近水平露天煤矿短期计划中地质处理的适用方法

地质处理是为露天煤矿研制的短期生产计划优化软件包的一部分。短期生产计划主要包括年、季、月和周计划，而编制最频繁的当属月和周计划。为适应这一要求，对地质数据和采场界线的处理，采用了灵活适用切合矿山生产实际的方法。     

编制露天矿短期计划的交互式彩色字符图模拟开采方法

提出了一种新颖的屏幕彩色字符图形人机交互式模拟开采方法开发了相应的计算机软件。该软件适应露天矿生产计划编制的实际需要，且程序中设有不同计划周期的转换开关，故可用于年、季、月及周计划的编制。该软件已在某大型露天煤矿得到了初步应用。     

露天矿开采境界优化的模糊数学方法

针对大型露天矿开采境界优化问题,采用模糊数学的模糊综合评判原理建立了优化模型。针对某露天矿山工程实际,利用该模型对设计提出的几种方案进行优化,确定出在多种因素影响下的最优方案。     

应用遗传算法优化露天矿设备

文章结合露天矿设备的型号和数量优化问题,阐述了遗传算法的原理和优化步骤,通过实例应用表明遗传算法能很好优化露天矿设备的型号和数量。     

露天矿边坡稳定的概率方法

提出一种评价露天矿边坡稳定的新方法——概率法,并引入了变异系数的概念,通过与极限平衡法比较,证明失稳状态概率比安全系数更接近实际,适用于对露天矿边坡进行验证与设计。     

露天矿连续工艺系统可靠性计算及优化

过去在研究矿山连续工艺系统可靠性时，一般仅注重工艺系统可靠性的计算，对系统的薄弱环节仅定性地提出改进措施，很少进行可靠性优化的研究。本文在介绍连续工艺系统可靠性计算方法的基础上，按照费用最小的原则对系统可靠性进行了优化。     

哈尔乌素露天矿剥离工艺系统的优化

应用露天矿剥离工艺优化选择模型，优化准格尔矿区二期即将开发的哈尔乌素露天矿表土和岩石剥离工艺。通过研究认为哈尔乌素露天矿中部60m左右的岩石剥离最佳开采工艺是采用单斗一汽车-破碎机-胶带-排土机半连续系统，表土及上下部岩石的剥离宜采用单斗-汽车间断工艺系统。     

露天矿合理规模的确定

在确定矿山生产规模时,由于受许多内外部因素的影响而变得很困难。除此还有一些人为因素的影响,如矿山规模往往多变,造成投资极大浪费。为合理确定矿山生产规模,作者建议从影响矿山规模的各种因素分析中寻求合理确定规模的步骤。     

露天矿最终边坡角确定的神经网络方法

露天矿最终坡角确定的合理与否对整个矿山开采的经济效益有直接影响,但传统的确定方法存在一定的局限性,本文提出了露天矿最终边坡角确定的神经网络方法,经实例验证该方法是科学合理的。     

简述露天矿爆破因素及提高爆破质量方法

在露天矿工程中,穿孔爆破是一切工作的前提。而露天矿的爆破质量直接影响到铲装设备的效率,也影响其他采矿作业的正常运行。所以探究爆破作用的因素以及如何提高爆破质量具有很重要的意义。本文首先阐述了影响爆破效果的因素,进而提出了提高爆破质量的一些常用方法。     

露天矿数据仓库的研究

分析了露天矿数据仓库的应用现状,讨论了露天矿数据仓库的建设方式,并以露天矿卡车班产量和设备加油量这两个主题为例建立了相应的数据集市.     

Data‐driven mathematical modeling and global optimization framework for entire petrochemical planning operations

In this work we develop a novel modeling and global optimization‐based planning formulation, which predicts product yields and properties for all of the production units within a highly integrated refinery‐petrochemical complex. Distillation is modeled using swing‐cut theory, while data‐based nonlinear models are developed for other processing units. The parameters of the postulated models are globally optimized based on a large data set of daily production. Property indices in blending units are linearly additive and they are calculated on a weight or volume basis. Binary variables are introduced to denote unit and operation modes selection. The planning model is a large‐scale non‐convex mixed integer nonlinear optimization model, which is solved to ε‐global optimality. Computational results for multiple case studies indicate that we achieve a significant profit increase (37–65%) using the proposed data‐driven global optimization framework. Finally, a user‐friendly interface is presented which enables automated updating of demand, specification, and cost parameters. © 2016 American Institute of Chemical Engineers AIChE J, 62: 3020–3040, 2016     

Modeling and optimization methods of integrated production planning for steel plate mill with flexible customization

With diversified requirements and varying manufacturing environments, the optimal production planning for a steelmill becomes more flexible and complicated. The flexibility provides operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming (MINLP) model is proposed for the optimal planning that incorporates various manufacturing constraints and flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome theweakness in solving the MINLP problem directly. The first one is to transformthe original MINLP formulation to an approximate mixed integer linear programming using a classic linearization method. The second one is to decompose the originalmodel using a branch-and-bound based iterative method. Computational experiments on various instances are presented in terms of the effectiveness and applicability. The result shows that the second method performs better in computational efforts and solution accuracy.     

混凝沉淀法处理含铅矿坑涌水

实验采用常见的聚合氯化铝(PAC)、聚合硫酸铁(PFS)、聚丙烯酰胺(PAM)通过烧杯混凝实验进行除铅, 比较了3种絮凝剂对矿坑涌水中铅的去除效果;进而比较了3种絮凝剂分别组合之后对铅的去除效果, 筛选出既高效又经济的混凝剂组合, 并最终确定混凝剂组合为PFS和PAM。并且考察了投加顺序和pH值对组合混凝剂除铅效果的影响。结果表明:分别在最佳PAC、PFS投药条件下与PAM混用, 对含铅矿坑涌水的处理效果要比单独使用PAC、PFS任何一种絮凝剂效果好, PAM有利于提高PAC、PFS对铅的去除率。PFS与PAM组合除铅最佳工艺条件为:pH值为9.5, PFS投加量200mg/L, PAM投加量1mg/L, 投加顺序为快速搅拌时投加PFS, 慢速搅拌时投加PAM, 混凝反应时间14min, 静沉15min, 含铅矿坑涌水经该工艺处理后, 铅去除率可达99.05%, 出水铅浓度降至0.238mg/L, 达到国家污水综合排放标准(GB8978—1996)。     

某露天矿矿建工程工期可靠性分析

以某一露天矿为例，介绍了ＰＥＲＴ网络在分析建设工期可靠性中的应用，并提出了缩短工期的若干措施。     

Mixed-integer bilevel optimization for capacity planning with rational markets

We formulate the capacity expansion planning as a bilevel optimization to model the hierarchical decision structure involving industrial producers and consumers. The formulation is a mixed-integer bilevel linear program in which the upper level maximizes the profit of a producer and the lower level minimizes the cost paid by markets. The upper-level problem includes mixed-integer variables that establish the expansion plan; the lower level problem is an LP that decides demands assignments. We reformulate the bilevel optimization as a single-level problem using two different approaches: KKT reformulation and duality-based reformulation. We analyze the performance of these reformulations and compare their results with the expansion plans obtained from the traditional single-level formulation. For the solution of large-scale problems, we propose improvements on the duality-based reformulation that allows reducing the number of variables and constraints. The formulations and the solution methods are illustrated with examples from the air separation industry.     

Inventory policies and safety stock optimization for supply chain planning

In this article, traditional supply chain planning models are extended to simultaneously optimize inventory policies. The inventory policies considered are the (r,Q) and (s,S) policies. In the (r,Q) inventory policy an order for Q units is placed every time the inventory level reaches level r, while in the s,S policy the inventory is reviewed in predefined intervals. If the inventory is found to be below level s, an order is placed to bring the level back to level S. Additionally, to address demand uncertainty four safety stock formulations are presented: (1) proportional to throughput, (2) proportional to throughput with risk-pooling effect, (3) explicit risk-pooling, and (4) guaranteed service time. The models proposed allow simultaneous optimization of safety stock, reserve, and base stock levels in tandem with material flows in supply chain planning. The formulations are evaluated using simulation. © 2018 American Institute of Chemical Engineers AIChE J, 65: 99–112, 2019     

炼厂生产计划优化模型

This article addresses a production planning optimization problem of overall refinery. The authors formulated the optimization problem as mixed integer linear programming. The model considers the main factors for optimizing the production plan of overall refinery related to the use of run-modes of processing units. The aim of this planning is to decide which run-mode to use in each processing unit in each period of a given horizon, to satisfy the demand, such as the total cost of production and inventory is minimized. The resulting model can be regarded as a generalized lot-sizing problem where a run-mode can produce and consume more than one product. The resulting optimization problem is large-sized and NP-hard. The authors have proposed a column generation-based algorithm called branch-and-price （BP） for solving the interested optimization problem. The model and implementation of the algorithm are described in detail in this article. The computational results verify the effectiveness of the proposed model and the solution method.