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Kleijnen, Jack P. C. (contributor) - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001869620

A Simulation Model of a Tandem Coordinated Supply Chain

Ashayeri, J. - 2011

This paper presents a study of a coordinated production inventory-system. In the proposed model, any echelon considers its successors as part of its inventory system and generates the replenishment order on the basis of operational information of its partners. We show that the coordinated...

Persistent link: https://www.econbiz.de/10013131474

On the Significance of Demand and Inventory Smoothing Interventions in Supply Chain

Salvatore, Cannella; Ciancimino, Elena; Ashayeri, J. - 2011

The aim of this paper is to quantify the benefit of demand and inventory smoothing in contrasting the extreme volatility and impetuous alteration of the market produced by the current economic recession. To do so we model a traditional supply chain and we test five settings of order smoothing...

Persistent link: https://www.econbiz.de/10014187332

Utilizing System Dynamics Models in Analyzing Macroeconomic Variables of Yemen

Mohamed, Issam A.W. - Volkswirtschaftliche Fakultät, … - 2011

– adjustment model. This work is an extension of the work by Nathan Forrester on the use of basic macroeconomic theory to stabilize …

Persistent link: https://www.econbiz.de/10009147691

Full Screening Another View at One-Factor-At-A-Time Designs

Bettonvil, Bert - 2011

Textbooks on Design of Experiments invariably start by explaining why one-factor-at-a-time (OAT) is an inferior method. Here we will show that in a model with all interactions a variant of OAT is extremely efficient, provided that we only have non-negative parameters and that there are only a...

Persistent link: https://www.econbiz.de/10013131493

Variance Reduction Techniques in Monte Carlo Methods

Kleijnen, Jack P. C. - 2010

Monte Carlo methods are simulation algorithms to estimate a numerical quantity in a statistical model of a real system … stimulated simulation analysts to develop ever more realistic models, so that the net result has not been faster execution of … simulation experiments; e.g., some modern simulation models need hours or days for a single 'run' (one replication of one …

Persistent link: https://www.econbiz.de/10013135680

Robust Optimization in Simulation : Taguchi and Krige Combined

Dellino, Gabriella - 2009

Optimization of simulated systems is the goal of many methods, but most methods assume known environments. We, however, develop a `robust' methodology that accounts for uncertain environments. Our methodology uses Taguchi's view of the uncertain world, but replaces his statistical techniques by...

Persistent link: https://www.econbiz.de/10013155383

Design of Experiments : Overview

Kleijnen, Jack P. C. - 2008

simulation models. This contribution discusses the different types of DOE for these three domains, but focusses on random … simulation. DOE may have two goals: sensitivity analysis including factor screening and optimization. This contribution starts …

Persistent link: https://www.econbiz.de/10012723285

Robust Optimization in Simulation : Taguchi and Response Surface Methodology

Dellino, Gabriella - 2008

Optimization of simulated systems is tackled by many methods, but most methods assume known environments. This article, however, develops a 'robust' methodology for uncertain environments. This methodology uses Taguchi's view of the uncertain world, but replaces his statistical techniques by...

Persistent link: https://www.econbiz.de/10012723330

Simulation Optimization Through Regression or Kriging Metamodels

Kleijnen, Jack P. C. - 2017

This chapter surveys two methods for the optimization of real-world systems that are modelled through simulation. These … experiment; this design fixes the input combinations of the simulation model. These regression models uses a sequence of local …-estimated through sequential designs. "Robust" optimization may use RSM or Kriging, and accounts for uncertainty in simulation inputs …

Persistent link: https://www.econbiz.de/10012956205

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