acquiring processing condition data, a quality attribute value and quality inspection result data of each workpiece of multiple workpieces processed by production equipment, the processing condition data of a workpiece of the multiple workpieces including a processing parameter used by the production equipment when processing the workpiece and ambient condition data of the production equipment when processing the workpiece;

determining, based on the processing condition data and the quality attribute value of each workpiece of the multiple workpieces, a first relationship between the quality attribute value of the workpiece processed by the production equipment and the ambient condition data of the production equipment when processing the workpiece and the processing parameter of the production equipment;

determining, based on the quality attribute value and the quality inspection result data of each workpiece of the multiple workpieces, a second relationship between the quality inspection result data and quality attribute value of the workpiece processed by the production equipment;

generating, for given ambient condition data, a set of processing parameters of the production equipment;

determining, for each element in the set and based on the ambient condition data, the element and the first relationship, a quality attribute value of each second simulated workpiece of multiple second simulated workpieces processed based upon the processing parameter represented by the element;

determining, for each element in the set, for each second simulated workpiece of the multiple second simulated workpieces and based on the second relationship and the quality attribute value of the second simulated workpiece determined, quality inspection result data of the second simulated workpiece;

compiling, for each element in the set, statistics of a quality inspection pass rate according to the quality inspection result data determined of each second simulated workpiece of the multiple second simulated workpieces; and

repeating a process until a condition is met, the condition including a number of iterations reaching a maximum number of iterations or a calculated quality inspection pass rate of the workpiece processed by the production equipment reaching a pass rate threshold, the process including:

determining the element corresponding to a maximum value of all quality inspection pass rates obtained statistically as the optimal value of the processing parameter of the production equipment for the ambient condition data, wherein the determining of the first relationship comprises:

using the processing condition data of each workpiece of the multiple workpieces as an input vector of a generator in a Conditional Generative Adversarial Net (COAN) model;

using the processing condition data of each workpiece of the multiple workpieces as an input vector of a discriminator of the CGAN model;

using the quality attribute value of each workpiece of the multiple workpieces or an output vector of the generator of the CGAN model as another input vector of the discriminator in the CGAN model; and

training the CGAN model, and using the generator of the CGAN model obtained by training as the first relationship.