Zobrazeno 1 - 9 of 9 pro vyhledávání: '"Domingo Pavolo"'
1
Akademický článek
A SCHEDULING HEURISTIC FOR A CONVEYOR BELTING TWO-STAGE UNIFORM MACHINES HYBRID FLOW SHOP
Autor: Domingo Pavolo, Delson Chikobvu, Louis Lagrange
Publikováno v: Operational Research in Engineering Sciences: Theory and Applications, Vol 6, Iss 4 (2024)
Most production planning focuses on allocating resources to jobs in unoptimised schedules. In this work, a bi-weekly job scheduling ensemble of heuristics for optimising makespan is developed for a two-stage Hybrid-Flow-Shop (HFS) with two similar ma
Externí odkaz: https://doaj.org/article/c4a406b90605433693e54553fb4c5715
Zobrazit plný text záznamu
2
Akademický článek
A NOVEL ENSEMBLE BASE MODELS SELECTION APPROACH FOR ESTIMATING CREDIBLE RUBBER CONVEYOR BELTING CURE TIMES FROM A SMALL SAMPLE SIZE MRSM DATASET
Autor: Domingo Pavolo, Delson Chikobvu, Louis Lagrange
Publikováno v: Operational Research in Engineering Sciences: Theory and Applications, Vol 6, Iss 2 (2023)
Multiple response surface methodology (MRSM) is small sample dataset analytics in nature. There are experiences associated with small sample size dataset problems in regression models, model selection and generalisability of models that affect the MR
Externí odkaz: https://doaj.org/article/3d27c0c085eb46138245b531c920158c
Zobrazit plný text záznamu
3
Akademický článek
Estimating Rubber Covered Conveyor Belting Cure Times Using Multiple Simultaneous Optimizations Ensemble
Autor: Domingo Pavolo, Delson Chikobvu
Publikováno v: Operational Research in Engineering Sciences: Theory and Applications (2022)
Multiple response surface methodology (MRSM) has been the favorite method for optimizing multiple response processes though it has two weaknesses which challenge the credibility of its solutions. The first weakness is the use of experimentally genera
Externí odkaz: https://doaj.org/article/94ddbfabe1d045fb9cbe657970bf9474
Zobrazit plný text záznamu
4
A Practical Solution to the Small Sample Size Bias and Uncertainty Problems of Model Selection Criteria in Two-Input Process Multiple Response Surface Methodology Datasets
Autor: Delson Chikobvu, Domingo Pavolo
Publikováno v: Open Journal of Statistics. :109-142
Multiple response surface methodology (MRSM) most often involves the analysis of small sample size datasets which have associated inherent statistical modeling problems. Firstly, classical model selection criteria in use are very inefficient with sma
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9484205f52bf2237c607b8939dfa6f9a
https://doi.org/10.4236/ojs.2019.91010
Zobrazit plný text záznamu
8
Using criterion-based model averaging in two-input MRSM problems: investigating cloning of an under-fitted response model
Autor: Domingo Pavolo, Delson Chikobvu
Publikováno v: International Journal of Experimental Design and Process Optimisation. 6:201
Cloning of an under-fitted parent ordinary least squares response model using model averaging to combine its genetic ordinary least squares models is presented and investigated as a solution to the model's problem of parametric bias and variability w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3727c2f01ea4a6102e91c44f8a4d5bb2
https://doi.org/10.1504/ijedpo.2020.113555
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje