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MMPL-004 IGNOU Guess Paper 2026-27
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MMPL-004 IGNOU Guess Paper 2026-27

₹49.00 ₹100.00
Format: pdf
Size: 1.5 MB
Publisher: IGNOU MANCH
Customer Reviews 2
5.0
S
Shital ingale
Extremely helpful guess paper

Maine apne ba ke ycmou ke exam ke liye sare subject ke notes sir se hi liye the and guess what question paper aisa lag raha tha jaise ki inke guess paper se hi banaya ho itna accurate I really score well sirf guess paper notes read krke mai ab apse hi sare notes lungi thank you so much sir for this guess paper

R
Rahul
Exam badhiya gaye

Aapka guess paper se boht accha aata hai exam me mera 8 me se 6 exam me boht acche wuestion aaye thanks bhaiya

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This guess paper for MMPL-004 (Supply Chain Technology and Information Systems) focuses on high-weightage topics like ERP systems, RFID and IoT applications, and supply chain analytics, derived from past TEE patterns (June/Dec sessions). Key scoring areas include case studies on blockchain in logistics and predictive maintenance in warehousing, with a 3-hour exam strategy emphasizing time allocation per unit block.

Syllabus & Overview

MMPL-004 (Supply Chain Technology and Information Systems) Guess Paper (Term-End Exam Focus)

This structured guess paper aligns with IGNOU’s official MMPL-004 syllabus, prioritizing high-yield topics from previous TEE sessions (2018–2023). It includes chapter-wise question weightage, exam time management tips, and solved question patterns for both English and Hindi mediums.

Core Syllabus Blocks Covered

  • Unit 1: Foundations of Supply Chain Technology
    • Core technologies: ERP (SAP, Oracle), SCM software, and their integration with logistics.
    • Past TEE focus: Comparative analysis of ERP modules (e.g., SAP MM vs. Oracle SCM).
  • Unit 3: RFID and IoT in Supply Chain
    • Applications: Real-time tracking, inventory automation, and smart warehousing.
    • High-scoring topics: Case studies on RFID in cold chain logistics (e.g., pharmaceuticals).
  • Unit 5: Supply Chain Analytics and Big Data
    • Predictive analytics for demand forecasting, route optimization, and risk management.
    • Past trends: Questions on Python/R scripts for supply chain data visualization.
  • Unit 6: Blockchain in Logistics
    • Decentralized ledgers for transparency in cross-border supply chains.

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