An Effective Staff Scheduling for Shift Workers in Social Welfare Facilities for the Disabled

Author:

Ryu Hee JunORCID,Jo Ye Na,Lee Won Jun,Cheong Ji Won,Moon Boo Yong,Ko Young DaeORCID

Abstract

The efficient management of social worker personnel is important since it involves a huge portion in its operations. However, the burnout and turnover rates of social workers are very high, which is due to dissatisfaction with the irregular and unequal schedules, despite the continuous improvement in the treatment of social workers and the enactment of work-related legislation in Korea. This means that changes in policy do not significantly contribute to improving worker satisfaction, which shows the necessity of the strategies to prevent the turnover of workers. Therefore, this study aims to propose a strategy for the staff scheduling of workers that considers the fairness in the shift distribution among workers and the individual preference for shift work by using the linear programming. A survey about the preferences for shift work is conducted that targeted the employees of a welfare facility in Korea to enhance the practicality of the model. The effectiveness and applicability of the developed mathematical model are verified by deriving a deterministic schedule for a worker via the system parameters that were obtained based on the survey and the rules of the welfare facility in the numerical experiment. Compared to the conventional schedule, the derived schedule shows an improvement in the deviations in the number of shifts workers and a reflection of the personal preferences. This can raise the social worker’s satisfaction, which will decrease intention on burnouts and turnover. It will consequently facilitate on managing human resources in welfare facilities.

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

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5. (2022, November 28). Korea Association of Social Workers. Available online: https://www.welfare.net/welfare/na/ntt/selectNttInfo.do?mi=1265&nttSn=176120.

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