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Photo of Dr Shuya Zhong

Dr Shuya Zhong

Lecturer in Engineering Management

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I joined the University of Exeter in 2020 as a Lecturer in the Engineering Management Group. I hold a PhD degree in Management Science and Engineering from Shanghai University. Prior to joining Exeter, I worked as a postdoctoral researcher at the Institute for Manufacturing, University of Cambridge (2018-20) and The Logistics Institute – Asia Pacific, National University of Singapore (2016-18). I accumulated research experience in logistics and supply chain management via collaborative research projects with colleagues from multiple disciplines and industrial partners spanning logistics, e-commerce, healthcare and hospitality in UK, China and Singapore. During the PhD, I visited the Institute for Risk and Uncertainty, University of Liverpool (2014-15), where I initiated the research thread operations and maintenance of offshore wind energy.

My research area is Operations Management, specialising in applying mathematical modelling and optimisation methodologies to improve operations efficiency, proactivity or sustainability in logistics and supply chain, offshore wind energy and manufacturing contexts. I aim to apply decision intelligence to empower operations under new environments.

Research interests

Mathematical modelling and optimisation applications

  • Logistics and supply chain management (warehouse control, order batching and assignment, inventory and transportation management, facility location-allocation, supplier selection, e-commerce)
  • Operations and maintenance of offshore wind energy (maintenance scheduling, cost and reliability analysis, sustainable operations, logistics, job grouping and assignment, risk/loss aversion)
  • Intelligent operations by robotics and automation (coordination among various automations/human)
  • Quality management (quality function deployment)

Methodologies

  • Multiple-criteria decision-making (multi-objective optimisation)
  • Uncertainty (fuzzy set theory, fuzzy random theory)
  • Computational intelligence (evolutionary algorithms, machine learning)

Research projects

IoT data integration platform for supply chain companies (01/2020-03/2021)

I am participanting in this mini-project under the Pitch-In project funded by Research England. The project is led by the University of Cambridge and collaborating with industrial partners in the UK Warehousing Association. I am investigating that how dynamic operational decision-making driven by the integration of IoT data with operational data can enhance operations performance in logistics scenarios.

PhD supervision

I am offering to supervise self-funded PhD students in any areas of interest above (especially in logistics and supply chain management or operations and maintenance of offshore wind energy) or beyond. I welcome inquiries from prospective PhD students to discuss PhD project ideas. You can find out more on the PhD funding page.