A stochastic integer programming approach to reserve staff scheduling with preferences

Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant of the personnel scheduling problem under unknown demand by considering employee satisfaction via endogenous uncertainty depending on the com...

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Vydáno v:International transactions in operational research Ročník 32; číslo 1; s. 289 - 313
Hlavní autoři: Perreault‐Lafleur, Carl, Carvalho, Margarida, Desaulniers, Guy
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Blackwell Publishing Ltd 01.01.2025
Témata:
Decisions
employee preferences
endogenous uncertainty
Integer programming
Job satisfaction
Operational problems
personnel scheduling
Schedules
stochastic programming
Task scheduling
transit industry
Uncertainty
ISSN:0969-6016, 1475-3995
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Shrnutí:Nowadays, reaching a high level of employee satisfaction in efficient schedules is an important and difficult task faced by companies. We tackle a new variant of the personnel scheduling problem under unknown demand by considering employee satisfaction via endogenous uncertainty depending on the combination of their preferred and received schedules. We address this problem in the context of reserve staff scheduling, an unstudied operational problem from the transit industry. To handle the challenges brought by the two uncertainty sources, regular employee and reserve employee absences, we formulate this problem as a two‐stage stochastic integer program with mixed‐integer recourse. The first‐stage decisions consist in finding the days off of the reserve employees. After the unknown regular employee absences are revealed, the second‐stage decisions are to schedule the reserve staff duties. We incorporate reserve employees' days‐off preferences into the model to examine how employee satisfaction may affect their own absence rates.
Bibliografie:ObjectType-Article-1
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ISSN:0969-6016
1475-3995
DOI:10.1111/itor.13298