Maintenance Management addresses several competencies and areas of expertise. These are vehicle maintenance, shop operations, environmental issues, inventory management section, benchmarking section and finally, outsource maintenance activities.
The first competency concentrates on vehicle maintenance, including specific maintenance functions, preventive maintenance program implementation and effective administration of warranty programs. This potentially affects all aspects of fleet management including the financial and safe operation of a fleet and the end user’s productivity.
The second competency is shop operations, which review shop practices related to efficiency, staffing levels, and the decision to outsource a shop operation. This process appraises operation to determine optimum staffing levels and advantageous outsourcing opportunities.
The third competency, environmental issues, provides greater comprehension and addresses environmental regulatory affairs and environmentally-responsible fleet/shop operations. Its requirements guarantee not only a clean and healthy environment, but also employee safety.
The inventory management section identifies the importance of effective materials management. It makes use of professionally managed parts to operate at peak efficiency. It is an important contributing element to the progress of maintenance facility.
After that, the benchmarking section offers valuable principles for an in-house fleet maintenance operation. It is a key function to retain productivity and effectively maintain operations. Benchmarking involves proper data collection, comparison, and analysis to determine performance status and standards
And the last competency, which is outsourcing, reviews and understands factors and elements influencing settlements on outsource fleet maintenance activities. Its conclusion depends on a wide array of factors but its ultimate goal is efficiency.
Another element making up maintenance management is its processes. It is inclusive of Preventive Maintenance and Condition Monitoring; Maintenance Planning and Scheduling; Root Cause Analysis and Materials Management.
Preventive maintenance and condition monitoring starts out by creating the implementation plan—identifies measurable success indicators for the condition monitoring and preventive maintenance program. The goal is to achieve a condition monitoring and preventive maintenance program that is documented, executed and tracked. And this may be done through the process of setting up, executing and measuring an effective program.
Maintenance Planning and scheduling is an important element in developing a well functioning maintenance organization. In order for it to work, the organization should do equipment inspections through preventive maintenance, technical database such as bill of materials, work order history, and standard job plans. Advanced methods are also a must in leading the company’s focus on simplifying the planning and scheduling process to make it truly effective.
Root cause analysis, another process of maintenance management, if properly implemented results to the reduction of maintenance planner's work load; decrease in inventory-replenishment purchase orders; deduction of manually-prepared direct purchase requisitions; condensation of maintenance storeroom inventories, while increasing reliability; and generation of new measures for tracking plant reliability.
To complete the maintenance management processes is materials management. This comprises educational maintenance audit and benchmarking tools. Its purpose is, to train and educate the organization in best practices for reliability and maintenance; and to conduct a maintenance audit of the company's reliability and maintenance performance.
Efficiency and effectiveness of maintenance management relies heavily on total comprehension and the ability to address the competencies or areas of expertise involved; and the proper calculation, assembly and conduction of each of its processes.
Operations And Maintenance Management
Why do we need the MIMOSA standard?
In today’s manufacturing software marketplace, there are numerous vendors involved in predictive maintenance (condition monitoring & predictive asset health assessment). This is a true example of a fragmented market, where no clear leader exists with dominant market share. The same situation exists to a lesser degree on the maintenance side; while there are a handful of large vendors, none have dominant market share of the EAM market, estimated at $2.1B.
The end result is that predictive maintenance vendors have rolled some custom interfaces to one or more EAM systems, and a few formal alliances exist. When a customer looks to purchase a predictive maintenance (PdM) product, they have to check to see if the vendor supports their EAM system. Furthermore, they now face the risk that if they upgrade their EAM system the interface could break, and their upgrade options are now limited by the PdM vendor. This is the classic risk of proprietary, point to point integration solutions. his is the pain that open standards help solve.
The MIMOSA protocol standardizes the interface between plant floor systems (including PdM) and EAM systems. The MIMOSA standard is complementary to OPC, which handles the real-time communication aspect of interfacing with plant devices. There is an umbrella organization called OpenO&M, which is collaboration between MIMOSA, the OPC Foundation, and the ISA SP95 committee.
OPC Comparison
A good way to understand what is happening with MIMOSA today is to look at the analogous evolution of the OPC standard in recent history. A decade ago, operations personnel had a problem – they had heterogeneous plant floor equipment, including Distributed Control Systems (DCS), PLCs, motors, valves, and so on down the chain. With so many different device vendors, manufacturers had to worry about which vendors were supported for their HMI consoles, what low-level protocols could be used to bridge the gap. Along came the OPC standard (building on prior successes of the bus standards), which enforced a standardized communications protocol into plant floor devices.
Part of the reason the OPC standard achieved mainstream adoption is 3rd party vendors stepped in and created bridge products to make devices compliant. With these bridges, customers didn’t have to wait around for Allen Bradley PLCs to become compliant; they could by the OPC adapter for that device. The same thing is now happening with EAM systems. While some EAM vendors have dragged their feet, 3rd party vendors have stepped in and built MIMOSA-compliant bridges.
MIMOSA Messaging Protocol
One important step in the evolution of MIMOSA was in its progression from a storage-focused protocol to a messaging-focused protocol. The original version of MIMOSA was based on a data model called CRIS, or Common Relational Information Schema. This was a data model, which included database scripts for SQL Server and Oracle implementations. XSD schemas were created that mapped to the CRIS schemas, but many vendors focused on the storage aspect of the protocol.
Comparing the protocol to OPC, it became clear that there was a need for a messaging protocol to standardize the interface between plant floor systems and EAM systems. OPC standardized the interface to plant floor devices for real-time data retrieval. What was needed for EAM systems was a messaging protocol that could do the same, for use cases like automatic work order creation, uploading meters and measurement points, retrieving asset information, and auditing status of generated work and work history. Since each EAM vendor had their own database implementation, the interest was primarily in the messaging layer, rather than an additional storage layer. The Tech-Xml XSDs and Tech-Xml-Services web services specifications shifted the focus to the messaging layer for integration.
The good news about today's solutions is that they can leverage Tech-Xml-based web service communication for tying into EAM systems, but also leverage the CRIS database for standardized reporting capabilities. As more vendors build reliability analysis and reporting tools on top of CRIS, they don't all have to worry about plumbing to connect to each prioprietary EAM database for reporting.
How many Enterprise Asset Management (EAM) systems are compliant today?
Almost all of the major EAM systems on the market today, including SAP, Maximo, Datastream, and Indus, have MIMOSA-based adapters available (in several cases the adapters are from partner companies). These adapters make the EAM systems MIMOSA compliant, so that predictive maintenance and asset health vendors can focus on their value-add, reducing unplanned downtime and eliminating wasted maintenance, rather than having to focus on plumbing to all the EAM systems. This also benefits the customer, who is shielded from upgrade and migration risk for EAM integration. The customer also benefits from lower cost integration.
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