Availability Optimization of a Multi-State Industrial System with the Markov Chain Approach

The choice of suppliers is one of the important issues in the design of industrial systems, which must be done with due regard to cost, reliability, repairability and delivery time of parts supplied and their effect on the total cost of the manufacturing system.Provide a template for selecting suppliers of a multi-state industrial system, taking into account the cost, reliability, and repairability of the system.

A nonlinear integer programming model has been developed using Markov's network results and solved for a case study in two different ways and the results have been compared: (1) accurate resolution, using GAMS software, and (2) complete counting.

By solving this model, the order of parts of the system is selected so that the total cost of construction and operation of the system; including the cost of purchasing the components as well as the cost of reducing the capacity and the complete system shutdown during operation be minimized. The results show that taking into account the effect of components similarity on the purchase price, the delivery time and the speed of repair of components can be effective in choosing the supplier.

In conclusion, the effect of choosing the same components is emphasized when assessing the availability and cost of the entire system