Assigning due dates to jobs in a manufacturing company

Abstract

The Due date assignment has been studied for many decades and has attracted a lot of interest recently. The gap in the literature shows that there is a necessity on studying the variables that are associated with due dates, and specifically using linear regression models. This thesis focuses on addressing this gap by presenting a linear regression model to predict one of the most important variables related to the due date assignment, the flow time of productions. To perform this estimation, data from the Rockwell Arena Software, provided by Professor Aydin Teymourifar, was used to evaluate the accuracy of the model and to understand if the model developed can be a useful tool to be applied in manufacturing companies. The analysis made in the results section, show that the independent variables of the model contributed significantly to explain the flow time of productions, and that the model has a satisfactory accuracy.

Date of Award	14 Jul 2023
Original language	English
Awarding Institution	Universidade Católica Portuguesa
Supervisor	Aydin Teymourifar (Supervisor)