Inicio  /  Algorithms  /  Vol: 16 Par: 1 (2023)  /  Artículo
ARTÍCULO
TITULO

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

Hee Jun Ryu    
Ye Na Jo    
Won Jun Lee    
Ji Won Cheong    
Boo Yong Moon and Young Dae Ko    

Resumen

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.

 Artículos similares

       
 
João Nobre, E. J. Solteiro Pires and Arsénio Reis    
Currently, distributed software systems have evolved at an unprecedented pace. Modern software-quality requirements are high and require significant staff support and effort. This study investigates the use of a supervised machine learning model, a Multi... ver más
Revista: Applied Sciences

 
Mohammad Nikmanesh, Ardalan Feili and Shahryar Sorooshian    
The success of an organization hinges upon the effective utilization of its human resources, which serves as a crucial developmental factor and competitive advantage, and sets the organization apart from others. Evaluating staff productivity involves con... ver más
Revista: Information

 
Dorota Kaminska, Grzegorz Zwolinski, Hena Maloku, Mimoza Ibrani, Jo?e Guna, Matev? Pogacnik, Rain Eric Haamer, Gholamreza Anbarjafari, Lejla Abazi-Bexheti, Kristel Bozhiqi and Albana Halili    
Higher educational institutions in Western Balkan countries strive for continuous development of their teaching and learning processes. One of the priorities is employing state-of-the-art technology to facilitate experience-based learning, and virtual an... ver más
Revista: Information

 
Gowthaman Sivakumar, Eman Almehdawe and Golam Kabir    
The COVID-19 pandemic has significantly impacted almost every sector. This impact has been especially felt in the healthcare sector, as the pandemic has affected its stability, which has highlighted the need for improvements in service. As such, we propo... ver más

 
Prosper Kandabongee Yeng, Muhammad Ali Fauzi, Bian Yang and Peter Nimbe    
A phishing attack is one of the less complicated ways to circumvent sophisticated technical security measures. It is often used to exploit psychological (as as well as other) factors of human users to succeed in social engineering attacks including ranso... ver más
Revista: Information