NDLI: The Robust Design of EOQ Considering the Compound Effect of Both Noise Uncertainty and Meta-modeling Uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Lianyan Zhu Yizhong Ma Liuyang Zhang
Copyright Year	2013
Description	Author affiliation: Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China (Lianyan Zhu; Yizhong Ma; Liuyang Zhang)
Abstract	The goal of robust design optimization for the supply chain is to improve the quality of the supply chain by minimizing the deteriorating effects of noise variables. This robustness can be achieved by different approaches such as meta-model-based robust design optimization. However, the aforementioned methods nearly ignore the meta-modeling uncertainty quantifying the mismatch between the meta-model and the simulation process. But meta-modeling uncertainty may have much effect on the results of the robust design optimization for the supply chain. In this paper, we consider the compound effect of both uncertainty in noise variables and meta-modeling uncertainty and apply the results to Economic Order Quantity (EOQ) model. Simulation results show the robust optimization considering the meta-modeling uncertainty may require order quantities that differ from the robust optimization with considering meta-modeling uncertainty.
Sponsorship	IEEE Nanjing Sect. CIS Chapt.
Starting Page	173
Ending Page	177
File Size	175709
Page Count	5
File Format	PDF
ISBN	9780769550794
DOI	10.1109/ISCID.2013.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Computational modeling Noise Supply chains Metamodeling supply chain robustness Robustness meta-modeling uncertainty Optimization Kriging
Content Type	Text
Resource Type	Article

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