Jianjun Wang

Orcid: 0000-0003-0323-0365

Affiliations:

Nanjing University of Science and Technology, School of Economics and Management, China
Nanjing University of Science and Technology, Department of Management Science and Engineering, China

According to our database¹, Jianjun Wang authored at least 24 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2025

Monitoring right censored Weibull distributed lifetime with weighted adaptive CUSUM charts based on dynamic probability limits.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

2024

Multi-objective Bayesian modeling and optimization of 3D printing process via experimental data-driven method.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., June, 2024

Robust parameter design for 3D printing process using stochastic computer model.

[BibT_eX]

[DOI]

Simul. Model. Pract. Theory, 2024

Optimal design of adaptive EWMA monitoring schemes for the coefficient of variation and performance evaluation with measurement errors.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2024

Bayesian modeling and optimization for split-plot experiments with multiple responses.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2024

2023

Robust optimization for functional multiresponse in 3D printing process.

[BibT_eX]

[DOI]

Simul. Model. Pract. Theory, July, 2023

Robust multi-response surface optimisation based on Bayesian quantile model.

[BibT_eX]

[DOI]

Int. J. Prod. Res., May, 2023

2022

Bayesian robust parameter design for ordered response.

[BibT_eX]

[DOI]

Shijuan Yang

Jianjun Wang

Yiliu Tu

Int. J. Prod. Res., 2022

Economic quality design under model uncertainty in micro-drilling manufacturing process.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2022

Multi-stage online robust parameter design based on Bayesian GP model.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2022

Multi-response robust optimization using GP model with variance calibration.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2022

2021

Life-cycle reliability-based robust design optimization for GP model with response uncertainty.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2021

A novel approach for non-normal multi-response optimisation problems.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2021

Simultaneous multi-response optimisation for parameter and tolerance design using Bayesian modelling method.

[BibT_eX]

[DOI]

Jianjun Wang

Ting Mao

Yiliu Tu

Int. J. Prod. Res., 2021

Robust parameter design based on Gaussian process with model uncertainty.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2021

2020

Integrated multiresponse parameter and tolerance design with model parameter uncertainty.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2020

Multi-response online parameter design based on Bayesian vector autoregression model.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2020

Bayesian modeling and optimization for multi-response surfaces.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2020

2019

Economic parameter design for ultra-fast laser micro-drilling process.

[BibT_eX]

[DOI]

Int. J. Prod. Res., 2019

Robust Parameter Design of Functional Responses Based on Bayesian SUR Models.

[BibT_eX]

[DOI]

Proceedings of the 18th Wuhan International Conference on E-Business, 2019

2017

A new loss function for multi-response optimization with model parameter uncertainty and implementation errors.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2017

2016

A Prediction Region-based Approach to Model Uncertainty for Multi-response Optimization.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., 2016

A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2016

2013

Bayesian Analysis of Two-Level Fractional Factorial Experiments with Non-Normal Responses.

[BibT_eX]

[DOI]

Jianjun Wang

Yizhong Ma

Commun. Stat. Simul. Comput., 2013

Jianjun Wang

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