Current trends show that companies are increasingly adopting decentralized-manufacturing strategies. Additive manufacturing is one of the technologies that allow for enhanced production flexibility and customization, without significantly increasing per-unit cost. In this context, a company often has to manage multiple geographically scattered manufacturing centers, characterized by similar equipment and working methods, performing similar productions, although with variable mix and volumes. Hence, there is the need to (i) monitor the absolute performance of individual centers in a structured way and (ii) make practical comparisons between “competing” centers. This article analyzes the suitability of each manufacturing center from two viewpoints: (i) the quality of the products, intended as compliance with the geometric specifications, and (ii) the sustainability of the production, in terms of energy consumption and manufacturing time. While quality is assessed through a multivariate statistical analysis of data concerning several geometric features, sustainability is assessed through linear regression models concerning energy and time consumption data. The proposed methodology can be adopted during regular production, without requiring the execution of ad hoc experimental tests. The description is supported by a real-world case study.

Quality and sustainability benchmarking of decentralized additive manufacturing processes / Maisano, Domenico A.; Verna, Elisa; Minetola, Paolo; Lunetto, Vincenzo; Priarone, PAOLO CLAUDIO. - ELETTRONICO. - (2022). (Intervento presentato al convegno AITeM 2021 - XV Convegno dell’Associazione Italiana Tecnologie Manifatturiere tenutosi a Milano (Italy) nel 17-19 January 2022).

Quality and sustainability benchmarking of decentralized additive manufacturing processes

Domenico A. Maisano;Elisa Verna;Paolo Minetola;Vincenzo Lunetto;Paolo Claudio Priarone
2022

Abstract

Current trends show that companies are increasingly adopting decentralized-manufacturing strategies. Additive manufacturing is one of the technologies that allow for enhanced production flexibility and customization, without significantly increasing per-unit cost. In this context, a company often has to manage multiple geographically scattered manufacturing centers, characterized by similar equipment and working methods, performing similar productions, although with variable mix and volumes. Hence, there is the need to (i) monitor the absolute performance of individual centers in a structured way and (ii) make practical comparisons between “competing” centers. This article analyzes the suitability of each manufacturing center from two viewpoints: (i) the quality of the products, intended as compliance with the geometric specifications, and (ii) the sustainability of the production, in terms of energy consumption and manufacturing time. While quality is assessed through a multivariate statistical analysis of data concerning several geometric features, sustainability is assessed through linear regression models concerning energy and time consumption data. The proposed methodology can be adopted during regular production, without requiring the execution of ad hoc experimental tests. The description is supported by a real-world case study.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2952292