The impact of Additive Manufacturing on Supply Chain design: a simulation study

Abstract Additive Manufacturing is a production technology, which completely differs from the traditional subtractive approach. Because its different nature, its application could cause strong changes in supply chains and it could affect the relationship between the supply chain players. This paper proposes a quantitative evaluation of the Additive Manufacturing effects on the supply chain performance, considering different system configurations. A simulation model has been implemented in order to reproduce the behavior of the players and compare different scenarios. Both additive and traditional technologies have been modelled in order to compare their efficiency. Moreover, different supply chain configurations have been tested to assess the additive production feasibility combined with different supply chain structures. Results confirm that Additive Manufacturing provides good improvements in supply chain performances offering significant benefits in the decentralized solution.

[1]  Yuan Zhang,et al.  Modeling and analysis of the on-demand spare parts supply using additive manufacturing , 2019, Rapid Prototyping Journal.

[2]  Jan Holmström,et al.  Additive manufacturing in the spare parts supply chain , 2014, Comput. Ind..

[3]  Sujit Das,et al.  Environmental and Economic Implications of Distributed Additive Manufacturing: The Case of Injection Mold Tooling , 2017 .

[4]  Eleftherios Iakovou,et al.  A methodological framework for the inclusion of modern additive manufacturing into the production portfolio of a focused factory , 2015 .

[5]  Erik Hofmann,et al.  Impact of additive manufacturing technology adoption on supply chain management processes and components , 2016 .

[6]  M. Attaran.  Additive Manufacturing: The Most Promising Technology to Alter the Supply Chain and Logistics , 2017 .

[7]  Abhijeet Ghadge,et al.  Impact of Additive Manufacturing on Aircraft Supply Chain Performance: A System Dynamics Approach , 2018 .

[8]  Xun Xu,et al.  Selection of additive manufacturing processes , 2017 .

[9]  D. Tzetzis,et al.  Alternative production strategies based on the comparison of additive and traditional manufacturing technologies , 2017, Int. J. Prod. Res..

[10]  Gourav Dwivedi,et al.  Analysis of barriers to implement additive manufacturing technology in the Indian automotive sector , 2017 .

[11]  David Rejeski,et al.  Research needs and recommendations on environmental implications of additive manufacturing , 2018 .

[12]  Christina Öberg.  Additive manufacturing – digitally changing the global business landscape , 2019, European Journal of Management and Business Economics.

[13]  Alexandre Dolgui,et al.  The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics , 2018, Int. J. Prod. Res..

[14]  Patricia Nyamekye,et al.  Overview of Sustainability Studies of CNC Machining and LAM of Stainless Steel , 2015 .

[15]  Heng Zhou,et al.  The impact of additive manufacturing in the aircraft spare parts supply chain: supply chain operation reference (scor) model based analysis , 2014 .

[16]  Hans-Dietrich Haasis,et al.  A Study on the Effects of Additive Manufacturing on the Structure of Supply Networks , 2016 .

[17]  D. Vlachos,et al.  Supply chain reconfiguration opportunities arising from additive manufacturing technologies in the digital era , 2019, Production Planning & Control.

[18]  Marta Rinaldi,et al.  Technology selection in green supply chains - the effects of additive and traditional manufacturing , 2020 .

[19]  K. Pawar,et al.  3D printing services: classification, supply chain implications and research agenda , 2016 .

[20]  Andrea Bacchetti,et al.  Additive Manufacturing Impacts on Productions and Logistics Systems , 2016 .