Availability engineering in the network world is generally designed to reduce unforeseen downtime or scheduled downtime through redundancy or rapid switching systems. This area of design is subject to different disciplines with different approaches. The main difference between the network industry and production availability is that the former is more focused on reducing downtime, for which it could be considered in the world of reliability as a cost-effective and more reliable use. The most recent interest in availability contracts indicating required availability has generated interest in derivating system design and support parameters directly from an availability-based contract. However, given the necessary allocation of availability, a point-by-point allocation of operating parameters and support for meeting performance availability requirements is a type of direct construction that must be followed by sensitivity analysis and robust parameters. However, determining design parameters from an availability requirement is a stochastic problem of reverse design. Assessing an availability requirement is a challenge for manufacturers and system proponents, as it is not trivial to determine how some availability can be provided. The required availability can be defined by the system instance or by the fleet. It can be defined by different time slots or in different geographic fields. However, availability optimization approaches offer solutions only at selected times (not at any time) and use the average time to failure (or fixed-rate need) and the average time to repair deterministic values as part of convex optimization. Design parameters generally include reliability, system reliability. Reliability will be the result of system production, where maintenance comes from operational logistics, maintenance logistics, inventory management, prognostic health management (PHM) and systems supply chain design logistics.  The general application of this system design philosophy is based on results-based contracts.
Availability is the main factor in operational efficiency as well as system performance. Availability-based contracts are not as complicated as performance-based contracts, as the debate about metrics and requirements is less opaque to customers and designers. The minimum required availability of complex systems is a key factor in many distributed and repairable systems, such as the ATM network or airliners. Design for Availability is the process of designing a system that aims at the availability of the system as an essential part of the target specification. This project is generally used for availability-based contracts. Availability design means that the design process begins with certain space requirements settings and assigns them to the range of design parameters. However, the conventional experience and error of the parameters, followed by the sensitivity analysis, may end up at the same range of design results. In availability contracts, the supplier is paid for a guaranteed level of power and performance and system capacity, for example.
B a tariff based on availability for electric power.  The supplier often has to ensure the availability and availability of the system at a lower cost by taking into account logistics in the design. The contractor will also have more control over the logistics and supply chain of the system. The most important point in the use of availability rather than performance is that the combination of another part of a platform or system from its subsets is feasible and easy, unlike obscure performance criteria in performance-based logistics.