Type
Smart Manufacturing and Supply Chain Management System
Objective
A prominent manufacturing enterprise engaged Adorebits to change its supply chain and production. It sought to be integrated into a smart manufacturing and supply chain management system where they could experience improved efficiency and reduced operational costs, with all the stages of production and logistics well integrated. The core goal was related to establishing the system data-driven for improvement in automation and prediction of requirements for maintenance toward best achievement through optimization on the supply chain through real analytics.
Technologies
SAP, .NET, C#, SQL, AWS, Docker
Country
United States
Project Attributes
Engagement Model
Dedicated Team Engagement
Duration
10 months
App Users
Factory managers, supply chain coordinators, inventory managers, and warehouse staff
Challenges
- Complex integration: Client faced the complications related to the integration of
the supply chain involving raw material procurement, production planning, and
distribution. - Data Silos: The whole logistics and inventory system information of the plant
often had a silo structure, in which information was locked away and relatively
inaccessible; hence, decisions were sometimes difficult to make in real-time. - Manual Operations and Downtime: Most of the manufacturing operations were
controlled manually, which meant that the detention time was quite high along
with higher operating costs due to unscheduled maintenance. - Poor stock control over the involved materials: overstocking or understocking
resulted from poor forecasting. - Poor Scalability: The systems implemented did not have scalability at an
appropriate level as there was growth in business and changes in the demand
patterns of the company.
Solutions
- End-to-End Integration with SAP: The company, Adorebits, used SAP to
establish an integrated platform for the supply chain, incorporating many aspects
including inventory, procurement, and production. - Custom application for real-time data processing on .NET: This was
a.NET-based application, developed through C#, for real-time data processing
from the shop floor - Chain of Data: This large collection of manufacturing and supply chain data was
duly stored and retrieved using optimized SQL databases. - Scalable Cloud Infrastructure on AWS: Adorebits moved the system to AWS
for scalability and greater flexibility in changing its infrastructure dynamically
under the needs of the business company. - Containerization with Docker: Applications were containerized with the use of
Docker, which made the system modular, easy to deploy, and maintain across
different environments.
Results:
- Improved Efficiency: By integrating SAP with .NET and AWS, the company experienced a 30% improvement in overall manufacturing efficiency.
- Reduced Downtime: Predictive analytics, powered by real-time data processing and machine learning, reduced unplanned downtimes by 25%.
- Optimized Inventory Management: Inventory levels were better managed, resulting in a 20% reduction in overstocking and a 15% reduction in material shortages, saving operational costs.
- Scalability and Flexibility: The cloud infrastructure provided by AWS and Docker containerization allowed the system to scale efficiently.
- Enhanced Operational Control: Factory managers and supply chain coordinators could now track and control every aspect of the manufacturing and distribution process through the customized .NET dashboard, leading to improved decision-making.
Conclusion:
Adorebits’ Smart Manufacturing and Supply Chain Management System empowered the client with the tools necessary to thrive in an increasingly competitive market by streamlining operations and improving data-driven decision-making processes.