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This paper presents an improved method to calculate the delay distribution of a type k customer in a first-come-first-serve (FCFS) discrete-time queueing system with multiple types of customers, where each type has different service requirements, and c servers, with c = 1, 2 (the MMAP[K]/PH[K]/c queue).The first algorithms to compute this delay distribution, using the GI/M/1 paradigm, were presented in [9,10].The two most limiting properties of these algorithms are: (i) the computation of the rate matrix R related to the GI/M/1 type Markov chain, (ii) the amount of memory needed to store the transition matrices A l and B l .In this paper we demonstrate that each of the three GI/M/1 type Markov chains used to develop the algorithms in [9,10] can be reduced to a QBD with a block size which is only marginally larger than that of its corresponding GI/M/1 type Markov chain.As a results, the two major limiting factors of each of these algorithms are drastically reduced to computing the G matrix of the QBD and storing the 6 matrices that characterize the QBD.Moreover, these algorithms are easier to implement, especially for the system with c = 2 servers.We also include some numerical examples that further demonstrate the reduction in computational resources.
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