摘要
随着经济社会的发展,服务系统排队的顾客不再被看作被动进入的群体,而是当作具有自我决策行为的个体来研究。部分学者给出了较为简单的顾客排队决策模型,但是其结果与现实系统仍然有一定的差距。探索其核心原因,从考虑沉没成本及时间价值非线性两个角度对现有决策模型进行了修正,提出了新的更加灵活的模型,数值分析证明该模型更有效地阐述了现实中的顾客排队决策。进一步阐述了在该模型条件下的M/M/1排队模型服务率优化问题。此外,提出一种基于队长变换服务速率的策略来减少顾客不耐烦行为对系统的影响,并提出了服务率转换点优化决策的算法,数值实验证明这种可变服务率的策略比固定服务率的策略能够使服务商提高0.1%(参数取值均较小的情况下)。
With the development of the economy, the customers in the queuing system are never regarded as passive groups but subjects with their own decision-making skills. Some early scholars put forward some oversimplified queuing decision-making models, which deviate from the real systems. To solve this problem, this article put forward a new flexible queuing decision- making model by taking into account the sunk cost and nonlinear waiting cost and the numerical experiments shows that this new model is more precise than the traditional ones. On the base of this new model, this article discusses the optimization of the service rate in M/M/1 queuing system. Moreover,this article discusses the service rate changing strategy which can mitigate the impatient customers＇ impact on the system and puts forward an algorithm to get the optimal service rate changing threshold. Numerical experiment shows that the new strategy can promote the benefits by O. 1 ~ under the small parameters.
出处
《工业工程与管理》
CSSCI
北大核心
2012年第3期36-40,46,共6页
Industrial Engineering and Management
基金
国家自然科学基金重点项目(71002037
70932004)
中国国家博士点基金项目(20090073110035
20100073120080)
上海市教委2009年度科研创新重点项目(09ZZ19)
关键词
沉没成本
时间容忍度
服务率转换点
优化决策
sunk cost
waiting cost service rate changing threshold optimization decision
