Advanced Scenarios
Advanced Manufacturing Statistics can be used for more than simply reviewing production costs. By combining net weight calculations, cost categorization, and overhead analysis, organizations can gain valuable insights into manufacturing performance, profitability, and operational efficiency.
The following scenarios illustrate some of the most common advanced use cases.
Analyzing Cost per Kilogram of Finished Product
Business Challenge
A manufacturer wants to understand the true production cost per kilogram of finished product rather than evaluating costs solely based on production quantity.
Solution
Using the Net Weight View, Advanced Manufacturing Statistics calculates production costs based on the theoretical output weight of finished goods.
This allows users to:
- Compare production batches with different output quantities.
- Evaluate profitability based on actual product weight.
- Monitor trends in weight-based production costs.
- Identify products with unusually high production costs per kilogram.
Business Value
Weight-based costing provides a more meaningful cost analysis for food, beverage, and process manufacturing environments where profitability is strongly linked to product weight.
Identifying Major Cost Drivers
Business Challenge
Production costs continue to increase, but it is unclear whether materials, labor, machine time, or overheads are responsible.
Solution
Use the Cost Category View to analyze production costs by category. Costs can be segmented into:
- Material Costs
- Capacity Costs
- Manufacturing Overhead Costs
- Capacity Overhead Costs
- Subcontracting Costs
Business Value
Organizations can quickly identify the categories responsible for cost increases and focus improvement initiatives on the areas delivering the greatest savings potential.
Evaluating Overhead Allocation
Business Challenge
Management wants to understand how indirect manufacturing costs contribute to product costs.
Solution
Configure Manufacturing Overhead Categories and Capacity Overhead Categories and review the resulting Production Order Statistics.
Advanced Manufacturing Statistics separates direct costs from overhead costs, making overhead consumption more visible.
Business Value
This analysis helps validate costing structures and improves transparency when explaining production costs to finance and management teams.
Comparing Similar Production Orders
Business Challenge
Two production runs for the same product generate different cost results and management wants to understand why.
Solution
Review the Production Order Statistics for each production order using both the Net Weight View and the Cost Category View.
Analyze differences in:
- Material consumption
- Capacity usage
- Overhead allocation
- Cost category contribution
- Weight-based production costs
Business Value This approach helps identify inefficiencies, process variations, or unexpected cost drivers between production batches.
Validating Manufacturing Cost Structures
Business Challenge
A company has recently updated overhead rates, indirect costs, or costing methods and needs to verify the impact on production costs.
Solution
Analyze newly released production orders using AMS and compare the results with historical production data.
Focus on:
- Manufacturing Overhead Costs
- Capacity Overhead Costs
- Indirect Cost allocations
- Overall production cost impact
Business Value
This validation process helps ensure that costing changes produce the expected financial results and that cost allocations remain accurate and consistent.
Multi-Department Cost Transparency
Business Challenge
Operations and Finance teams require a common view of manufacturing costs but often focus on different metrics.
Solution
Advanced Manufacturing Statistics provides a shared framework where production costs can be analyzed from multiple perspectives, including operational performance, weight-based efficiency, cost categories, and overhead allocation.
Business Value
A common costing framework improves collaboration between departments and supports more informed business decisions.