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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Supply Chain Management

    Ramanand Institute Of Pharmacy And Management Haridwar
    Duration
    4 Years
    Supply Chain Management UG OFFLINE

    Duration

    4 Years

    Supply Chain Management

    Ramanand Institute Of Pharmacy And Management Haridwar
    Duration
    Apply

    Fees

    ₹15,00,000

    Placement

    92.0%

    Avg Package

    ₹4,80,000

    Highest Package

    ₹8,50,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Supply Chain Management
    UG
    OFFLINE

    Fees

    ₹15,00,000

    Placement

    92.0%

    Avg Package

    ₹4,80,000

    Highest Package

    ₹8,50,000

    Seats

    100

    Students

    200

    ApplyCollege

    Seats

    100

    Students

    200

    Curriculum

    Course Structure Overview

    The Supply Chain Management program at Ramanand Institute Of Pharmacy And Management Haridwar spans eight semesters over four years. The curriculum is meticulously designed to build a strong foundation in business and engineering principles, followed by deep dives into specialized areas of supply chain management.

    SEMESTERCOURSE CODECOURSE TITLECREDIT STRUCTURE (L-T-P-C)PREREQUISITES
    1SCM101Introduction to Supply Chain Management3-0-0-3-
    1MAT101Calculus and Linear Algebra4-0-0-4-
    1PHY101Physics for Engineers3-0-0-3-
    1CHE101Chemistry for Engineers3-0-0-3-
    1BUS101Business Fundamentals2-0-0-2-
    1ENG101English for Communication2-0-0-2-
    1LAB101Introduction to Engineering Lab0-0-3-1-
    2SCM201Operations Management3-0-0-3SCM101
    2MAT201Probability and Statistics4-0-0-4MAT101
    2ECE201Electrical Engineering Basics3-0-0-3-
    2CS201Introduction to Computer Science3-0-0-3-
    2BUS201Financial Accounting2-0-0-2-
    2LAW201Business Law and Ethics2-0-0-2-
    2LAB201Basic Electrical Lab0-0-3-1-
    3SCM301Supply Chain Analytics3-0-0-3SCM201, MAT201
    3MAT301Mathematical Modeling4-0-0-4MAT201
    3CS301Data Structures and Algorithms3-0-0-3CS201
    3ECO301Economics for Business3-0-0-3-
    3MAN301Human Resource Management2-0-0-2-
    3LAB301Computer Science Lab0-0-3-1CS201
    4SCM401Digital Supply Chain3-0-0-3SCM301, CS301
    4MAT401Advanced Mathematics4-0-0-4MAT301
    4CS401Database Management Systems3-0-0-3CS301
    4ACC401Managerial Accounting2-0-0-2BUS201
    4ECO401Industrial Economics3-0-0-3ECO301
    4LAB401Digital Tools Lab0-0-3-1CS301, CS401
    5SCM501Sustainable Supply Chain3-0-0-3SCM401
    5MAT501Optimization Techniques4-0-0-4MAT401
    5CS501Machine Learning Fundamentals3-0-0-3CS401
    5BUS501Strategic Management2-0-0-2-
    5ECO501Global Trade Policies3-0-0-3ECO401
    5LAB501Analytics Lab0-0-3-1MAT501, CS501
    6SCM601Supply Chain Risk Management3-0-0-3SCM501
    6MAT601Statistical Inference4-0-0-4MAT501
    6CS601Advanced Data Mining3-0-0-3CS501
    6BUS601Entrepreneurship in Supply Chain2-0-0-2-
    6ECO601Development Economics3-0-0-3ECO501
    6LAB601Simulation & Modeling Lab0-0-3-1MAT601, CS601
    7SCM701International Logistics3-0-0-3SCM601
    7MAT701Linear Programming4-0-0-4MAT601
    7CS701Big Data Technologies3-0-0-3CS601
    7BUS701Supply Chain Consulting2-0-0-2-
    7ECO701Environmental Economics3-0-0-3ECO601
    7LAB701Advanced Analytics Lab0-0-3-1MAT701, CS701
    8SCM801Capstone Project0-0-6-6SCM701
    8MAT801Research Methodology2-0-0-2-
    8CS801Capstone Thesis0-0-3-3CS701
    8BUS801Business Strategy2-0-0-2-
    8ECO801Policy Analysis3-0-0-3ECO701
    8LAB801Final Project Lab0-0-3-1-

    Advanced Departmental Electives

    The following advanced departmental elective courses are offered to provide students with deeper insights into specialized aspects of supply chain management:

    Supply Chain Analytics and Data Mining

    This course introduces students to data-driven decision-making in supply chains. Topics include regression analysis, clustering algorithms, time series forecasting, sentiment analysis, and predictive modeling using Python and R. Students learn how to extract actionable insights from large datasets and apply them to improve operational efficiency.

    Digital Supply Chain Transformation

    This course explores the role of emerging technologies such as AI, blockchain, IoT, and cloud computing in transforming traditional supply chains. Students study real-world case studies, participate in simulations, and develop implementation plans for digital transformation initiatives within organizations.

    Supply Chain Risk Management

    This course equips students with frameworks and tools for identifying, assessing, and mitigating risks in complex supply networks. It covers topics such as risk mapping, scenario planning, business continuity strategies, and crisis communication. Students engage in practical exercises involving risk assessment models and simulation tools.

    Sustainable Supply Chain Practices

    This course emphasizes the integration of sustainability principles into supply chain operations. Students explore topics like carbon footprint reduction, green logistics, circular economy models, ethical sourcing, and corporate social responsibility. Case studies from global firms illustrate best practices in sustainable supply chain management.

    Global Trade and Logistics Strategy

    This course provides an overview of international trade regulations, customs procedures, freight forwarding, and cross-border logistics challenges. Students analyze real-world trade scenarios, develop logistics strategies for global markets, and examine the impact of geopolitical factors on supply chain performance.

    Operations Research in Supply Chain Management

    This course focuses on applying mathematical models to solve complex optimization problems in supply chains. Topics include linear programming, network flows, queuing theory, simulation techniques, and decision analysis. Students use software tools like MATLAB and GAMS to model and solve real-world supply chain problems.

    Supply Chain Finance

    This course bridges finance and logistics by examining financial aspects of supply chains such as working capital management, supplier financing, trade finance, and risk assessment. Students learn to evaluate financial performance indicators and assess the impact of financial decisions on supply chain operations.

    Procurement and Supplier Relationship Management

    This course delves into procurement strategies, supplier evaluation techniques, contract negotiation, vendor selection processes, and relationship building with suppliers. Students engage in simulations and case studies to understand how effective procurement practices contribute to supply chain success.

    Warehouse and Distribution Systems

    This course covers warehouse design, inventory management systems, distribution network optimization, and last-mile delivery solutions. Students study warehouse automation technologies, layout planning, and performance metrics using industry-standard software tools.

    Supply Chain Innovation and Entrepreneurship

    This course encourages innovation by exploring emerging trends in supply chain technology and entrepreneurship. Students work on ideation sessions, business model development, and pitch competitions to foster entrepreneurial thinking within the context of supply chain management.

    Project-Based Learning Philosophy

    Our department strongly believes in experiential learning through project-based assignments that mirror real-world challenges. Mini-projects begin in the third year and culminate in a capstone thesis in the final year. These projects are designed to reinforce theoretical knowledge while encouraging creativity, teamwork, and problem-solving skills.

    Students are assigned mentors from faculty or industry professionals based on their interests and career goals. The selection process involves a detailed proposal submission followed by a brief interview with potential advisors. Projects can be either individual or group-based, depending on complexity and scope.

    The final-year capstone project requires students to propose a solution to a real-world supply chain challenge. They must conduct literature reviews, perform data analysis, develop a prototype, and present their findings to a panel of experts. The evaluation criteria include innovation, feasibility, technical depth, and presentation quality.