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M-TECH in Production Engineering And Management at S.N.M Institute of Management & Technology
Ernakulam, Kerala
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About the Specialization
What is Production Engineering and Management at S.N.M Institute of Management & Technology Ernakulam?
This Production Engineering and Management program at S.N.M Institute of Management & Technology focuses on optimizing manufacturing processes, integrating advanced technologies, and managing industrial operations efficiently. It addresses the growing demand for skilled professionals who can drive productivity and innovation in India''''s diverse manufacturing sector, leveraging smart manufacturing, automation, and sustainable practices for competitive advantage.
Who Should Apply?
This program is ideal for mechanical, production, and industrial engineering graduates seeking to specialize in advanced manufacturing and operations management. It also caters to working professionals aiming to upskill in areas like robotics, quality management, and supply chain, or career changers looking to transition into leadership roles within dynamic manufacturing industries across India.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as manufacturing engineers, quality managers, operations consultants, or supply chain analysts in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning INR 10-25+ LPA. The program aligns with professional certifications in Lean Six Sigma and PMP, fostering rapid growth trajectories in the Indian industrial landscape.
Student Success Practices
Foundation Stage
Master Core Engineering Mathematics and Research Skills- (Semester 1-2)
Dedicate focused time to thoroughly understand advanced engineering mathematics concepts, which form the bedrock for analytical problem-solving in production. Simultaneously, develop strong research skills by critically analyzing academic papers and understanding research methodologies for future project work and innovation.
Tools & Resources
NPTEL courses on advanced mathematics and research, Mendeley for reference management, Access to KTU e-resources for journals
Career Connection
These skills are fundamental for data-driven decision making and innovation, crucial for R&D roles and advanced engineering positions in manufacturing industries.
Gain Hands-on Experience in Advanced Manufacturing- (Semester 1-2)
Actively participate in Advanced Manufacturing Lab sessions, focusing on understanding the practical aspects of CNC machining, additive manufacturing, and metrology. Seek opportunities for extra lab hours or small projects to apply theoretical knowledge to real-world scenarios within the college or local workshops.
Tools & Resources
College CNC machines, 3D printers, CAD/CAM software suites (e.g., SolidWorks, Fusion 360), Local fabrication units for observation
Career Connection
Practical skills in advanced manufacturing technologies are highly sought after by industries for roles in production, process engineering, and quality control, enhancing direct employability.
Cultivate Interdisciplinary Problem-Solving Mindset- (Semester 1-2)
Engage in peer study groups and academic discussions across different specializations to broaden your perspective. Focus on how concepts from other engineering fields might integrate with production and management challenges, enhancing holistic problem-solving abilities vital for complex industrial environments.
Tools & Resources
Group project work, hackathons, Online forums for interdisciplinary discussions, Industry case studies
Career Connection
Modern Indian industries require engineers who can tackle complex problems by integrating diverse knowledge, making you a versatile and highly valuable asset.
Intermediate Stage
Specialize in Robotics and Quality Management- (Semester 2-3)
Deep dive into elective subjects like Industrial Robotics and Total Quality Management. Aim for industry-recognized certifications in Six Sigma or Lean Manufacturing to bolster your professional profile. Work on mini-projects involving automation or quality improvement for local industries to gain practical exposure.
Tools & Resources
Online Six Sigma/Lean certifications (e.g., ASQ, Simplilearn), Robotics simulation software (e.g., RoboDK, V-REP), Industry standards (ISO 9001)
Career Connection
Specialized knowledge in automation and quality assurance directly translates to roles in process optimization, automation engineering, and quality leadership within manufacturing organizations.
Develop Data-Driven Decision Making through DOE- (Semester 2-3)
Apply principles of Advanced Design of Experiments (DOE) to optimize manufacturing processes or product parameters. Engage with faculty for research projects that require statistical experimental design and analysis, enhancing analytical rigor for real-world industrial challenges.
Tools & Resources
Minitab, R, Python for statistical analysis, Case studies on industrial process optimization, Research papers on DOE applications
Career Connection
This skill is critical for R&D, process improvement, and quality engineering roles, enabling you to derive actionable insights from complex data to drive efficiency.
Build a Professional Network and Industry Exposure- (Semester 2-3)
Attend industry workshops, conferences, and seminars organized by professional bodies like IEI or CII. Connect with industry experts on LinkedIn, and actively seek out guest lectures or mentorship opportunities to understand current industry trends and requirements in India.
Tools & Resources
LinkedIn, Professional engineering associations (IEI, IIM), College alumni network
Career Connection
Networking opens doors to internships, project collaborations, and eventually, job opportunities, providing invaluable insights beyond the academic curriculum and building career pathways.
Advanced Stage
Undertake a Comprehensive Research Project- (Semester 3-4)
Choose a challenging M.Tech project aligned with current industry needs or emerging technologies like Industry 4.0 or sustainable manufacturing. Focus on developing a tangible solution, publish your findings in conferences or journals, and present your work compellingly to academic and industry audiences.
Tools & Resources
Research labs, fabrication facilities, Journals (e.g., Elsevier, Springer), Academic writing software (e.g., Grammarly)
Career Connection
A strong project demonstrates problem-solving abilities, research aptitude, and technical expertise, significantly boosting your employability and paving the way for advanced R&D roles in India.
Prepare for Placements with Mock Interviews and Aptitude Tests- (Semester 3-4)
Actively participate in campus placement training programs. Practice technical and HR interview questions specific to manufacturing roles. Regularly take aptitude tests to improve speed and accuracy, and tailor your resume and cover letter to specific company requirements for maximum impact.
Tools & Resources
Placement cell resources, Online aptitude platforms (e.g., IndiaBix), Mock interview sessions with alumni/faculty
Career Connection
Thorough preparation ensures you stand out during recruitment drives, securing desirable positions in core manufacturing or related consulting firms across India.
Focus on Professional Communication and Leadership- (Semester 3-4)
Refine your presentation, technical writing, and interpersonal communication skills through project reports, seminars, and group activities. Volunteer for leadership roles in student chapters or college events to develop managerial and team-building capabilities essential for career advancement.
Tools & Resources
Toastmasters clubs (if available), Professional development workshops, Feedback from faculty on presentations
Career Connection
Strong communication and leadership are vital for career progression, enabling you to manage teams, lead projects, and effectively articulate complex technical concepts in any professional setting.
Program Structure and Curriculum
Eligibility:
- B.Tech/BE in Mechanical Engineering/Production Engineering/Industrial Engineering/Automobile Engineering/Mechatronics Engineering/Metallurgical Engineering or equivalent from an AICTE approved institution with minimum 60% aggregate marks (or 6.5 CGPA out of 10). A valid GATE score is desirable for admission.
Duration: 4 semesters / 2 years
Credits: 67 Credits
Assessment: Internal: 40% (Theory), 60% (Lab/Project), External: 60% (Theory), 40% (Lab/Project)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MEN601 | Advanced Engineering Mathematics | Core | 3 | Linear Algebra and Matrices, Optimization Techniques, Calculus of Variations, Probability and Statistics, Transform Methods |
| 20MEN603 | Advanced Manufacturing Technology | Core | 3 | Non-traditional Machining, Additive Manufacturing, Micro-manufacturing, Surface Modification Techniques, Modern Welding Processes |
| 20MEN605 | Research Methodology and IPR | Core | 3 | Research Problem Formulation, Data Collection and Analysis, Statistical Tools for Research, Report Writing, Intellectual Property Rights, Patent Filing |
| 20MEN611 | Advanced Materials Technology | Elective (Example) | 3 | Advanced Composites, Ceramics and Glasses, Smart Materials, Nano Materials, Material Characterization, Materials for Biomedical Applications |
| 20MEN613 | Industrial Management and Operations Research | Elective (Example) | 3 | Production Planning and Control, Inventory Management, Linear Programming, Queuing Theory, Project Management Techniques, Supply Chain Optimization |
| 20MEN681 | Advanced Manufacturing Lab | Lab | 2 | CNC Programming and Machining, Additive Manufacturing Techniques, Advanced Metrology, Material Testing and Characterization, Robotics and Automation Cells, Virtual Manufacturing Simulation |
| 20MEN691 | Research Seminar | Seminar | 1 | Technical Literature Review, Scientific Writing, Effective Presentation Skills, Research Topic Selection, Ethical Considerations in Research |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MEN602 | Industrial Robotics and Automation | Core | 3 | Robot Kinematics and Dynamics, Robot Control Architectures, Sensors and Actuators in Robotics, Automated Material Handling, Programmable Logic Controllers (PLCs), Industrial Robot Applications |
| 20MEN604 | Advanced Design of Experiments | Core | 3 | Statistical Design Principles, Factorial Experiments, Taguchi Methods for Quality, Regression Analysis, Response Surface Methodology, Orthogonal Arrays |
| 20MEN622 | Total Quality Management | Elective (Example) | 3 | Quality Principles and Philosophies, Statistical Process Control, Six Sigma Methodology, Lean Manufacturing Concepts, ISO Standards and Audits, Quality Function Deployment |
| 20MEN624 | Supply Chain and Logistics Management | Elective (Example) | 3 | Supply Chain Design and Strategy, Inventory Management Models, Logistics Operations and Management, Transportation and Warehousing, Supply Chain Performance Measurement, Digital Supply Chain |
| 20MEN682 | Computer Aided Engineering Design Lab | Lab | 2 | Advanced CAD Modeling, Finite Element Analysis (FEA), CAM Software for Machining, Product Design and Development, Assembly and Mechanism Design, Design Optimization Tools |
| 20MEN692 | Mini Project | Project | 2 | Problem Identification and Scoping, Literature Survey and Gap Analysis, Methodology Development, Data Collection and Experimentation, Results and Discussion, Project Report Preparation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MEN711 | Additive Manufacturing | Elective (Example) | 3 | Principles of 3D Printing, Material Extrusion Techniques, Powder Bed Fusion, Vat Photopolymerization, Design for Additive Manufacturing, Applications in Industry |
| 20MEN791 | Project Phase I | Project | 6 | Project Problem Definition, Comprehensive Literature Review, Methodology and Experimental Design, Data Collection Planning, Feasibility Study, Preliminary Results Analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20MEN792 | Project Phase II | Project | 12 | Advanced Experimental Work, Detailed Data Analysis and Interpretation, Critical Discussion of Results, Conclusion and Future Scope, Thesis Writing and Formatting, Public Presentation and Viva-Voce |
