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A decision support system for long-term capacity management of call centres

    • Cleveland State University

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We develop a decision support system (DSS) for the computationally complex problem of long-term personnel planning in call centres which employs a novel approach to analyse the consequences of decisions about the number of call-centre agents and their allocation to different tasks, in the light of multiple performance objectives (labour budget, service level, and non-primary productive time). Using actual call-centre data, our validation study shows that the DSS performs well when compared to the historical managerial decisions, and is robust to increased demand variability. This research fills a gap in the literature on call-centre staffing, which has focused on short-term personnel scheduling. The DSS is an interactive decision-making tool that provides quantitative insights to call-centre managers, recommending actions to minimise deviation from plan among multiple performance objectives, as well as enabling managers to evaluate the potential effect of their decisions on those objectives in the current and successive years.
    Original languageAmerican English
    JournalInternational Journal of Decision Support Systems
    Volume4
    StatePublished - 2021

    Keywords

    • call centre operations; workforce scheduling; capacity analysis; decision support systems; DSS.

    Disciplines

    • Management Sciences and Quantitative Methods
    • Operations and Supply Chain Management

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