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amentis Use Case Scenario Manager

The Scenario Manager

Capacity planning with amentis solutions

Step 1 – Creating facts

A made-to-measure data model is created so that your scenario planning setup is targeted and useful – with structures that adapt to changing framework conditions.

Flexible data model

The basis of all planning is good data quality. Despite of that the data model should not limit to the usability of the application by providing structures that are simply not flexible enough.

A made-to-measure model

Our technology enables you to summarize all planning-relevant structures and hierarchy levels in a made-to-measure model. This ensures that information relevant for planning can be mapped across all industries and ERP systems.

Various interfaces

Your data can be uploaded in the system via the interfaces provided or entered directly into the system. Data updating is done by means of table grids that can be operated intuitively or in detailed forms.

Useful functions

The consistency checks and mass maintenance functions provided, help you create the basis for good planning results.

Step 2 – Maintaining transparency

You review capacity utilization at any aggregation level and focus on what is important without losing sight of the overall context. Through immediately accessing the detailed analysis, you are in a position to identify measures that form the basis of your scenario planning.

Analytics Function

Having defined the basis for any planning through the creation and maintenance of master data and demands, the product segment can be checked for potential capacity bottlenecks and suboptimal utilization. For this purpose, the Analytics Function of the Scenario Manager provides a combined data view made up of graphic analysis charts and a dynamic tableau view.

Visualizing and Drag & Drop

An overview chart allows you to identify at one glance capacity bottlenecks in the selected data clusters across the entire forecast horizon. Via Drag & Drop the observation period within the charts can be dynamically limited to the relevant periods of time. This means that you can focus on the relevant space of time.

Graphic in-depth analysis

For a detailed analysis, you are provided with graphic elements in which you can review the data independently from another, which have been earlier limited in the overview chart. Capacity requirements can be aggregated, particularized and compared via a drop-down menu in accordance with all product, location, machine and BoM attributes as specified in your data model.

Cause and effect

This multidimensional view of capacity utilization means maximal transparency regarding cause and effect of the current capacity as well as in comparison with potential solution scenarios.

At a glance

In the planning tableau, you find detailed information for the defined period under review. Simply alter – via Drag and Drop – the aggregation of the key figures in accordance with all available products, customers and capacity properties to obtain all relevant information to recognize conflict situations and identify their causes.

Step 3 – Comparing alternative scenarios

What-if analyses allow you to compare alternative scenarios with each other. With this appropriate information basis, you safely derive the next solution strategy.

Testing alternative approaches

To resolve bottlenecks and conflicts, the Scenario Manager provides the option of developing alternative solution strategies and to verify these from the perspective of feasibility and impact on the capacity situation.

What-if scenarios

In the Scenario Planning UI you can define multiple What-If scenarios based on the current planning situation and compare the results with the help of various graphic visualization elements.

Multidimensional forecasting

Multi-dimensional forecasting means you can alter and combine the relevant dimensions of your planning for each scenario. For example the simulation of forecast changes, changes in capacity caused by the addition or deletion of production resources, changes to performance parameters or the planning of alternative shift models or resource allocation at all production levels.

Automatic proposals

To reduce the manual effort for planners, the integrated “line balancing” functionality generates automated proposals for alternative production routings in order to solve capacity bottlenecks.

Efficient decision-making

The scenario analysis screen enables you with it’s different graphical elements, to make a easy and fast comparison of the simulated solution strategies and thus promotes efficient decision-making. If a preferred solution is found you can extract, bypressing a button, the data on which the “optimal” scenario is based and integrate it into the leading ERP system.

Step 1 – Creating facts

You review capacity utilization at any aggregation level and focus on what is important without losing sight of the overall context. Through immediately accessing the detailed analysis, you are in a position to identify measures that form the basis of your scenario planning.

 

Flexible data model

The basis of all planning is good data quality. Despite of that the data model should not limit to the usability of the application by providing structures that are simply not flexible enough.

A made-to-measure model

Our technology enables you to summarize all planning-relevant structures and hierarchy levels in a made-to-measure model. This ensures that information relevant for planning can be mapped across all industries and ERP systems.

Various interfaces

Your data can be uploaded in the system via the interfaces provided or entered directly into the system. Data updating is done by means of table grids that can be operated intuitively or in detailed forms.

Useful functions

The consistency checks and mass maintenance functions provided, help you create the basis for good planning results.

Step 2 – Maintaining transparency

You review capacity utilization at any aggregation level and focus on what is important without losing sight of the overall context. Through immediately accessing the detailed analysis, you are in a position to identify measures that form the basis of your scenario planning.

 

Analytics Function

Having defined the basis for any planning through the creation and maintenance of master data and demands, the product segment can be checked for potential capacity bottlenecks and suboptimal utilization. For this purpose, the Analytics Function of the Scenario Manager provides a combined data view made up of graphic analysis charts and a dynamic tableau view.

Visualizing and Drag & Drop

An overview chart allows you to identify at one glance capacity bottlenecks in the selected data clusters across the entire forecast horizon. Via Drag & Drop the observation period within the charts can be dynamically limited to the relevant periods of time. This means that you can focus on the relevant space of time.

Graphic in-depth analysis

For a detailed analysis, you are provided with graphic elements in which you can review the data independently from another, which have been earlier limited in the overview chart. Capacity requirements can be aggregated, particularized and compared via a drop-down menu in accordance with all product, location, machine and BoM attributes as specified in your data model.

Cause and effect

This multidimensional view of capacity utilization means maximal transparency regarding cause and effect of the current capacity as well as in comparison with potential solution scenarios.

At a glance

In the planning tableau, you find detailed information for the defined period under review. Simply alter – via Drag and Drop – the aggregation of the key figures in accordance with all available products, customers and capacity properties to obtain all relevant information to recognize conflict situations and identify their causes.

Step 3 – Comparing alternative scenarios

What-if analyses allow you to compare alternative scenarios with each other. With this appropriate information basis, you safely derive the next solution strategy.

 

Testing alternative approaches

To resolve bottlenecks and conflicts, the Scenario Manager provides the option of developing alternative solution strategies and to verify these from the perspective of feasibility and impact on the capacity situation.

What-if scenarios

In the Scenario Planning UI you can define multiple What-If scenarios based on the current planning situation and compare the results with the help of various graphic visualization elements.

Multidimensional forecasting

Multi-dimensional forecasting means you can alter and combine the relevant dimensions of your planning for each scenario. For example the simulation of forecast changes, changes in capacity caused by the addition or deletion of production resources, changes to performance parameters or the planning of alternative shift models or resource allocation at all production levels.

Automatic proposals

To reduce the manual effort for planners, the integrated “line balancing” functionality generates automated proposals for alternative production routings in order to solve capacity bottlenecks.

Efficient decision-making

The scenario analysis screen enables you with it’s different graphical elements, to make a easy and fast comparison of the simulated solution strategies and thus promotes efficient decision-making. If a preferred solution is found you can extract, bypressing a button, the data on which the “optimal” scenario is based and integrate it into the leading ERP system.

You got curious and would like to learn more about capacity planning with the Scenario Manager? Use the contact form to write to us or learn more about the Scenario Manager on our website.

Questions? Interested? Get in touch!