Do you serve your customers with the help of valuable enterprise assets such as rail tracks, gas pipelines, and pumps? Are your assets essential resources in generating value for you, your company and your customers? Have you made a significant monetary investment into these assets and are they not easily replaced? Then, these assets need to perform at a guaranteed level of service to meet customer expectations. Downtime experienced while assets are repaired cuts into profits. To ensure maximum uptime and availability of these assets, an asset lifecycle approach is recommended. (In English and Dutch).

Companies using the SAP suite of products may not be seeing the full benefits from the range of features purchased. Much of this has to do with systems that weren’t designed for different end users of varying skill levels who need to complete a variety of tasks throughout the day. Indifference, confusion and frustration cause hundreds of hours’ worth of wasted time and only further nurture the unproductive work environment. Through high-level User Experience projects, companies can easily reverse this inefficiency. A customized project plan can be developed through the help of a User Experience system analysis that not only simplifies processes for employees, but also allows companies to optimize their operation. These solutions maintain data integrity across departments and can even completely eliminate the need for system training. The intuitive interface can remain consistent across every device for higher user adaptation, ultimately bringing more money to the bottom line.

The individual technologies used in predictive maintenance (PDM) have broad application in plants and facilities.
The three most common ones
are:

• Vibration analysis
• Thermography
• Oil analysis

Typically, vibration analysis is used to detect wear in rotating equipment. Thermography is used to detect loose connections or hot spots in electrical equipment. And oil analysis has at least two uses — to determine the condition of a lubricant and to examine the wear particles contained in the lubricant to determine the wear rate of the components in the system. When used to determine the relative condition of the equipment being lubricated, it is often referred to as “wear-particle analysis.” In addition to these technologies, there are others such as ultrasound that can be used to isolate air leaks, steam leaks, defective fluid power components, and other problems.

Download our white paper to find out more.

Companies often use GIS and SAP for different purposes even if they are part of the same workflow. At its most basic level, GIS is used to add location to business processes. The majority of business data has a location component and GIS embeds the “spatial factor” into operations. Download this paper to find out how companies employ GIS systems to map their assets.

Construction of physical assets in a high volume, high repetition environment creates challenges within the entire build process from design, estimation, planning, capture of ”as-built” design, physical/ financial asset creation, and right into the associated activities of costing and reporting (including statutory reporting in regulated industries). Many organizations use a combination of separate systems and manual steps to address these challenges, and thereby introducing complexity, inefficiency and inaccuracy into these processes and outcomes…

One of the most mission critical elements of any SAP EAM implementation is a successful data conversion. The amount of effort required for data conversion is often overlooked, as the attention of the project team is focused on business process reviews, development specifications and other Blueprint activities. Without sufficient planning and preparation, the data conversion can become an unnecessary risk to the success of the implementation. The purpose of this document is to identify some keys to success for an SAP EAM data conversion project — keys that will help the project avoid risk and to deliver accurate conversion results in the allotted timeframe.

This document will address the following keys to success :

1. Data Conversion Strategy Clearly define the scope of the data conversion and overall plan
2. Tracking Conversion Progress Monitor the progress of the data conversion
3. Communication Important channels of communication for the data conversion team
4. Testing and Verification Ensure sufficient testing and verification prior to production loads
5. Cut-Over Plan Carefully script all conversion activities during the Final Prep and Go-Live