Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise

The study of the operation of quarry vehicles made it possible to form the target function of the study, taking into account the criterion of the efficiency of all processes of the system, which provides for the reduction of costs for the operation of the transport and production system of the quarr...

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Main Authors: Borys Sereda, Darya Mykovska
Format: Article
Language:English
Published: Lviv Polytechnic National University 2023-06-01
Series:Transport Technologies
Subjects:
Online Access:https://science.lpnu.ua/tt/all-volumes-and-issues/volume-4-number-1-2023/mathematical-modeling-efficiency-indicator
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author Borys Sereda
Darya Mykovska
author_facet Borys Sereda
Darya Mykovska
author_sort Borys Sereda
collection DOAJ
description The study of the operation of quarry vehicles made it possible to form the target function of the study, taking into account the criterion of the efficiency of all processes of the system, which provides for the reduction of costs for the operation of the transport and production system of the quarry of a metallurgical enterprise, namely, the subsystems: “Incoming raw materials”, “Processing of raw materials”, “Sales of raw materials”. Factors influencing the cost indicator are highlighted. These factors include the production downtime of motor vehicles, the speed of motor vehicles with cargo, and the speed of motor vehicles without cargo. The values of these factors were obtained in result of timing the operation of motor vehicles on technological routes for four days. The levels of variation intervals and the nature of their changes for the three regimes were calculated for each of the subsystems. A regression analysis of the investigated factors was carried out to model the costs. The response surfaces of the obtained mathematical models are constructed, namely: the influence of the production downtime of motor vehicles and the speed of movement without cargo on the costs of functioning of subsystems, the influence of production downtime of motor vehicles and the speed of movement with cargo on the costs of the functioning of subsystems, the influence of the speed of movement with cargo and speed of movement without cargo for the costs of functioning of subsystems. The optimal values for reducing the cost of functioning of the “Processing of raw materials” subsystem are the value of production downtime – 4-5 min., the speed of motor vehicles without cargo – 9 min., and the speed of motor vehicles with cargo – 9 km/h. The optimal values for reducing the cost of functioning of the “Sales of raw materials” subsystem are the value of production downtime – 4-6 min., the speed of motor vehicles without cargo – 14-16 min., and the speed of motor vehicles with cargo – 13-15 km/h. The optimal values for reducing the cost of functioning of the subsystem “Incoming raw materials” are: the value of production downtime is 4-5 minutes, the speed of motor vehicles without cargo is 7-8 km/h, the speed of motor vehicles with cargo is 10 km/h.
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spelling doaj.art-0e32b70d8f9547e9bba62e3d8f5f865c2023-07-04T08:36:58ZengLviv Polytechnic National UniversityTransport Technologies2708-21992709-52232023-06-0141486110.23939/tt2023.01.048Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterpriseBorys Sereda0https://orcid.org/0000-0002-9518-381XDarya Mykovska1https://orcid.org/0000-0002-4184-0861Dniprovsky State Technical UniversityPJSC ZaporozhstalThe study of the operation of quarry vehicles made it possible to form the target function of the study, taking into account the criterion of the efficiency of all processes of the system, which provides for the reduction of costs for the operation of the transport and production system of the quarry of a metallurgical enterprise, namely, the subsystems: “Incoming raw materials”, “Processing of raw materials”, “Sales of raw materials”. Factors influencing the cost indicator are highlighted. These factors include the production downtime of motor vehicles, the speed of motor vehicles with cargo, and the speed of motor vehicles without cargo. The values of these factors were obtained in result of timing the operation of motor vehicles on technological routes for four days. The levels of variation intervals and the nature of their changes for the three regimes were calculated for each of the subsystems. A regression analysis of the investigated factors was carried out to model the costs. The response surfaces of the obtained mathematical models are constructed, namely: the influence of the production downtime of motor vehicles and the speed of movement without cargo on the costs of functioning of subsystems, the influence of production downtime of motor vehicles and the speed of movement with cargo on the costs of the functioning of subsystems, the influence of the speed of movement with cargo and speed of movement without cargo for the costs of functioning of subsystems. The optimal values for reducing the cost of functioning of the “Processing of raw materials” subsystem are the value of production downtime – 4-5 min., the speed of motor vehicles without cargo – 9 min., and the speed of motor vehicles with cargo – 9 km/h. The optimal values for reducing the cost of functioning of the “Sales of raw materials” subsystem are the value of production downtime – 4-6 min., the speed of motor vehicles without cargo – 14-16 min., and the speed of motor vehicles with cargo – 13-15 km/h. The optimal values for reducing the cost of functioning of the subsystem “Incoming raw materials” are: the value of production downtime is 4-5 minutes, the speed of motor vehicles without cargo is 7-8 km/h, the speed of motor vehicles with cargo is 10 km/h.https://science.lpnu.ua/tt/all-volumes-and-issues/volume-4-number-1-2023/mathematical-modeling-efficiency-indicatormathematical modelresponse functionresponse surfacesspeed of movementdowntime motor vehicleregression coefficientstransport and production systemvariation intervals
spellingShingle Borys Sereda
Darya Mykovska
Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
Transport Technologies
mathematical model
response function
response surfaces
speed of movement
downtime motor vehicle
regression coefficients
transport and production system
variation intervals
title Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
title_full Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
title_fullStr Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
title_full_unstemmed Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
title_short Mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
title_sort mathematical modeling of the efficiency indicator of the functioning of the transport and production system in the conditions of the quarry of a metallurgical enterprise
topic mathematical model
response function
response surfaces
speed of movement
downtime motor vehicle
regression coefficients
transport and production system
variation intervals
url https://science.lpnu.ua/tt/all-volumes-and-issues/volume-4-number-1-2023/mathematical-modeling-efficiency-indicator
work_keys_str_mv AT boryssereda mathematicalmodelingoftheefficiencyindicatorofthefunctioningofthetransportandproductionsystemintheconditionsofthequarryofametallurgicalenterprise
AT daryamykovska mathematicalmodelingoftheefficiencyindicatorofthefunctioningofthetransportandproductionsystemintheconditionsofthequarryofametallurgicalenterprise