Hebei Engineering Research Center for the Intelligentization of Iron Ore Optimization and Ironmaking Raw Materials Preparation Processes, North China University of Science and Technology, Tangshan 063210, China. 2. ... Let the joint probability density function of random variable X and Y be f (X, Y), and Y is regressed with respect to X, ...

•"A Bundle Protocol to Reduce the Incidence of Periprosthetic Joint Infections After Total Joint Arthroplasty: A Single-Center Experience" Bullock et. Al …

To illustrate the joint optimization problem in real life contexts, an aircraft floor grid layout design example is shown in Fig. 1. It involves coupling of two optimization problems pertaining to two sub-system designs. The floor grid consists of layout of beams and tracks assembled together with proper spacing. While the beams are mounted ...

where CO 2 and CO stand for the concentration of carbon dioxide and carbon monoxide in the top gas. This factor reflects the amount of indirect and direct reduction reactions of the iron oxide and ranges between 0.45 – 0.52. The higher the value of ETACO is, the more efficient the BF operation is, which indicates that the oxygen is removed from the ore …

A Review on Joint Optimization of Maintenance with Production Planning and Spare Part Inventory Management July 2019 IOP Conference Series Materials Science and Engineering 530(1):012048

Abstract. Recent developments in modelling and optimization approaches for the production of mineral and energy resources have resulted in new simultaneous stochastic optimization frameworks and related digital technologies. A mining complex is a type of value chain whereby raw materials (minerals) extracted from various mineral …

We propose a joint estimation and robustness optimization (JERO) framework to mitigate estimation uncer-tainty in optimization problems by seamlessly incorporating …

Keywords. Ilmenite; TiO 2 industries; Magnetic mineral separation; Particle morphology; Textural constraints. Introduction. In opposition of the popular belief, the most widely used titanium product is not the titanium metal and alloys, but rather is the titanium dioxide (TiO 2) pigment.This pigment provides whiteness and opacity to a vast range of …

According to the basic principle of the AHP, the comprehensive evaluation (O) index system of mining method optimization for a moderately inclined, medium-thick ore body (i.e., target layer) was ...

A new mine planning paradigm is considered herein, integrating two elements: stochastic simulation and stochastic optimization. These elements provide an extended …

Mining complexes can contain multiple mines operating simultaneously along with multiple processing streams, stockpiles and products. Stochastic optimization methods developed to date generate only local optimal solutions in the sense that they do not consider the entire mining complex. This paper presents an extension of a multi-stage …

The pit optimization for iron ore mine has been carried out successfully using Whittle Software to identify the optimal pit shell across a range of selling …

We evaluated an opioid-minimizing enhanced recovery after surgery (ERAS) pathway in an inpatient setting designed to presurgically optimize and prepare patients …

Iron carbon agglomerates (ICA) are used to realize low-carbon blast furnace ironmaking. In this study, the central composite design based on response surface methodology was used to synergistically optimize the compressive strength, reactivity, and post-reaction strength of ICA. Results show that the iron ore addition ratio significantly …

its local dataset. In contrast, any single optimization method (PE, PC, or PU) outperforms standalone training and the baseline. Joint optimization of all optimization methods achieves the best per-formance. Compared with standalone training, it improves rank-1 accuracy by over 18% on the two smallest datasets [1, 29]. Moreover,

In order to study in depth the differences in basic characteristics between iron ore fines commonly used by a steel company, and guide the sintering performance plant to choose the best ore allocation method, experimental studies on the basic characteristics of seven iron ore powders of three sizes were carried out using micro-sintering equipment, …

Download Citation | Joint ore extraction and in-pit dumping optimisation | This paper describes a new software product designed for the net present value optimisation …

Joint optimization and variable selection of high-dimensional Gaussian processes. In Proceedings of the International Conference on Machine Learning (ICML'12). Google Scholar; Chen Jingfan, Zhu Guanghui, Yuan …

The optimization proportion of nickel ore has a relatively obvious law. That is, after 2016, the optimization proportion decreases significantly; from 2009 to 2015, the optimization proportion is basically from 3.59 to 9.13%; and from 2016 to 2018, the optimization proportion is from 0.07 to 2.35%.

In the modern industry, to reduce support pressure, a variety of suppliers have begun to use the same kind of units in many types of equipment. However, highly integrated equipment is more difficult to use in traditional reliability-centered maintenance (RCM) models, and researchers start steering based on the state monitoring method. …

However, the Pareto-optimal value of the joint optimization is always the highest under the same scenario. Therefore, the joint optimization based on the interdependency structure and protection is more useful for improving the IIN performance. Download : Download high-res image (1MB) Download : Download full-size image; Fig. 11.

The intelligent ore blending model with an intelligent algorithm as the core is studied. It has a decisive influence on the development of China's steel industry. This paper first analyzes the ...

•"A Bundle Protocol to Reduce the Incidence of Periprosthetic Joint Infections After Total Joint Arthroplasty: A Single-Center Experience" Bullock et. Al Retrospective review of 3114 TJA patients 2 years before bundle implementation, 2 years post-bundle Results 62% reduction in periprosthetic infection rate for THA (10 vs 4)

Abstract. A new multistage stochastic mine production scheduling approach is developed and tested in a large operating gold mine. The approach takes short scale orebody …

The mathematical model for joint stochastic short-term production scheduling and fleet management optimization for mining complexes is formulated as a stochastic integer programming model with fixed recourse (Birge and Louveaux 2011), and builds upon the simultaneous stochastic optimization of the components of a mining …

With the development of 5G communication networks and the popularization of intelligent terminals, the computing resource intensive characteristic of various new applications poses a severe challenge to the task processing ability of intelligent terminals. In order to improve the efficiency of task processing, a joint optimization scheme for …

The paper explains the core tenets of Joint Optimization and identifies the need for artifacts to support the built in design of joint optimization in socio technical systems from the early stages ...

Conventional approaches to estimating reserves, optimizing mine planning, and production forecasting result in single, and often biased, forecasts. This is largely due to the non-linear propagation of errors in understanding orebodies throughout the chain of mining. A new mine planning paradigm is considered herein, integrating two elements: …

Download Citation | Joint ore extraction and in-pit dumping optimisation | This paper describes a new software product designed for the net present value optimisation of multi-open pit blended ore ...

Under the background of the wide application of condition-based maintenance (CBM) in maintenance practice, the joint optimization of maintenance and spare parts inventory is becoming a hot research to take full advantage of CBM and reduce the operational cost. In order to avoid both the high inventory level and the shortage of spare parts, an …