Modelo conceitual para desenvolvimento colaborativo distribuído de produtos únicos aplicado a PMEs

Abstract

Developing One-of-a-Kind Production (OKP) by small and medium-sized mechanical manufacturing companies in the engineering-to-order mode is common in manufacturing equipment for industrial applications and custom applications. The need to rethink design, manufacturing technologies and resources with each project draws researchers' attention to disruptive technology development, such as the advent of cloud computing, which enables ubiquitous collaboration and task distribution. This work aimed to develop a conceptual model for a distributed collaborative development platform for a single product aimed at small and medium-sized enterprises. A systematic literature review was conducted, gathering 16 papers that sought to answer questions related to the existence and applicability of single product collaborative development frameworks and platforms for small and medium enterprises. A conceptual model to assist in the collaborative development of low-volume distributed custom products among small and medium-sized enterprises was developed. This model was developed based on approaches and methodologies in the selected papers and related literature. The aim was to propose a new model capable of addressing the gaps identified in the literature. Creating partnerships in virtual companies with projects with open collaboration on service platforms for on-demand manufacturing of a single product is one of the applications of cloud computing technology. A decision model, based on the Fuzzy TOPSIS method, for selecting small and medium-sized companies and forming a virtual company based on design-to-order was developed and applied. An evaluation of the conceptual model, conducted through a 2-tuple linguistic evaluation, was applied to experts to verify critical points of the established proposal of the conceptual model. Technologies, such as task virtualization and encapsulation, and virtualization of manufacturing resources for distributed manufacturing, appear as trends for digital manufacturing. The specialists' evaluation highlighted the difficulty in extracting requirements for the virtualization of manufacturing tasks and the amount of approval feedback.