Integrated Logistics Support. What is Integrated Logistics Support?
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1 Integrated Logistics Support What is Integrated Logistics Support? Integrated Logistics Support is the integration into the design phase of the system, of its supportability and logistic support considerations. The cost of the system is evaluated throughout its life-cycle, taking into account its development, acquisition, operating, maintenance as well as end-of-life costs. Logistics support has many components, including spares, storage sites, personnel and training for example. Why perform Integrated Logistics Support analysis? Large-scale project management needs to take into account Operational Availability requirements and overall Life Cycle Cost constraints expected by customers. ILS analysis are usually performed during the design phase of a system, in order to ensure sufficient availability while keeping reasonable costs. They are often used to compare different alternatives and choose the optimal one, depending on your criteria. ILS analysis can also be performed on an already existing system, in order to determine its characteristics and help plan potential modifications or obsolescence.
2 Availability and spares optimization In SimlogWeb, you can model both your operational system and its support organization. Operational system Your operational systems will be represented by reliability diagrams, corresponding to the breakdown of the systems, from a top-level view down to Line Replaceable Units (LRUs) and Shop Replaceable Units (SRUs). Each article can have different failure rates, times to exchange, times to repair, scrap rates, costs of acquisition, Support system In parallel, your support organization is represented with a sites tree of your operational and support sites. For each article, you can define where it will be stored, repaired or resupplied, enabling precise descriptions of your logistics delays and possible common stocks.
3 Moreover, you can input maintenance tasks data, both corrective tasks with their needed equipment and staff, and preventive tasks with their periodicity, duration, impact on availability and needed equipment and staff. ILS indicators Based on these data, you can compute different indicators on your operational systems, like availability, mean up time (MUT), mean down time (MDT), mean logistics delays (MLDT), probability of not running out of stock (PNRS), These indicators can be detailed by operating site, by subsystems, by articles, or on a combination of operational systems. Initial spares optimization Going a step further, you can ask SimlogWeb to compute a list of needed initial spares, in order to fulfill targets of availability, mean up time, mean down time and/or probability of not running out of stock. As for the ILS indicators, you can input these targets on operating sites, subsystems or on a combination of operational sites. This computation also takes into account the stock constraints given in the model, like the minimum and maximum possible stock of each article on each site.
4 Life Cycle Cost Building on the existing reliability and maintenance data, you can define your own Costs Breakdown. Each individual cost can be defined as a formula depending on already existing data (like failure rates of the articles, or time to travel between the sites), or on supplementary data that you can freely define. This way, you can detail your different costs depending on items or sites for example, enabling determining your cost-driving elements.
5 SimlogWeb perks With SimlogWeb, you can compute your availability indicators, optimize your initial spare parts and compute your Life-Cycle Cost with a single model. SimlogWeb is a web application so it can be deployed on a unique server and accessed by several users simultaneously. Its graphical interface has been designed with trending web technologies, providing user-friendly features to build your models and launch your computations. SimlogWeb can also export and import all its data through Microsoft Excel, easing sensitivity analysis, enabling fast comparisons and supporting trade-off analysis.
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