Stochastic optimization of laboratory test workflow at metallurgical testing centers

摘要

The objective of the paper is to present a way to shorten the time required to perform laboratory tests of materialsin metallurgy. The paper finds a relation between the time to perform a test of materials and the number of technicianscarrying out the test. The relation can be used to optimize the number of technicians. The approach is basedon probability theory, as the amount of material to be tested is unknown in advance, and uses powerful modellingtechniques involving the generalized estimating equations.