This is the era of ultra-rapid change and ever-increasing complexity in Production. Utilize Process Mining and cut costs, guarantee quality, and minimize scrap while satisfying customer demand
0%
increase
of adherence to schedule
0%
reduction
of waste
Unlock Your Full Potential in Production
It is important to know when a production order will be completed or how quickly a new production order can be started. That is why Processand ensures complete process transparency in production, so you could make proactive decisions. By utilizing Process Mining, identify and remove execution gaps that get in the way of accurate production planning, seamless assembly lines, and optimal machine utilization. Don’t wait around, make value driven decisions and become the market leader.
How we help
Processand’s expertise ensures business process optimization and immediate value generation in production
Process Mining Use Cases
Swipe for processes
Production Planning
Inventory Management
Extended Warehouse Management
Adherence to Schedule and Quantity
inefficiency / challenge
- Deviations between the planned and actual start date, end date and quantity are common in the production process.
- Quantity drop across several production steps.
- Deviatons to schedule hinder accurate production planning and leads to a deterioration in delivery reliability as well as distortions in supply chains
solution and targeted outcome
- Implement an analysis to create transparency on adherence to schedule and deviations between target and actual production start and end dates.
- Implement an analysis on quantity adherence and deviations between different production steps.
- Investigate all cases in detail where deviations from the target date occur.
- Optimize planning quality and increase working capital.
business objectives
- Operational Cost Reduction
- Ensure Quality
- Mitigate Risk
core KPIs
- Adherence to Schedule
- Adherence to Quantity
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Waste Reduction
inefficiency / challenge
- Wasted materials cause costs without any benefit.
- Often the actual share of material waste is significantly higher than planned.
- Companies lack accurate overview of their material waste.
solution and targeted outcome
- Monitor your material waste in real time.
- Find bottlenecks in your production process.
- Apply analyses to identify problem drivers and execute targeted action to minimize your material waste.
business objectives
- Operational Cost Reduction
core KPIs
- % Actual Good Quantity
- % Planned Good Quantity
- % Material Waste
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Target vs. Actual Operation Times
inefficiency / challenge
- Deviations in target and actual time at the operational level.
- Creating and evaluating a transparent analysis of the target/actual times at the operational level.
solution and targeted outcome
- The analysis provides a target/actual comparison of such times.
- Investigate time, costs, process flow, etc. of operations.
- Monitor and analyze root causes of deviations.
business objectives
- Spend Optimization
- Labor Productivity
core KPIs
- Target Time of Operation
- Actual Time of Operation
- Absolute Deviation
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Shopload Planning
inefficiency / challenge
- A lack of transparency on how many production orders have been produced, booked, planned and delivered.
- Inefficiencies in production planning as well as suboptimal utilization of production capacities.
solution and targeted outcome
- Detailed overview of the number of delivered, produced and booked production orders over time.
- Real-time tracking ensures that the production plan is adhered, and that production capacity is optimally utilized.
business objectives
- Spend Optimization
core KPIs
- # Delivered
- # Booked
- # Produced
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Incorrect Production Orders
inefficiency / challenge
- Production orders may not always contain the correct quantity of every component and sometimes even incorrect components may be included.
- This might be due to wrong object dependencies, errors in BOMs, mistakes in order picking or wrongly provided material by the supplier.
solution and targeted outcome
- Process Mining creates transparency about change activities in production orders.
- It enables you to analyse root causes of back-posted orders and the business impact based on manual effort and its costs.
business objectives
- Operational Cost Reduction
- Labor Productivity
core KPIs
- # of Back-Posted Orders
- # of Back Postings
- Total Back-Posted Value
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Inventory Correction Activities
inefficiency / challenge
- Inventory corrections cause unnecessary manual efforts.
- Failures in the bill of material (BOM).
- Lack of transparency during the ramp up / ramp down phases and manual activities in the picking process.
solution and targeted outcome
- Display quantity, materials and time effort of inventory posting activities.
- Track potential monetary savings by quantifying costs for these activities.
- Analyze causes based on time, plants, materials and material movements.
business objectives
- Spend Reduction
- Labor Productivity
core KPIs
- Effort of Corrections
- Potential Savings
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Delivery Delay Prediction
inefficiency / challenge
- Deliveries arrive at the warehouse too early or too late.
- Inefficiencies within warehouse management due to clarification effort.
- Inefficiencies in the production pipeline due to material non-availability.
solution and targeted outcome
- Machine Learning algorithm for delivery delay prediction.
- Real-time monitoring of delivery delays to target on-time delivery.
- Automating the notification of stakeholders involved.
business objectives
- Supply Reliability Production
- Planning Improvement
- Working Capital
core KPIs
- Early Recognition of Supply Chain Issues
- Automatic Root-Cause Analysis of Delays (beta)
read more
Learn More About Process Mining.
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Begin Your Process Mining Implementation
With over 450 process implementations, we know exactly what the crucial parts of a successful Process Mining initiative are
Patrick Bogner
Data Science Team Lead
