Delivering relative differentiated services in future high-speed networks using hierarchical dynamic deficit round robin
1
Citation
28
Reference
10
Related Paper
Identification
Cite
Citations (14)
Cite
Citations (4)
Identification
Traffic system
Cite
Citations (11)
A variety of established approaches exist for the detection of dynamic bottlenecks. Furthermore, the prediction of bottlenecks is experiencing a growing scientific interest, quantifiable by the increasing number of publications in recent years. Neglected, on the other hand, is the diagnosis of occurring bottlenecks. Detection methods may determine the current location of a bottleneck, while predictive approaches may indicate the location of an upcoming bottleneck. However, mere knowledge of current and future bottlenecks does not enable concrete actions to be taken to avoid the bottlenecks, nor does it open up any immediate advantage for manufacturing companies. Since small and medium-sized companies in particular have limited resources, they cannot implement improvement measures for every bottleneck that occurs. Due to the shifts of dynamic bottlenecks, the selection of the mostsuitable stations in the value stream becomes more difficult. This paper therefore contributes to the neglected field of bottleneck diagnosis. First, we propose two data-driven metrics, relative bottleneck frequency and relative bottleneck severity, which allow a quantitative assessment of the respective bottleneck situations. For validation purposes, we apply these metrics in nine selected scenarios generated using discrete event simulation in a value stream with a serial manufacturing line. Finally, we evaluate and discuss the results.
Cite
Citations (0)
The performance of a manufacturing or logistic system is determined by its constraints. Therefore, in order to improve the performance, it is necessary to improve the constraints, also known as the bottlenecks. Finding the bottlenecks, however, is not easy. We compare the two most common bottleneck detection methods, based on the utilization and the waiting time, with the shifting bottleneck detection method developed by us, for AGV systems. We find that the two conventional methods have many shortcomings compared to the shifting bottleneck detection method. In the example presented here, conventional methods are either unable to detect the bottleneck at all or detect the bottleneck incorrectly. The shifting bottleneck detection method not only finds the bottlenecks but also determines the magnitude of the primary and secondary bottlenecks.
Cite
Citations (54)
Cite
Citations (3)
This paper presents an algorithm for removing the timestamp of a video surveillance before it is merged to form a panorama surveillance video. Timestamp localization and timestamp pixel recovery are two challenging tasks for developing timestamp removal algorithm. This paper presents a novel localization procedure which first localizes the second-digit by using a pixel secondly-periodicity method. And then it develops a procedure for timestamp removal. Experimental results show that the algorithm can accurately localize timestamp in a very low computing cost and that the performance of timestamp removal is visually acceptable.
Panorama
Cite
Citations (2)
The impact of the bottleneck is obvious duringthe peak period because of the limited capacity and the strong cluster effect of subway passenger. The bottleneck facility can affect the overall operational efficiency of the station and decrease the comfort of passengers. The objective of this paper is to improve the efficiency of the whole network in the station by analyzing the passengers queuing characteristics of different facilities and to adjusting the high-density passenger flow. The performance of finite queuing network in the subway station is well evaluated based on M/G/C/C state-dependent space model and M/M/C/C model. The queuing model is well employed to analyze the procedure of passenger movement, calculate the key parameters at certain area and identify the bottleneck. The method of multipoint interlink control method is applied to optimize passenger flow distribution at bottlenecks. According to the facility layout and passenger flow characteristics of the typical streamline network, an optimal scheme for the mitigation was designed. Case study of the subway stations in Beijing were implemented to verify the validity and practicability of the proposed method.
Cite
Citations (2)
The performance of a manufacturing or logistic system is determined by its constraints. Therefore, in order to improve the performance, it is necessary to improve the constraints, also known as the bottlenecks. Finding the bottlenecks, however, is not easy. This paper compares the two most common bottleneck detection methods, based on the utilization and the waiting time, with the shifting bottleneck detection method developed by us, for AGV systems. We find that the two conventional methods have many shortcomings compared to the shifting bottleneck detection method. In the example presented here, conventional methods are either unable to detect the bottleneck at all or detect the bottleneck incorrectly. The shifting bottleneck detection method not only finds the bottlenecks but also determines the magnitude of the primary and secondary bottlenecks.
Cite
Citations (10)