Performance estimation of an email contact center by a finite source discrete time Geo/Geo/1 queue with disasters

A discrete-time retrial queue with negative customers and unreliable server

“…However, it is well known that in a contact (call) center management scenario, the impact of customer retrial phenomenon can not be ignored for the performance of the whole system (see Aguir, Karaesmen, Aks ßin, & Chauvet, 2004). Jolai, Asadzadeh, and Taghizadeh (2008) also pointed out the flexibility of combining the retrial process in their model at the end of the paper.…”

“…Another interesting example concerning the presence of disasters in discrete-time queueing systems is studied in a very recent paper published in this journal, see Jolai, Asadzadeh, and Taghizadeh (2008). They modeled an email contact center with disasters as a finite source discrete-time Geo=Geo=1=1=N queue with disasters, but without customer retrials.…”

A discrete-time retrial queueing system with starting failures, Bernoulli feedback and general retrial times

“…One of the advantages of dealing with discrete-time models is that they have been found more appropriate that their continuous-time counterpart for modelling computer and telecommunication systems. The discrete time scale is applied for example, on a mail contact center, see Jolai, Asadzadeh, and Taghizadeh (2008), or on a communication channel or the clock time unit in a computer system fixed size data units (bits, bytes, fixed length packets), etc. Also the discrete-time queues are applicable to slotted systems such as Aloha and ATM (Asynchronous Transfer Mode) in B-ISDN (Broadband Integrated Services Digital Network).…”

A preemptive discrete-time priority buffer system with partial buffer sharing

“…For extensive treatments of various types of discrete-time queues and their applications, readers are referred to [1][2][3][4][5][6][7][8][9]. Discrete-time queues are also used in modeling the inventories in supply chain management as well as operating systems [10,11].…”