Industry experience

Manufacturing

Multi-stage production systems in which constraints, sequencing, equipment availability and skills determine end-to-end flow.

Anonymised portfolio applications

No client names or exact result figures are published.

Typical challenges

Locate bottlenecks
Improve production sequencing
Use equipment and skills effectively
Test capacity decisions
Increase throughput without local optimisation

Relevant Somos-Co capabilities

Selected applications

Documented decision questions from practice

The examples are anonymised and summarised qualitatively. They describe modeling questions, scenarios and KPI types—not verified client outcomes.

Chemical manufacturing
Production-site capacity and performance
Business challenge
How do capacity alternatives affect production volume, margin, unit cost and lead time across the whole system?
Business outcome tested
The model compared capacity scenarios and made the interactions between volume, process flow, cost and performance visible.
Typical KPIs
- Production volume
- Margin and EBIT
- Lead time
- Variable unit cost
Plastics production
Production routing and capacity decisions
Business challenge
Which combination of process route, speed, availability, skills and investment supports the most robust production flow?
Business outcome tested
The scenarios set routing and capacity levers against their effects on responsiveness, resource use and financial performance.
Typical KPIs
- Throughput
- Revenue and margin
- Lead time
- Availability and utilisation
Sensor assembly
Assembly bottleneck and routing analysis
Business challenge
Where do resources constrain assembly flow, and in which sequence should process or capacity alternatives be tested?
Business outcome tested
The model located constraints, compared solution sequences and made the associated resource loading transparent.
Typical KPIs
- Throughput
- Lead time
- Resource utilisation
- Revenue and gross margin
Metals fabrication
Constraint-removal sequence
Business challenge
Which constraint should be addressed first so that a local change actually supports system flow?
Business outcome tested
The simulation made the constraint sequence visible and provided a shared decision basis for prioritising interventions.
Typical KPIs
- Throughput
- Utilisation
- Bottleneck position
- Queues
Renewable-energy equipment
Production and supply-chain responsiveness
Business challenge
Which production and inventory rules support short response times across different demand and product structures?
Business outcome tested
The scenarios compared network, production and inventory rules and prepared a qualitative steering recommendation.
Typical KPIs
- Customer lead time
- WIP
- Manufacturing cost
- Inventory turns
- Revenue

Relevant solutions

Documented capability
Digital Twin Solutions
Represent business processes and physical systems digitally, compare scenarios and test decisions before implementation.
Explore the solution