Monthly Archives: October 2011
Capital Equipment Manufacturers utilize STATISTICA throughout the manufacturing process and then analyze the repair and usage data once their products are in use by customers
STATISTICA is an integral part of the quality control and Six Sigma programs at heavy equipment manufacturing organizations. Several of the largest global manufacturing organizations have global, site licenses for STATISTICA, used throughout their manufacturing sites.
Applications range from Web-based monitoring of Quality Control to fairly standard statistical process control techniques to customized STATISTICA-based applications for analyses that are specific to the type of manufacturing being performed.
Capital equipment manufacturers typically provide basic and extended warranties to their customers as a value-added service. The length of warranty to provide and its associated cost for each product are important concerns for these organizations.
It is also helpful from product improvement and repair process improvement perspectives to be able to determine the most frequent repairs by product, the factors that contribute to a failure type, and the correlations between failures (e.g., if the repair technician determines that the water pump needs to be replaced, they may as well replace another component that is also likely to fail).
STATISTICA‘s data mining and text mining algorithms are critical components in the successful setting of warranty parameters and the determination of repair guidelines and rules to decrease warranty service costs.
As a value-added service to their customers, organizations are able to offer remote monitoring services to their customers that deploy data transmission devices on their products and feed data to a centralized database. STATISTICA is integrated with those databases and monitors the various data feeds from the customer’s equipment. For example, the STATISTICA application includes predictive models to monitor oil pressure, RPMs, water pressure and various other equipment parameters. STATISTICA provides automated alerting and exception reporting when the latest data predict a problem or a failure for a piece of equipment. The organization notifies the customer proactively before there is a problem and a decision is made about whether a repair technician should be sent out to make adjustments to the machine.
StatSoft’s customers in the Capital Equipment Industry use the broad base of analytic techniques in the platform to determine regional patterns in their sales and to make cross-selling and up-selling recommendations based upon what an individual customer just purchased, what they already own, the business that the customer is in, the region in which the customer is based, etc.
- Enterprise Resource Planning (ERP) systems
- Laboratory Information Management Systems (LIMS)
- Manufacturing Execution Systems (MES)
- Data historians (e.g., PI)
- Data warehouses
- Connectivity to SAP
STATISTICA Enterprise allows you maintain the connections to this data, and the analyses of the data, all in one centralized application.
The data sources supported by STATISTICA Enterprise include the following:
- Any OLE DB or ODBC relational database, such as Oracle, SQL Server, or Access
- Flat files like Excel spreadsheets and STATISTICA spreadsheets
- Data historian repositories such as the PI Data Historian from OSI Soft, Inc.
- In-Place Database Processing (IDP), query multidimensional databases containing terabytes of data and process data without importing to local storage
STATISTICA Enterprise also provides convenient tools for filtering your data, and for viewing the metadata associated with those data sources.
The STATISTICA Enterprise administration application (called the Enterprise Manager) allows you to specify multiple users, with passwords, and assign different roles to those different users. For example, your database administrators can be given permission to create and modify database connections and queries, and your engineers can be given permission to run those queries and analyze the resulting data. Furthermore, each engineer can be assigned permissions for only the analyses that pertain to his or her work.