Supply chain finance (SCF) as a crucial approach plays a key role in improving commitment, trust, financial flows, and profitability in a supply chain (SC). Many industrial organisations finance their SC through two resources: internal financing (buyer) and external financing (bank). The main objective of this paper is to develop an advanced data envelopment analysis (DEA) model for measuring the sustainability of financing resources of Industry 4.0 technologies. To do so, for the first time a non-radial DEA model in the presence of both zero inputs and ratio data is proposed. In this paper, the sustainability factors, including economic, environmental, and social factors are incorporated into the proposed approach. The developed DEA model, for the first time, is applied in SCF. The results show the most sustainable financial resource for investing in Industry 4.0 technologies. Also, the inputs and outputs’ inefficiencies are determined.

供应链金融 (SCF) 作为一种关键方法，在改善供应链 (SC) 的承诺、信任、资金流和盈利能力方面发挥着关键作用。许多工业组织通过两种资源为其供应链融资：内部融资（买方）和外部融资（银行）。本文的主要目标是开发一种先进的数据包络分析 (DEA) 模型，用于衡量工业 4.0 技术融资资源的可持续性。为此，首次提出了同时存在零输入和比率数据的非径向 DEA 模型。在本文中，可持续性因素，包括经济、环境和社会因素都被纳入了所提出的方法。开发的 DEA 模型首次应用于 SCF。结果显示了投资于工业 4.0 技术的最可持续的财务资源。此外，还确定了输入和输出的低效率。