Haulmont XDA (Extradition)

2022: The announcement of the release of "Extradition"

On February 1, 2023, Howlmont announced that it had released a product called XDA (Extradition) in 2022. This is a system for long-term modeling of the value of complex assets, equipment and equipment. Extradition will be useful to companies that are engaged in field development, industrial production, construction or road work. The system will help top managers, as well as leaders of the financial or economic block, in making decisions. Extradition allows you to model the value throughout the life cycle of an asset, and also compare the forecast with actual data and adjust it if necessary.

According to the company, Extradition will allow:

• Calculate the cost of ownership of equipment or equipment taking into account the expected service life, maintenance and repair requirements, the price of spare parts.
• Compare the cost of ownership of equipment from different manufacturers and choose the best option.
• Plan procurement costs for spare parts and consumables.
• Keep records of assets and always have on hand data on equipment or equipment characteristics, maintenance schedule, etc.
• Calculate different scenarios based on inflation, currency volatility, change of supplier, or company strategy.
• Calculate the optimal terms of the contract when it comes to service companies.

Task List Editor

As of February 2023, companies mainly use Excel tables for long-term modeling of the value of complex assets. Their disadvantages are known to everyone: a high probability of error due to the human factor, lack of versionality, the inability to conduct a plan-factor analysis. Since complex assets are involved, the wrong calculation can be very expensive. In addition, calculations in Excel take a long time.

Another common tool is Maintenance and Repair Planning (Maintenance Planning) systems, such as those from SAP, Oracle, or 1C . However, for February 2023, they are intended only for managing scheduled repairs. There is no way to calculate a long-term forecast for 5-7 years, quickly compare several scenarios or conduct a plan-factor analysis.

Another solution is the the Australian manufacturer's AMT system, which is more of a class. EAM This is the recommended ON technique for dealers. In the Caterpillar post-Soviet space, there are only a couple of companies that acquired it several years ago, and in February 2023 Russian , AMT left the market altogether.

It is not an option to give the modeling of the value of complex assets to outsiders, since most consulting companies do not have sufficient expertise in the required area.

MR

The central element of all settlements in Extradition is the flow charts for all operations. For example, the maintenance map according to a specific model of equipment fits when it should be performed for the first time, after what time to repeat, what operations are included in the maintenance, how many and what spare parts are used and how many man-hours it takes. Task lists can be created manually or loaded from Excel tables if the company has already maintained records. Catalogs of spare parts and prices for them are unloaded from the customer's accounting system (integration with 1C is implemented in Extradition), thus ensuring the relevance of the data.

One of the scenarios for using the system is to forecast the cost of ownership of an asset. When you create a forecast, you specify the planning horizon and step. For example, you need a forecast for 5 years with a step of 1 quarter. The user also chooses for which assets to calculate, sets the currency, its rate, and, if necessary, the inflation rate. If we are talking about calculating a service contract, for example, for the export of ore from the quarry, then you can add a counterparty, the cost of the norm-hour, a mark-up on materials and work. Based on the entered data, a calculation is made, which is divided into items (maintenance, repair, etc.). If necessary, you can manually remove, add, or edit expense items. For example, a company can calculate how to save on repairing equipment in order to free up funds for investments in another field. Or, you can see that it will be more profitable to repair a mining dump truck less often than recommended, write it off faster, and buy another instead of servicing the old one.

Based on forecasts, you can generate a report. For example, in an Excel spreadsheet, you can summarize and upload the cost of ownership of a specific asset for a specific time, maintenance schedule, or operating hour cost.

Another scenario is to compare actual data with forecast data. To do this, a list of existing assets with Vin codes is entered into the system, according to them, data on what repair work was carried out is uploaded from work orders to 1C. The difference between actual and forecast data is clearly reflected in the graph. If the fact is very different from the forecast, then the forecast can be stopped and recalculated with other conditions.