Flexible Employee Scheduling with Multi Skill Training Program using Genetic Algorithm

This paper is the study of flexible employee scheduling with the multi skill training program of the employees in the manufacturing process. The paper starts with mathematical modeling by giving flexibility in choosing the shift types and days off assig nment to the employees. An extra care is taken for not assigning night shift on the day before the day off. A robust Genetic algorithm is used to solve the mathematical model constructe d. A 6hour shift for morning as well as afternoon and 12hour shift for night is assigned to the employees, which reduces the total cost function of the employees by 10.33% compared to normal 8hour shifts. And also a multi skill training program to the employees are adapted, which again reduces the total cost function of the employees by 20% compared to untrained employees.