چكيده به لاتين
Customer response, as one of the most important competitive advantages in many companies, not only considers cost restrictions for producers but also cause to optimal available inventory to maximize customer satisfaction.
In industries like oil and gas as components are expensive, companies instead of throwing parts away rather to manage the inventory of consumable indentures which can then lead to organizational costs optimization.
In this regard, due to the limited number of operators, there is a queue that affects customers' expectations and, in the absence of proper management, causes customer dissatisfaction.
The main objective of this research is to provide a single-echelon, multi-item system for repairable spare parts, and due to the variety of components used in the oil and gas industry and their different level of importance, priorities vary. Also, in order to minimize customer waiting time in the case of inventory deficit, the lateral transshipment between bases warehouse has been used. Using queuing theory, we now calculate the average waiting time for repair parts and by this calculation the optimum inventory level of bases is obtained from an inventory model. This model aims at reducing the cost of system inventory which will also give the waiting time for the inventory deficit. Subsequently, in order to reduce the level of inventory of the bases, the costs of sending and in line with it the overall cost of the system, repair shops must be relocated. The results will explicitly state the validity of the models.
To solve the inventory function, due to the complexity of its mathematical model and the inefficiency of precise methods, we used a genetic algorithm that ultimately codifies the model presented in Matlab software. Gams software is also used to solve the exact location model. Finally, these models are described in implementation of the case study (South Pars Oil and Gas Company).
