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Personnel scheduling during Covid-19 pandemic


Data: 25 Novembre 2020, ore 11:00

Scadenza iscrizioni: 25 Novembre 2020, ore 10:00

Seminario online organizzato nell’ambito delle attività formative del Corso di Dottorato in Lavoro, Sviluppo e Innovazione UNIMORE – FMB

GIORGIO ZUCCHI, Ph.D Student, Fondazione Marco Biagi, Unimore

CARLO ALBERTO MAGNI, Professore associato presso il Dipartimento di Economia “Marco Biagi” Unimore

CHIARA TASSELLI, Ph.D Student, Fondazione Marco Biagi, Unimore

Il seminario si terrà in lingua italiana.
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This presentation addresses a real-life personnel scheduling problem in the context of Covid-19 pandemic, arising in a large Italian pharmaceutical distribution warehouse. In this case study, the challenge is to determine a schedule that attempts to meet the contractual working time of the employees, considering the fact that they must be divided into mutually exclusive groups to reduce the risk of contagion. To solve the problem, we propose a mixed integer linear programming formulation (MILP). The solution obtained indicates that optimal schedule attained by our model is better than the one generated by the company. In addition, we performed tests on random instances of larger size to evaluate the scalability of the formulation. In most cases, the results found using an open-source MILP solver suggest that high quality solutions can be achieved within an acceptable CPU time. We also project that our findings can be of general interest for other personnel scheduling problems, especially during emergency scenarios such as those related to Covid-19 pandemic.

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