Procedural Guide for System-Level Impact Evaluation of Industrial Artificial Intelligence-Driven Technologies: Application to Risk-Based Investment Analysis for Condition Monitoring Systems in Manufacturing.

Industrial artificial intelligence (IAI) and other analysis tools with obfuscated internal processes are growing in capability and ubiquity within industrial settings. Decision-makers share their concern regarding the objective evaluation of such tools and their impacts at the system level, facility level, and beyond. One application where this style of tool is making a significant impact is in Condition Monitoring Systems (CMSs).

Survey and Classification of Operational Control Problems in Discrete Event Logistics Systems (DELS).

This paper reviews and classifies literature on operational control of discrete event logistics systems (DELS). Operational control manipulates the flow of items through a DELS. Each control problem addressed in the surveyed literature is classified based on the control decision that the analysis model is formulated to support.

Self-Similar Architectures for Smart Manufacturing and Logistics Systems.

Self-similar architectures simplify design and interoperability for smart manufacturing and logistics systems. Self-similar architectures for these domains extend existing models of self-similar controller architectures to include unified models, or abstractions, of plant behavior and planning and operational control functions. This paper proposes modeling system units as discrete event logistics systems (DELS), an abstraction that unifies heterogeneous system models for the manufacturing and logistics domain.