Zhenyong Wu

Orcid: 0000-0002-2918-8620

According to our database1, Zhenyong Wu authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Correction: Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective.
Ann. Oper. Res., April, 2024

2022
Service-oriented knowledge recommender system and performance evaluation in industrial product development.
Int. J. Prod. Res., 2022

2021
A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain.
Int. J. Prod. Res., 2021

2020
Knowledge recommendation for product development using integrated rough set-information entropy correction.
J. Intell. Manuf., 2020

Product Development-Oriented Knowledge Service: Status Review, Framework, and Solutions.
IEEE Access, 2020

Process Knowledge Recommendation System for Mechanical Product Design.
IEEE Access, 2020

2019
Knowledge recommender system for complex product development using ontology and vector space model.
Concurr. Eng. Res. Appl., 2019

2018
Cross-network dissemination model of public opinion in coupled networks.
Inf. Sci., 2018

Ontological knowledge integration and sharing for collaborative product development.
Int. J. Comput. Integr. Manuf., 2018

Semantic hyper-graph-based knowledge representation architecture for complex product development.
Comput. Ind., 2018

2017
Product lifecycle-oriented knowledge services: Status review, framework, and technology trends.
Concurr. Eng. Res. Appl., 2017

Quantification and integration of an improved Kano model into QFD based on multi-population adaptive genetic algorithm.
Comput. Ind. Eng., 2017

2015
Modularizing product extension services: An approach based on modified service blueprint and fuzzy graph.
Comput. Ind. Eng., 2015

2014
A rough TOPSIS Approach for Failure Mode and Effects Analysis in Uncertain Environments.
Qual. Reliab. Eng. Int., 2014

2013
Failure modes and effects analysis using integrated weight-based fuzzy TOPSIS.
Int. J. Comput. Integr. Manuf., 2013


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