Small Response Surface Designs for Metamodel Estimation

Date

2003-01-01

Author

Batmaz, İnci

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

191
views

0
downloads

The primary objective of this study is to provide the novice researchers in simulation metamodeling with guidance on how to use small designs for metamodel estimation especially when cost effectiveness is a concern. This study was carried out in three phases: First, a group of second-order small designs were evaluated with respect to various criteria. Next, the metamodel of a time-shared computer system was estimated using these designs. Finally, the predictive capabilities of these small designs in giving the best metamodel fit were investigated, and also, the performance of small designs was compared with two large size standard designs. Results indicate that the metamodel estimated using the hybrid design has the best predictive capability among the small designs, and its performance competes with that of the standard designs studied

Subject Keywords

Management Science and Operations Research, Modelling and Simulation, Information Systems and Management

URI

https://hdl.handle.net/11511/43390

Journal

European Journal Of Operational Research

DOI

https://doi.org/10.1016/s0377-2217(02)00207-2

Collections

Department of Statistics, Article

Suggestions

OpenMETU
Core

A metamodeling methodology involving both qualitative and quantitative input factors Tunali, S; Batmaz, I (Elsevier BV, 2003-10-16) This paper suggests a methodology for developing a simulation metamodel involving both quantitative and qualitative factors. The methodology mainly deals with various strategic issues involved in metamodel estimation, analysis, comparison, and validation. To illustrate how to apply the methodology, a regression metamodel is developed for a client-server computer system. In particular, we studied how the response time is affected by the quantum interval, the buffer size. and the total number of terminals whe...
A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem Karasakal, Esra (Elsevier BV, 2017-12-01) In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The de...
Two-machine flow shop scheduling with two criteria: Maximum earliness and makespan Toktaş, Berkin; Azizoğlu, Meral; Köksalan, Suna Kondakci (Elsevier BV, 2004-09-01) In this study we address the problem of minimizing makespan and maximum earliness simultaneously in a two-machine flow shop environment. We develop a branch-and-bound procedure that generates all efficient solutions with respect to two criteria. We propose several lower and upper bounding schemes to enhance the efficiency of the algorithm. We also propose a heuristic procedure that generates approximate efficient solutions. Our computational results reveal that the branch-and-bound procedure is capable of s...
Manufacturing lead time estimation using data mining Ozturk, Atakan; Kayaligil, Sinan; Özdemirel, Nur Evin (Elsevier BV, 2006-09-01) We explore use of data mining for lead time estimation in make-to-order manufacturing. The regression tree approach is chosen as the specific data mining method. Training and test data are generated from variations of a job shop simulation model. Starting with a large set of job and shop attributes, a reasonably small subset is selected based on their contribution to estimation performance. Data mining with the selected attributes is compared with linear regression and three other lead time estimation metho...
AN APPROACH FOR FINDING THE MOST PREFERRED ALTERNATIVE IN THE PRESENCE OF MULTIPLE CRITERIA Köksalan, Mustafa Murat; TANER, OV (Elsevier BV, 1992-07-10) An interactive approach for discrete multiple criteria decision making problems is developed. The approach requires the decision maker to compare pairs of presented alternatives. These alternatives may be existing alternatives or dummy alternatives created from existing alternatives. Inferior alternatives are sequentially eliminated by either using the responses of the decision maker directly or by constructing cones of inferior solutions based on these responses. The approach converges to the most preferre...

Citation Formats

İ. Batmaz, “Small Response Surface Designs for Metamodel Estimation,” European Journal Of Operational Research, pp. 0–0, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43390.