Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Sustainable and Optimized Production in an Aluminum Extrusion Process

Version 1 : Received: 24 January 2024 / Approved: 25 January 2024 / Online: 25 January 2024 (08:01:31 CET)

How to cite: Ferrá, F.; Correia, A.; De Almeida, F.; Costa e Silva, E. Sustainable and Optimized Production in an Aluminum Extrusion Process. Preprints 2024, 2024011809. https://doi.org/10.20944/preprints202401.1809.v1 Ferrá, F.; Correia, A.; De Almeida, F.; Costa e Silva, E. Sustainable and Optimized Production in an Aluminum Extrusion Process. Preprints 2024, 2024011809. https://doi.org/10.20944/preprints202401.1809.v1

Abstract

In the discussion on environmental policies, the notion of eco-efficiency is often used. Eco-efficiency is defined as the delivery of products and services with competitive values, while reducing the ecological impacts and satisfying human needs. In an environment of great competitiveness in which the companies operate, the improvements in the productive process is one of the differentiating factors for guaranteeing a strong competition. Also it is essential rationalizing energy consumption and natural resources. For this it is necessary to understand the main operations and dynamics of the company. This work presents an empirical study of a Portuguese company in the industrial sector. The problematic here presented is based on the company’s growing concern to reduce the amount of scrap produced. From the literature research that was performed, a strong dependence relation between the different variables in the extrusion process was found. The main objective of this work is to model the aluminium extrusion process, with the aim of minimizing the production of scrap. For this several variables involved in the process are taking into account. Using statistical techniques, in particular multiple linear regressions, it was possible to identify the importance of the variables under study for the scrap production.

Keywords

Aluminium; Extrusion; Scrap; Sustainability; Multiple Linear Regression

Subject

Engineering, Industrial and Manufacturing Engineering

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