PhD in Supply Chain & Operations Management From Euro Asian University

Earn the most prestigious title in your career and develop leadership skills suited to today’s global business challenges. This online DBA program empowers you to innovate and lead at the highest levels.

Type

Doctorate

Start Date

May 03, 2025

Duration

36 Months

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Mouthshut

About Program

This course was designed to empower experienced professionals with advanced knowledge and research skills to enable them to drive innovation. Upon completion, learners will be awarded an DBA degree from Euro Asian, Geneva.

Key Highlights

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Course Curriculum

1. Supply Chain Strategy and Design

Study global supply chain networks focusing on design, optimization, risk management, sustainability, and digital transformation. Explore interorganizational coordination, resilience strategies, geopolitical impacts, logistics infrastructure, and technology integration like AI and blockchain. Understand theoretical models, empirical analysis, and policy implications to address complex global sourcing, distribution, and supply disruptions.

Supply Chain Risk Management includes risk identification, assessment, and mitigation strategies, disruption modeling, resilience building, global risk factors, quantitative risk analysis, and the role of digital technologies. Emphasis is placed on empirical research, decision-making under uncertainty, and integrating risk management into strategic supply chain planning.

Learn key supply chain performance metrics such as cost, service level, inventory turnover, order accuracy, and lead time. Understand strategic alignment, metric interdependencies, benchmarking, data analytics, and their role in decision-making, sustainability, resilience, and continuous improvement across global supply networks.

Learn about green logistics, circular economy, risk management, digital technologies (e.g., blockchain, AI), supplier collaboration, regulatory compliance, ethical sourcing, lifecycle assessment, disruption recovery, and performance metrics. Emphasis should be on strategic integration, systems thinking, and modeling for long-term environmental and operational sustainability.

2. Operations Strategy

Learn how operational strategies create sustainable competitive advantage, focusing on cost leadership, differentiation, and responsiveness. Study process innovation, capacity management, lean systems, and supply chain integration. Explore the role of technology, quality, and agility in driving performance. Analyze frameworks linking operations capabilities to firm strategy and long-term value creation.

Learn to analyze long-term capacity decisions aligning with strategic goals. Study demand forecasting, capacity measurement, resource optimization, bottleneck management, and risk mitigation. Understand capacity’s impact on cost, service levels, and competitiveness. Explore quantitative models, scenario planning, and real-world applications across industries for sustainable and resilient supply chain performance.

Learn Lean and Agile principles, waste reduction, continuous improvement (Kaizen), Just-in-Time (JIT), value stream mapping, flexibility, responsiveness, and integration of customer demand. Emphasis should be on aligning lean efficiency with agile adaptability to manage uncertainty and drive strategic operational excellence.

Learn operational capabilities for competitive advantage, integrating innovation into supply chain processes, optimizing resource utilization, fostering continuous improvement, aligning innovation with strategic goals, and using data analytics to drive process and product innovation.

3. Logistics and Transportation Management

Learn about optimization models, network flow theory, facility location planning, multimodal transport integration, cost-service tradeoffs, environmental impact, resilience, demand forecasting, and data-driven decision-making in transportation network design. Emphasize real-world applications, algorithmic approaches, and strategic planning for efficient logistics.

Study inventory control models (EOQ, JIT, safety stock), demand forecasting, warehouse design and layout, automation, inventory accuracy, cost optimization, and integration with supply chain networks. Understand strategic roles of warehousing, technology applications (WMS, RFID), risk management, sustainability, and data-driven decision-making for efficient inventory and warehouse operations.

Study route optimization algorithms, delivery time windows, urban logistics, real-time tracking technologies, crowdshipping, and autonomous delivery systems. Analyze cost-efficiency, sustainability, customer satisfaction, and data-driven decision-making. Explore AI, IoT, and blockchain applications. Evaluate trade-offs in service levels, inventory placement, and transportation modes to optimize last-mile delivery in complex networks.

Learn about freight cost modeling, mode selection criteria, multimodal transport analysis, environmental impact, risk management, decision-making frameworks, optimization techniques, technology integration (e.g., IoT, AI), regulatory influences, and the strategic alignment of freight decisions with supply chain performance and sustainability goals.

4. Procurement and Sourcing

Learn about strategic sourcing frameworks, make-or-buy decisions, supplier segmentation, total cost of ownership, risk management, global sourcing strategies, relationship governance, sustainability integration, digital sourcing tools, and the impact of sourcing models on firm competitiveness and supply chain resilience.

Learn about strategic partnerships, supplier evaluation, risk management, contract negotiation, trust-building, performance metrics, innovation collaboration, digital integration, sustainability practices, and global sourcing complexities. Emphasis should be on theoretical frameworks, empirical research, and advanced analytical tools to enhance supply chain resilience and competitive advantage.

Learn about strategic evaluation of core competencies, transaction cost economics, risk analysis, supply chain integration, cost-benefit analysis, vendor capabilities, long-term implications, governance mechanisms, and innovation potential. Also study decision-making models, quantitative tools, and empirical research methods to analyze real-world outsourcing and insourcing scenarios.

Learn about Contracting and Negotiation include contract design, risk allocation, incentive alignment, negotiation strategies, supplier relationship management, legal frameworks, performance metrics, conflict resolution, behavioral dynamics, and ethical considerations to enhance collaboration, efficiency, and resilience across supply chain networks.

5. Demand Forecasting and Planning

Learn key quantitative forecasting techniques such as time series analysis, causal models, and regression analysis. Focus on accuracy measures, model selection, and demand forecasting applications. Emphasize their role in supply chain planning, inventory control, and decision-making under uncertainty. Understand software tools and data-driven insights for operational efficiency and strategy.

Learn about S&OP’s strategic integration of demand and supply planning, cross-functional collaboration, data-driven decision-making, forecasting methods, capacity planning, financial alignment, and performance metrics. Explore its impact on organizational agility, risk management, and competitiveness. Emphasize advanced modeling, optimization, and real-world implementation challenges in complex supply chain environments.

Learn about CPFR's theoretical foundations, integration of supply chain partners, demand forecasting models, data sharing mechanisms, replenishment strategies, performance metrics, implementation challenges, technological enablers, and its impact on supply chain efficiency, agility, and collaboration across multi-tiered networks.

Learn about demand sensing techniques using real-time data, machine learning, and AI. Study demand shaping strategies like pricing, promotions, and product availability. Explore their integration into forecasting models, impact on inventory optimization, responsiveness, and alignment with supply chain agility and resilience.

6. Operations Research and Quantitative Methods

Learn about modeling optimization problems using linear and integer programming. Learn formulation techniques, duality theory, sensitivity analysis, and solution algorithms like simplex and branch-and-bound. Apply these to network design, inventory optimization, production planning, and logistics for real-world supply chain decisions.

Learn about key aspects of simulation modeling such as discrete-event simulation, system dynamics, agent-based modeling, and optimization techniques. Understand model validation, sensitivity analysis, and how to apply simulations for decision-making, risk analysis, and performance optimization in complex systems.

Learning about stochastic processes involves understanding randomness in supply chain systems. Key areas include demand variability, inventory control, queuing models, and forecasting. You'll explore how randomness impacts decision-making, performance, optimization, and risk management in supply chain operations.

You will learn to understand decision-making under uncertainty, optimization techniques, strategic interactions, Nash equilibrium, risk analysis, and competitive behavior. Learn how these concepts apply to supply chain coordination, inventory management, pricing strategies, and negotiations.

7. Technology and Digital Supply Chains

Learn about data-driven decision-making, predictive modeling, and optimization techniques using AI in supply chain. Learn about machine learning algorithms, big data analytics, demand forecasting, inventory management, and AI-based supply chain simulations to drive efficiency, risk management, and strategic decision-making in operations.

Understand IoT's role in enhancing real-time data collection, improving supply chain visibility, enabling predictive analytics, optimizing inventory management, facilitating automation, and enabling smart logistics, ultimately driving efficiency, responsiveness, and decision-making across supply chain processes.

In the context of Supply Chain and Operations Management, learning blockchain for transparency involves understanding its role in enhancing traceability, reducing fraud, improving data integrity, and enabling real-time tracking of goods. Additionally, studying smart contracts, decentralized ledger systems, and their application in optimizing supply chain efficiency and accountability is crucial.

In ERP and Supply Chain Integration Systems, focus on understanding how ERP systems facilitate real-time data sharing, improve decision-making, and optimize supply chain processes. Study integration techniques, system design, impact on inventory management, demand forecasting, supplier coordination, and how ERP enhances collaboration across different functional areas in operations.

8. Inventory and Production Management

In ERP and Supply Chain Integration Systems, focus on understanding how ERP systems facilitate real-time data sharing, improve decision-making, and optimize supply chain processes. Study integration techniques, system design, impact on inventory management, demand forecasting, supplier coordination, and how ERP enhances collaboration across different functional areas in operations.

For a PhD in Supply Chain and Operations Management, focus on the strategic role of Just-in-Time (JIT) in reducing waste, improving efficiency, and enhancing flow. Study Kanban as a visual system for managing inventory and production. Emphasize advanced applications, integration with lean principles, and impact on supply chain performance.

Focus on understanding the integration of Material Requirements Planning (MRP) and Enterprise Resource Planning (ERP) systems. Learn their roles in inventory management, demand forecasting, production scheduling, and resource allocation. Study their impact on operational efficiency, decision-making, and supply chain optimization.

Focus on understanding the integration of Material Requirements Planning (MRP) and Enterprise Resource Planning (ERP) systems. Learn their roles in inventory management, demand forecasting, production scheduling, and resource allocation. Study their impact on operational efficiency, decision-making, and supply chain optimization.

9. Sustainability and Ethics in Supply Chains

In Green Supply Chain Management (GSCM), focus on sustainable practices, environmental impact assessment, eco-friendly sourcing, waste reduction, reverse logistics, and carbon footprint management. Investigate the integration of sustainability into supply chain strategies, regulatory compliance, innovation in green technologies, and the financial implications of green initiatives in operations management.

Understand circular economy principles within supply chain management (SCM), such as resource optimization, waste reduction, reverse logistics, sustainable sourcing, and business model innovation. Investigate strategies for integrating circular practices into operations, assessing their impact on cost, efficiency, and long-term sustainability.

Understand the principles of ethical sourcing, including labor rights, environmental sustainability, and fair trade practices. Study global compliance frameworks, risk assessment strategies, and the impact of ethical sourcing on supply chain performance, reputation, and legal compliance.

Understand carbon footprint measurement, life cycle assessment (LCA) techniques, and their integration into supply chain decision-making. Study carbon reduction strategies, environmental impact evaluation, and sustainable sourcing. Explore models for optimizing operations to minimize environmental costs and improve sustainability.

10. Research Methods and Academic Writing

Learn how to design and conduct both quantitative (statistical analysis, modeling, optimization) and qualitative (case studies, interviews, grounded theory) research. This includes data collection, analysis techniques, and the application of these methods to real-world supply chain problems.

Focus on formulating research questions, choosing appropriate methodologies (qualitative, quantitative, or mixed methods), data collection techniques, and analysis tools. Understand experimental designs, case studies, surveys, and simulations. Emphasize validity, reliability, sampling, and ethical considerations to ensure robust, actionable insights in Supply Chain and Operations Management.

Focus on mastering clear, concise scientific writing, structuring research papers, and understanding journal submission processes. Learn to critically analyze literature, write for specific audiences, handle peer review feedback, and ensure compliance with ethical standards in publishing.

Focus on mastering data collection methods (surveys, sensors, transaction logs), statistical analysis (regression, time-series), and optimization tools (Excel, R, Python). Learn how to use software like SPSS, SAS, or MATLAB for data analysis and decision modeling to improve operations efficiency.

Program Highlights

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1000+ Hours of Content

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600+ Live Sessions

500+ Doubt Sessions

100+ One-on-one Sessions

Mini Tasks

100+ Mini Tasks

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50+ Live Projects

50+ Technical Blogs

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50+ Research Paper Study

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50+ Assignments

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50+ Case Studies

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20+ Group Discussions

10+ Specializations

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10+ Guest Lectures

10+ Industry Leader Sessions

Doctoral Dissertation / Thesis

Conduct original research to address a real-world business problem. Learn to formulate research questions, apply theoretical frameworks, and contribute to academic and professional knowledge. Every Learner will go through these following six simple steps to complete their Thesis with the help of a Professional Expert.

Step 1: Introduction to Problem Statement

  • Background of the study
  • Problem statement
  • Research questions/objectives
  • Significance of the study
  • Scope and limitations
  • Structure of the dissertation

Step 2: Defining a Proper Methodology

  • Research philosophy (e.g., positivist, interpretivist)
  • Research design (qualitative, quantitative, or mixed)
  • Data collection methods (surveys, interviews, case studies, etc.)
  • Sampling techniques, and Data analysis techniques
  • Validity, reliability, and ethical considerations

Step 3: Literature Review of the Problem

  • Theoretical framework
  • Review of relevant literature
  • Gap in existing research
  • Conceptual model (if any)

Step 4: Data Analysis and Findings

  • Presentation of data
  • Thematic analysis, statistical analysis, or both
  • Discussion of key findings in relation to research questions

Step 5: Discussion about major Findings

  • Interpretation of findings
  • Comparison with literature
  • Practical/business implications
  • Theoretical implications

Step 6: Conclusion and Recommendations

  • Summary of key findings
  • Contributions to knowledge and practice
  • Limitations of the study
  • Suggestions for future research

What Our Learners Have To Say About Us

Pursuing my Doctorate in Business Administration was more than just an academic pursuit—it was a transformational journey. The research support and global exposure helped me establish myself as a thought leader in strategic management.

Joshua Lane
Dr. Joshua Lane

I come from a tech background, but this PhD in Digital Transformation helped me pivot into academia while continuing to consult for Fortune 500 companies. It’s the best of both worlds.

Dr. Austin Hayes

As a healthcare administrator, I never imagined myself diving deep into research. But this doctoral course allowed me to explore policy, innovation, and data-driven leadership in a whole new light.

Priya Verma
Dr. Priya Verma

The flexibility of the program allowed me to pursue my doctorate while leading a nonprofit organization. The global faculty helped sharpen my focus on social entrepreneurship and sustainable impact

Dr. Malik Thompson

I joined the Doctorate in Supply Chain & Operations Management while managing a global logistics team. The program helped me optimize real-world systems through academic frameworks, and the research has since been implemented across three countries.

Neha Singhal
Dr. Neha Singhal

Coming from the government sector, I wanted a deeper understanding of policy impact. My PhD in Economics gave me the tools to conduct policy evaluations that are now influencing decisions at the state level.

Melissa Grant
Dr. Melissa Grant

Career Services By Growth Skale

DBA Course
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3 Guaranteed Interviews

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Career Oriented Sessions

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Mock Interview Preparation

1 on 1 Career Mentoring Sessions

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Resume & LinkedIn Profile Building

Exclusive access to Growth Skale Job portal

Case Studies

Strategic

Strategic Management & Business Transformation

  • Case Study Topic: How Amazon or Netflix adapted to changing market dynamics.
  • Focus: Long-term visioning, change management, innovation strategy.

Analyze how Amazon or Netflix navigated shifting market conditions through strategic foresight, innovative thinking, and effective change management. Examine key decisions, adaptations to technology and consumer behavior, and leadership in driving transformation. Highlight lessons in resilience, long-term vision, and innovation that enabled sustained competitive advantage.

Leader

Leadership & Organizational Behavior

  • Case Study Topic: Transformational leadership in Microsoft under Satya Nadella.
  • Focus: Leadership styles, employee motivation, cultural change.

Analyze Satya Nadella’s transformational leadership at Microsoft, focusing on how his leadership style influenced employee motivation and drove cultural change. Examine key initiatives, communication strategies, and leadership behaviors that reshaped the company’s vision, collaboration, and innovation. Evaluate outcomes through performance improvements, employee engagement, and organizational culture transformation.

Operations

Operations & Supply Chain Management

  • Case Study Topic: Apple’s global supply chain resilience during COVID.
  • Focus: Logistics optimization, risk management, supplier relationships.

Analyze how Apple maintained supply chain resilience during COVID-19, focusing on logistics optimization, risk management strategies, and supplier relationship management. Examine disruptions faced, Apple’s response, and lessons learned. Highlight how Apple adapted operations, diversified suppliers, and leveraged technology to ensure continuity and meet global demand during the pandemic.

Financial Strategy & Corporate Finance

  • Case Study Topic: Tesla’s capital raising and risk-taking approach.
  • Focus: Valuation, capital structuring, financial decision-making.

In this case study, analyze Tesla’s approach to raising capital and taking financial risks. Evaluate its valuation methods, capital structure decisions, and strategic financial choices. Assess how these influenced growth, investor confidence, and market positioning, while considering implications for long-term sustainability and competitive advantage in the electric vehicle industry.

Entrepreneurship

Entrepreneurship & Innovation

  • Case Study Topic: Airbnb’s growth through disruptive innovation.
  • Focus: Business model innovation, scaling, funding.

In this case study, analyze how Airbnb achieved rapid growth through disruptive innovation. Focus on its unique business model, how it scaled operations globally, and secured funding to fuel expansion. Examine key strategies, challenges faced, and the impact of innovation on the hospitality industry’s traditional dynamics.

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Marketing Strategy & Consumer Behavior

  • Case Study Topic: Coca-Cola’s regional marketing adaptations.
  • Focus: Branding, consumer psychology, data-driven marketing.

Analyze how Coca-Cola tailors its branding and marketing strategies to different regions using consumer psychology insights and data-driven approaches. Examine specific regional campaigns, cultural adaptations, and how consumer behavior influences branding decisions. Highlight the effectiveness of personalized marketing and the role of data in shaping Coca-Cola’s global yet local brand presence.

Corporate

Corporate Governance & Ethics

  • Case Study Topic: The Volkswagen emissions scandal.
  • Focus: Ethical decision-making, compliance, board effectiveness.

Analyze the Volkswagen emissions scandal by examining the ethical lapses, failures in compliance, and the role of the board. Evaluate how decisions were made, who was responsible, and how stronger governance could have prevented it. Recommend strategies to enhance ethical decision-making, regulatory compliance, and board accountability in corporate settings.

Frequently Asked Questions

Most Frequently or Commonly asked Questions and Doubts by Enquiries

This is a doctoral-level program for professionals who want to lead through research and
innovation. It blends academic depth with real-world impact, helping you turn workplace
challenges into meaningful, research-driven solutions.

Yes, absolutely. It's built with your schedule in mind. You can pursue this PhD alongside your
job, with flexible study hours and a structure that respects your work-life balance.

This is a blended program, primarily conducted online. You'll learn through a mix of live virtual
sessions, recorded lectures, guided mentorship, and independent research. No campus visits
required—unless you choose to attend optional events.

You’ll learn from globally recognized faculty—experienced researchers, tenured professors, and
industry experts. They’ll not only teach you but guide your research journey with real insight and
personalized attention.

Instead of a traditional thesis, you’ll work on a Practicum Research Project. It’s based on a real
issue from your work or industry. With your advisor’s help, you’ll research it rigorously and may
even publish it, depending on your goals.

Not at all. This PhD is designed for professionals, not career academics. You’ll be supported
through every research step—from forming questions to analyzing data—with practical
guidance tailored to your experience level.

Most learners complete the program in about 2.5 to 3 years, depending on how much time you
dedicate. The flexible design means you can move at your own pace, balancing study with your
personal and professional life.

Yes. The degree is awarded by Euro Asian University in Estonia, a recognized institution within
the European Higher Education Area. It holds academic value across Europe, the U.S., and
beyond.

Publishing is not required but highly encouraged. If your work has practical or academic value,
your advisor can guide you in submitting it to journals or presenting it at conferences.

The cohort includes senior executives, consultants, educators, entrepreneurs, and mid-career
professionals. Everyone brings unique experiences, making for rich peer discussions and
networking opportunities.

Whether you want to teach, lead strategic transformation, consult, or start your own research
firm, this PhD helps position you as a subject matter expert and decision-maker in your domain.

The application is simple. Share your academic and professional background, express your
research interests, and have a short conversation with our admissions team. From there, we’ll
guide you through every step

Get in touch.

Our advisors are available around the clock to answer questions and support your educational journey. Connect with us today to explore how upGrad can help you meet your career goals.

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