Modeling and simulation for product design process. (February 2013)

• Record Type: Journal Article
• Authors: Arsham, Hossein
• Is Part Of: Simulation. Volume 89:Number 2(2013)
• Page Start: 178
• Page End: 191
• Publication Date: 2013-02
• Subjects: system design by simulation -- design parameter setting -- reliability system design -- robust design -- gradient estimation -- prescriptive modeling and simulation; Computer simulation -- Periodicals; 003.3
• DOI: 10.1177/0037549712451776
• Languages: English
• ISSNs: 0037-5497

Abstract

Descriptive simulation finds the performance measure of a system, given a particular value for the input parameters. Inverse simulation reverses this and attempts to find the controllable input parameters required to achieve a particular performance measure. This paper proposes using a 'stochastic approximation' to estimate the necessary design parameters within a range of desired accuracy. The proposed solution algorithm is based on Newton's methods using a single-run simulation to minimize a loss function that measures the deviation from a target value. The properties of the solution algorithm and the validity of the estimates are examined by applying them to a reliability system with a known analytical solution.