110th Anniversary: Commentary: The Smart Human in Smart Manufacturing

Abstract

Process systems engineering has been a vibrant field for over 60 years, encompassing process design, process optimization, process control, and related topics. During the past decade, the notions of the "factory of the future", "Industry 4.0", "Smart Manufacturing", and the "Industrial Internet of Things" have become common terms, often appearing in the mainstream media. Making use of more data from increasingly cheaper and more readily available sensors, combined with modeling and optimization, provides the potential to improve manufacturing across the entire enterprise, including the supply chain and product distribution. Despite the advanced technology becoming available or perhaps because of it, the human role becomes even more important and thus receives much of the focus of this commentary article.

Decision Making and Risk Management in Biopharmaceutical Engineering—Opportunities in the Age of Covid-19 and Digitalization

“…This will inevitably result in a critical confrontation of smart manufacturing procedures and smart humans. 52 It can be expected that a growing number of companies will increasingly utilize advanced predictive solutions besides the commonly utilized, static multivariate techniques, which given their linear nature are much simpler to validate for Good Manufacturing Practice (GMP) utility. This experience will very likely provide more clarity on the limits of complexity which can be introduced into such smart digital solutions to ensure transparency and trackability for health authorities, but also on the general filing procedure of a highly interconnected, digital-twin-supervised manufacturing facility.…”

“…However, in manufacturing operations which are based on decisions either actively introduced or supported by such models, a detailed assessment of these smart digital solutions is required. This will inevitably result in a critical confrontation of smart manufacturing procedures and smart humans . It can be expected that a growing number of companies will increasingly utilize advanced predictive solutions besides the commonly utilized, static multivariate techniques, which given their linear nature are much simpler to validate for Good Manufacturing Practice (GMP) utility.…”

Assessment of Situation Awareness Conflict Risk between Human and AI in Process System Operation

“…The inception of Industry 4.0 and the enhanced use of digital technologies and digitalization are reshaping the operation and structure of process systems. , Effective utilization of artificial intelligence (AI) and machine learning (ML) algorithms is pivotal to ensure the successful adoption of Industry 4.0 and digitalization, and day by day, these technologies are increasingly being used in process industries . These have significantly improved the performance of sensors and controllers, model prediction accuracy, parameter estimation, and process optimization .…”

Discrete Dynamic Modeling Analysis of Engineering Management and Quality Optimization Innovation Mode Based on Big Data Intelligent Algorithm

“…Although enterprises are keeping up with high and new technology, the development of engineering management is not perfect. e original management system can no longer meet the needs of modern engineering projects (Fan) [5]. In engineering management, how to realize green management and unified allocation of resources are also very important.…”