Conceptual Model for Scheduling and Control of Production and Logistics Operations Using Multi-Agent Robotic Systems and Blockchain

Abstract

The work proposes a conceptual model called MASBLOCK for scheduling and control of production and logistics operations, the study incorporates multi-agent robotic systems and blockchain technologies applied to industry. The problem identified in the research is the lack of coordination between fixed and mobile robots to develop activities and fulfill tasks in work areas, coupled with the lack or non-existence of secure data management. For this purpose, 22 scientific articles related to the subject have been considered considering three criteria (L), (Q) and (L-Q). A methodology proposed in a traditional model has been analyzed, which has served as a basis to define 5 steps for the creation of the new model, multi-agent system technologies have been incorporated for the coordination of robots and blockchain to perform secure data recording, decentralization and verifiable pose. Thus, the MASBLOCK model has been proposed, which shows an industrial environment where inputs, technologies, fixed and mobile robots interact; which perform multiple tasks, until reaching a validation point that allows to continue with the flow of activities until ending with an output, benefiting the interaction, self-programming and self-regulation of robots and all agents involved in productive and logistic operations, and data security in information management. Keywords: Conceptual model, multi-agent robotic systems, blockchain, industry.