decision making

The Road to Prescriptive Maintenance: Moving from Data to Actions

The road to digitization starts with collecting data from machines, and ideally ends with physical actions that are taken by the operators and technicians. The path in between the two is full of vague buzz-words with no real-world examples.

Asset Management

Augmented Decision-Making: When Data Replaces Experience

The evolution of OT is meteoric. Today, a proliferation of connected devices can monitor asset condition and performance, along with operational conditions. The information captured from these devices enables operational optimization. It can also prevent unplanned downtime through early detection of impending failures, allowing corrective actions to be planned.

Asset Management

Introduction to Statistical Methods in Reliability

TRC-2018 Learning Zone 45:07
by Wekianos Hailu, Clark County Water Reclamation District

Statistical methods are one of the most important tools in Reliability. Availability and Failures of parts, machinery, and equipment follow certain statistical distributions and it is through a solid understanding of the nature of such distribution that a sound predictive analysis can be made. The analyses results can then be put to use as Decision Support. Specific uses include Design for Reliability, various activities in MRO, Maintenance Strategies as in optimizing Predictive, Preventive and Reactive Maintenance. The presentation will cover the basics of statics and statistical distributions followed by the concepts of Reliability, Unreliability, MTTF/MTBF, Failure Rate and Estimation of Remaining Service Life and other related concepts. The Exponential Distribution and the Weibull Probability Plot will be used in explaining these concepts. Furthermore, worked examples, some of which that are based on real experience will be presented to assist easy grasp of the fundamentals underlying the process. Also presented are the basics of Reliability Blocks for systems with redundancy and standby systems.

Internet of Things Digitalization (IoT)

How to Implement IIoT Predictive Analytics Solutions Without Hiring Big Data Scientists

Industrial Internet of Things (IIoT) predictive maintenance is firmly on the radar of most executives. At the same time, there are serious concerns about the lack of internal resources to analyze, visualize and interpret the big data generated by industrial machines. This article proposes an alternative: Implementing a big data predictive analytics solution without hiring a big data scientist.

Work Execution Management

Argo Consulting

Argo is an operations improvement consulting firm that breaks through the traditional barriers of the consultant-client relationship. We are hands-on consultants who deliver real results and no excuses.

RIME for Work Prioritization: Median Time to Complete Work Orders

work execution management

Work Prioritization: Emotion vs. Logic

by George Mahoney

A Supervisor's Typical Morning

Its 7 a.m. and Rich's head is already spinning. He hasn't even finished his first cup of coffee and already three different customers have screamed at him. While the customers are from three completely different business areas, they have two things in common:

They each have an "emergency" that needs to be taken care of right now.

They each refer to themselves as THE most important person on site.