OPUS Suite Training Courses

The OPUS10 Basic Course is an introduction to system and supply chain logistics performance metrics, spare parts management criteria for different problem types. It teaches basic skills in using OPUS10 for spare parts optimization and resources dimensioning.

The objective of the OPUS10 Basic Course is to enable participants to understand basic product and logistics modeling in compliance with the S3000L and GEIA-STD-0007C view and to familiarize modeling  by using the OPUS10 functionality. By the end of the course participants will be able to:

• understand how to model the Maintenance view of a Product and Variants defined through Breakdown Structures and multi-echelon Logistics Support Organizations (LSO);
• Model Stock, Repair, Preventive Maintenance, Provisoning policies within the LSOs and conditioning parameters;
• understand the role of OPUS10 in Life Cycle Cost analyses, cost atoms and cost parameters which are produced in the result sets;
• understand how to handle items conditioning data and how to handle uncertainty in input data, for example prices, failure rates, task times, transports;
• understand the Measures of Effectiveness that OPUS10 can calculate (availability, risk of shortage, backorders, waiting time, etc.);
• run OPUS10 and select results for creating customized reports;
• understand when to use OPUS10, the scenarios and the problem types;
• understand how to model systems deployment and utilization on ground bases, naval units, and subjected to different events counters (operating hours, calendar hours, missions, km, landings, fire-rounds, etc.).

The course may also provide the scope of topics which are part of the advanced course:

• Level/Location of Repair Analysis, Extended (LORA_XT);
• Phased evolution modelling to afford “Phase-in” and “Phase-out” scenarios;
• System multi-MoEs and systems with multi MoE values cases;
• Import/Export data between OPUS10 and different types of databases;
• The mathematical theory behind OPUS10.

The OPUS10 Extended Course extends system and supply chain modeling knowledge provided through the basic course to afford different problems with more detailed conditioning cases.

The objective of the OPUS10 Extended Course is to enable participants to understand all the modeling features of OPUS10 and familiarize with combined and complex problems and scenario types. By the end of the course participants will be able to:

• understand how to analyse actual system and support effectiveness status on the base of the spares and resources available, how to replenish or reallocate spares and resources to achieve required system/support metrics;
• understand how to model Endurance scenario in case of system support organization cut-out periods, measure of effectiveness, spares and resources requirements;
• understand how to evaluate and compare different maintenance policies vs cost/effective objectives;
• understand how to model scenarios with different phases and evaluate the related results;
• understand how to model detailed requirements concerning systems, items, resources, consumables, how to afford obsolescence and other advanced topics (i.e.: batch repairs, POOL organization, diagnostic ambiguities, etc.).

This course enables you to understand basic logistics modeling and how it fits within the Monte Carlo simulation framework used by SIMLOX.
The course covers the following topics:

• understanding the concept of simulation;
• understand when an OPUS calculation should be complemented with a SIMLOX simulation;
• import of data to SIMLOX from OPUS10 and simulated evaluation of system MTBF, supply chain sites performances, spare parts solution effectiveness evaluation and identification of the weak elements;
• understand the different types of Measures of Effectiveness (MoE) used by SIMLOX, for example: mission completion rate, risk of shortage (with time tolerance), resource waiting, backorders, etc.;
• analyze simulation results based upon statistical measures (percentile values of risk);
• run SIMLOX and select results for customized reports;
• build advanced time dependent Operational Profiles;
• systems and Items transfer into the scenario, inside the scenario, exit the scenario;
• using time distributions functions creation to model time-dependent characteristics;
• modeling time limited access to maintenance resources;
• using the Game Mode when verifying or demonstrating SIMLOX model;
• deployed operations: fixed, scheduled, continuous;
• random missions: random mission number, mission random start time, mission random duration;
• mission accomplishment through formation of different systems.

This course enables you to implement complex operative and maintenance scenarios modeled on top of the basic scenarios created for the basic course exercises and to be run through Monte Carlo pseudo-random simulation framework of SIMLOX.

The course covers the following topics:

• replication results setting and consultation;
• missions related tasks modeling: system preparation and system turnaround;
• strategic mission accomplished through dependence of tactical missions;
• task breakdown and resources detailed modeling;
• lateral support;
• FBD complex modelling: serial, asymmetric parallel, bridge, tree configurations;
• simulation results reporting;
• time dependent PM profiles;
• damage impact modelling and predictions of results;
• systems and items age modeling.

Introduction to LCC modeling and the use of our CATLOC tool for building and analyzing flexible cost models.

The objective of the CATLOC course is to introduce the concept of LCC (Life Cycle Cost) modeling and the use of CATLOC to build and maintain flexible LCC models. CATLOC makes it possible to analyze all costs freely in a number of dimensions and domains. Common dimensions of interest include:

• materials (with domains: systems, equipment, items, spare parts…);
• stations (with domains: stores, workshops, sites of operations…);
• tasks (with domains: maintenance tasks for CM an PM…);
• resources (with domains: operative personnel, maintenance equipment…);
• time (with domains: years, months, phases…).

Any combination of cost dimensions can easily be studied and analyzed in CATLOC.
CATLOC can also be used for modeling revenues, which enables cost/profit analyses.
Course participants will learn to analyze CATLOC results to tackle a number of common situations, for example:

• evaluate tenders;
• identify cost drivers (KPI);
• manage data uncertainty through sensitivity analysis.

Participants will also learn:

• how to perform sensitivity analysis in CATLOC for efficient identification of parameters that have a large impact on costs;
• how to select and achieve KPI cost parameter (i.e:. cost per flight hour, cost per km run, cost per hour/day of sailing, etc.);
• how CATLOC can be used with external database information;
• how data can be imported to CATLOC from OPUS10/SIMLOX and how to achieve the OPUS_Suite cost breakdown structure;
• how to implement personal LCC breakdown or how to implement the most common cost models: IEC-60300-3-3, TR-SAS-054, UNILIFE, US OSD Cape O&S Cost Estimating;
• after each complete CATLOC analysis participants learn how to design customized reports with results displayed in custom graphs / tables and LCC trees.

The course also covers typical / advanced modeling features in CATLOC such as:

• building LCC trees;
• defining cost functions;
• efficient data assignment using default rules;
• handling of costs related to structure of dimensions (materials, station, etc.).

The objective of the CATLOC integration course is dedicated to participants that have already attended the CATLOC Basic training to deliver the following topics suited in a complex environment that afford RAM-C modeling approach:

• understand the scope and the main issues of OPUS10 and SIMLOX to interface the relevant specialists;
• understand how to import OPUS10 model and solution results into CATLOC and populate the Opus_Suite Cost Breakdown Structure;
• understand how to import SIMLOX scenario simulation results into CATLOC overlapped to OPUS10 results and read time-dependent cost results;
• understand how to create an a link between an OPUS10 model and a CATLOC model to achieve an automatic updating of the CATLOC model when OPUS10 model changes are made;
• understand how to use cost category functions for particular results presentation;
• understand how to use all the functionality of the Mathematical Editor Function.