A method for determining optimal values of significant process parameters in an additive manufacturing (AM) process for printing a part from a specified process material, comprising: - defining a set of target output material properties to be optimized, - identifying an initial set of process parameters pertaining to the AM process, further characterized by comprising: - a screening phase (A) comprising: - executing a first plurality of experimental print runs based on a first experiment design applied to said initial set of process parameters, - obtaining a first output response by measuring the target output material properties for each print run, - based on the first output response, determining, from said initial set of process parameters, a subset of significant process parameters that affect the target output material properties, and - an optimization phase (B) comprising: - executing a second plurality of experimental print runs based on a second experiment design applied to said subset of significant process parameters, - obtaining a second output response by measuring the target output material properties for each print run, and - based on the second output response, determining optimal values for each significant process parameter in said subset of significant process parameters, for which a maximization or minimization of the target output material properties is predicted. - defining a set of target output material properties to be optimized, - identifying an initial set of process parameters pertaining to the AM process, further characterized by comprising: - a screening phase (A) comprising: - executing a first plurality of experimental print runs based on a first experiment design applied to said initial set of process parameters, - obtaining a first output response by measuring the target output material properties for each print run, - based on the first output response, determining, from said initial set of process parameters, a subset of significant process parameters that affect the target output material properties, and - executing a first plurality of experimental print runs based on a first experiment design applied to said initial set of process parameters, - obtaining a first output response by measuring the target output material properties for each print run, - based on the first output response, determining, from said initial set of process parameters, a subset of significant process parameters that affect the target output material properties, and - an optimization phase (B) comprising: - executing a second plurality of experimental print runs based on a second experiment design applied to said subset of significant process parameters, - obtaining a second output response by measuring the target output material properties for each print run, and - based on the second output response, determining optimal values for each significant process parameter in said subset of significant process parameters, for which a maximization or minimization of the target output material properties is predicted. - executing a second plurality of experimental print runs based on a second experiment design applied to said subset of significant process parameters, - obtaining a second output response by measuring the target output material properties for each print run, and - based on the second output response, determining optimal values for each significant process parameter in said subset of significant process parameters, for which a maximization or minimization of the target output material properties is predicted. <EOS>