Workforce Planning - from sales to schedules

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dc.contributor.author Jagtenberg, Caroline en
dc.contributor.author Post, G en
dc.coverage.spatial Udine en
dc.date.accessioned 2018-10-09T22:45:41Z en
dc.date.issued 2016 en
dc.identifier.uri http://hdl.handle.net/2292/40085 en
dc.description.abstract We present a comprehensive workforce planning approach from both a functional and technical perspective. Our approach forecasts the demand for sta↵ in the future and schedules the employees accordingly. We give a high level overview of the complete planning process, which is decomposed in several steps. Two crucial optimization steps are discussed in more detail: first, we analyze the set of employees and the flexibility in their contract hours. Their individual weekly workload is optimized to match the varying demand. This step can be viewed as capacity planning, and is done using linear programming. The second step we discuss in detail is how we design and assign shifts to sta↵ according to elaborate shift structure rules. To this end we use variable neighborhood search. Our entire planning is done on a detailed level of 15-minute intervals. The method was commercially implemented and is currently used in practice. We finish with our ideas for extending this work. en
dc.relation.ispartof PATAT 2016 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Workforce Planning - from sales to schedules en
dc.type Conference Item en
dc.rights.holder Copyright: The author en
pubs.author-url http://www.patatconference.org/patat2016/files/proceedings/paper_43.pdf en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Proceedings en
pubs.elements-id 737231 en
pubs.org-id Engineering en
pubs.org-id Engineering Science en
pubs.record-created-at-source-date 2018-04-19 en


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