MJF Buy vs. Outsource Simulator

Evaluate capital purchases for HP Multi Jet Fusion printers versus outsourcing. The tool samples demand, uptime events, labour limits, and supporting infrastructure costs to reveal savings distributions, turnaround gains, and break-even confidence.

Tool Purpose & README

Purpose

This simulator estimates the economic and schedule impact of bringing MJF production in-house. It blends capital expenses, Monte Carlo demand modelling, downtime risks, labour availability, and supporting infrastructure costs to highlight when internal builds outperform outsourcing.

How It Works

  • Leverages simulate_mjf_breakeven in pycalcs/manufacturing.py to run Monte Carlo trials.
  • Captures print/cooldown cycle time, operator bandwidth, and annual supporting OPEX.
  • Produces cumulative cost envelopes for outsourced, in-house, and hybrid demand mixes plus a representative event log.
  • Summarises each machine-count scenario with percentile savings, break-even likelihood, and cost breakdowns.

Usage Tips

Populate demand statistics, uptime expectations, and labour availability using your programme data. Group supporting capital (depowdering, ventilation, electrical) into the capital field and recurring utilities into the OPEX field. Adjust the hybrid outsourcing slider to explore mixed sourcing strategies.

Inputs

Capital & Horizon

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Demand & Cycle Time

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Availability & Labour

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Cost Structure & OPEX

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Sourcing Strategy

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The hybrid line in the plot forces this share of demand to stay external even when internal capacity exists.

Key Results

Enter inputs and run the simulation to populate metrics.

Cost Comparison

Scenario Snapshot

    Representative Year Log

    Run the simulation to view a representative Monte Carlo year.

    Underlying Principles

    General principles and theory will load here from the docstring.