Abstract: According to some aspects of the disclosure, a computer-implemented method, a computer program and a process control device for selecting at least one set of target cells from multiple sets of candidate cells are provided. The method can include receiving data collected from a plurality of processes, wherein each of the processes produces a distinct set of candidate cells. The method further comprises the received data including values of process outputs being a product quality attribute or a key performance indicator for selecting the target cells.

Abstract: A method and system for creating a design plan to test a product characteristic are described. One or more factors, level corresponding to the factors, and partitions for testing the product characteristic are determined. For each partition, an active matrix is generated. The product characteristic can be tested at each partition using the levels for the factors specified by the corresponding active matrix.

Abstract: A method and system for creating a design plan to test a product characteristic are described. One or more factors, level corresponding to the factors, and partitions for testing the product characteristic are determined. For each partition, an active matrix is generated. The product characteristic can be tested at each partition using the levels for the factors specified by the corresponding active matrix.

Abstract: Described are computer-implemented methods and apparatuses, including computer program products, for estimating an optimal value for each input factor of a design space. The design space is defined by the input factors and output responses for a physical process. The optimal values for the input factors represent a starting point for estimating the design space. Data is received for the input factors, the output responses and criteria. An initial design space is estimated based on the received data. The optimal values for the input factors are determined from the initial design space.