Integrated Logistics Management System – Adani Wilmar Limited
Agile Supply Chain Optimization with Real-Time Visibility
Problem
- Difficulty in reducing in-transit time, leading to challenges in planning and control.
- Lack of visibility into hidden operational capacities, affecting individual performance optimization.
- Low On-Time-In-Full (OTIF) service levels, impacting service reliability.
- Inability to achieve a fully audited, revenue leak-proof freight management process without reliance on specific individuals.
- Limited end-to-end visibility and tracking in VIVO operations, hindering process improvements.
Solution
- Use AI, ML, IoT, and Cloud Computing for logistics planning and optimization.
- Connect all stakeholders on a unified planning horizon for better visibility and performance.
- Improve OTIF service levels with optimized resource planning and dispatch.
- Implement a multi-dimensional workflow for auditable and leak-proof freight management.
- Enhance end-to-end tracking and visibility for continuous process improvements.
Outcomes
- Achieved full agility and scalability for all stakeholders.
- Improved resource productivity by 50% with digitization, handling more workload.
- Optimized truck and warehouse planning, reducing turnaround time.
- Increased efficiency by 15-20%, cutting freight costs by 1%.
- Gained real-time end-to-end visibility, enhancing data accuracy and analytics.
SKOCH Award Nominee
Category: Digital Transformation
Sub-Category: Business Process Transformation
Project: Integrated Logistics Management System
Start Date: 1-01-2017
Organisation: Adani Wilmar Limited
Respondent: Rajneesh Bansal
Level: DX – 1
Video
See Presentation
Gallery
Case Study
Agile Supply Chain Optimization with Real-Time Visibility
Introduction
This project focuses on optimizing supply chain logistics through digital transformation, improving efficiency across various stages—from planning to delivery. By integrating advanced technologies like AI, ML, and IoT, it aims to enhance visibility and control.
Problems
Key challenges included reducing in-transit time, uncovering hidden operational capacities, and improving OTIF service levels. Additionally, achieving audit-proof freight management and enhancing end-to-end visibility were crucial.
Solutions
The solution involved using AI, ML, IoT, and Cloud Computing for logistics planning and optimization. A unified planning horizon was developed to connect stakeholders, improving visibility and resource allocation. Optimized workflows ensured leak-proof freight management.
Outcomes
The implementation resulted in 100% agility and scalability, a 50% increase in resource productivity, and improved efficiency by 15-20%. Freight costs reduced by up to 1%, and real-time operational visibility was achieved across all transportation modes.
Challenges
Challenges included lack of support from internal change management teams, resistance to new processes, and difficulty in aligning cross-functional teams with senior leadership.
Innovation
Innovations included a fully digital freight process, integrating vehicle tracking, visibility within plants, and a streamlined payment process, enhancing productivity and operational efficiency.
Opportunities
Future opportunities include expanding the system with Fast Tag integration, further improving vehicle tracking, and enabling real-time visibility for all stakeholders.
Summary
This project successfully transformed logistics operations, improving efficiency, reducing costs, and enhancing visibility through digital integration and innovative solutions.
For more information, please contact:
Rajneesh Bansal at rajneesh.bansal@adaniwilmar.in
(The content on the page is provided by the Exhibitor)