Deep learning with 3D data such as reconstructed point clouds and CAD models has
received great research interests recently. However, the capability of using point clouds with …

The presence of defects in industrial manufacturing may compromise the final quality and
cost of a product. Among all possible defect causes, human errors have significant effects on …

Improved lognormal reliability test plans are proposed for lot sentencing. A mixed integer
nonlinear programming problem is stated and solved in order to find the duration of the …

Optimal reliability demonstration test plans with controlled expected producer and consumer
risks are computed. Device failure times follow Weibull distributions, whereas prior …

This paper presents a smart information technology framework for an adequate visualization
of assembly-and quality-related information on the vehicle assembly line. Automobile …

This paper derives an inspection policy for an economic production quantity (EPQ) model
under the assumption that a process may produce non-conforming (NC) items. In various …

Expected cost functions are often minimized to determine optimal inspection schemes for lot
acceptance purposes. However, minimum mean cost sampling plans usually have high …

In industry, the durations of reliability experiments are usually fixed in advanced, which
could lead to suboptimal results. A constrained optimization problem is stated in order to …

Unified Bayesian/frequentist approaches for the design of attributes sampling plans are
introduced by minimizing and limiting a weighted-average of the classical or expected …

Minimum-cost reliability test durations based on gamma failure count data are found by
solving mixed integer nonlinear programming problems. The optimal numbers of test units …