Identification of the Actual Distribution of Demand for Spare Parts in Car Maintenance Service Stations
Issue:
Volume 2, Issue 3, May 2017
Pages:
26-31
Received:
21 May 2017
Accepted:
13 June 2017
Published:
14 July 2017
DOI:
10.11648/j.ajtte.20170203.11
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Abstract: The main goal of the work is to choose the theoretical distribution function most consistent with the empirical function of fault distribution based on the analysis of statistical information of previous replenishment periods about the failures of details of each type of par value. This information should be accumulated on daily information about the replacement of spare parts of failed parts in vehicles that arrived during the entire period of replenishment for maintenance at this service station. The choice of the best theoretical distribution function in this sense is made from a set of a finite number of competing parametric distributions (exponential, normal, log-normal, We bull, monotonic and no monotonic diffusion) by Kolmogorov-Smirnov's test. The advantage of this criterion in comparison with other consent criteria is that, along with an estimate of the accuracy of the approximation of the empirical failure distribution function. The mutual reversibility of the processes of distribution of the operating time to failure (to failure) and the number of failures is established, the relationship between the expressions for the distribution function of the operating time to a fixed number of failures and the function of the distribution of the number of failures for a fixed operating time to failure is obtained. This ratio allows you to choose the best distribution model based on the available fault statistics of parts (and replacing them with the corresponding spare parts) in the previous planning periods.
Abstract: The main goal of the work is to choose the theoretical distribution function most consistent with the empirical function of fault distribution based on the analysis of statistical information of previous replenishment periods about the failures of details of each type of par value. This information should be accumulated on daily information about t...
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Research on Bus Priority Control on Non-coordinated Phase Based on Transmodeler——A Case Study of Changjiang Road in Huangdao District of Qingdao
Zhang Junyou,
Liao Yaping
Issue:
Volume 2, Issue 3, May 2017
Pages:
32-38
Received:
26 June 2017
Accepted:
11 July 2017
Published:
1 August 2017
DOI:
10.11648/j.ajtte.20170203.12
Downloads:
Views:
Abstract: Many studies focus only on the bus priority request on coordinated- phase in traffic signal coordination of artery, while ignoring the bus priority control on non-coordinated phases. For the non-coordinated phases with more bus traffic, it is necessary to achieve bus priority control on non-coordinated phases. Based on the coordinated control on artery and bus priority control on the coordinated phase, this paper put forward the control principle of bus priority on the non-coordinated phases for active early turning on and lately breaking green light and the calculation method of the green time on each phase with the limitation of upper and lower limits of the green belt and the minimum green time of every phase. This paper took the Changjiang Road in Huangdao District of Qingdao as an example, and established the existing signal control scheme of Changjiang Road in Transmodeler. After that, we input bus priority control principle on the non-coordinated phases and algorithm put forward in this paper into the simulation software system. Then, two traffic flow conditions were respectively simulated before and after implementing bus priority on the non-coordinated phases of the traffic signal on the Changjiang Road. Finally, the output evaluation index of each intersection signal on two conditions were compared and analyzed. The results showed that the proposed control principle and algorithm could reduce the traffic delay and improve the efficiency of road operation effectively.
Abstract: Many studies focus only on the bus priority request on coordinated- phase in traffic signal coordination of artery, while ignoring the bus priority control on non-coordinated phases. For the non-coordinated phases with more bus traffic, it is necessary to achieve bus priority control on non-coordinated phases. Based on the coordinated control on ar...
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