Machine Vision enhanced by Artificial Intelligence can improve product and process monitoring through inspection. However, applying these solutions to the industrial environment requires a transdisciplinary effort and requisites interoperability. This study proposes a road map to reduce implementation uncertainties. A systematic review of the literature was conducted, considering Machine Vision applications with Artificial Intelligence techniques for Industrial Inspection. Natural Language Processing was used to select the potential documents, by narrowing down those that were not aligned with the desired topic. The remaining documents were analyzed and compared with the proposed road map. This allowed the validation of the proposed concepts confirming their applicability. The results show that the road map is valid for current industrial inspections using Artificial Intelligence and Machine vision providing the support for the development of smarter machines into Industry 4.0 functionalities. Graphical abstract

For sustainable product development, activities related to the selection of raw materials, product design, manufacturing, packaging, and distribution must be considered in a way that respects environmental limits and implements alternatives to reduce the consumption of natural resources. Due to this context, companies have sought to create environmentally sustainable alternatives for products and processes, once exposed to government, market, and regulatory pressures. Given this scenario, the question of this study is presented: Is it possible to define a conceptual model from existing models in the literature that guides companies in their Integrated Product Development Process (IPDP) and is oriented by Green Supply Chain Management (GSCM)? To answer the research problem question, a preliminary model integrating the IPDP and GSCM themes was presented. The elaboration of the preliminary model was only possible from the systematic literature review and content analysis previously carried out and presented in the general data in this article. The general aim of the study is to present a preliminary model in which IPDP is oriented to GSCM. As specific objectives, this study intends to present models previously published that have some relation to the IPDP related to green design, green purchase, green manufacturing, green distribution, and reverse logistics, which are related to GSCM; in addition, it presents guidelines to integrate the stages of product development and GSCM to reduce the environmental impact. The contribution of the preliminary model for companies is to present criteria that reduce the environmental impact of products in different GSCM activities within the IPDP. The contribution of this study is to present an analysis of the existing models, which will be the basis for the development of a conceptual model.