Modeling Productivity Reduction and Fuel Consumption in Open-Pit Mining Trucks by Considering the Temporary Deterioration of Mining Roads through Discrete-Event Simulation
نویسندگان
چکیده
Open pit mining is based on dynamic operations within the open pit, with haulage operation being most decisive in terms of cost and overall productivity operation. A vital aspect for success are conditions roads, which change over time due to wear tear. The present work aims model evaluate effect temporal deterioration affecting roads an through rolling resistance, using discrete event simulation (SED) tool two key aspects operation: fuel consumption. Additionally, reverse road deterioration, assignment a grader variable frequency use will be modeled parallel model. case study 5 km slope 9.5%, fleet 10 trucks, their capacities 300 tons, loaded 24 h results show that not considering can mean overestimation up 600 Ton/hr, overconsumption 78%. application motor could decrease negative effects depends its assignment. rate consumption every hour does do maintenance, production loss increases by approximately 1800 L day.
منابع مشابه
the clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
data mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولData mining with cellular discrete event modeling and simulation
Data mining is the process of extracting patterns from data. A main step in this process is referred to as data classification. In this work, we investigate the use of the Cell-DEVS formalism for classifying data. The cells in a Cell-DEVS based grid are individually very simple but together they can represent complex behavior and are capable of self-organization. Three classifier models are imp...
متن کاملAn Uncertainty-based Transition from Open Pit to Underground Mining
There are some large scale orebodies that extend from surface to the extreme depths of the ground. Such orebodies should be extracted by a combination of surface and underground mining methods. Economically, it is highly important to know the limit of upper and lower mining activities. This concern leads the mine designers to the transition problem, which is one of the most complicated problems...
متن کاملReduction of production disturbances of a shoemaking industry through a discrete event simulation approach
This study presents a reduction of production disturbances of a shoemaking industry through discrete event simulation approach. The study is conducted at Peacock Shoe factory found in Addis Ababa, Ethiopia. This factory faces line balancing problem that becomes production disturbance for its assembly lines. Detail time study is carried out for the selected shoe model using stopwatch. Assembly ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mining
سال: 2023
ISSN: ['2673-6489']
DOI: https://doi.org/10.3390/mining3010006