CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...
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impatient hang up, <strong>and</strong> with limitations on the number <strong>of</strong> access circuits <strong>and</strong> waiting time. A<br />
special iteration algorithm is applied to this model. As the comparison with simulation results<br />
shows, this approach allows one to obtain good results.<br />
Keywords: Automated call distribution system, Analytical model, ACD, Busy signal, Access<br />
circuits, Waiting time, Iteration algorithm, Simulation results<br />
28. Milito, Rodolfo A., Yonatan Levy <strong>and</strong> Yair Arian. Dynamic algorithms for distributed queues<br />
with ab<strong>and</strong>onments. Teletraffic <strong>and</strong> Datatraffic in a Period <strong>of</strong> Change. ITC-13. Proceedings <strong>of</strong><br />
the Thirteenth International Teletraffic Congress. North-Holl<strong>and</strong>, Amsterdam, The Netherl<strong>and</strong>s,<br />
1991, 329–334.<br />
Abstract. In this paper we consider the problem <strong>of</strong> distributing traffic to multiple parallel<br />
queues based on incomplete <strong>and</strong> possibly inaccurate state information. This problem arises in<br />
the context <strong>of</strong> intelligent networks where large customers rely on the network for traffic distribution<br />
to multiple locations. The main contributions <strong>of</strong> the paper are: (i) classification <strong>of</strong><br />
approaches to the problem; (ii) a revenue-driven, Markovian decision model which captures<br />
the crucial elements <strong>of</strong> the problem; pr<strong>of</strong>it maximization, multiple job classes, blocking, <strong>and</strong><br />
ab<strong>and</strong>onments; <strong>and</strong> (iii) demonstration <strong>of</strong> the superior performance <strong>of</strong> implementable dynamic<br />
policies.<br />
29. Nowikow, P. <strong>and</strong> K. Wajda. Agent scheduling for ACD switches. Telecommunication Services<br />
for Developing Economies. Proceedings <strong>of</strong> the ITC Specialist Seminar, Elsevier, Amsterdam,<br />
The Netherl<strong>and</strong>s, 1991, 655–660.<br />
Abstract. The authors describe a system for staff scheduling in automatic call distribution<br />
PBX exchanges based on gathered statistical data. General traffic engineering aspects for ACD<br />
exchanges employing the Erlang C formula are presented. An algorithm for choosing the number<br />
<strong>of</strong> active operators implementing an idea <strong>of</strong> ‘daily call pr<strong>of</strong>ile’ is also included. Trials carried out<br />
for a ROLM 9000 ACD exchange proved that system is technologically feasible <strong>and</strong> economically<br />
attractive.<br />
Keywords: ACD switches, Staff scheduling, Automatic call distribution PBX exchanges, Traffic<br />
engineering aspects, ACD exchanges, Erlang-C formula, Daily call pr<strong>of</strong>ile, ROLM-9000 ACD<br />
exchange<br />
30. Quinn, P., B. Andrews <strong>and</strong> H. Parsons. Allocating telecommunications resources at L.L. Bean,<br />
Inc., Interfaces, 21, 1991, 75–91.<br />
Abstract. We developed <strong>and</strong> implemented a model for optimizing the deployment <strong>of</strong> telemarketing<br />
resources at L.L. Bean, a large telemarketer <strong>and</strong> mail-order catalog house. The<br />
deployment levels obtained with economic optimization were significantly different from those<br />
formerly determined by service-level criteria, <strong>and</strong> the resultant cost savings were estimated as<br />
$9 to $10 million per year. To develop the economic-optimization approach, we used queueing<br />
theory, devised an expected total-cost objective function, <strong>and</strong> accounted for retrial behavior <strong>and</strong><br />
potential caller ab<strong>and</strong>onments through a regression model that related the ab<strong>and</strong>onment rates<br />
11