Course Structure and Academic Framework

The curriculum for the B.Tech in Operations Management at Arihant College is meticulously structured to provide a robust foundation followed by progressive specialization. It spans 8 semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.

Year-Wise Course Structure

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
1	OM101	Introduction to Operations Management	3-0-0-3	-
1	OM102	Mathematics for Operations	4-0-0-4	-
1	OM103	Basic Engineering Principles	3-0-0-3	-
1	OM104	Introduction to Programming and Algorithms	2-0-2-3	-
1	OM105	Communication Skills for Engineers	2-0-0-2	-
1	OM106	Lab: Introduction to Engineering Tools	0-0-4-2	-
2	OM201	Operations Research and Modeling	3-0-0-3	OM102
2	OM202	Industrial Engineering Fundamentals	3-0-0-3	-
2	OM203	Process Control and Automation	3-0-0-3	-
2	OM204	Quality Management Systems	2-0-0-2	-
2	OM205	Statistics and Probability for Operations	3-0-0-3	OM102
2	OM206	Lab: Process Simulation and Modeling	0-0-4-2	-
3	OM301	Supply Chain Management	3-0-0-3	OM201, OM202
3	OM302	Lean Operations and Waste Reduction	3-0-0-3	-
3	OM303	Data Analytics for Operational Decisions	3-0-0-3	OM205
3	OM304	Project Management and Risk Analysis	3-0-0-3	-
3	OM305	Service Operations and Customer Experience	2-0-0-2	-
3	OM306	Lab: Supply Chain Simulation	0-0-4-2	-
4	OM401	Advanced Operations Strategy	3-0-0-3	OM301, OM302
4	OM402	Digital Transformation in Operations	3-0-0-3	-
4	OM403	Sustainable Logistics and Green Supply Chains	2-0-0-2	-
4	OM404	Risk Management in Global Operations	3-0-0-3	-
4	OM405	Operations in Healthcare and Public Services	2-0-0-2	-
4	OM406	Lab: Digital Operations Lab	0-0-4-2	-
5	OM501	Operations Analytics and Predictive Modeling	3-0-0-3	OM303
5	OM502	Strategic Supply Chain Design	3-0-0-3	-
5	OM503	Advanced Process Optimization Techniques	3-0-0-3	-
5	OM504	Operations in E-commerce and Retail	2-0-0-2	-
5	OM505	Research Methodology for Operations	2-0-0-2	-
5	OM506	Lab: Advanced Analytics for Operations	0-0-4-2	-
6	OM601	Capstone Project I: Problem Identification and Planning	3-0-0-3	-
6	OM602	Operations in Emerging Technologies	3-0-0-3	-
6	OM603	Entrepreneurship and Innovation in Operations	2-0-0-2	-
6	OM604	Global Operations and Cultural Considerations	3-0-0-3	-
6	OM605	Lab: Capstone Project Lab	0-0-4-2	-
7	OM701	Capstone Project II: Implementation and Testing	3-0-0-3	-
7	OM702	Operations Consulting and Business Transformation	2-0-0-2	-
7	OM703	Advanced Topics in Operations Research	3-0-0-3	-
7	OM704	Operations and Ethics in Global Contexts	2-0-0-2	-
7	OM705	Lab: Final Capstone Implementation	0-0-4-2	-
8	OM801	Capstone Project III: Presentation and Evaluation	3-0-0-3	-
8	OM802	Graduation Thesis	4-0-0-4	-
8	OM803	Internship and Industry Experience	0-0-6-3	-

Advanced Departmental Electives Overview

The department offers a rich variety of advanced electives designed to deepen students' expertise in specific areas of operations management. These courses are tailored to meet the evolving demands of industry and academia.

1. Operations Analytics and Predictive Modeling (OM501)

This course delves into advanced analytical techniques used in modern operations, including machine learning algorithms, time series forecasting, and optimization models. Students learn to apply these tools to real-world datasets, enhancing their ability to make data-driven decisions.

2. Strategic Supply Chain Design (OM502)

Students explore the strategic aspects of supply chain management, focusing on network design, supplier relationship management, and risk mitigation strategies. The course includes case studies from global firms and practical simulations to reinforce learning.

3. Advanced Process Optimization Techniques (OM503)

This elective introduces advanced methods for process improvement, including Six Sigma, Lean Six Sigma, and root cause analysis. Through hands-on projects, students gain experience in identifying bottlenecks and implementing solutions that enhance operational efficiency.

4. Operations in E-commerce and Retail (OM504)

With the rapid growth of digital commerce, this course examines how operations principles are applied in online retail environments. Topics include warehouse management, inventory optimization, order fulfillment, and customer experience design.

5. Research Methodology for Operations (OM505)

This course equips students with research skills essential for conducting meaningful investigations in operations management. It covers literature review techniques, hypothesis formulation, experimental design, and data analysis methods specific to the field.

6. Operations in Emerging Technologies (OM602)

As new technologies reshape operational landscapes, this course explores how artificial intelligence, blockchain, IoT, and robotics can be integrated into operational frameworks. Students analyze current implementations and propose future applications.

7. Entrepreneurship and Innovation in Operations (OM603)

This course encourages students to think creatively about operational innovation. It combines theoretical knowledge with entrepreneurial mindset, focusing on developing new products or services that improve operational performance.

8. Global Operations and Cultural Considerations (OM604)

Students examine how cultural factors influence operational practices in different regions. The course includes comparative studies of global operations models and explores cross-cultural communication strategies for multinational teams.

9. Operations Consulting and Business Transformation (OM702)

This elective prepares students to act as consultants, helping organizations transform their operations through strategic initiatives. It covers consulting methodologies, stakeholder engagement, and change management practices.

10. Advanced Topics in Operations Research (OM703)

This course explores cutting-edge research topics in operations research, including stochastic optimization, game theory applications, and multi-objective decision-making. It serves as a bridge between academic research and practical implementation.

Project-Based Learning Philosophy

Our program emphasizes project-based learning to foster critical thinking, problem-solving, and teamwork among students. Projects are structured to mirror real-world challenges, encouraging students to apply theoretical concepts in practical settings.

Mini-Projects (Years 1-3)

Mini-projects are integrated into the curriculum from the first year onward, allowing students to experiment with different tools and methodologies. These projects typically last one semester and involve small teams working under faculty supervision.

Final-Year Capstone Project

The capstone project is a significant component of the program's final year, where students work on an independent research or practical application related to their area of interest. Students are paired with faculty mentors who guide them through the entire process, from problem definition to solution implementation.

Evaluation Criteria

Projects are evaluated based on several criteria, including innovation, technical rigor, presentation quality, teamwork, and real-world applicability. Students must submit detailed reports and present their findings to a panel of faculty members and industry experts.