Cloud-based sustainable management of electrical and electronic equipment from production to end-of-life

Abstract

Purpose The purpose of this paper is to describe a system and a database structure for the tracing of the waste of electric and electronic equipment (WEEE) using radio-frequency identification tags. Design/methodology/approach The problems related to the management of WEEE and the international directives have been presented and analyzed. The authors propose a traceability system to extend the tracing in the reverse logistics. Findings The proposed systems allow a more efficient management of the reuse, repair and recycle phase of the products and components, thus reducing the disposal of the electric and electronic equipment. There are many possible positive impacts of the system. The authors investigate, in particular, the impact of the single component tracing on the disposal cost reduction and on the reliability improvement using reused components. Research limitations/implications The system has been tested in the production chain of a company that produces electronic equipment for elevators. Up to now, the results and impact are limited to the company. Practical implications The system has been applied in the management of reused components of a specific company. The immediate result was that the system allowed the redesign of the electronic product with a cost reduction and reliability improvement. Social implications The authors think that the proposed solution allows a step forward in the reduction of WEEE. Originality/value The database structure and the web application, used to track the entire working life of an electronic appliance, are original. Original is also the idea of tracing all the single components of the electronic products.

A comparative study of national variations of the European WEEE directive: manufacturer’s view

“…Digital twins and other Industry 4.0 components seem to have the potential to improve WEEE. Conti and Orcioni (2019) propose using cloud systems and RFID to trace WEEE. They also suggest a database structure for this tracking.…”

Integration of continuous improvement strategies with Industry 4.0: a systematic review and agenda for further research

“…By implementing techniques of Industry 4.0, flexibility of the system can be enhanced. Cloud system and big data concept can be used for monitoring as well as predicting the machine condition (Conti and Orcioni, 2019). Augmented reality (AR) can be used for enhancing the maintenance activity (Masoni et al , 2017).…”

Industry 4.0 and the Circular Economy: Are These Integrated or Disjointed Concepts? A Research Agenda

“…In addition, due to the complexity, diversity and dynamics of waste sources, big data is a promising research approach, mainly, in the formation of information banks of materials for the practice of IS (SONG et al, 2017). Conti and Orcioni (2019) there are many possibilities to study the positive impacts of big data, such as the use of data in product traceability for the execution of reverse logistics.…”