The Impact of Intelligent Automation in Internal Supply Chains

Nowadays, industry is being forced to produce smaller and more diverse batches, increasing the complexity of internal supply chains. Data has become a valuable asset, supporting development intelligent automation solutions. Decision support systems, which leverage data, require pyramid be flexible, as information needs exchanged simultaneously in real-time with all layers. This paper proposes framework for deal current challenges acquisition management data industrial settings, towards feeding decision systems. It frames topic within scope chains, addressing impact on work practices organisation. Two real implementation cases are examined, wood chemical industries. Results help practitioners address most impactful affecting performance by developing systems faster, efficient improved quality.