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Multi-Scenario Production Planning

Adapt to change with factory.online’s multi-scenario planning. Simulate JIT, ASAP, and hybrid strategies to optimize capacity, reduce inventory, and respond to real-world constraints.

Updated over 4 months ago

Plan Smarter. Adapt Faster.

In manufacturing, no single planning strategy fits every situation. That’s why factory.online empowers you with a multi-scenario planning engine that lets you model, simulate, and adapt your production plan in real time.

Whether you prefer Just-in-Time (JIT) to reduce inventory or As-Soon-As-Possible (ASAP) to maximize throughput, the system adapts to your reality.

Why Multi-Scenario Planning?

Markets shift. Suppliers delay. Orders change. A static plan becomes obsolete in hours.

factory.online lets you model different planning approaches:

  • Compare outcomes

  • Identify bottlenecks

  • Choose the best-fit strategy

Supported Planning Scenarios

Just-in-Time (JIT)

  • Plan production as close to due date as possible

  • Reduces frozen inventory and warehouse space

  • Ideal for make-to-order or short-shelf-life products

As-Soon-As-Possible (ASAP)

  • Utilizes all near-term available capacity

  • Pulls future orders forward if there’s free machine time

  • Maximizes shopfloor utilization

Hybrid Rules & Priority Models

  • Prioritize VIP customers for ASAP, others for JIT

  • Define mixed strategies based on lead time or order type

Smart Algorithms. Real Impact.

The planner can:

  • Run simulations across weeks/months

  • Model new machines, overtime, or alternate shifts

  • See the effect of delayed materials or constrained labor

The system checks:

  • Material availability (based on forecast, PO, lead times)

  • Capacity per work center

  • Labor qualification & load

Visual Insights

  • Weekly load charts

  • Material constraint highlights

  • Scenario comparisons side-by-side

Benefits

  • Make fast, confident scheduling decisions

  • Align production with real-world limitations

  • Reduce chaos from sudden changes

Simulate it. Compare it. Choose it. Execute it. All in one system.

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