Time‐Staged Overtime Staffing for Services with Updated Forecasts and Availabilities

Abstract

This article develops a framework for staffing in a service environment when multiple opportunities exist for prescheduling overtime prior to the start of a shift. Demand forecasts improve as the shift approaches, while the availability of workers to be scheduled for overtime decreases. First, a single‐shift model is developed and used in computational studies to evaluate the benefits of time‐staged overtime staffing, which include slightly lower costs and significant reductions in unscheduled overtime and outside agents. A multishift model is then developed to consider constraints on consecutive hours worked and minimum rest intervals between shifts. A multishift computational study shows how the benefits of time‐staged overtime staffing depend on problem characteristics when interactions between shifts are considered. The article discusses how single‐shift and multishift models relate to each other and alternative ways the models may be used in practice, including decentralized open shift management and centralized overtime scheduling.

Operational Risk in Airline Crew Scheduling: Do Features of Flight Delays Matter?*

“…A possibility for future research is to explore alternative models with further forecast updating to see how sensitive results are to changes in data as well as the model assumptions regarding flying time (Campbell, 2017). The investigation for ultrahigh-dimensional regression relationships between the flying time and other factors will be an interesting but challenging direction for future research (Sun et al, 2018).…”

Integrated employee scheduling with known employee demand, including breaks, overtime, and employee preferences

“…Similar to this study on job satisfaction related to overtime, by Yang, Tang and Zhao (2017) that aimed to investigate the employees' job satisfaction on overtime given uncertain demand and operations costs. Furthermore, this study will not consider multiple opportunities for prescheduling overtime prior to the start of the shift as done by Campbell (2017). Thus, with the aforementioned, the contribution of this research is to bring to the forefront the importance of employee satisfaction, particularly about their preferred RD, which has not been given much attention hitherto, in the same level as previously focused on objectives of minimizing under/over-coverage and overtime.…”

Multiperiod Stochastic Resource Planning in Professional Services Organizations

“…Campbell () introduces the idea of on‐call overtime shift scheduling model in a health care service setting where demand is uncertain and combines it with workforce scheduling models. Campbell () extends the previous work to a time‐staged overtime staffing for services with updates to demand and worker availability. The author presents both single‐shift and multishift models.…”