Evaluation of the efficiency of process control for the repair of pumping and compressor pipes in the Matlab/Simulink package

UDK: УДК 622.276.53:681.518
DOI: 10.24887/0028-2448-2023-11-123-127
Key words: robotization, simulation modeling, queuing system, production process, repair of pumping and compressor pipes
Authors: V.V. Semenov (RN-BashNIPIneft LLC, RF, Ufa), I.S. Kopeikin (RN-BashNIPIneft LLC, RF, Ufa; Ufa State Petroleum Technological University, RF, Ufa), K.A. Boyko (RN-BashNIPIneft LLC, RF, Ufa; Ufa State Petroleum Technological University, RF, Ufa), M.S. Antonov (RN-BashNIPIneft LLC, RF, Ufa; Ufa State Petroleum Technological University, RF, Ufa), N.N. Kraevsky (RN-BashNIPIneft LLC, RF, Ufa)

E-mail: KA_Boyko@bnipi.rosneft.ru

Keywords: robotization, simulation modeling, queuing system, production process, repair of pumping and compressor pipes

 The article presents a general approach to simulation modeling of a robotic workshop engaged in the repair and restoration of pumping and compressor pipes. The main purpose of the simulation is to evaluate the effectiveness of repair work management using modern high-performance equipment. To achieve this goal, a review of various simulation languages and tools was carried out. A modeling algorithm based on queuing systems was selected and applied, allowing taking into account the features of the production process and effectively simulating the management of repair work. The algorithm is based on the idea of serving customers in a queue, where each customer represents a repair request. The queuing system takes into account the processing time of the application, the waiting time in the queue and the service time for each client. To carry out simulation modeling of the production process, the SimEvents environment, which is part of the Matlab/Simulink package, was selected. This environment provides ample opportunities for creating and analyzing computer models, and also allows you to organize a dynamic information database and visualize modeling results. Based on the results of simulation modeling, an assessment was made of the effectiveness of managing repair work in a robotic workshop, on the basis of which a proposal was made to optimize the production process. This proposal includes optimal resource allocation, improved work planning, optimization of robotic systems and other measures aimed at increasing the efficiency of the workshop and reducing the time it takes to complete repair work. Thus, the use of simulation modeling in this study allows us to evaluate the effectiveness of managing repair work in a robotic workshop and propose measures to optimize the production process. This is an important step in the development of modern methods of management and planning of production processes in the field of repair and restoration of tubing.

 

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