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Authors: Wa-Muzemba Tshibangu and Anselm Tshibangu

Affiliation: University of Maryland Baltimore County, United States

Keyword(s): Optimization, Robust Design, Simulation Meta-modeling.

Abstract: This paper presents a two-step optimization scheme developed to find the optimal operational settings of operational systems seeking to optimize their operations using multiple performance measures. The study focuses on two conflicting performance measures, the Throughput Rate (TR) and the Mean Flow Time (MFT). First an empirical approach is used to uncover the near optimal values of the performance measures using an experimental design procedure. Second, an analytical procedure is deployed to find the exact optima using values the near optima found in the first step as target. The analytical procedure uses a non-linear regression meta-model derived from simulation outputs and compromises the two conflicting targets while minimizing the loss incurred to the overall system. This loss is expressed in the form of a multivariate version of the Taguchi quadratic loss function. Although the framework as presented in this paper is derived by analyzing a manufacturing system through discrete -event simulation, the procedure however, can successfully be applied to any processing system in various industries including food production, financial institutions, warehouse industry, and healthcare. (More)

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Paper citation in several formats:
Tshibangu, W. and Tshibangu, A. (2013). A Two-step Empirical-analytical Optimization Scheme. In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8565-71-6; ISSN 2184-2809, SciTePress, pages 558-565. DOI: 10.5220/0004489105580565

@conference{icinco13,
author={Wa{-}Muzemba Tshibangu. and Anselm Tshibangu.},
title={A Two-step Empirical-analytical Optimization Scheme},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2013},
pages={558-565},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004489105580565},
isbn={978-989-8565-71-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - A Two-step Empirical-analytical Optimization Scheme
SN - 978-989-8565-71-6
IS - 2184-2809
AU - Tshibangu, W.
AU - Tshibangu, A.
PY - 2013
SP - 558
EP - 565
DO - 10.5220/0004489105580565
PB - SciTePress