It is interesting and challenging to study double-ended queues with First-Come-First-Match discipline under customers' impatient behavior and non-Poisson inputs. The system stability can be guaranteed by the customers' impatient behavior, while the existence of impatient customers makes analysis of such double-ended queues more difficult or even impossible to find an explicitly analytic solution, thus it becomes more and more important to develop effective numerical methods in a variety of practical matching problems. This paper studies a block-structured double-ended queue, whose block structure comes from two independent Markovian arrival processes (MAPs), which are non-Poisson inputs. We show that such a queue can be expressed as a new bilateral quasi birth-and-death (QBD) process which has its own interest. Based on this, we provide a detailed analysis for both the bilateral QBD process and the double-ended queue, including the system stability, the queue size distributions, the average stationary queue lengths, and the sojourn time of any arriving customers. Furthermore, we develop three effective algorithms for computing the performance measures (i.e., the probabilities of stationary queue lengths, the average stationary queue lengths, and the average sojourn times) of the double-ended queue with non-Poisson inputs. Finally, we use some numerical examples in tabular and graphical to illustrate how the performance measures are influenced by some key system parameters. We believe that the methodology and results described in this paper can be applicable to deal with more general double-ended queues in practice, and develop some effective algorithms for the purpose of many actual uses.
翻译:在客户的不耐烦行为和非Poisson投入下,以客户的不耐烦行为和非Poisson 投入来研究双队制的双队制是有趣而具有挑战性的。 系统稳定性可以通过客户的不耐烦行为来保证。 而不耐烦的客户的存在使得分析这种双队制的双队制更加困难,甚至不可能找到一个明确的分析解决方案,因此,在各种实际匹配问题中制定有效的数字方法变得越发重要。 本文研究一个由两个独立的Markovian抵达过程(MAPs)组成的双队制双队制的队制结构。 此外,我们开发了三种有效的算法,用于计算业绩计量的双队制准生死(QBD)过程,而这种算法有其自身的兴趣。 在此基础上,我们为双边的QBD进程和双队制的队制方法提供了详细分析,包括系统稳定性、排队规模分布、平均队列排程长度长度、平均排程长度以及任何抵达客户的阵列时间。 此外,我们开发了三种有效的算法,用以计算纸质度衡量标准,我们的平均队列的行内的平均行距、平均运算算,最后的行算方法可以用来解释。