Special Issue: Rethinking operations and supply chain management in light of the 3D printing revolution

Abstract

Predictions that 3D Printing will lead to an Additive Manufacturing revolution have been made for at least three decades. Although adoption of these technologies continues to increase, there is a disparity between companies and industries achieving success and those becoming disillusioned when the technologies fail to achieve unrealistic expectations. The articles in this Special Issue provide empirical evidence and contribute to theory, to help rethink assumptions about Operations and Supply Chain Management and take account of the opportunities that Additive Manufacturing offers. This introduction to the Special Issue proposes a model to explain the contribution of Additive Manufacturing to business and society, which may range from none at all to a systemic societal impact. The model identifies factors on three levels, i.e., operational, strategic and contextual, which should be aligned with an organisation’s adoption of Additive Manufacturing, in order to reap the benefits of these technologies. We show how the studies reported in the Special Issue align with the proposed adoption model

Publication DOI: https://doi.org/10.1016/j.ijpe.2022.108677
Divisions: College of Business and Social Sciences > Aston Business School > Operations & Information Management
College of Business and Social Sciences > Aston Business School > Advanced Services Group
College of Business and Social Sciences > Aston Business School
Aston University (General)
Additional Information: © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Uncontrolled Keywords: 3D printing,Additive manufacturing,Business model,Digital transformation,Manufacturing technology,Smart manufacturing,Strategy,General Business,Management and Accounting,Economics and Econometrics,Management Science and Operations Research,Industrial and Manufacturing Engineering
Publication ISSN: 0925-5273
Last Modified: 16 Dec 2024 08:43
Date Deposited: 12 Oct 2022 15:29
Full Text Link:
Related URLs: https://www.sci ... 96?via%3Dihub#! (Publisher URL)
PURE Output Type: Article
Published Date: 2023-01
Published Online Date: 2022-10-10
Accepted Date: 2022-10-06
Authors: Beltagui, Ahmad (ORCID Profile 0000-0003-2687-0971)
Gold, Stefan
Kunz, Nathan
Reiner, Gerald

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