Masters Theses

Date of Award

5-2020

Degree Type

Thesis

Degree Name

Master of Science

Major

Industrial Engineering

Major Professor

Rupy Sawhney

Committee Members

John Kobza, Lee Martin

Abstract

The biggest improvement possible with productivity and profit in a manufacturing environment is to decrease the production time or cycle time and increase the takt time without any significant or no loss to product quality. But this could come at a cost of unequal work distribution if it is a people-based manufacturing process. This paper provides the best possible schedule by using a heuristic model that gives an optimal schedule. Based on jobs precedence the schedule is made to have the least possible makespan for the process at any given station in an assembly line. Furthermore, the objective is to minimize the difference of the entire duration of work allotted to each employee by an optimization model that performs an unbiased employee assignment Integer programming problem. The computational results are proven by a case study provided later in the paper.

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