Flexible & Reliable SQL Services to
Fully Manage Your Databases
Work with our certified bench of SQL database experts to reduce
downtime and outages in your databases.
SQL Solutions
Supercharge Your Data with Comprehensive Solutions
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SQL Solutions
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SQL Managed Services
SQL Managed Services
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SQL Server Performance Tuning
SQL Server Performance Tuning
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SQL Database Health Checks
SQL Database Health Checks
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Microsoft SQL Server Configuration
Microsoft SQL Server Configuration
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Server Patching
Server Patching
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Database Migration
Database Migration
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Cloud Cost Management
Cloud Cost Management
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SQL Server Consulting
SQL Server Consulting
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Database DevOps
Database DevOps
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SQL Server Data Object Development
SQL Server Data Object Development
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SQL Server Analysis Services (SSAS)
SQL Server Analysis Services (SSAS)
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SQL Server Reporting Services (SSRS)
SQL Server Reporting Services (SSRS)
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SQL Server Integration Services (SSIS)
SQL Server Integration Services (SSIS)
SQL Managed Services
SQL Server Performance Tuning
SQL Database Health Checks
Microsoft SQL Server Configuration
Server Patching
Database Migration
Cloud Cost Management
SQL Server Consulting
Database DevOps
SQL Server Data Object Development
SQL Server Analysis Services (SSAS)
SQL Server Reporting Services (SSRS)
SQL Server Integration Services (SSIS)
Why work with Accelerance Partners?
Why Choose Accelerance for Efficient SQL Software Solutions?
Why Choose Us?
Expect a holistic approach that combines technical prowess with a client-centric ethos, resulting in optimized SQL environments that meet your strategic business goals. Leveraging cutting-edge technologies and best practices, we ensure your organization stays at the forefront of innovation. Our certified partners excel in efficient database design, optimizing structures, and employing best practices for enhanced performance.
- Seasoned Professionals: Our team comprises consultants with deep experience in crafting robust SQL solutions.
- 24/7 Support: Get around-the-clock assistance to ensure prompt resolution of issues and continuous system monitoring.
- Proven Track Record: We have consistently delivered optimal solutions tailored to unique requirements.
- Scalability: Our solutions adapt to the evolving needs of businesses as they grow and expand.
- Transparent Communication: Our team keeps clients informed at every stage of the project through open communication.
Leveraging AI and ML for Predictive Maintenance and Paper Manufacturing Company
Minimizes downtime through proactive maintenance.
Overview
The client is a big paper producer, but faced challenges because of expensive maintenance and machines breaking down unexpectedly.
Minor maintenance was carried out every six years at a cost of $3.4M, and major maintenance was performed every 12 years, costing around $7M. Additionally, the company had to halt operations for ten days every year to meet regulatory requirements. Therefore, they reached out for AI consulting services.
Industry
Manufacturing
Challenges
Urgent and expensive maintenance: The company faced challenges in predicting which machines required maintenance in advance, resulting in the need for urgent and more expensive maintenance services.
Third-party managed solution: The company attempted to resolve the issue by implementing a third-party managed solution for some machines. However, the high costs associated with this solution prevented scalability across the entire factory.
Engagement of an IT consulting and services provider: To address the challenge, the company engaged an experienced IT consulting and services provider.
The consulting firm used AI and ML to help the company analyze machine behavior and identify small problems early on.
Accurate and efficient maintenance: By detecting minor issues in advance, the company was able to perform maintenance more accurately and efficiently during the obligatory ten-day shutdowns.
Increased interval for major maintenance: The implementation of AI and ML technologies allowed for an increased interval between major maintenance activities, improving overall productivity and performance for the manufacturer.
Solutions
- Comprehensive data exploration: The partner conducted a thorough exploration of the data's characteristics before commencing the project.
- Highly scalable solution: AWS SageMaker was utilized to devise a scalable solution that enabled the application of tailored predictive models to multiple machines within the factory. This innovative approach enhanced cost efficiency and eliminated costly and non-scalable third-party contracts.
- Thorough data preprocessing: Data was preprocessed comprehensively to prepare it for the DeepAR model.
- Effective model selection: The most effective model was identified through model selection based on the mean absolute error metric.
- DeepAR forecasting algorithm: A deep learning model utilizing the DeepAR forecasting algorithm was implemented to generate forecasts for multiple time series using 92 different time series sourced from various factory sensors.
- Our partner undertook a meticulous fine-tuning process to systematically explore different hyperparameters and enhance model performance.
- After training, a flexible pipeline was created to make it easier to create models for various sensors and machines.
- Model retraining: The pipeline facilitates model retraining, ensuring that forecasts become increasingly precise over time.
- Continuous improvement: e-Core's implemented pipeline supports the iterative process of continuous improvement for machine learning models.
Results
- Increased operational efficiency: Predictive maintenance minimizes downtime by allowing for the prediction of sensor values and proactive maintenance.
- This leads to a longer lifespan for machinery, reducing downtime and boosting productivity, resulting in significant long-term cost savings.
- Implementing AI strategy like predictive maintenance extends maintenance intervals, resulting in an extended equipment lifespan. Maintenance that used to occur every 6 years can now occur every 8 years. Additionally, maintenance that used to occur every 12 years can now occur every 15 years. This can yield cost savings of up to almost $260,000 for a single piece of equipment.
- Less unplanned downtime: Accuracy rates of 80% or more in predicting maintenance needs greatly reduce unplanned downtime. Conservative estimations suggest a reduction of about 20% to 40%.
- Financial impact and ROI: Companies embracing predictive maintenance can expect significant cost savings. For a project with an investment cost of around $70,000, the company forecasts cost-savings of almost $850,000 per year. The investment payback is estimated to occur within 6-8 months.
Frequently Asked Questions
Explain the meaning of SQL and what it signifies.
SQL is an acronym for Structured Query Language, a domain-specific language for managing and manipulating relational databases. The language allows for the efficient management, retrieval, and manipulation of data stored within these databases.
What is T-SQL Programming?
T-SQL, or Transact-SQL Programming, refers to the extension implemented by Microsoft and Sybase. The extension encompasses features like transaction control, row processing, the use of declared variables, and exception handling.
What is the difference between Microsoft SQL and MySQL?
Both are relational database management systems, but they differ in terms of ownership, licensing, and functionality. MySQL serves as the underlying technology for data storage, and SQL is utilized for tasks such as reading, modifying, and deleting the stored data in these structured tables.
What is an SQL Operator?
The operator refers to a reserved word or character within SQL expressions to perform operations on one or more expressions in SQL statements. Examples include SQL Except, Like with characters like SQL Wildcard, etc.