Kriging models for payload distribution optimisation of freight trains-Reference-Cited by-同舟云学术

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Kriging models for payload distribution optimisation of freight trains

Published:2016-12-22 Issue:17 Volume:55 Page:4878-4890
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Arcidiacono Gabriele¹^ORCID,Berni Rossella²,Cantone Luciano³,Placidoli Pierpaolo¹

Affiliation:

1. Department of Innovation & Information Engineering, G. Marconi University, Rome, Italy.

2. Department of Statistics, Computer Science, Applications “G. Parenti”, University of Florence, Florence, Italy.

3. Department of Engineering for Enterprise “Mario Lucertini”, University of Rome “Tor Vergata”, Rome, Italy.

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1268275

Reference31 articles.

1. Guidelines for defining a design standard for an electrical steering system

2. Simulated experimental design used to define the characteristic curves of car shock-absorbers

3. Operating room adjusted utilization study

4. Exact optimal designs for computer experiments via Kriging metamodelling

5. Design and analysis for the Gaussian process model

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1. Hierarchical optimal designs and modeling for engineering: A case‐study in the rail sector;Applied Stochastic Models in Business and Industry;2022-08-17

2. Applying a Python script to predict the geotechnical properties of the Nasiriyah soil;IOP Conference Series: Earth and Environmental Science;2022-01-01

3. Improvement of Kriging interpolation with learning kernel in environmental variables study;International Journal of Production Research;2020-12-16

4. Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains;Journal of Applied Statistics;2020-02-26

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