Hasan Khan

PhD Researcher in Supply Chain Management

Cranfield University | Jaguar Land Rover

Hasan Khan

About

Hasan Khan is a Doctoral Researcher (PhD Candidate) at Cranfield University, specialising in data-driven decision-making, supply chain analytics, and AI-enabled optimisation in complex operational systems. His research sits at the intersection of operations, analytics, and strategy, focusing on developing decision-support systems that enhance organisational resilience, risk management, and performance in global supply networks.

His doctoral research is part of a fully funded industrial collaboration with the largest premium automotive manufacturer in the UK, where he works closely with senior stakeholders to develop analytical and machine learning-based frameworks for supplier risk assessment, monitoring, and mitigation. His work also explores horizon scanning and predictive approaches to manage disruptions in the transition towards electrified supply chains.

Hasan holds an MSc in Global Logistics, Operations & Supply Chain Management (Distinction) from Northumbria University, where his research focused on Industry 4.0 digitalisation to enhance supply chain resilience. He brings over seven years of industry experience across supply chain operations, procurement, risk management, and business intelligence, including roles with John Lewis & Partners and leadership experience as Chief Operating Officer in a large-scale printing and publishing organisation.

Alongside his research, Hasan contributes to postgraduate teaching at Cranfield University, delivering modules in analytics, supply chain strategy, sustainability, and risk. He supervises MSc dissertations (RQF 7) and delivers simulation-based workshops, including Executive MBA sessions. As an Associate Fellow of Higher Education Academy (AFHEA), he demonstrates commitment to effective and inclusive teaching practice.

His interests lie in applying analytics, AI, and optimisation to solve complex business problems, particularly in areas such as supply chain resilience, digital transformation, circular economy, and strategic decision-making.

Research Interests

Supply Chain Risk Management Supply Chain Resilience Procurement Decisions Supply Chain Analytics Machine Learning Applications Operations & Logistics Modelling Network Analysis Sustainability & Circular Economy

Experience

Risk Researcher and Analyst

Jaguar Land Rover (JLR)

September 2023 – Present

  • Developing a multi-dimensional supplier risk management framework
  • Establishing a comprehensive risk map for supply chain risk management
  • Developing procurement decision-support framework and climate risk assessment tools
  • Developing risk assessment decision-support systems for multi-tier supplier network
  • Benchmarking data providers and exploring contract improvements

Recognised Teacher (Teaching Assistant)

Cranfield University

September 2024 – Present

  • Delivering lectures and marking assessments for MSc supply chain courses across multiple modules
  • Modules: Analytical techniques in supply chain, Supply chain risk and resilience, Supply chain strategy and sustainability, Operations planning, Freight transport and management
  • Supervision of MSc students' dissertation/thesis projects (RQF 7)
  • Organising workshops on simulation games for MBA and MSc cohorts

Research Assistant

RoboTriage Project, EPSRC £1.8m, Cranfield University & University of Birmingham

September 2025 – 2028

  • Creating robotic systems for triage operations in circular economy contexts
  • Development of triage criteria and circularity scoring system
  • Modelling and optimising sustainable value for triage
  • Business model innovation for circularity triage

Teaching Assistant

MK: U

May 2024 – Present

  • Facilitating teaching sessions across supply chain, data analytics and programming modules
  • Supporting development of course content for problem-based learning

Operations Executive

John Lewis and Partners

August 2021 – August 2023

  • Inventory management & control, enterprise resource planning
  • Project development and process optimisation
  • Stock management, order allocation and warehouse space allocation
  • Vehicle routing for deliveries and last mile optimisation

Senior Operations Executive

Dropless Ltd UK

January 2022 – July 2022

  • Managed team of 31 ground operatives and technicians
  • Customer service management through KPI analysis
  • Supply chain and demand management via cross-functional collaboration

Education

PhD – Logistics, Procurement and Supply Chain Management

Cranfield University, United Kingdom

September 2023 – Present (Expected completion: August 2026)

Thesis: Supplier risk management: developing a multi-dimensional decision support system for the UK automotive industry

MSc – Global Logistics, Operations and Supply Chain Management with Advanced Practice

Northumbria University Newcastle, United Kingdom

January 2021 – January 2023

Thesis: Industry 4.0 technologies integration in supply chain resilience: a case study of the UK automotive industry

BSc – Industrial and Production Engineering

Ahsanullah University of Science and Technology

January 2015 – September 2019

Thesis: Pulse jet machining of hardened steel (HRC-44)

Publications

Journal Articles

Managing supplier risk through procurement decisions: a decision-making framework for the automotive industry
Journal of Cleaner Production
Under review
An Information Processing Theory-informed Delphi-AHP approach to assess and manage supplier risks in the automotive industry
Expert Systems with Applications
Under review
Operationalising Information Processing Theory for Supplier Climate Risk Assessment: An ANP–Delphi Decision Support System
Journal of Operational Research Society
Under review

Book Chapters

Chapter 5, Supply Chain Risk and Resilience
Logistics Management and Strategy, 7th edition by Heather Skipworth, Remko van Hoek, and Alan Harrison
Publisher: Pearson | Ranked as one of the top ten supply chain books of all time

Conference Papers

How can automotive supplier risk exposure be managed and reduced through procurement decisions?
Logistics Research Network 2024
Assessing ESG risks in a multi-tier automotive supplier network through network analysis
EUROMA 2025
Value retention through the Circularity Triage system: a novel assessment method for the Circular Economy
EUROMA 2026
Operationalising Information Processing Theory for Supplier Climate Risk Assessment: An ANP–Delphi Decision Support System
ICDSST 2026 Plymouth

Skills

Research Methods

Qualitative Methods Quantitative Methods Mixed Methods Case Study Systematic Literature Review Delphi Method Machine Learning Network Analysis Multi-Criteria Decision Analysis Statistical Modelling

Software & Tools

Python SQL Microsoft Excel (Advanced) IBM SPSS MATLAB Power BI Tableau NVivo Minitab Zendesk HubSpot STATA SolidWorks

Professional Accreditations

Associate Fellow of Higher Education Academy (AFHEA) Lean Six Sigma Black Belt Microsoft Excel for Data Analytics and Data Science AI Prompt Engineer (Certified) Python for Data Science, AI and Business Development (advanced) Member - EUROMA Member - Chartered Institute of Logistics & Transportation (CILT)

Contact

Phone

+44 07919 621403

Location

London, United Kingdom