Worker Scheduling of Banbury Process using Mathematical Programming: A Tire Manufacturing Company Case Study

Abstract

Nowadays, several manufacturers, both public and commercial, as well as other organizations, face the problem of assigning tasks to workers based on individual skills. As a result, the assignment problem was developed in order to determine a suitable way for the organization to benefit from the appropriate assignments to the worker in the organization. In this paper, the goal of this study is to give a mathematical model of the assignment problem which could be used to obtain the appropriate work position base on individual skill. In this scenario, the need is to find the minimum skill level score which is the best skill for each position of the worker in the Banbury Mixing Process by using linear solvers as a problem solver working in Python. Case studies are used to demonstrate the high quality of the model solutions that create the right results. The results demonstrated that the assignment problem was optimized by selecting skills that were appropriate for the worker’s task.