11.08.2013 Views

CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...

CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...

CALL CENTERS (CENTRES) - Faculty of Industrial Engineering and ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

isfaction. The contact-center “performance” may be restricted to a traditional productivity<br />

measure such as the number <strong>of</strong> calls answered per hour or it may include a broader measure<br />

<strong>of</strong> the quality <strong>of</strong> service, e.g., revenue earned per hour or the number <strong>of</strong> problems successfully<br />

resolved per hour. The analysis is based on an idealized model <strong>of</strong> a contact center, in which the<br />

number <strong>of</strong> employed agents is constant over time, assuming that a new agent is immediately hired<br />

to replace each departing agent. The agent employment periods are assumed to be independent<br />

<strong>and</strong> identically distributed r<strong>and</strong>om variables with a general agent-retention probability distribution,<br />

which depends upon management policy <strong>and</strong> actions. The steady-state staff-experience<br />

distribution is obtained from the agent-retention distribution by applying renewal theory. An<br />

increasing real-valued function specifies the average performance as a function <strong>of</strong> agent experience.<br />

Convenient closed-form expressions for the overall performance as a function <strong>of</strong> model<br />

elements are derived when either the agent-retention distribution or the performance function<br />

has exponential structure. Management actions may cause the agent-retention distribution to<br />

change. The model describes the consequences <strong>of</strong> such changes upon the long-run average staff<br />

experience <strong>and</strong> the long-run average performance.<br />

Keywords: Contact centers, Call centers, Retention, Employee turnover, Churn, Agent job satisfaction,<br />

Compensation, Autonomy, Stress, Stochastic models, Renewal theory, Stochastic comparisons<br />

66

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!