Job scheduling of Nurse staffing: A dynamic programming approach

Koppula, Kavitha and Rodrigues, Lewlyn L R (2012) Job scheduling of Nurse staffing: A dynamic programming approach. International Journal of Research in Commerce, IT & Management, 2 (1). ISSN 2231-5756

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Abstract

Optimization of employee scheduling is of prime importance in healthcare sectors as they operate on shifts seven days a week round the clock. Several research investigations have been carried out to explore the possibilities of employee scheduling in compressed workweeks. Such research has translated into several positive outcomes in the healthcare organizations with a resultant increase in the productivity and reduction in the absenteeism of employees. Mathematical algorithms for varying compressed workweeks such as 5-day, 4-day have been proposed in the literature. However, there is dearth of literature in compressed workweek job scheduling which considers half-day work. Hence, the present study deals with the development of mathematical algorithm for solving workforce scheduling problem with 4.5-days workweek. The objective is to find a minimum staff size ensuring that each employee is entitled for 2.5 days as off-days. The results indicated the feasibility of using such workforce modeling with each employee being eligible for 2.5 off-days. The proposed algorithm is simple and will be useful in organizations working 7-days a week with multiple shifts such as general healthcare. The present model also ensures that no employee in the organizat ion works continuously more than 5 days in a week. Even though the algorithm presented has been developed for a healthcare sector, it can be used for any organization operating in shifts with a requirement of overlapping of shifts in sectors such as call centers, workshops, etc. The algorithm presented can be implemented manually, or if desired, it can be computerized easily.

Item Type: Article
Uncontrolled Keywords: Health Service, Manpower planning, Optimization, Scheduling, Shift work
Subjects: Engineering > MIT Manipal > Humanities and Management
Engineering > MIT Manipal > Mathematics
Depositing User: MIT Library
Date Deposited: 03 Apr 2013 11:08
Last Modified: 03 Apr 2013 11:08
URI: http://eprints.manipal.edu/id/eprint/79461

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