Cyclic staff scheduling: optimization models for some real-life problems

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Marta Rocha (Author) Other; Jose Fernando Oliveira (Author) FEUP; Maria Antonia Carravilla (Author) FEUP

Journal

Title: Journal of Scheduling

Vol. 16 No. 2

Pages: 231-242

ISSN: 1094-6136

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 12 Citations

ISI Web of Science

Scopus - 20 Citations

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

CORDIS: Technological sciences > Engineering > Industrial engineering

Other information

Authenticus ID: P-005-2D3

DOI: 10.1007/s10951-012-0299-4

Abstract (EN): In this work, we propose a general integer programming model to address the staff scheduling problem, flexible enough to be easily adapted to a wide-range of real-world problems. The model is applied with slight changes to two case studies: a glass plant and a continuous care unit, and also to a collection of benchmark instances available in the literature. The emphasis of our approach is on a novel formulation of sequence constraints and also on workload balance, which is tackled through cyclic scheduling. Models are solved using the CPLEX solver. Computational results indicate that optimal solutions can be achieved within a reasonable amount of time.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12