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An Internet of Things-enabled decision support system for circular economy business model
Software: Practice and Experience ( IF 2.6 ) Pub Date : 2020-04-05 , DOI: 10.1002/spe.2825
Julius Sechang Mboli 1, 2 , Dhavalkumar Thakker 1 , Jyoti L. Mishra 3
Affiliation  

The traditional linear economy using a take-make-dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business models and the criticism of CE projects often being small scale. Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this paper, we propose an IoT-enabled decision support system (DSS) for CE business model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The business model is implemented using an ontological model. This model is complemented by a semantic decision support system. The semantic ontological model, first of its kind, is evaluated for technical compliance. We applied DSS and the ontological model in a real-world use case and demonstrate viability and applicability of our approach.

中文翻译:

物联网支持的循环经济商业模式决策支持系统

使用采取即处置模式的传统线性经济是资源密集型的,并且具有不利的环境影响。通过设计可再生和恢复性的循环经济(CE)被推荐为资源效率的商业模式。虽然企业和组织需要从线性转换到 CE,但仍有一些挑战需要解决,例如商业模式和对 CE 项目通常规模较小的批评。技术可以成为扩大 CE 的推动力;然而,主要挑战是确定能够预测、跟踪和主动监控产品剩余价值的技术,以激励企业进行循环决策。在本文中,我们提出了一种支持物联网的决策支持系统 (DSS),用于 CE 业务模型,有效地允许跟踪,以残值为重点,实时监控和分析产品。业务模型是使用本体模型实现的。该模型由语义决策支持系统补充。语义本体模型是同类中的第一个,它被评估为技术合规性。我们将 DSS 和本体模型应用于现实世界的用例,并展示了我们方法的可行性和适用性。
更新日期:2020-04-05
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