A Study on algorithm for robust Optimization problems with Applications in shop scheduling and Service operations

Abstract

Solving the Robust Optimization Problems in shop scheduling is a challenging task in the manufacturing process. There are several robust optimization problems, the researcher considered only few. The first problem of the study was multi objective employee scheduling which includes the aspects of both managements and employees. The management aspect is to reduce the total cost of the employee by minimizing the makes span. The employee aspects newlineare preferred number of shifts, shift types, days off etc. In this scheduling an extra care is taken for not assigning Night Shift on the day before day off, because once night shift is assigned the employee almost present for the next morning. A mathematical model is formed newlinebased on flexible working of the employees. In this model 6 hour shifts are allotted to the employees, which reduces the total cost by 10.344% and the makes span by 4.545% compared to the other models. newline