Doctoral Researchers in OSCM

Tigar Putri Adhiana

In order to enhance sales and remain competitive against other firms and products, many businesses adopt a bundling strategy. Bundling is a selling strategy involving selling two or more products or services together.

In addition, with dynamic changes in the market, it is important for companies to set the right prices for their products and services. Thus, this research focuses on identifying bundling trends, including product and service bundling.

Furthermore, this research also investigates the bundling types and pricing strategies in the supply chain with several considerations and decisions that can optimize customer satisfaction, the performance of all of the entities in the supply chain, and the performance of the supply chain as a whole.

• 1^st Supervisor: Professor Dongping Song
• 2^nd Supervisor: Dr Eunice Guo
• 3rd Supervisor: Dr Yuanjun Feng

Nader Alshammari

N.Alshammari2@liverpool.ac.uk

Advancing Predictive Analytics for Decision Support in Container Shipping Supply Chain (CSSC)

• 1st Supervisor: Professor Dongping Song
• 2nd Supervisor: Dr Daniel Xing
• 3rd Supervisor: Dr Yuanjun Feng

Büşra Bayrak

With continuous technological advancements, e-waste is steadily increasing due to the short product life cycles.

Ensuring sustainability is of utmost importance for the preservation of valuable resources. In this context, closed-loop supply chains have emerged as a solution.

Customer returns play a pivotal role in this process, serving as a valuable source for generating new products while reducing dependency on new resources.

This study delves into the implementation of viable recovery strategies, considering customer returns, and employs pricing decisions to strike a balance between profitability and sustainability.

• 1^st Supervisor: Professor Jason Choi
• 2^nd Supervisor: Dr Eunice Guo

Syed Muhammad Shahmeer Haider

S.Haider2@liverpool.ac.uk

Uncovering Hidden Preferences in Logistics Planning with Data Science

In my PhD research, I am investigating how to bridge the gap between automated logistics software and the "hidden" expertise of human planners. While modern algorithms are excellent at calculating routes to minimize fuel and distance, they often miss the subtle, real-world nuances such as specific driver preferences or local traffic quirks that experienced humans understand instinctively. My work focuses on analysing the manual changes these planners make to computer-generated plans to uncover the underlying motivations behind their adjustments. By using machine learning to identify these patterns, I aim to refine existing algorithms so they can better integrate human wisdom with data-driven efficiency. 

• 1st Supervisor: Professor Tolga Bektas
• 2nd Supervisor: Dr Huadong Yang
• 3rd Supervisor: Dr Burak Boyaci (external)

Peiyi Liang

Peiyi.Liang@liverpool.ac.uk

Advancing Net-Zero Operations in Supply Chains with the Enabling Technology: Game-Theoretical Modelling Studies

My research mainly focuses on net-zero operations, especially combining with the enabling technology (digital technology and carbon-related technology). My research approach is game theoretical modelling (with mathematics)

• 1st supervisor: Professor Jason Choi
• 2nd supervisors: Dr Eric Leung and Dr Zhen Xu

Meiting Lin

M.Lin14@liverpool.ac.uk

The Impact of Firms' AI Adoption on Their Performance in a Supply Chain Setting

• 1st Supervisor: Professor Hugo Lam
• 2nd Supervisor: Professor Jason Choi

Ahmad F.M. Mah'd

The PhD research explores the intersection of supply chain, sustainability, and Blockchain technology.

The primary focus is on understanding the critical factors that influence the emergence of innovative business models that enhance sustainability in the supply chain through the implementation of Blockchain.

The study aims to uncover the intricate dynamics that shape the effectiveness of Blockchain in enhancing sustainability practices within the supply chain.

Furthermore, in the supply chain domain, the research explores the landscape of developed sustainability strategies, frameworks, or interventions that leverage Blockchain.

• 1^st Supervisor: Dr Dong Li
• 2^nd Supervisor: Dr Gopalakrishnan Narayanamurthy

Josh Marriott

An overwhelming 25% of the global e-commerce carbon footprint is owing to the reverse logistic process. In order to sustain the influx of product returns, retailers and logistic providers must endeavour to implement robust, innovative supply chain networks.

Reverse logistics, in particular, has the ability to increase the recovery value of returned products, prevent product decay and also ensure of safe disposal.

This research will investigate last-mile solutions in order to decarbonise the reverse network of fashion e-commerce retailers

• 1^st Supervisor: Professor Tolga Bektas
• 2^nd Supervisor: Dr Eric Leung
• 3^rd Supervisor: Professor Andy Lyons

Shivani Mishra

Shivani.Mishra@liverpool.ac.uk

AI-enabled integration across supply chain operations interfaces.

This PhD research analyses the artificial intelligence and generative AI in transforming the cross-functional integration in the supply-chain operations with specific focus on marketing responsiveness, financial management, accounting control, and data governance.  While AI adoption in supply chains is predicted to increase at an average rate of 45.6% per year, with the early adopters claiming a 15% cost reduction, a 35% inventory decrease and a 65% service improvement, a significant number of organisations still find it difficult to bring AI together, hence, endangering the development of disjointed solutions, which do not provide a competitive advantage.  By theorising AI as a boundary-spanning capability rather than a functional tool, this study establishes a model by which a coordinated, value-producing adoption can be achieved at organisational interfaces.  

The research fills the gap between theory and practice, providing managers with practical knowledge on how to get through the digital transformation.  Future phases of this study will validate findings based on the quantitative data in the industry, and it will be possible to implement AI-based investment strategies and resilience planning in the complex global supply chain.

• 1st supervisor: Professor Jason Choi
• 2nd supervisor: Dr Eric Leung

Ganapathy Muthuthandavam

G.Muthuthandavam@liverpool.ac.uk

Influence of plastic packaging tax on business and supply chain sustainability: learning for the future UK environmental policies

• 1st Supervisor: Dr Gopalakrishnan Narayanamurthy
• 2nd Supervisor: Professor Andy Lyons

Seyma Onal

S.Onal@liverpool.ac.uk

Enhancing Energy Efficiency and Decarbonisation in Maritime Logistics: A Focus on Port-Hinterland Operations

My PhD research examines how port–hinterland freight transport can be decarbonised and made more energy efficient through modal shift and improved transport planning. It focuses on optimising the integration of lower-carbon modes (e.g., rail and inland waterways) within port–hinterland networks, and assesses how digitalisation, policy frameworks, and decarbonisation incentives (including electrification and hydrogen solutions) can enable this transition. Using optimisation techniques and data analytics, the research aims to develop practical strategies to reduce energy use and carbon emissions across port–hinterland transport chains.

• 1st supervisor: Professor Dongping Song
• 2nd supervisor: Dr Cagatay Iris

Ekin Ozgurbuz

My research focuses on the application of distributionally robust optimisation techniques to solve network design and facility location problems under scarce data and uncertain parameter environments in the field of logistics and supply chain management.

I am particularly interested in topics such as operations research, combinatorial optimisation, mixed-integer programming, simulation, and stochastic processes. Prior to my PhD, I completed my bachelor's and master's degrees in Industrial Engineering at Boğaziçi University.

I am passionate about exploring innovative approaches to address complex logistics challenges and contribute to the advancement of supply chain optimisation.

• 1^st Supervisor: Professor Tolga Bektas
• 2^nd Supervisor: Dr Cagatay Iris
• 3rd Supervisor: Dr Grigorios Kasapidis

Ankur Kumar Pandey

A.Pandey4@liverpool.ac.uk

AI-Enabled Regenerative Global Supply Network Design and Assessment

• 1st Supervisor: Professor Andy Lyons
• 2nd Supervisor: Dr Shenghao Xie

Louise Postema

My research focuses on private sector investments in smallholder climate change adaptation.

Specifically, I will look at how investments in smallholder adaptation can be financially viable supply chain risk management strategies for agri-food companies procuring from these farmers.

This includes understanding risk management decision-making and influencing factors, enabling financial instruments and effective implementation mechanisms.

• 1st Supervisor: Dr Hugo Lam
• 2nd Supervisor: Professor Andrew Lyons