Production & Operation Management – Adv

Model Question Paper

Production & Operation Management

Key Features

• Unit-wise Short Notes 
  Each unit includes a summary in both languages, making revision faster and more effective.

• Extensive MCQ Practice 
  1500+ MCQ Practice Questions: This comprehensive question bank includes 1500+ multiple-choice questions (MCQs). Each unit contains approximately 150 MCQs covering a wide range of cognitive levels such as remembering, understanding, application, and analysis.

• Exam Practice Paper with Mock Tests 
  Includes three full-length mock tests for real exam practice. 

• Latest Syllabus as per NEP 
  The syllabus aligns with the latest National Education Policy (NEP) and follows the exam patterns of MSU, CCSU, and other universities following the NEP.

• Designed by Experts 
  This question bank has been meticulously prepared by subject matter experts to ensure accuracy and relevance.

Why Choose This Model Paper?

• Complete Exam Preparation: Unit-wise summaries, MCQ practice, and mock tests provide a complete study solution.

• Latest NEP-Based Pattern: Ensures compliance with the latest university exam structure.

  Program Class: Diploma/ BBA		Year: Second		Semester: Fourth
  Subject: BACHELOR OF BUSINESS ADMINISTRATION
  Course Title: PRODUCTION & OPERATION MANAGEMENT
  Credits: 6			Core Compulsory
  Max. Marks: 100			Min. Passing Marks: 33
  Unit	Topics
  I	Nature & Scope of Production Management, Functions of Production Management, Production Systems, responsibilities of Production manager. Production Planning & Control (PPC), Objectives of PPC.
  II	Types of manufacturing Systems: Intermitted & Continuous Systems etc, Product design & development.
  III	Plant Location & Plant layout. Introduction to method study and work study.
  IV	Materials Management & Inventory Control: Purchasing Economic lot quality/Economic order quantity (EOQ), Lead time, Reorder level. Brief of ABC analysis, Stock Keeping.
  V	Quality, Quality assurance, Quality Circles, TQM, JIT, Statistical Quality Control.