Chixiao Lu
Academic and research departments
Surrey Business School, Business Analytics and Operations, Centre for Business Analytics in Practice research.About
My research project
Data Envelopment Analysis and its extension in the context of Railway industryThis project aims to develop a decision support system for the railway industry based on the nonparametric frontier-based approach. From the theory perspective, this project extends the existing literature to increase the discriminate power of the Data Envelopment Analysis (DEA) model and solve the biased outcome issue caused by exterior projection points. From the practice perspective, this project builds a framework to evaluate the sustainability and operations performance of the railway industry while considering the disposability of undesirable outputs (air pollution, noise pollution). The project also endogenizes the merger choice in the Railway industry by maximizing the overall potential efficiency gain (both profit and sustainability efficiency) with multiple branches.
Supervisors
This project aims to develop a decision support system for the railway industry based on the nonparametric frontier-based approach. From the theory perspective, this project extends the existing literature to increase the discriminate power of the Data Envelopment Analysis (DEA) model and solve the biased outcome issue caused by exterior projection points. From the practice perspective, this project builds a framework to evaluate the sustainability and operations performance of the railway industry while considering the disposability of undesirable outputs (air pollution, noise pollution). The project also endogenizes the merger choice in the Railway industry by maximizing the overall potential efficiency gain (both profit and sustainability efficiency) with multiple branches.
ResearchResearch interests
Chixiao Lu's research interest lies within the fields of Performance Measurement and Sustainability Analytics with particular emphasis on Network Data Envelopment Analysis, Inverse Data Envelopment Analysis, Disposability of the undesirable outputs.
Research projects
Improving Reconfigurability of UK Supply ChainThe aim of this research project is to create practicable methodologies for designing Reconfigurable SC that are resilient, cost effective, responsive, sustainable and able to respond to internal and external factors caused by malicious or natural events via the implementation of OR, BA and MS techniques.
Responsive Additive Manufacture to Overcome Natural and Attack-based disruption (RAMONA)This research focuses specifically on additive manufacturing supply chains as part of a responsive manufacturing system, to address the significant security challenges within manufacturing supply chains to ensure greater levels of supply chain resilience for both UK and global manufacturing. In particular, this would address the call from Additive Manufacturing UKs (2017) UK National Strategy Report for AM, where they highlighted a critical challenge is to address security related challenges in AM production, with the importance of this increasing if production is to be distributed and responsive to emergent changes within the system, such as an adversary infiltrating elements of the supply chain.
Research collaborations
Conference and Workshop
December, 2022. 16th Annual International Conference on Global Studies: Business, Economic, Political, Social and Cultural Aspects
May, 2024. Performance Analytics, AI, and Sustainability Workshop.
June, 2024 33rd European Conference on Operational Research (Session Chair of DEA applications in transportation)
Research interests
Chixiao Lu's research interest lies within the fields of Performance Measurement and Sustainability Analytics with particular emphasis on Network Data Envelopment Analysis, Inverse Data Envelopment Analysis, Disposability of the undesirable outputs.
Research projects
The aim of this research project is to create practicable methodologies for designing Reconfigurable SC that are resilient, cost effective, responsive, sustainable and able to respond to internal and external factors caused by malicious or natural events via the implementation of OR, BA and MS techniques.
This research focuses specifically on additive manufacturing supply chains as part of a responsive manufacturing system, to address the significant security challenges within manufacturing supply chains to ensure greater levels of supply chain resilience for both UK and global manufacturing. In particular, this would address the call from Additive Manufacturing UKs (2017) UK National Strategy Report for AM, where they highlighted a critical challenge is to address security related challenges in AM production, with the importance of this increasing if production is to be distributed and responsive to emergent changes within the system, such as an adversary infiltrating elements of the supply chain.
Research collaborations
Conference and Workshop
December, 2022. 16th Annual International Conference on Global Studies: Business, Economic, Political, Social and Cultural Aspects
May, 2024. Performance Analytics, AI, and Sustainability Workshop.
June, 2024 33rd European Conference on Operational Research (Session Chair of DEA applications in transportation)