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PHD in Industrial Engineering And Management at Indian Institute of Technology (Indian School of Mines), Dhanbad
Dhanbad, Jharkhand
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About the Specialization
What is Industrial Engineering and Management at Indian Institute of Technology (Indian School of Mines), Dhanbad Dhanbad?
This Industrial Engineering and Management PhD program at IIT (ISM) Dhanbad focuses on advanced research and problem-solving in industrial systems. It blends engineering principles with management science to optimize complex processes and improve productivity. The program addresses the evolving needs of Indian industries, emphasizing innovation, efficiency, and sustainable practices in manufacturing, logistics, and service sectors, contributing significantly to national industrial growth.
Who Should Apply?
This program is ideal for highly motivated individuals with a strong academic background, typically holding an M.Tech or equivalent degree in Industrial Engineering, Management, or related fields. It attracts fresh graduates aspiring to contribute to academic research, and working professionals seeking to solve real-world industrial challenges through rigorous investigation and advanced analytical skills, preparing them for leadership roles in R&D or academia.
Why Choose This Course?
Graduates of this program can expect to pursue careers in academia as professors or researchers, or join top-tier R&D departments in Indian and multinational corporations. Potential roles include Research Scientist, Operations Research Analyst, Management Consultant, or Industrial Systems Expert. Initial salaries for PhD holders in India can range from INR 10-25 LPA, with significant growth trajectories, particularly in sectors demanding advanced analytical and strategic thinking.
Student Success Practices
Foundation Stage
Master Core Methodologies and Tools- (Initial 1-2 Semesters)
Dedicate time to thoroughly understand foundational concepts in Operations Research, Statistics, and Management Science. Utilize online platforms like Coursera and NPTEL for supplementary learning. Focus on developing proficiency in analytical software such as R, Python, MATLAB, or Arena simulation for problem-solving.
Tools & Resources
NPTEL courses on Operations Research/Statistics, Coursera/edX for advanced analytics, R/Python programming environments, MATLAB/Arena simulation software
Career Connection
Strong methodological skills are crucial for defining and solving complex research problems, a core requirement for academic and industrial research roles.
Engage in Departmental Research Seminars- (Ongoing through Semesters 1-2)
Actively attend all departmental seminars, workshops, and guest lectures. Critically analyze the presented research, ask insightful questions, and seek opportunities to discuss topics with faculty and senior researchers. This practice helps in identifying potential research gaps and understanding current industry trends.
Tools & Resources
Departmental seminar schedules, Research group meetings, Faculty office hours
Career Connection
Early exposure to diverse research topics and networking with peers and faculty helps in refining your own research interests and building collaborative opportunities.
Develop Academic Writing and Literature Review Skills- (Initial 1-2 Semesters)
Focus on honing your academic writing skills by summarizing research papers, practicing critical analysis, and understanding citation styles. Utilize reference management tools and academic databases effectively to conduct comprehensive literature reviews. Seek feedback from your supervisor on initial writing attempts.
Tools & Resources
Mendeley/Zotero for reference management, Scopus/Web of Science/Google Scholar for literature search, Purdue OWL for academic writing guidelines
Career Connection
Proficient academic writing is fundamental for publishing research, preparing thesis documents, and securing research grants, essential for an academic career.
Intermediate Stage
Identify and Refine Research Problem with Supervisor- (Semesters 3-5)
Collaborate closely with your research supervisor to identify a novel and impactful research problem aligned with your interests and the department''''s focus areas. Conduct preliminary studies, develop a strong research proposal, and defend it effectively at the Departmental Research Committee (DRC).
Tools & Resources
Supervisor guidance, Literature databases, DRC guidelines and templates
Career Connection
A well-defined research problem is the backbone of a successful PhD, directly impacting thesis quality and future career opportunities in research.
Present Research at National Conferences and Workshops- (Semesters 3-5 (Ongoing))
Actively prepare and present your ongoing research work at relevant national conferences (e.g., ORSI, SOMI, IEOM India). Seek feedback from a wider academic audience, network with researchers from other institutions, and explore potential collaborations. Aim for at least one presentation per year.
Tools & Resources
Conference websites (e.g., ORSI, SOMI, IEOM), Funding for conference travel (institute grants, project funds)
Career Connection
Conference presentations enhance your visibility in the research community, provide critical feedback, and build a professional network vital for academic job searches.
Engage in Teaching Assistantship and Mentoring- (Semesters 3-5 (As opportunities arise))
Take on teaching assistant (TA) roles for undergraduate or master''''s courses in your area of expertise. This helps in solidifying your understanding of core concepts, developing pedagogical skills, and mentoring junior students. It''''s a key experience for those aiming for academic careers.
Tools & Resources
Departmental TA allocations, Course materials, Mentoring opportunities with junior students
Career Connection
TA experience is invaluable for academic positions, demonstrating teaching aptitude and leadership skills to future employers.
Advanced Stage
Publish in High-Impact Peer-Reviewed Journals- (Semesters 6 onwards)
Prioritize publishing your research findings in reputable, peer-reviewed international and national journals. Focus on journals with good impact factors relevant to Industrial Engineering and Management. This is critical for academic career progression and establishing your research credibility.
Tools & Resources
Journal submission platforms, Academic writing support from institute, Proofreading services
Career Connection
A strong publication record is the most crucial credential for securing faculty positions and research grants, and demonstrating expertise for industry R&D roles.
Network with Industry Professionals and Alumni- (Semesters 6 onwards (Ongoing))
Actively participate in industry conclaves, workshops, and alumni events organized by the institute. Leverage platforms like LinkedIn to connect with professionals in your specialization. Seek out opportunities for industry-sponsored research or joint projects to apply your research in real-world settings.
Tools & Resources
LinkedIn, Institute alumni network events, Industry association memberships
Career Connection
Building a robust professional network can lead to post-doctoral opportunities, industry research positions, and consulting roles, significantly broadening career prospects beyond academia.
Prepare for Thesis Defense and Viva-Voce- (Final 2 Semesters)
Meticulously prepare your PhD thesis, ensuring it meets all institutional guidelines and research standards. Practice your presentation skills for the final viva-voce examination. Seek mock defense sessions with your committee members and peers to refine your arguments and anticipate questions.
Tools & Resources
IIT (ISM) thesis guidelines, Departmental viva-voce regulations, Presentation software (PowerPoint, LaTeX Beamer)
Career Connection
A successful thesis defense is the culmination of your PhD journey, validating your research and enabling you to earn the degree, opening doors to your chosen career path.
Program Structure and Curriculum
Eligibility:
- Master''''s degree (M.Tech/M.E./MBA/M.Sc. or equivalent) or Bachelor''''s degree (B.Tech/B.E./B.Sc.Engg. or equivalent) in relevant disciplines with First Class or minimum 60% marks/6.0 CGPA. Valid GATE/NET/CEED score is often required, as per institute admission criteria. Specific requirements may vary by category and departmental recommendations.
Duration: Minimum 3 years, extendable up to 7 years
Credits: Minimum 6-12 credits (depending on prior qualification) Credits
Assessment: Internal: 50% (Continuous evaluation including assignments, quizzes, seminars, mid-semester examination), External: 50% (End-semester examination)
Semester-wise Curriculum Table
Semester coursework
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IE501 | Industrial Management | Core/Elective Option | 3 | Principles of Management, Organizational Structures, Human Resource Management, Leadership and Motivation, Financial Management, Marketing Management |
| IE503 | Operations Research | Core/Elective Option | 3 | Linear Programming, Simplex Method, Duality Theory, Transportation and Assignment Problems, Network Models, Queuing Theory, Inventory Control Models |
| IE505 | Production Planning and Control | Core/Elective Option | 3 | Forecasting Techniques, Aggregate Production Planning, Master Production Scheduling, Material Requirements Planning (MRP), Capacity Planning, Shop Floor Control, Just-In-Time (JIT) Systems |
| IE507 | Quality Management | Core/Elective Option | 3 | Total Quality Management (TQM), Statistical Process Control (SPC), Control Charts, Acceptance Sampling, Six Sigma Methodology, Quality Function Deployment (QFD), ISO 9000 Standards |
| IE509 | Supply Chain Management | Core/Elective Option | 3 | Supply Chain Strategy and Design, Demand Planning and Forecasting, Logistics and Transportation, Procurement and Sourcing, Inventory Management in SCM, Information Technology in Supply Chain, Supply Chain Performance Measurement |
| RMXXX | Research Methodology | Mandatory PhD Course | 3 | Research Design and Problem Formulation, Literature Review Techniques, Quantitative and Qualitative Research Methods, Data Collection and Sampling, Statistical Analysis for Research, Hypothesis Testing, Scientific Writing and Ethics in Research |
