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Ph.D. in Operations and Supply Chain Management |

Mode:

Regular

Location:

Vidyavihar - Mumbai

Course Duration:

3 Years

Programme Code:

ST1758

At K J Somaiya Institute of Management (KJSIM), the journey to becoming a value-based and purpose-driven leader begins here. Our Ph.D programme in Operations and Supply Chain Management is designed for those passionate about shaping the future of global supply chains and optimising operational efficiencies. This programme is not just about research; it's about creating a transformative impact in the business world.

Why Choose Research Area - Operations and Supply Chain Management with KJSIM?

Operations and Supply Chain Management are the driving forces behind business innovation and sustainability. As the global supply chain management market, valued at USD 23.58 billion in 2023, is expected to grow to USD 26.25 billion in 2024 and reach USD 63.77 billion by 2032, with a CAGR of 11.7%, there has never been a more critical time to gain expertise in this field. Our programme helps build deep understanding, critical analysis, and innovative thinking, preparing our scholars to become thought leaders and pioneers in their fields.

Core Highlights

Cutting-Edge Research

Engage in groundbreaking research addressing current global supply chain management and operations challenges. Our programme emphasises theoretical and practical aspects, ensuring that research outcomes have real-world applications.

Expert Faculty

Learn from and collaborate with a diverse faculty team of recognised experts in their respective fields. Their experience and insight guide scholars through operations and supply chain management complexities.

Interdisciplinary Approach

The programme encourages cross-disciplinary research, allowing students to integrate knowledge from technology, analytics, and sustainability into their studies. This approach ensures our scholars are well-equipped to lead in an interconnected world.

Transformational Leadership

Staying true to KJSIM’s purpose of “Transforming Together,” this programme goes beyond academic excellence. It builds the development of leaders committed to driving positive change in the business world and beyond.

Flexible Learning

The first semester requires full-time attendance, while the second semester offers a more flexible schedule to accommodate research needs.

Career Advancement

Scholars are equipped with the skills and knowledge to excel in academia, industry leadership, and consulting roles.

Eligibility Criteria

Educational Qualifications

  • A Master's degree or equivalent professional degree with at least 55% marks, as per UGC regulations.
  • Candidates awaiting the final viva-voce of their Master's degree may apply, provided they complete their degree before provisional admission.
  • Candidates with a Master's degree from a recognised foreign institution are also eligible.

Ph.D Entrance Exam

  1. All candidates must qualify in the SVU Ph.D Entrance Examination unless exempted.
  2. Exemption Criteria:
    • Qualified/valid scores in NET-JRF, JEST, or holding a JRF Fellowship with CSIR/UGC/ICAR/ICMR/DBT.
    • A valid GMAT score (350 minimum) from the past two years.
    • Five years of teaching/research experience with published research in SCOPUS/Web of Science journals, patents, or government grants (subject to submission of relevant documents).

Coursework Structure and Requirements

  1. The Ph.D coursework spans one academic year, divided into two semesters. The first semester is a full-time commitment, where students are required to attend in-person sessions at the college, department, section, or laboratory as per the scheduled timetable.
  2. Students must complete a total of 19 credits—14 credits in the first semester and 5 credits in the second semester. Achieving a satisfactory Cumulative Grade Point Index (CGPI) in accordance with the Ph.D regulations is mandatory for eligibility to register for the Ph.D programme.

Scholarly Guides

Sr.No. Research Guide Qualification Research Areas
1

Prof. Dr. Pramod Shetty

Ph.D. (IIM Mumbai (NITIE) 2007) Advanced technologies in SCM, Reverse Logistics, Delayed differentiation

Take a Transformative Leap with KJSIM