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Book Optimization Modeling and Analysis of Truck Allocation System in Surface Mining Operations

Download or read book Optimization Modeling and Analysis of Truck Allocation System in Surface Mining Operations written by Hao Wen and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the surface mining industry, trucks and shovels are the essential components in the whole operation system. Optimal allocation of trucks/shovels resources is critically necessary in the surface mining operations not only for satisfying the mining production profit goal, but also for minimizing the mining operation cost. Also, many factors in the operation process make the truck allocation decision making plagued with uncertainties, vagueness and complication. In the past, Interval-parameter Linear Programming (ILP) has been widely used to deal with uncertainties and to assist optimal decision making in a variety of system planning and management problems. However, the existing ILP solution algorithms, i.e., best-worst case algorithm and 2-step algorithm, are found to be ineffective through a validity checking process. Moreover, the results from ILP cannot reflect the linkage between decision risks and the system return. In this study, a Risk Explicit Interval-Parameter Linear Programming (REILP) model and a fuzzy-REILP model are developed to generate the least cost strategies while minimizing the decision risks. The developed methods are then applied to the optimal planning of the truck allocation system in an open-pit mine case, and this is the first attempt of using ILP-based optimization techniques to the surface mining industry. This method is specifically designed to deal with extensive uncertainties existed in the truck allocation system and to provide decision supports to the surface mining operators and planners. In the developed methods, the ILP is used to reflect uncertainties existed in both objective function and constraints. Based on the basic ILP, a risk function is defined to assist in finding solutions with minimum system cost while minimizing the decision risk, under certain aspiration levels. The aspiration level could be conservative, medium or aggressive, and can thus be presented as a fuzzy set to reflect the preference of decision makers. Three sets of solutions are obtained accordingly. Besides, the model was also solved under the aspiration level from 0 to 1, with a step of 0.1, for providing a comprehensive decision support. This approach can effectively reflect dynamic, interactive, uncertain characteristics, as well as the interactions between overall cost and risk level of the mining truck allocation system. The results can effectively reflect the tradeoff between decision risks and the system return, and thus provide valuable information to support the decision-making process related to the planning of the truck allocation, and timing and routing of the mine-hauling activities.

Book Improving Efficiency of Truck shovel Materials Handling Systems in Surface Mining Through Simulation and Optimization Tools

Download or read book Improving Efficiency of Truck shovel Materials Handling Systems in Surface Mining Through Simulation and Optimization Tools written by Burak Ozdemir and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The mining industry is characterized by high technical and financial risks. First of all, ore quantity within a deposit cannot be, at least in the feasibility stage, fully calculated due to sparse data and ore grade heterogeneity. In the standard approach, all decisions regarding a mining operation are made using estimations or simulations, which add risk to an operation. Furthermore, commodity prices fluctuate widely in the market. As witnessed recently, serious price slumps can be experienced and force the mining companies to operate at a loss or narrow profit margin. As a result, a mining company produces a material, which is not delineated accurately and whose sale price is not known. Therefore, mining companies put a specific emphasis on the best practices such that the effect of uncertainties is minimized. One way to manage this is to maximize the utilization of mining trucks and shovels under uncertainty as the operating and opportunity cost of mining equipment is very high.In this context, this research developed new modelling, simulation and optimization approaches to improve the performance of truck-shovel systems. First, the compliance between truck and shovel fleet was measured by integrating reliability theory and the match factor equation. In doing so, the opportunity cost of mining equipment was reduced by decreasing the waiting time of the trucks and the idle time of the shovels. Also, the research provides reliability analysis for mining equipment and the operators' effect on the reliability change. Moreover, a Petri net simulation model of the materials handling system is created by assessing randomness associated with data variations, ambiguity, and vagueness. The uncertain parameters (such as the cycle time of the trucks, the loading time, ore grade, payload, fillfactor, operators' effect) were included in the simulation model. This model was used to compare the dispatching and the short-term mine planning objectives such as blending in the case of multiple waste dumps and processors. The simulation model also tracked the fuel consumption of the haul trucks. Furthermore, the relationship among the interrelated mining activities (drilling, blasting, loading, hauling and crushing) was investigated. The fragmentation size is the factor which affects the costs and performances of all activities. Hence, it was optimized through a system-wide optimization approach to minimize the total bench production cost in surface mining operations.In conclusion, a novel two-stages real-time optimization framework was proposed using knowledge from the aforementioned aspects. In the first stage, a Petri net simulation model is used to decide the production targets and divide the trucks into sub-fleets for each working zone. The working zones may include more than one shovel. In the second stage, the trucks are simultaneously dispatched to the shovels by linear programming. Also, the conformity of the sub-fleets is dynamically tracked by the match factor value to minimize the shovel idle times and truck queues. If required, the trucks are moved among the sub-fleets. The case studies proved that the proposed approaches reduced actual operating and opportunity costs in mining operations. Thus, utility obtained from truck and shovel systems were increased"--

Book Proceedings of the 12th International Symposium Continuous Surface Mining   Aachen 2014

Download or read book Proceedings of the 12th International Symposium Continuous Surface Mining Aachen 2014 written by Christian Niemann-Delius and published by Springer. This book was released on 2014-09-20 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains research results presented at the 12th International Symposium Continuous Surface Mining, ISCSM Aachen 2014. The target audience primarily comprises researchers in the lignite mining industry and practitioners in this field but the book may also be beneficial for graduate students.

Book Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection   MPES 2018

Download or read book Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection MPES 2018 written by Eleonora Widzyk-Capehart and published by Springer. This book was released on 2019-02-21 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents research papers discussing the latest developments and findings in the fields of mining, machinery, automation and environmental protection. It includes contributions from authors from over 20 countries, with backgrounds in computer science, mining engineering, technology and management, and hailing from the government, industry and academia. It is of interest to scientists, engineers, consultants and government staff who are responsible for the development and implementation of innovative approaches, techniques and technologies in the mineral industries. Covering the latest advances in fundamental research, it also appeals to academic researchers.

Book Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection   MPES 2019

Download or read book Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection MPES 2019 written by Erkan Topal and published by Springer Nature. This book was released on 2019-11-29 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceedings presents the research papers in the field of mine planning and mining equipment including themes such as mine automation, rock mechanics, drilling, blasting, tunnelling and excavation engineering. The papers presents the recent advancement and the application of a range of technologies in the field of mining industry. It is of interest to the professionals who practice in mineral industry including but not limited to engineers, consultants, managers, academics, scientist, and government staff.

Book Optimization Techniques and their Applications to Mine Systems

Download or read book Optimization Techniques and their Applications to Mine Systems written by Amit Kumar Gorai and published by CRC Press. This book was released on 2022-09-30 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the fundamental and theoretical concepts of optimization algorithms in a systematic manner, along with their potential applications and implementation strategies in mining engineering. It explains basics of systems engineering, linear programming, and integer linear programming, transportation and assignment algorithms, network analysis, dynamic programming, queuing theory and their applications to mine systems. Reliability analysis of mine systems, inventory management in mines, and applications of non-linear optimization in mines are discussed as well. All the optimization algorithms are explained with suitable examples and numerical problems in each of the chapters. Features include: • Integrates operations research, reliability, and novel computerized technologies in single volume, with a modern vision of continuous improvement of mining systems. • Systematically reviews optimization methods and algorithms applied to mining systems including reliability analysis. • Gives out software-based solutions such as MATLAB®, AMPL, LINDO for the optimization problems. • All discussed algorithms are supported by examples in each chapter. • Includes case studies for performance improvement of the mine systems. This book is aimed primarily at professionals, graduate students, and researchers in mining engineering.

Book Computational Intelligent Impact Force Modeling and Monitoring in HISLO Conditions for Maximizing Surface Mining Efficiency  Safety  and Health

Download or read book Computational Intelligent Impact Force Modeling and Monitoring in HISLO Conditions for Maximizing Surface Mining Efficiency Safety and Health written by Danish Ali and published by . This book was released on 2021 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Shovel-truck systems are the most widely employed excavation and material handling systems for surface mining operations. During this process, a high-impact shovel loading operation (HISLO) produces large forces that cause extreme whole body vibrations (WBV) that can severely affect the safety and health of haul truck operators. Previously developed solutions have failed to produce satisfactory results as the vibrations at the truck operator seat still exceed the 'Extremely Uncomfortable Limits.' This study was a novel effort in developing deep learning-based solution to the HISLO problem. This research study developed a rigorous mathematical model and a 3D virtual simulation model to capture the dynamic impact force for a multi-pass shovel loading operation. The research further involved the application of artificial intelligence and machine learning for implementing the impact force detection in real time. Experimental results showed the impact force magnitudes of 571 kN and 422 kN, for the first and second shovel pass, respectively, through an accurate representation of HISLO with continuous flow modelling using FEA-DEM coupled methodology. The novel 'DeepImpact' model, showed an exceptional performance, giving an R2, RMSE, and MAE values of 0.9948, 10.750, and 6.33, respectively, during the model validation. This research was a pioneering effort for advancing knowledge and frontiers in addressing the WBV challenges in deploying heavy mining machinery in safe and healthy large surface mining environments. The smart and intelligent real-time monitoring system from this study, along with process optimization, minimizes the impact force on truck surface, which in turn reduces the level of vibration on the operator, thus leading to a safer and healthier working mining environments"--Abstract, page iii.

Book Equipment Selection for Mining  With Case Studies

Download or read book Equipment Selection for Mining With Case Studies written by Christina N. Burt and published by Springer. This book was released on 2018-03-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book presents innovative and state-of-the-art computational models for determining the optimal truck–loader selection and allocation strategy for use in large and complex mining operations. The authors provide comprehensive information on the methodology that has been developed over the past 50 years, from the early ad hoc spreadsheet approaches to today’s highly sophisticated and accurate mathematical-based computational models. The authors’ approach is motivated and illustrated by real case studies provided by our industry collaborators. The book is intended for a broad audience, ranging from mathematicians with an interest in industrial applications to mining engineers who wish to utilize the most accurate, efficient, versatile and robust computational models in order to refine their equipment selection and allocation strategy. As materials handling costs represent a significant component of total costs for mining operations, applying the optimization methodology developed here can substantially improve their competitiveness

Book Engineering Queues in Construction and Mining

Download or read book Engineering Queues in Construction and Mining written by D. G. Carmichael and published by . This book was released on 1987 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Shovel Truck Systems

Download or read book Shovel Truck Systems written by Jacek M. Czaplicki and published by CRC Press. This book was released on 2008-11-17 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive analysis of the exploitation process of shovel-truck systems using modelling, analysis and calculations following specific procedures:- analyzing the reliability and accessibility of shovels- discussing the functioning of a truck-repair shop system- reliability of trucks- existence of haulers reserve- repair shop

Book Energy Efficiency Improvement in Surface Mining

Download or read book Energy Efficiency Improvement in Surface Mining written by Dr Ali Soofastaei and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter aims to provide an overview of energy efficiency in the mining industry with a particular focus on the role of fuel consumption in hauling operations in mining. Moreover, as the most costly aspect of surface mining with a significant environmental impact, diesel consumption will be investigated in this chapter. This research seeks to develop an advanced data analytics model to estimate the energy efficiency of haul trucks used in surface mines, with the ultimate goal of lowering operating costs. Predicting truck fuel consumption can be accomplished by first identifying the significant factors affecting fuel consumption: total resistance, truck payload, and truck speed. Second, developing a comprehensive analysis framework. This framework involves generating a fitness function from a model of the relationship between fuel consumption and its affecting factors. Third, the model is trained and tested using actual data from large surface mines in Australia, obtained through field research. Finally, an artificial neural network is selected to predict haul truck fuel consumption. The visualized results also clarify the general minimum areas in the plotted fuel consumption graphs. These areas potentially open a new window for researchers to develop optimization models to minimize haul truck fuel consumption in surface mines.

Book Optimization of the Design of Open Pit Mining Systems

Download or read book Optimization of the Design of Open Pit Mining Systems written by Beverly Chew Duer and published by . This book was released on 1962 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Intelligent Systems in Operations  Methods  Models and Applications in the Supply Chain

Download or read book Intelligent Systems in Operations Methods Models and Applications in the Supply Chain written by Nag, Barin and published by IGI Global. This book was released on 2010-03-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides knowledge and insights on present and future AI applications in Operations Management presenting tools and decisions in terms of theoretical and empirical models, methods and proposed applications"--Provided by publisher.

Book A Mixed Integer Linear Programming Model for Truck shovel Scheduling to Minimize Fuel Consumption

Download or read book A Mixed Integer Linear Programming Model for Truck shovel Scheduling to Minimize Fuel Consumption written by Mpyana Danny Bajany and published by . This book was released on 2017 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the mining industry, methods to reduce the fuel consumed in the haulage operations are largely sought as a result of the growing energy demand, fuel cost increases and adverse environmental impacts due to the emission of greenhouse gases. Fuel consumption reduction in the open-pit mine operations can be achieved by improving the performance efficiency, technology efficiency, equipment efficiency and operation efficiency of trucks, shovels and the truck-shovel dispatching system. The study conducted in this work lies within the operational strategies that seek to improve the operational efficiency of the truck-shovel dispatching system. A mixed integer linear programming model (MILP) for the truck-shovel dispatching system is developed. This optimization model minimizes the fuel consumption of dump trucks and shovels, meets the handling demand of dump sites and determines the optimal number of trips that each truck should realize on each route of the mine. The developed model is built using an m-truck-for-n shovels strategy so that a truck could be allocated to different shovels during a shift. A case study of an under-trucked mine is considered for optimization and simulation of the developed model. To illustrate the effectiveness of the MILP model, its performance is compared to a fixed dispatch method. The results show that the MILP model decreases the average fuel consumption per ton for the fleet of trucks, shovels and for the truck-shovel system. Therefore, a saving of fuel is achieved by the MILP model. Two other possible applications of the MILP model are also illustrated in this study. The first application shows how this model can be used in the case of a heterogeneous fleet of shovels to determine the best allocation of shovels that can lead to minimum fuel consumption in the haulage operations. The second application shows how the MILP model can be used to identify the best fleet in terms of fuel consumption and litres per ton between different fleets having different match factors.

Book Advanced Analytics in Mining Engineering

Download or read book Advanced Analytics in Mining Engineering written by Ali Soofastaei and published by Springer Nature. This book was released on 2022-02-23 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.

Book Optimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete Event Simulator and a Context Based Alert System

Download or read book Optimization of the Haulage Cycle Model for Open Pit Mining Using a Discrete Event Simulator and a Context Based Alert System written by Pedro Pablo Vasquez Coronado and published by . This book was released on 2014 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The loading cycle in an Open Pit mine is a critical stage in the production process that needs to be controlled in detail for performance optimization. A comprehensive Alert System designed to notify supervisors of cycle times that are below the required performance standards is proposed. The system gives an alert message when one or several trucks are idle or the time of completing production tasks are over a predefined value. This alert is identified by the system and compared with pre-established Key Performance Indicators (KPIs) in order to determine corrective actions. The goal is to determine the strategies that help the production supervisor to optimize the haulage cycle model. A discrete-event simulator has been built in order to analyze different scenarios for route design and queue analysis. A methodology that utilizes different algorithms has been developed in order to identify the least productive times of the fleet. These results are displayed every time the simulation has finished. This research focuses on the optimization of haulage. However, the system is intended for implementation in subsequent stages of the production process, and the resulting improvement could impact mine planning and management as well. Topographic and drilling exploration data from a mine located hypothetically in the state of Arizona, were used to build a block model and to design an open pit; an Arena-based simulation was used to generate operating cycles that represent actual operations (As-Is model). Once the Alert System is implemented, adjustments were applied, and a new simulation was performed taking into consideration these adjustments (To-Be model), including comparative analysis and statistical results.

Book Mine Plan Optimisation

Download or read book Mine Plan Optimisation written by Martin L. Smith and published by CRC Press. This book was released on 2015-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides a range of tools for optimization in the mineral industry, including examples with mathematical programming. Topics covered include a survey of the application of optimisation technologies; a review of optimisation algorithms with math programming, math modelling and an introduction to AMPL (a widely used math modelling language), applications of linear programming to business improvement studies, surface mining applications, underground mining applications and options analysis. The math programming and AMPL is supported by the www.ampl.coma and by the author’s site, www.minesmith.com.au. This volume is intended for course use and was developed for 3rd and 4th year university education in mine planning and design or mine optimisation. Engineers, planners and policy makers in the minerals industry may find it beneficial for their professional activities as well.