Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry.

ABSTRACT: This data article describes datasets from a home improvement retail store located in Santiago, Chile. The datasets have been developed to simultaneously solve a staffing and tour scheduling problem that incorporates flexible contracts and multiskilled staff. This Data in Brief article is related to the published article "Hybrid flexibility strategy on personnel scheduling: Retail case study" [1]. The datasets contain real, processed, and simulated data. Regarding the real and processed datasets, they are presented for three different store sizes (4, 5 or 6 departments). Real datasets include information about the employment-contract characteristics, cost parameters, and a forecast of the number of employees required in each department for each day of the week and each time period in

SUBMITTER: Porto AF 

PROVIDER: S-EPMC7394855 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature