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SIMLOX

Introduction

Systecon proudly announces the release of SIMLOX - (SIMulating LOgistiX)

SIMLOX is a discrete event simulation model developed mainly as an extension to OPUS10.

In many situations it is not accurate enough to measure only mean values. The dynamic behaviour as well as the overall variance of the effectiveness might be more interesting. SIMLOX has been developed to give those answers.

Although SIMLOX is a separate product it is recommended as a complement to OPUS10. It is fully compatible with OPUS10 version 5 and is using the same basic data structure.

Through event based Monte-Carlo technique SIMLOX simulates the operation and maintenance logistics, and their interactions, for any technical system enabling a total capability assessment of that system.

SIMLOX supplements the OPUS10 model and uses the same data and definitions with a simple and easy to use data import utility. SIMLOX analyses the OPUS10 scenario with major extension to cover:

Variable system utilization over time through explicitly given mission profiles

Maintenance resources and constraints  

Damages

Cannibalization/robbing

Non critical and critical failures

Deferred maintenance and repair

System variants

Batched transport

Transfer of systems, items and resources

Mission prioritization

Use of SIMLOX and OPUS10

It is normal to use OPUS10 first to:

1.      Compare different alternatives

2.      Generate optimum spares allocations/assortments

3.      Generate optimal repair location

4.      Select cost-effective solution

Then use SIMLOX to:

a)      Apply detailed mission data and study the impact of a dynamic mission profile

b)      Apply data for the model extensions such as robbing and study the effects on system availability

c)      Run selected stock allocation point

d)      Analyze the impact of the time dimension

e)      Compare system Measure of Effectiveness (MoE) with requirements

This approach enables the advantages of both models to be felt.

The OPUS10 advantages are:

à        OPUS10 optimizes, SIMLOX analyses

à        A complete C/E curve

à        Life support cost (LSC) calculations

à        Can compare different strategies in a simple cost-effective way

à        Very fast

The SIMLOX advantages are:

à        SIMLOX is time dynamic. OPUS10 is steady state

à        More detailed system MoE including percentiles

à        Detailed mission profiles

à        Cancel missions if minimum assets not available

à        State dependent activities

à        Many mission types

à        Ability to track resources and spares through the simulation


 Figure 1: The SIMLOX user interface has many similarities with the powerful OPUS10 interface.

The SIMLOX results are similar to OPUS10 but there are a number of differences:

Lower efficiency due to aspects such as maintenance resource availability, batched transports, damages and utilization varying over time

Higher efficiency due to aspects such as cannibalization, robbing, loans between bases and repair prioritization

SIMLOX is thus a tool that can enable capability assessment and to analyze if requirements cam be met or to formalize those requirements. 

Examples of typical requirements that can be considered are:

1.      The total mission time should exceed X number of hours

2.      The number of aircraft on ground should not exceed Y in any 24 hour period with a confidence of 90%

Technical information 

à       Commercially available off the shelf

à       Microsoft Windows compatibility

à       Developed in C++ 

à       ODBC interfaces

à       Graphical results capability

à       Commonality of form based data input with OPUS10

à       Extensive data checking

 à       Reuse of OPUS10 data

à       Use of OPUS10 results – stock allocation table

 à       Comprehensive help facility

à       Comprehensive documentation

à       Fully supported

 à       Long term development program in consultation with our customers

The flow of data and results through the models can be summarized as:

à        OPUS10 input and output data are imported into the SIMLOX input database

à        SIMLOX unique data such as mission related information is added either via the editor or imported from an external database

à        Data is then checked for validity and consistency

à        Simulation runs

à        Output to a results database for viewing via the editor or graphics utility