Scheduling and Rostering of Temporary Staff to Deal with Periodically Increasing Demand in Retail Sector: An Application

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dc.authoridEren, Tamer/0000-0001-5282-3138
dc.authoridÖzder, Emir Hüseyin/0000-0002-1895-8060
dc.authoridCürebal, Ahmet/0000-0002-1031-659X
dc.contributor.authorCürebal, Ahmet
dc.contributor.authorKoçtepe, Serkan
dc.contributor.authorEren, Tamer
dc.contributor.authorÖzder, Emir Hüseyin
dc.date.accessioned2025-01-21T16:44:19Z
dc.date.available2025-01-21T16:44:19Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractTemporary employment is a need to meet periodically increasing demand. It is arranged for a limited number of days and its service quality output is observed instantly. These make the planning phase complicated. In the process, the priority of businesses is to meet the increasing demand and to regulate the workload according to the terms of the period. Solving the periodic increase in demand by providing permanent employment can cause businesses to face the costs arising from excess employment in the long term. Generally, businesses manage these periods by hiring new staff. The most critical problems of the process are the suitability of the temporarily employed staff to work and whether they are suitable for the competencies in the job description. It is expected to achieve an efficiency equivalent to the cost to be incurred for this need that occurs in certain time periods. Adaptation processes, the effects of today's pandemic virus, and ergonomics issues owing to some tasks are the other basic constraints of this planning process. In this study, the problem of scheduling and rostering of staff requested for the problem of staff shortage owing to periodically increased demand has been solved. 50 candidate staff were evaluated in 4 competency types. Thus, an optimized service quality and staff costs has been achieved for this periodic staff need. For problem solving, 0-1 integer programming model was established and the proposed model, is written in ILOG CPLEX Studio IDE and is solved with the CPLEX solvent.
dc.identifier.doi10.35378/gujs.871473
dc.identifier.endpage1020
dc.identifier.issn2147-1762
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85138480159
dc.identifier.scopusqualityQ2
dc.identifier.startpage1010
dc.identifier.urihttps://doi.org/10.35378/gujs.871473
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25425
dc.identifier.volume35
dc.identifier.wosWOS:000874529700016
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherGazi Univ
dc.relation.ispartofGazi University Journal of Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectStaff scheduling; Rostering; 0-1 Integer programming; Increasing demand; Staff competency
dc.titleScheduling and Rostering of Temporary Staff to Deal with Periodically Increasing Demand in Retail Sector: An Application
dc.typeArticle

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