Logistics Support Analysis (LSA)
LSA blends logistics engineering, system engineering, and system design to develop the optimal support outcome. LSA applies carefully weighted data and statistics (obtained through numerous resources, studies, and analyses) in an effort to include supportability during the design process. A successful LSA will define those support requirements that are ideal for the system design.
Increase Support Efficiency
By identifying what support requirements are mutually beneficial, LSA can:
- Increase support efficiency
- Increase compatibility of system engineering to the support system
- Reduce the cost of providing support
- Provide insight into additional areas of improvement
Logistics Analysis with a Broad Scope
LSA has a broad scope that considers many aspects of maintaining equipment. There is no boilerplate method to performing LSA. The steps that are taken and what is analyzed often depends on the outcome desired. Many people in the fields of provisioning, technical writing, and cataloging perform some LSA on a regular basis without even realizing it.
Common Elements of LSA
Elements most commonly examined while performing LSA:
- Ability to Be Produced
- Mobility & Transportability
- Comparative Analysis
- Product Improvement and Technology Insertion
- Design of System
- Use of System
- Disposal of System
- Early Fielding Data
- Environmental/Safety Aspects
- Human Engineering
- FMEA/FMECA (Failure Mode and Effects Analysis/Failure Mode, Effects, and Criticality Analysis)
- Support Equipment
- Support Equipment Supply
- Information Technology Resources
- Life Cycle Cost
- Test Requirements
- LORA (Level of Repair Analysis)
- Maintenance Engineering
- Maintenance Planning
- Value Engineering
The Logistics Database
In the past, logistics support has relied on the MIL-STD-1388 format. This format populates a series of Data Element Definitions (DED), which are then interrelated by means of a complex database. The database structure uses a variety of tables for both data entry and data delivery. It also provides a means of generating custom reports that give interrelated data from a variety of tables.
This database contains:
- Information regarding the end item or system, including its operational structure (how many are operational and where located)
- FMEA/FMECA information
- Reliability Centered Maintenance (RCM) information
- General and detailed task information (including maintainability predictions and skills)
- A list of required tools for repair and servicing tasks
- Provisioning (spare parts) information
A logistics database is used to determine spare part requirements, tool requirements, personnel and skill requirements. It is also used to generate custom reports.
Logistics Management Information
Increasingly, the logistics world is moving towards Logistics support Management Information (LMI). This data is based on the methodologies contained in MIL-PRF 49506. This movement is driven by the need to make information transportable across a variety of platforms and the need to make data easier to compile and maintain. The information gathered is very similar to the information required for a MIL-STD-1388-based analysis (shown in the bulleted list above). However, data entry, structure, and reports are simpler and easier to manipulate.
ONEIL uses RELEX software to develop many of the above tasks, such as Reliability and Maintainability Predictions, FMEAs/FMECAs, and Fault Tree Analysis. The programs SLICwave and PowerLog-J are used for generating MIL-STD-1388-2B analyses.
- Information regarding the capabilities of Relex can be found at www.relexsoftware.com
- Information regarding SLICwave can be found a t www.isscorp.com
- Information regarding PowerLog-J can be found at www.logsa.army.mil/lec/powerlog/