Jose M. Pinto

Director, Linde Digital Americas






Advanced Decision-Support Technologies for the Design and Management of Industrial Gas Supply Chains

This presentation addresses the development and implementation of advanced decision-support technologies for the design and management of supply chains. By focusing on the industrial gas business, it explores the major contributions to the bulk industrial gases and the packaged gases supply chains. We discuss problems that range from strategic network design, including plant reliability, to operational problems such as energy management multi-site scheduling and planning, inventory optimization, and vehicle routing. Solutions that integrate business activities, such as production and distribution, are also reviewed and discussed. Moreover, this presentation emphasizes the opportunities to develop more comprehensive optimization models that address multiscale and uncertainty issues, as well as their associated tractability challenges. Finally, we highlight the challenges associated with the increasing availability of internal and external real time data and the deployment and implementation of decision- support systems in an industrial setting.

Jose M. Pinto is Director at Linde Digital Americas, a newly formed organization within Linde plc., where he is responsible for the end-to-end development and implementation of digital technologies in the Americas. Linde is a leading global industrial gases and engineering company with 2020 sales of $27 billion (€24 billion). The team portfolio focuses on the development of operations research technology in the areas of supply chain planning and scheduling, risk analysis, revenue management and business processes. Dr. Pinto holds a BS from the Univ. of Sao Paulo, an MS from the Federal Univ. of Rio de Janeiro, and a PhD from Carnegie Mellon Univ., all in chemical engineering. He has published more than 100 papers in peer-reviewed journals in the areas of planning, scheduling, and supply chain optimization; process operations; process synthesis and design; and mixed integer optimization. Prior to joining Linde, he served on the faculty of the University of São Paulo and of the NYU Polytechnic School of Engineering.