Packaged, skid-mounted equipment offers several advantages over a piecemeal installation, including simplified purchasing, high-quality components, and quick installation. Continue Reading →
Life-cycle cost (LCC) represents the total cost of ownership over the complete life of an asset. Calculating LCC, a relatively simple exercise, can lead to better asset-management decisions. This approach has been referred to as cradle-to-grave or inception-to-disposal costing.
Using the stages in the accompanying chart as a guide, vendors/suppliers should be following detailed specifications from purchasing departments to ensure R&M (reliability and maintenance) requirements are met. This graphic is based on the Society of Automotive Engineers (SAE) 1993 & 1999 (document M-110 and 110.2), Reliability and Maintainability Guideline for Manufacturing Machinery and Equipment. (It’s noteworthy that both trades and engineers helped develop this guideline.)
Today there are many computerized LCC models. The concept is simple. Wouldn’t you be willing to pay 10% to 15% more in the initial purchase of machinery and equipment (M&E) if you could save substantially more over the life of those assets?
Overall, operational and maintenance (O&M) costs make up 50% to 80% of total life-cycle costs. By the time the M&E is constructed, however, 95% or more of that cost has already been determined. So, it’s either pay a little more up front or pay much more throughout an asset’s life. The good news is that incorporating “design for maintainability” principles in M&E purchasing decisions can generate substantial O&M cost savings. That means specifications should reflect design-in considerations such as accessibility, modularity, and easy assembly and disassembly. For example, ask:
- Has the need for accessibility with special tools been considered?
- To reach a frequently failing component, would items that haven’t failed need to be removed?
- Would some long-life parts be disposed of with disposable parts?
The objective of LCC is to select the most cost-effective approach, so that the lowest long-term cost of ownership is achieved. Unfortunately, ongoing pressure to save money drives short-term thinking. This was a challenge 30 years ago, and still is today.
At a recent Univ. of Tennessee Reliability and Maintainability Center (RMC) meeting in Knoxville, attendees from 50 member companies were polled on LCC matters. Questions and responses included:
Do you have an equation/formula that you use to calculate ROI [return on investment] when making Life-Cycle Asset Management decisions?
- 76% responded “No.”
How well does your life-cycle process work?
- Not at all or don’t have one (56%)
- Not too well (29%)
- Adequate (10%
- Very good (5%)
- Excellent (0%)
How much are design and purchasing (specifications) for R&M needed in buying new equipment?
- Should always be used (66%)
- Should be used most of the time (30%)
- Somewhat needed (4%)
- Don’t need them (0%)
How much are design and purchasing (specifications) for R&M used in buying new equipment?
- Somewhat use them (64%)
- Don’t use them (18%)
- Regularly use them (9%)
- Always use them (9%)
These responses indicate a continuing purchasing/manufacturing disconnect. As long as purchasing departments focus mainly on reducing initial costs, this won’t change. Purchasing typically reports to the top of the organization alongside manufacturing, so the battle continues.
What’s needed is a machinery & equipment reliability metric tied to a purchasing department’s performance, not just its cost-saving abilities. After all, LCC decision making is a rich opportunity for organizations. That is if they have the discipline to implement long-term success strategies. MT
Based in Knoxville, Klaus M. Blache is director of the Reliability & Maintainability Center at the Univ. of Tennessee, and a research professor in the College of Engineering. Contact him at email@example.com.
Uniformance Suite is a fully integrated system of process software solutions said to turn plant data into actionable information enabling smart operations. The suite uses data analytics to allow users to capture data, visualize trends, collaborate with other users, predict and prevent equipment failures, and act to make informed business decisions. The software collects and stores all types of data for retrieval and analysis, predicts and detects events based on underlying patterns and correlations, links process metrics with business KPIs for decision making, and enables IIoT, mobility, cloud, big data, and predictive and enterprise analytics. Uniformance Insight allows users to visualize process conditions and investigate events from any web browser.
Honeywell Process Solutions
SKF (www.skf.com) has launched a new Wireless Machine Condition Sensor that leverages WirelessHART protocol to deliver dynamic vibration and temperature data for condition monitoring and diagnostics. The product has ATEX Zone 0 certification, which means it is appropriate for use in hazardous environments like those found in petrochemical and oil and gas operations, among others. The product combines both sensor and router node into one compact and battery-operated unit the size of a typical industrial accelerometer.
According to SKF, these sensors communicate with each other and with a wireless gateway, thus creating a mesh network that’s well suited for monitoring rotating machinery across large sites, in hard-to-reach locations or where traditional WiFi communications won’t work. Capabilities include relaying data from one node to another and back to the gateway, and receiving automated commands from SKF-supplied Wireless Sensor Device Manager software.
If a node is unable to receive signals directly from the WirelessHART gateway, it sends and receives them through a nearby node that can pass the data to and from the gateway. The WirelessHART gateway communicates with the Device Manager software and automatically exports collected data into SKF @ptitude Analyst, a diagnostic and analytic software tool that helps plant personnel determine a course of action.
Because SKF’s Wireless Machine Condition Sensors run in a low-power-consumption mode, the manufacturer says their batteries can last for years in the field.