scholarly journals Optimasi Tingkat Layanan Call Center Jasa Teleponi Dasar: Kajian Regulasi

2019 ◽  
Vol 9 (3) ◽  
pp. 151
Author(s):  
Hendro Purwadi

Service level in the call center is calculated based on the number of calls answered during the certain time intervals compared to the total number of calls received. The measurement of service level on the call center operator starts when the caller presses the menu to talk to the  operator on interactive voice response (IVR) menu, and is expressed as a percentage. The higher expected percentage of service level will be higher the needs of operator in the services.  Regulation in Indonesia determines service level for the call center of Basic Telephony Services is in the amount of more than or equal to 90% in 30 seconds. The author uses a business approach to the operational of the call center to analyze existing statutory data. Through the comparative method between operator occupancy and the costs required for the operation of call center using supply and demand curve, the optimum service level value at the call center of Basic Telephony Services can be known, which is 85% in 25 seconds. This means that 85% of incoming calls must be answered by the operator with a maximum waiting time of 25 seconds.

2015 ◽  
Vol 4 (3(24)) ◽  
pp. 4
Author(s):  
Олександр Іванович Федюшин ◽  
Олексій Іванович Баленко

Top ◽  
2004 ◽  
Vol 12 (1) ◽  
pp. 91-110 ◽  
Author(s):  
Raj Srinivasan ◽  
Jérome Talim ◽  
Jinting Wang

2014 ◽  
Vol 20 (10) ◽  
pp. 2030-2033
Author(s):  
M. Firdaus ◽  
Warnia Nengsih ◽  
Ibnu Surya

2013 ◽  
Vol 70 (6) ◽  
pp. 440-453 ◽  
Author(s):  
Chesoong Kim ◽  
Alexander Dudin ◽  
Sergey Dudin ◽  
Olga Dudina

2015 ◽  
Vol 29 (3) ◽  
pp. 461-471 ◽  
Author(s):  
G.M. Koole ◽  
B.F. Nielsen ◽  
T.B. Nielsen

We examine how overflow policies in a multi-skill call center should be designed to accommodate performance measures that depend on waiting time percentiles such as service level. This is done using a discrete Markovian approximation of the waiting time of the first customers waiting in line. A Markov decision chain is used to determine the optimal policy. This policy outperforms considerably the ones used most often in practice, which use a fixed threshold. The present method can be used also for other call-center models and other situations where performance is based on actual waiting times and customers are treated in a FCFS order.


2010 ◽  
Vol 66 (3) ◽  
pp. 215-237 ◽  
Author(s):  
Polyna Khudyakov ◽  
Paul D. Feigin ◽  
Avishai Mandelbaum

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