M tech ( PEM) Standard Book for JUT

 

M.Tech (Project Engineering & Management) – JUT Ranchi

Recommended Books 

Version 1.0 (Final) | Based on JUT Syllabus & International Academic Standards

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Objective

top two recommended books for every major subject in the M.Tech (Project Engineering & Management) curriculum. The recommendations are based on:

• International academic reputation
• Industry relevance
• Research usefulness
• Suitability for semester examinations
• Dissertation and publication support
• Long-term professional value

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Subject-wise Final Book Recommendations

S. No.	Subject	🥇 First Choice (Highly Recommended)	🥈 Second Choice
1	Financial Planning & Management	Prasanna Chandra – Projects: Planning, Analysis, Selection, Financing, Implementation and Review	S.C. Kuchhal – Financial Management
2	Decision Making & Optimization	Douglas C. Montgomery – Design and Analysis of Experiments	Ranjit Kumar – Research Methodology
3	Agile Project Management	Charles G. Cobb – Making Sense of Agile Project Management	Robert K. Wysocki – Effective Project Management
4	Software Engineering	Ian Sommerville – Software Engineering	Roger S. Pressman – Software Engineering: A Practitioner's Approach
5	Operations & Production Management	B. Mahadevan – Operations Management: Theory and Practice	R. Panneerselvam – Production and Operations Management
6	Construction Project Management	K.K. Chitkara – Construction Project Management	Kumar Neeraj Jha – Construction Project Management: Theory and Practices
7	Project Management	Clifford F. Gray & Erik W. Larson – Project Management: The Managerial Process	John M. Nicholas & Herman Steyn – Project Management for Business and Technology
8	Human Factors & Industrial Management	Sanders & McCormick – Human Factors in Engineering and Design	S.K. Basu, K.C. Sahu & Rajiv B. – Industrial Organisation and Management
9	Business Planning & Strategy	Paul Elkins – Mastering Business Planning and Strategy	George Stonehouse – Global and Transnational Business: Strategy and Management
10	Management Information Systems	Kenneth C. Laudon – Management Information Systems	Joseph M. Putti – Management: A Functional Approach
11	Intelligent Manufacturing	Andrew Kusiak – Intelligent Manufacturing Systems	Mikell P. Groover – Automation, Production Systems and Computer-Integrated Manufacturing
12	Research Methodology	Ranjit Kumar – Research Methodology	Stuart Melville & Wayne Goddard – Research Methodology for Science & Engineering Students
13	Industry 4.0 & Cloud Computing	Alasdair Gilchrist – Industry 4.0: The Industrial Internet of Things	Ibrahim Garbie – Sustainability in Manufacturing Enterprises
14	E-Commerce*	Verify the actual JUT syllabus authors. The names "Jane Smith" and "John Doe" appear to be placeholders rather than real prescribed authors.	Use the officially prescribed author once confirmed.
15	Energy Management	W.C. Turner – Energy Management Handbook	Hamies – Energy Auditing and Conservation
16	Product Design & Development	Karl T. Ulrich & Steven D. Eppinger – Product Design and Development	Kevin Otto & Kristin Wood – Product Design: Techniques in Reverse Engineering and New Product Development
17	Design of Experiments & Green Manufacturing	Douglas C. Montgomery – Design and Analysis of Experiments	David A. Dornfeld – Green Manufacturing: Fundamentals and Applications

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Final Top 10 Books for the Entire M.Tech (PEM)

These are the most valuable books if you wish to build a high-quality personal reference library.

Rank	Book
🥇 1	Clifford F. Gray & Erik W. Larson – Project Management: The Managerial Process
🥈 2	Douglas C. Montgomery – Design and Analysis of Experiments
🥉 3	Ian Sommerville – Software Engineering
4	Charles G. Cobb – Making Sense of Agile Project Management
5	B. Mahadevan – Operations Management: Theory and Practice
6	Ranjit Kumar – Research Methodology
7	Karl T. Ulrich & Steven D. Eppinger – Product Design and Development
8	Alasdair Gilchrist – Industry 4.0: The Industrial Internet of Things
9	Andrew Kusiak – Intelligent Manufacturing Systems
10	W.C. Turner – Energy Management Handbook

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Buying Recommendations

• Buy the latest available edition unless your university specifically prescribes an older edition.
• Prefer Indian low-price editions from Pearson India, McGraw Hill India, Wiley India, Springer India, or PHI when available.
• For rare or out-of-print titles, consider university libraries or reputable second-hand book sellers.
• Verify the author, title, and edition with the official JUT syllabus before purchasing.

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Recommended Purchase Priority

Phase I (Essential Core Library)

1. Project Management – Gray & Larson
2. Design and Analysis of Experiments – Montgomery
3. Software Engineering – Sommerville
4. Research Methodology – Ranjit Kumar
5. Operations Management – B. Mahadevan

Phase II (Specialization)

6. Agile Project Management – Charles G. Cobb
7. Product Design and Development – Ulrich & Eppinger
8. Industry 4.0 – Alasdair Gilchrist
9. Intelligent Manufacturing Systems – Andrew Kusiak
10. Energy Management Handbook – W.C. Turner

Phase III (Advanced Reference)

11. Construction Project Management – K.K. Chitkara
12. Human Factors in Engineering and Design – Sanders & McCormick
13. Management Information Systems – Kenneth C. Laudon
14. Business Planning & Strategy – Paul Elkins
15. Green Manufacturing – David A. Dornfeld

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Final Note

This refreshed document consolidates all the book recommendations you shared during this conversation into a single, organized reference. The only item that should be verified against the official JUT syllabus is the E-Commerce entry, because the listed names ("Jane Smith" and "John Doe") appear to be example placeholders rather than actual prescribed authors. For the remaining subjects, the recommendations reflect widely recognized academic and industry-standard texts suitable for M.Tech study, research, dissertations, and professional practice.

Ph.D., research, teaching, and engineering consultancy, there are two books that will remain valuable throughout your academic career, regardless of your specialization.

🥇 1. Douglas C. Montgomery – Design and Analysis of Experiments (DOE)

Why this is universal:

• Essential for M.Tech, Ph.D., and research publications.
• Used in engineering, manufacturing, quality control, AI model validation, optimization, and industrial research.
• Covers statistical experiment design, ANOVA, regression, factorial designs, response surface methodology (RSM), and optimization.
• Highly cited and accepted by universities worldwide.

Useful for:

• Experimental design
• Thesis and dissertation work
• Journal publications
• Data analysis
• Industrial R&D

Buy:

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🥈 2. Ranjit Kumar – Research Methodology: A Step-by-Step Guide for Beginners

Why this is universal:

• Covers the complete research process from idea to publication.
• Suitable for M.Tech, Ph.D., MBA, social sciences, and engineering.
• Explains research design, literature review, questionnaire development, sampling, ethics, data collection, and report writing in a simple way.

Useful for:

• Synopsis writing
• Thesis writing
• Research paper preparation
• Publication ethics
• Viva preparation

Buy:

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If You Can Buy Only One Book

Douglas C. Montgomery – Design and Analysis of Experiments

It has the highest long-term value for engineering research because it supports:

• M.Tech projects
• Ph.D. research
• Experimental validation
• Optimization
• AI/ML model evaluation
• Quality engineering
• Journal publications
• Industrial R&D

Best Two-Book Research Combination

1. Douglas C. Montgomery — Design and Analysis of Experiments (Statistics & Experimental Design)
2. Ranjit Kumar — Research Methodology (Research Process & Thesis Writing)

If you're building a long-term research library for M.Tech → Ph.D. → Research → Teaching → Industrial R&D, the following collection is an excellent, comprehensive foundation.

Rank	Book	Author(s)	Why It Is Essential	Buy Link
🥇		Singiresu S. Rao	The definitive engineering optimization textbook covering linear, nonlinear, constrained optimization, GA, SA, PSO, and engineering applications.
🥈		Douglas C. Montgomery	International standard for DOE, ANOVA, regression, RSM, and statistical validation of optimization results.
🥉		Ranjit Kumar	Covers research design, literature review, methodology, data collection, thesis writing, and publication.
4		Stephen Boyd & Lieven Vandenberghe	The gold standard for convex optimization used in AI, machine learning, control systems, and operations research.
5		Gill, Murray & Wright	Numerical optimization algorithms and practical implementation techniques.
6		Hillier & Lieberman	Comprehensive text on linear programming, integer programming, network models, simulation, and decision analysis.
7		Gray & Larson	One of the world's leading project management textbooks, useful for engineering and research projects.
8		Prasanna Chandra	Standard Indian reference for project finance, appraisal, and investment analysis.
9		B. Mahadevan	Strong foundation in operations, production systems, supply chains, and process improvement.
10		Mikell P. Groover	Essential for smart manufacturing, Industry 4.0, automation, and advanced production systems.

Recommended Purchase Priority

Tier 1 (Buy First)

1. Engineering Optimization: Theory and Practice
2. Design and Analysis of Experiments
3. Research Methodology

Tier 2 (Buy Next) 4. Convex Optimization 5. Introduction to Operations Research 6. Practical Optimization

Tier 3 (Build Your Professional Library) 7. Project Management: The Managerial Process 8. Projects: Planning, Analysis, Selection, Financing, Implementation and Review 9. Operations Management: Theory and Practice 10. Automation, Production Systems, and Computer-Integrated Manufacturing

This collection provides a strong knowledge base spanning optimization theory, operations research, statistics, experimental design, research methodology, project management, and advanced manufacturing, making it highly useful throughout an engineering research career from M.Tech through Ph.D. and beyond.