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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<strong>and</strong> knowledge flow in such an organization, <strong>and</strong> show how the staffers <strong>of</strong> a help desk cooperate<br />
to solve a particular problem. We present the current state <strong>of</strong> help desks, <strong>and</strong> describe the<br />
dimensions <strong>and</strong> opportunities for cooperation among the staffers <strong>of</strong> help desks. Our hypothesis<br />
is that high degrees <strong>of</strong> cooperation are possible between the staffers <strong>of</strong> help desks, <strong>and</strong> that this<br />
cooperation can be facilitated through the use <strong>of</strong> DAI frameworks.<br />
4. Andrews, Bruce <strong>and</strong> Henry Parsons. Establishing telephone-agent staffing levels through economic<br />
optimization, Interfaces, 23 (2), 1993, 14–20.<br />
Abstract. We developed <strong>and</strong> implemented an economic-optimization model for telephone-agent<br />
staffing at L.L. Bean, a large tele-marketer <strong>and</strong> mail-order catalog house for quality outdoor<br />
sporting goods <strong>and</strong> apparel. The staffing levels we obtained with economic optimization were<br />
very different from those used by the company in the past, when staff size was determined by<br />
service-level criteria. For L.L. Bean, the resultant savings were estimated to amount to more<br />
than $500,000 per year. In the model, we used queuing theory, devised an expected total-cost<br />
objective function, <strong>and</strong> accounted for retrials <strong>and</strong> potential caller ab<strong>and</strong>onments through a regression<br />
model that related the ab<strong>and</strong>onment rates to the telephone-service factor (percentage<br />
<strong>of</strong> calls answered within a predetermined time interval).<br />
Keywords: Telephone agent staffing levels, Economic optimization, L.L. Bean, Telemarketer,<br />
Mail-order catalog house, Outdoor sporting goods, Apparel, Queuing theory, Expected total<br />
cost objective function, Retrials, Potential caller ab<strong>and</strong>onments, Regression model<br />
(Appears also in Section I.)<br />
5. Brig<strong>and</strong>i, Anthony J., Dennis R. Dargon, Michael J. Sheehan <strong>and</strong> Thomas Spencer III. AT&T’s<br />
call processing simulator (CAPS) operational design for inbound call centers, Interfaces, 24 (1),<br />
1994, 6–28.<br />
Abstract. Since 1978, AT&T has been developing the call processing simulator (CAPS) to<br />
design <strong>and</strong> evaluate inbound call centers. The current version <strong>of</strong> CAPS is a user-friendly PCbased<br />
system employing a discrete event simulation model with animation <strong>and</strong> queuing models<br />
<strong>of</strong> both the telecommunications network <strong>and</strong> AT&T’s business customer’s call center environment.<br />
Using CAPS, AT&T can model a network <strong>of</strong> call centers utilizing advanced 800 network<br />
features before its customers make capital investments to start or change their call centers. In<br />
1992, AT&T completed about 2,000 CAPS studies for its business customers, helping it increase,<br />
protect, <strong>and</strong> regain more than $1 billion in an $8-billion 800-network market. The CAPS tool<br />
is also the turnkey for more than $750 million in annual pr<strong>of</strong>it for AT&T’s business customers<br />
who received CAPS studies.<br />
Keywords: AT&T, Call processing simulator, CAPS, Inbound call centers, User-friendly PCbased<br />
system, Animation, Queuing models, Telecommunications network, Advanced 800 network<br />
features<br />
(Appears also in Section IX.)<br />
6. Apte, U.M. <strong>and</strong> R.O. Mason. Global disaggregation <strong>of</strong> information-intensive services, Management<br />
Science, 41 (7), 1995, 1250–1262.<br />
150