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 |
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Oxford
Blackwell Publishing Ltd
01.01.2025
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| ISSN: | 0969-6016, 1475-3995 |
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| Abstract | 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. |
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| AbstractList | 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. 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. |
| Author | Perreault‐Lafleur, Carl Carvalho, Margarida Desaulniers, Guy |
| Author_xml | – sequence: 1 givenname: Carl orcidid: 0000-0003-0360-6414 surname: Perreault‐Lafleur fullname: Perreault‐Lafleur, Carl email: carl.perreault-lafleur@umontreal.ca organization: Université de Montréal – sequence: 2 givenname: Margarida orcidid: 0000-0002-2344-0960 surname: Carvalho fullname: Carvalho, Margarida email: carvalho@iro.umontreal.ca organization: Université de Montréal – sequence: 3 givenname: Guy surname: Desaulniers fullname: Desaulniers, Guy email: guy.desaulniers@gerad.ca organization: Polytechnique Montréal |
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| SubjectTerms | Decisions employee preferences endogenous uncertainty Integer programming Job satisfaction Operational problems personnel scheduling Schedules stochastic programming Task scheduling transit industry Uncertainty |
| Title | A stochastic integer programming approach to reserve staff scheduling with preferences |
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