昆明理工大学信息工程与自动化学院
纸质出版:2017
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[1]赵培瑶,向凤红,毛剑琳,郭宁,张传龙.基于汽车检测设备共享的混合制动态排队论系统研究[J].传感器与微系统,2017,36(02):25-27.
ZHAO Pei-yao, XIANG Feng-hong, MAO Jian-lin, et al. Study on mixing dynamic system based on car diagnosis equipment sharing[J]. 2017, 36(2): 25-27.
[1]赵培瑶,向凤红,毛剑琳,郭宁,张传龙.基于汽车检测设备共享的混合制动态排队论系统研究[J].传感器与微系统,2017,36(02):25-27. DOI: 10.13873/J.1000-9787(2017)02-0025-03.
ZHAO Pei-yao, XIANG Feng-hong, MAO Jian-lin, et al. Study on mixing dynamic system based on car diagnosis equipment sharing[J]. 2017, 36(2): 25-27. DOI: 10.13873/J.1000-9787(2017)02-0025-03.
如何以有限的设备提供更好的检测服务成为汽车检测行业的首要问题。针对目前多数研究者仅仅做到对客户分类
并未考虑顾客流量随时间变化而服务台配置不变引起的配置不合理问题
提出了一种基于顾客流量变化的服务台混合制动态配置算法(MDSWCA)。仿真结果表明:该算法能有效增加系统的总服务时间和有效吞吐量
能很好地解决顾客流量随时间变化的汽车检测问题
明显降低服务成本。
How to provide better testing services using limited equipment becomes the primary issue of car diagnosis industry. In view of the present situation that most researchers just do classification to the customer while neglecting unreasonable configuration issue caused by ignoring the problem that serving window configuration remain unchanged while the customer flow is changing with time go on. Propose mixing dynamic serving window configuration algorithm( MDSWCA) based on varying customer flow. Simulation result shows that this algorithm can increase total serving time and effective throughput
it can solve problem of car diagnosis while customer flow change with time varing
besides the system cost is decreased as well.
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