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Download MES User Manual - Inductive Automation
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SPC Quality 399 Returns the maximum value based on the attribute this sample data object is associated with. This is automatically set when the sample is created and is based on the sample definition. getAttrValue() - Object Returns the data value for this sample data object. getAttrValueAsString() - String Returns the value for this sample data object as a string. setAttrValue(Object attrValue) Sets the value for this sample data object. If the attrValue parameter is not the correct data type, an attempt to convert it to the correct data type is performed before it is set. isValueValid() - boolean Returns true if the value of this sample data object has been set and is between minimum and maximum values. isModified() - boolean Returns true if the value of this sample data object has been modified. 3.6.2.3 Attribute Data Type The attribute data type object contains the available data types of a sample attribute. Available data types: INTEGER Attribute can contain positive or negative numeric values with no fractions. It has a minimum value of -2,147,483,648 and a maximum value of 2,147,483,647 (inclusive). REAL Attribute can contain double-precision 64-bit IEEE 754 floating point values. BOOLEAN Attribute can contain a true or false value. INSPECTED_COUNT Attribute can contain a counting number (1, 2, 3, 4, …) and represents a number of items inspected for a attribute samples. This attribute data type is recognized and required by the p, np, c and u control charts. NONCONFORMING_COUNT Attribute can contain a counting number (1, 2, 3, 4, …) and represents a number of nonconforming items (defective items) for a attribute samples. This attribute data type is recognized and required by the p and np control charts. NONCONFORMITY_COUNT Attribute can contain a counting number (1, 2, 3, 4, …) and represents the number of nonconformities items that have (deformities) for a attribute samples. This attribute data type is recognized and required by the c and u control charts. © Inductive Automation
