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+ Overview
+A project-focused discrete-event simulation toolkit for studying duration risk, bottlenecks, and resource plans.
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+ What it does
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- Model activities as processes (generator functions) that request resources and do work. +
- Represent crews/equipment as resources with capacity, priorities, and (optionally) preemption. +
- Use distributions (triangular, beta, empirical, …) for realistic task durations. +
- Produce tables for schedules, queues, waiting times, and utilization—plus optional dashboards. +
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+ Interactive poster
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- Click any figure (diagram/code) to zoom and read the caption. +
- Use the sticky navigation to jump between panels. +
- All figures are generated (Mermaid) to stay lightweight. +
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+ Building blocks
+SimPM maps core DES ideas to practical project-management objects.
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+ Core objects
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- Environment: simulation clock + event scheduler (e.g., env.now). +
- Entity: a work item (task, truck, activity) with attributes and a schedule. +
- Resource: crew/equipment/workspace capacity with queueing and logging. +
- Distributions: duration uncertainty passed directly to Entity.do. +
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+ Workflow
+Write a model in Python → run the environment → analyze logs → (optionally) open a dashboard.
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+ Modeling: activities, resources, distributions
+Model logic using get/do/put; add priority or preemption when needed.
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+ Common patterns
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- Resource contention: entities queue when capacity is unavailable. +
- Priorities: urgent tasks jump ahead in the queue. +
- Preemption: high-priority work can interrupt lower-priority usage. +
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+ Engine: process-based DES
+Processes yield actions; the environment advances time from event to event.
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+ Why DES
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- Efficiently represents queues and limited crews without stepping through every second. +
- Supports stochastic durations for schedule risk and Monte Carlo experiments. +
- Produces explicit waiting/working intervals, enabling bottleneck analysis. +
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+ Outputs: logs and dashboards
+SimPM produces pandas-friendly tables for schedules and resource performance; dashboards are optional.
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+ Examples
+Minimal activity, distributions, and dashboard mode.
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+ Install
+pip install simpm +pip install simpm[dash]+ +
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