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Industry experience

Supply Chain

Production, inventory, warehouse and delivery decisions whose effects become visible only end to end.

Anonymised portfolio applications

04

No client names or exact result figures are published.

Typical challenges

  • Optimise inventory mix
  • Compare push and pull rules
  • Evaluate warehouse capacity
  • Test replenishment strategies
  • Balance delivery performance and working capital

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 supply chain

    Inventory and investment decisions with constrained storage

    Business challenge
    How should inventory, push/pull rules and the timing of additional capacity interact when storage is constrained?
    Business outcome tested
    The model compared replenishment, inventory and investment scenarios and showed their effects on stock, utilisation and delivery flow.

    Typical KPIs

    • Inventory and WIP
    • Lead time
    • Capacity and utilisation
    • Revenue and margin
  • Aerospace logistics

    Warehouse and supply-concept selection

    Business challenge
    Which push/pull and supply concept fits the process dependencies, system support and required response time?
    Business outcome tested
    The model compared logistics concepts, exposed dependencies and structured the decision about further implementation.

    Typical KPIs

    • Lead time
    • Inventory
    • Utilisation
    • Delivery performance
  • Power generation

    Operating model for port and fuel logistics

    Business challenge
    How do unloading, stockpiles, equipment, ordering rules and staffing respond to fluctuating demand and disruption?
    Business outcome tested
    The model quantified operational drivers, located a constraint and compared availability, ordering, staffing and outsourcing scenarios.

    Typical KPIs

    • Vessel waiting and berth time
    • Availability
    • Inventory and quality
    • Shifts and overtime
    • Penalties
  • 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

Problem Check

Which business decision needs a more reliable basis?

Describe the challenge, affected process and timeframe. In an initial Problem Check, we clarify which questions a dynamic model should answer.

Or write directly to the relevant area

Discuss transformation

For operational questions, transformation mandates, ERP and digital programmes, and benefits validation.

peter.somos@somos-co.com

Discuss digital delivery

For applications, platforms, IoT and digital-twin work, and managed operations.

vencel.somos@somos-co.com