Manufacturing
Noreja's innovative Process Intelligence approach and Manufacturing are made for each other. With the ability to uncover deep structural problems across data and systems, we can solve a variety of common problems in the industry. Now we present some application areas where our solution can make your organization's processes leaner and more effective!
Procurement Optimization
Optimizing efficiency through reduction of manual activities
Procurement optimization through Process Mining focuses on improving the efficiency of purchasing and supplier management processes. By analyzing procurement workflows, manufacturing companies can identify procurement delays, supplier bottlenecks, or recurring bottlenecks (e.g., in approvals or releases) that slow down the supply chain. Process analysis can, for example, reveal frequent delays with certain suppliers or anomalies in approval cycles. By optimizing procurement processes, manufacturers can shorten lead times, negotiate better supplier terms, and ensure timely availability of raw materials. This ultimately leads to cost savings and more flexible production processes.
Defect & Waste Reduction
Reducing time-intensive steps and rework
Reducing defects and waste through Process Mining focuses on identifying inefficiencies that lead to product defects and material waste. By analyzing production workflows and quality control data, manufacturing companies can identify the phases or points where errors occur most frequently or where too much material is consumed. Process Mining can uncover recurring problems, such as equipment malfunctions or incorrect machine settings that lead to deviations from quality standards. By eliminating these inefficiencies, manufacturers can reduce the scrap rate, improve product quality, and lower overall production costs, leading to a more sustainable and profitable operation.
Working Capital Management
Optimizing payment cycles and intelligent prioritization
Working capital management using Process Mining focuses on optimizing the flow of capital tied up in operations, such as inventory, liabilities, and receivables. By analyzing financial transactions and operational data, companies can identify inefficiencies in payment cycles or excess inventory that burden cash flow. For example, Process Mining can reveal delays in invoicing or sluggish supplier payments that affect working capital. When these issues are addressed, manufacturers can improve their liquidity, reduce financing costs, and invest more efficiently in growth and innovation.
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Shop-Floor Optimization
The optimization of shop floors through Process Mining improves operational efficiency in production by uncovering bottlenecks and inefficiencies, thereby increasing throughput, shortening lead times, and reducing costs.
Demand and Output Forecast
In demand and production forecasting in manufacturing, Process Mining is used to analyze historical data, improve forecast accuracy, optimize production plans, and reduce inventory costs.
Warehouse Management
In inventory management in manufacturing, Process Mining is used to optimize inventory levels, reduce storage costs, avoid production delays, and improve cash flow.
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