significantly degrade its productivity.
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design of multi product Manufacturing Lines with the consideration of product change dependent inter task times reduced changeover and machine flexibility
Journal of Manufacturing Systems, 2010Co-Authors: Ehsan Nazarian, Jeonghan Ko, Hui WangAbstract:Traditional research work in Manufacturing Line design assumes that the times between Manufacturing tasks performed on a workstation are independent of the task sequence on that station. Furthermore, such studies paid little attention to the sequence dependent inter-task times in multi-model production. Since the inter-task times related to product model changeover have significant impact on Manufacturing Line performance, it is necessary to take into account the inter-task times explicitly in multi-model Manufacturing Line design. The need for this consideration is growing as product variety increases. This paper presents mathematical models of Manufacturing Line design with the consideration of product change related inter-task times in evaluating station times for multi-model production. An optimization model is developed using mixed integer programming to minimize Manufacturing Line cost. The model takes into account the recurrence of Manufacturing tasks in a station to determine the machine type in a station. This paper also presents a heuristic solution procedure developed for efficient calculation. This paper also investigates how product model build sequences and inter-task times affect Manufacturing Line performance. The developed models will help enhance task-station assignment in multi- and mixed-model production by increasing Line cost effectiveness and reducing Line changeover impact as well as shortening long re-balancing processes.
Xiao Yanjun - One of the best experts on this subject based on the ideXlab platform.
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IFITA (3) - Research on MAC in Zinc-Air Battery Pole Manufacturing Line
2009 International Forum on Information Technology and Applications, 2009Co-Authors: Guan Yuming, Xiao Yanjun, Wang Zhifeng, Xu BoAbstract:The system of zinc-air battery pole Manufacturing Line is multi-variable, large time lag and strong coupling, and it is difficult to build the precise math model. So the traditional PID control is difficultly designed and realized. Since the recent years, the self-adaptive and self-tuning control has been rapidly developed, which can resolve uncertain questions in some degree. But in nature it still request model identification onLine, and the robust is not very well. The model algorithmic control (MAC), brought forward by Mehra etc, is one of predictive control theories. It adopts the non-parameter model based the pulse or step response of the controlled object, and doesn’t need precise model. At the same time, the MAC is convenient to be acquired and the control quality is excellent. In this paper, the MAC was applied in zinc-air battery pole Manufacturing Line, which adopts the strategies of reference trajectory, onLine calibration and optimization calculation. Through the simulation results, the controller can concertedly regulate control variable, and achieve the goal, which the PID controller can't do.
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IFITA (3) - Research on Tension Control Strategy of Dry-Powder-Embedded Zinc-Air Battery Pole Manufacturing Line
2009 International Forum on Information Technology and Applications, 2009Co-Authors: Xiao Yanjun, Guan Yuming, Zhu Bo, Xiao YanchunAbstract:Continuous production process will be realized by dry-powder-embedded Zinc-air battery pole Manufacturing Line, which has important significance on the spread and application of Zinc-air. Tension is the most important factor of the electrode moulding quality. The force of current collector should be kept constant. Control performance of PID algorithm and fuzzy adaptive PID algorithm were researched. Based on MATLAB/ Simulink toolbox, they were compared. The results show that the fuzzy PID algorithm can adapt to various conditions, and provides better control performance for the Line. Fuzzy PID algorithm was realized by graphical language LabVIEW.