Constrained optimization via simulation models for new product innovation

International Conference on Informatics, Technology and Engineering 2017

计算机科学

Pujowidianto, Nugroho A.^1

R and D Engineer, HP Inc., 138 Depot Road, Singapore

109683, Singapore^1

关键词: Decision makers;    Decision variables;    New product development;    New product innovations;    Performance measure;    Problem formulation;    Risk preference;    Simulation optimization;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/245/1/012024/pdf
DOI  :  10.1088/1757-899X/245/1/012024

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

We consider the problem of constrained optimization where the decision makers aim to optimize the primary performance measure while constraining the secondary performance measures. This paper provides a brief overview of stochastically constrained optimization via discrete event simulation. Most review papers tend to be methodology-based. This review attempts to be problem-based as decision makers may have already decided on the problem formulation. We consider constrained optimization models as there are usually constraints on secondary performance measures as trade-off in new product development. It starts by laying out different possible methods and the reasons using constrained optimization via simulation models. It is then followed by the review of different simulation optimization approach to address constrained optimization depending on the number of decision variables, the type of constraints, and the risk preferences of the decision makers in handling uncertainties.