SIMLOX - Ensuring Performance

SIMLOX is advanced logistics simulation software used by US defense contractors and DoD program offices to evaluate fleet readiness and logistics performance before decisions are locked in. Designed for defense, aerospace, and asset-intensive programs, SIMLOX runs discrete event simulations of technical systems, operations, and maintenance – giving program managers and logisticians the ability to validate support concepts, test contingency scenarios, and confirm that availability targets can be met across DoD operational requirements. Used in support of US Army, Navy, and Air Force sustainment planning, SIMLOX provides the evidence base needed to justify support solution decisions under competitive acquisition and PBL environments.

Performance Questions SIMLOX Answers for US Defense Programs

SIMLOX provides fast, evidence-based answers to the readiness and logistics performance questions that drive DoD sustainment decisions:

•  Do I have enough systems and support resources to handle planned operational requirements – including surge and deployment scenarios?
• How will fleet availability vary over time across a multi-year operational phase or deployment cycle?
• What is the expected total downtime for a given operational period, and how does it compare to contract availability thresholds?
• What components and subsystems are the primary drivers of downtime, and where should maintenance investment be prioritized?
• How will the support solution perform under peak operational tempo or emergency activation scenarios?
• What is the probability of meeting stated performance targets – such as mission capable rates or operational availability thresholds?
• How will a proposed cost-saving measure – such as reducing forward-positioned spare stock – impact fleet readiness?
   

System Capability Evaluation Under US Operational Requirements:

SIMLOX enables DoD program offices and prime contractors to evaluate whether a system meets its intended capabilities across multi-purpose, multi-mission platforms:

• Does the system meet required operational capabilities across its full mission set – including multi-purpose platforms such as naval vessels and multi-role aircraft?
• Where are the gaps between contract performance requirements and modeled capability delivery?
• Which equipment is non-mission-capable most frequently, and how does it impact overall readiness against DoD thresholds and objectives?
• Where should maintenance attention be focused to address the most critical downtime drivers under current operational demand?
• Can stated performance requirements be met – for example, a 75% mission capable rate for a tactical aircraft fleet or a 90% operational availability target for a naval surface combatant?
• What is the system's capability profile at any point in a scenario – during active missions, planned maintenance, and unscheduled maintenance events?
   

Support Solution Evaluation and DoD Logistics Planning:

SIMLOX is used extensively to evaluate and refine logistics support solutions under US defense acquisition and sustainment frameworks:

• How well does a given spare parts assortment (drawn from OPUS10 analysis) support the fleet across a full operational scenario?
• What are the bottlenecks in the current support solution, and how do they compare across alternative support concepts?
• What maintenance personnel are required, and how should they be scheduled to handle planned maintenance cycles and demand peaks?
• How should resource availability be adjusted ahead of a major maintenance campaign, deployment, or inspection cycle?
• What is the readiness impact of reducing transport times between forward and rear echelon maintenance facilities?
• How does the support solution perform under ageing system effects, scheduled inspections, and phased component replacement programs?
   

Additional US defense-specific scenarios SIMLOX supports:

• Contested logistics: how does fleet availability degrade when the supply chain is disrupted over a defined operational period?
• Resilience testing: how does the support solution handle attrition, battle damage, or force reconstitution scenarios?
• Lateral support and cannibalization: how does authorized cannibalization or cross-leveling affect mission capable rates across dispersed operating locations?
   

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Previous versions release information

Opus Suite 2023

Opus Suite 2022

Opus Suite RDM

Opus Suite Version 2019

Opus Suite Version 2018

Opus Suite Version 2017

Opus Suite Version 2016

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