Research Article

Business model and methods of evaluation in sustainable manufacturing

Faculty of Technology, University of Sunderland, Sunderland SR6 0DD, UK

^* e-mail: haishang.wu@research.sunderland.ac.uk

Received: 25 August 2021
Accepted: 13 October 2021

Abstract

Additive manufacturing (AM) enables cost-effective and efficient production toward sustainability. However, a rigorous evaluation method is required to further investigate the measurement method and efficiency before AM can be well-positioned in sustainable manufacturing and become the industry mainstream. Cost savings play a key role in the manufacturing industry. Compared to conventional manufacturing (CM), the cost of AM is volume-independent. In contrast, CM production requires a certain volume to share the initial tooling costs to achieve cost reduction. This constraint limits CM from service on demand and leaves ambiguity in the threshold setting of that critical batch volume. In addition, the invisibility of AM advantages in cost factors blocks AM technologies from appropriate processes and affects its applications. To address these issues, this paper proposes a business model. The major issues encountered by AM are the scaling, speed, and size of products. The enhancement of cost modeling and addressing speed, scale, and size issues are the novelties of this study and provide a breakthrough in AM issues. Generic equations are derived using the convergence effect and cost–volume intersection calculation between AM and CM. Furthermore, the divide-and-conquer approach is proposed to support scaling factors and dependencies for both AM and CM. Consequently, appropriate AM technologies can be compared with the CM convergence threshold to contribute to decision-making. Next, the advantages and weaknesses of AM are identified, and a collaboration pattern is proposed to connect large enterprises, small-and medium-sized enterprises, and home-based manufacturers into an AM society. Through this society, the advantages of AM can be fully exploited, scaling and speed issues can be addressed, and AM's dominant role in sustainable manufacturing can be made feasible.