Using data to strategically deploy staffing resources

<p><strong>Purpose:</strong> Our environmentally controlled library warehouse stores 10 million collection items and its team of staff provides a delivery service to our students and researchers. Statistics were showing that the demand for the service was much higher than forecast...

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主要作者: Williams, M
格式: Journal article
出版: Emerald 2018
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author Williams, M
author_facet Williams, M
author_sort Williams, M
collection OXFORD
description <p><strong>Purpose:</strong> Our environmentally controlled library warehouse stores 10 million collection items and its team of staff provides a delivery service to our students and researchers. Statistics were showing that the demand for the service was much higher than forecast at the design stage and, as a result, the operationally intensive environment had bottlenecks and backlogs which were affecting the service level agreements. It was clear that the staffing levels were inadequate to meet demand so we needed to capture data to enable evidence-based decision making to restructure and supplement staffing.</p> <p><strong>Design, methodology or approach: </strong>Each of the activities undertaken by staff was observed and timed over extended periods which resulted in detailed measurements for each elemental task. Based on known demand for services we were able to extrapolate these measurements to model the demand on services and, therefore, the staffing requirement for a whole year.</p> <p><strong>Findings: </strong>We were able to provide evidence to show that the levels of staffing were inadequate and two further full-time equivalent (FTE) staff were required. The data also highlighted specific areas that required higher and lower levels of resourcing than were currently provided. </p>
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spelling oxford-uuid:a4c91bdc-0838-4e50-b9fa-e3334e15afc22022-03-27T02:36:06ZUsing data to strategically deploy staffing resourcesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a4c91bdc-0838-4e50-b9fa-e3334e15afc2Symplectic Elements at OxfordEmerald2018Williams, M<p><strong>Purpose:</strong> Our environmentally controlled library warehouse stores 10 million collection items and its team of staff provides a delivery service to our students and researchers. Statistics were showing that the demand for the service was much higher than forecast at the design stage and, as a result, the operationally intensive environment had bottlenecks and backlogs which were affecting the service level agreements. It was clear that the staffing levels were inadequate to meet demand so we needed to capture data to enable evidence-based decision making to restructure and supplement staffing.</p> <p><strong>Design, methodology or approach: </strong>Each of the activities undertaken by staff was observed and timed over extended periods which resulted in detailed measurements for each elemental task. Based on known demand for services we were able to extrapolate these measurements to model the demand on services and, therefore, the staffing requirement for a whole year.</p> <p><strong>Findings: </strong>We were able to provide evidence to show that the levels of staffing were inadequate and two further full-time equivalent (FTE) staff were required. The data also highlighted specific areas that required higher and lower levels of resourcing than were currently provided. </p>
spellingShingle Williams, M
Using data to strategically deploy staffing resources
title Using data to strategically deploy staffing resources
title_full Using data to strategically deploy staffing resources
title_fullStr Using data to strategically deploy staffing resources
title_full_unstemmed Using data to strategically deploy staffing resources
title_short Using data to strategically deploy staffing resources
title_sort using data to strategically deploy staffing resources
work_keys_str_mv AT williamsm usingdatatostrategicallydeploystaffingresources