Método jadis: jornada de integração da sustentabilidade na gestão do ciclo de vida de produtos digitais

Abstract

The intensification of digitalization across multiple productive sectors has consolidated digital products as central elements of the systems analyzed by Production Engineering, expanding their influence on organizational processes, value chains, and social interactions. Despite this progress, significant gaps remain in the literature, including the absence of operational guidelines that integrate sustainability into digital development, the difficulty of measuring environmental impacts arising from energy consumption and computational infrastructure, and social challenges related to digital inclusion, accessibility, privacy, and user well-being. In this context, this research aimed to develop the JADIS Method (Journey-based Approach for Digital Sustainability), designed to integrate sustainability into the stages of Digital Product Lifecycle Management, Product Lifecycle Management, PLM. The method was structured as a modular and flexible model capable of guiding the incorporation of environmental, social, and economic requirements throughout the phases of digital product development. The development of JADIS involved a systematic literature review, the mapping of the development process from a PLM perspective, and the identification of sustainability requirements, followed by evaluation by experts in the fields of digital development and sustainability. The application of the method in an exploratory case study, through the development of the PoolCare application, aimed at domestic monitoring of swimming pool water quality, enabled the assessment of its practical applicability in a real-world context characterized by a small team and limited resources, demonstrating procedural clarity, operational efficiency, and adherence to the principles of digital sustainability. The qualitative results indicated benefits such as workflow simplification, reduction of rework, elimination of server dependency, adoption of energy-efficient technologies, accessible user interfaces, and the strengthening of education and digital inclusion. Although formal quantitative metrics were not collected at this exploratory stage, semi-quantitative estimates of time, resources, and costs reinforce the potential of the method to support decision-making in productive contexts.