Maximization of Labor Productivity through Optimal Rest-Break Schedules

Article Abstract:

This paper focuses upon the maximization of labor productivity through selection of the optimal number, duration, and placement of rest breaks. It is demonstrated that resolution of the limited validity associated with previous models leads to a mixed-integer quadratic programming formulation of this problem. Efficient analytic procedures are developed which allow solutions to be obtained in minutes using a hand-held calculator. Then, the characteristics, properties, and potential effectiveness of optimal solutions are examined through an illustration from an existing work environment. Issues relevant to the implementation of the models are presented in a summary of an initial experiment in which one of the models in this paper was used to select rest break policy. The results of this experiment indicated that the output achieved using the model's policy was 13 percent higher than the output achieved when the subjects used their own rest break policies. Several future research topics are also identified. (Reprinted by Permission of Publisher).

Management science, Work environment, Mathematical models, Work measurement, Job Performance, Optimization, Employee Relations, Study

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Maximization of labor productivity through optimal rest-break schedules

Article Abstract:

Scheduling workers' rest breaks so that labor productivity can be maximized is analyzed mathematically in terms of optimal numbers (of employees and breaks), duration of breaks, and placement of breaks. Effective analytical techniques can be used to facilitate solutions, generated in minutes with the use of a hand-operated calculator. Also, properties and characteristics are evaluated for the optimal mathematical solution. Using the model developed labor output can be increased by 13 percent.

Research, Human resource planning

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The optimal acquisition of automation to enhance the productivity of labor

Article Abstract:

Automation incentives include: improved productivity, labor cost reductions, and offsetting a limited manpower supply. Given these incentives, the optimal mix of automation and staffing levels is modeled after examination of long-range productivity goals, wage factors and costs associated with implementing automated processes. The optimization problems are solved using dynamic programming methods.

Case studies, Automation, Dynamic programming

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