Workforce scheduling: A new model incorporating human factors
Abstract: The majority of a
company’s improvement comes when the right workers with the right skills,
behaviors and capacities are deployed appropriately throughout a company. This
paper considers a workforce scheduling model including human aspects such as
skills, training, workers’ personalities, workers’ breaks and workers’ fatigue
and recovery levels. This model helps to minimize the hiring, firing, training
and overtime costs, minimize the number of fired workers with high performance,
minimize the break time and minimize the average worker’s fatigue level.
Design/methodology/approach: To achieve this objective, a multi objective
mixed integer programming model is developed to determine the amount of hiring,
firing, training and overtime for each worker type.
Findings: The results indicate that the worker differences should be
considered in workforce scheduling to generate realistic plans with minimum
costs. This paper also investigates the effects of human fatigue and recovery
on the performance of the production systems.
Research limitations/implications: In this research, there are some
assumptions that might affect the accuracy of the model such as the assumption
of certainty of the demand in each period, and the linearity function of
Fatigue accumulation and recovery curves. These assumptions can be relaxed in
future work.
Originality/value: In this research, a new model for integrating workers’
differences with workforce scheduling is proposed. To the authors' knowledge,
it is the first time to study the effects of different important human factors
such as human personality, skills and fatigue and recovery in the workforce
scheduling process. This research shows that considering both technical and
human factors together can reduce the costs in manufacturing systems and ensure
the safety of the workers.
Author: Mohammed Othman,
Gerard J. Gouw, Nadia Bhuiyan
Journal Code: jptindustrigg120021
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