Imagine if, at the start of every year, all the data regarding all spare parts required to optimize inventory balance, without affecting the maintenance schedule, is readily available. Over the years, this has always been an internal conflict between two departments within an organization: Purchasing and Maintenance.
On one hand, to reduce inventory cost, the purchasing department’s strategy is to keep only the necessary inventory. On the other hand, the maintenance department would like to keep all spare parts ready for dispatch at any time to execute their maintenance. If all inventory is available 100% of the time, the fulfillment rate of the preventive maintenance is always 100% and there would be no work delays due to the lack of inventory.
To bridge the conflicting interests of two departments and to achieve the optimum inventory balance, it is necessary to work as a team. As a result, the purchasing department can meet the needs of its main internal customer (Maintenance) without affecting its financial aims and the maintenance department can meet the needs of its main internal customer (Operations) increasing availability and reliability reducing the failure probability of all assets.
To achieve inventory optimization, the purchasing department needs to develop the following:
Purchasing department must develop a classification of the critical spare parts by evaluating:
Having up to date lead time for each of a spare part will provide a clear information how much time is needed to fulfill customer’s order and enable creation of the purchasing plan based on the future needs. Furthermore, the purchasing department must have a knowledge and experience as how to establish Safety Stocks and Economic Order Quantities for any given spare parts.
Conducting an analysis and evaluation of the most qualified suppliers/vendors, to get the optimum agreement in terms of price, quality and lead time.
In conjunction, the maintenance department also needs to develop the following:
To build or improve your predictive asset management strategy it is necessary to first collect any important data about measurement points, condition monitoring and failure events.
With this information, the maintenance department can begin to develop a Root Cause Analysis in order to discover potential patterns. This is done through a deep analysis of collected maintenance records.
Once the Root Cause Analysis is done, there is now a base that allows for the creation of an appropriate statistical model to discover maintenance events probabilities.
At this point, the information can be used to plan for upcoming maintenance activities and for advance preparation. Also, it is important to say that this is a never-ending cycle that needs to be reviewed constantly.
To define and make improvements in the maintenance plan, it is necessary to establish periodic reviews to the asset performance by taken in to consideration failure records, analyzing the asset status and the stage of its life- cycle.
These are then used to determine specialized maintenance activities that need to be included in the maintenance plan. Another way to get important input to update the maintenance plan is through inspections, these are useful to discover the status of several components (wear, break, damage, to be replaced, etc.) so that it can be included in the maintenance plan with a frequency based on time, meters or condition.
Along with the above mentioned, it is necessary to gather meter readings and dates for the executed maintenance based on time, meter or condition.
Maximo through its Forecast function located in the Preventive Maintenance module offers the possibility to forecast all upcoming maintenance activities for every asset within estimated dates. This information is useful to solve any conflict between Purchasing and Maintenance needs because it is the input for elaborating the Purchasing Plan.
In conclusion, any company that wants to be successful in the implementation of such a great solution as Maximo and its forecast functionality, must have their Purchasing and Maintenance department work as a team and together define the internal processes.
If you have questions about the Forecast in Maximo, the predictive asset management or the preventive maintenance, don’t hesitate to contact our experts!
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