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

Ahmet CÜREBAL, Serkan KOÇTEPE, Tamer EREN
2021 GAZI UNIVERSITY JOURNAL OF SCIENCE  
Highlights • This paper focuses on meeting periodically increasing demand by scheduling employed staff. • 0-1 integer programming is used to establish mathematical model. • The competence and qualification of the staff are taken into consideration.
doi:10.35378/gujs.871473 fatcat:z4olpggrx5drjgiev2s5lxgjre