Sequential quadratic programming-based non-cooperative target distributed hybrid processing optimization method

The distributed hybrid processing optimization problem of non-cooperative targets is an important research direction for future networked air-defense and anti-missile firepower systems. In this paper, the air-defense anti-missile targets defense problem is abstracted as a nonconvex constrained combinatorial optimization problem with the optimization objective of maximizing the degree of contribution of the processing scheme to non-cooperative targets, and the constraints mainly consider geographical conditions and anti-missile equipment resources. The grid discretization concept is used to partition the defense area into network nodes, and the overall defense strategy scheme is described as a nonlinear programming problem to solve the minimum defense cost within the maximum defense capability of the defense system network. In the solution of the minimum defense cost problem, the processing scheme, equipment coverage capability, constraints and node cost requirements are characterized, then a nonlinear mathematical model of the non-cooperative target distributed hybrid processing optimization problem is established, and a local optimal solution based on the sequential quadratic programming algorithm is constructed, and the optimal firepower processing scheme is given by using the sequential quadratic programming method containing non-convex quadratic equations and inequality constraints. Finally, the effectiveness of the proposed method is verified by simulation examples.

Time consumption, productivity, and cost analysis of the motor manual tree felling and processing in the Hyrcanian Forest in Iran

An empirical time study was cohducted to evaluate the performance of the current felling and tree processing methods used in Northern Iran＇s Hyrcanian forest. Motor-manual felling is done mostly in winter, while tree processing starts when the felling season ends. We identified the elements of felling and processing work phases, and 142 cycles and 110 cycles were respectively recorded for felling and processing. On the basis of data analysis （time study）, we developed statistical models of effective time consumption in the respective work phase and for its total productivity. The production rate of felling with and without delay time was 9.7 and 11.65 trees per hour （0.17 USD.m^-3 and 0.21 USD-m^-3）, and the average production cost with and without delay was 1.21 USD and 1.45 USD per tree, respectively. The average productivity of processing was 35 m^3 per effective hour and the average unit cost of processing was 0.92 USD.m^-3.

Life cycle inventory for base metal ingots production in Japan including mining and mineral processing processes by cost estimating system database

CO2 emission levels of copper and zinc mines from which Japanese smelters import ore concentrates into Japan,were estimated by using a database called MLED. Eleven copper mines selected from data availability of mine site covered 84% of the total imported concentrates. Adding inventories of sea transportation and smelting processes to mine development process,total CO2 emission level for copper and zinc ingots produced in Japan were calculated. The results show that the emission share of mining and mineral processing processes for each mine is indicated around 30%-70% of total emission for ingots,which implies the importance of including the mining activities to the inventory of upper stream products.

SINGLE MACHINE SCHEDULING WITH CONTROLLABLE PROCESSING TIMES AND COMPRESSION COSTS （PART I：EQUAL TIMES AND COSTS）

Abstract Most papers in scheduling research have treated individual job processing times as fixed parameters. However, in many practical situations, a manager may control processing time by reallocating resources. In this paper, authors consider a machine scheduling problem with controllable processing times. In the first part of this paper, a special case where the processing times and compression costs are uniform among jobs is discussed. Theoretical results are derived that aid in developing an O(n 2) algorithm to slove the problem optimally. In the second part of this paper, authors generalize the discussion to general case. An effective heuristic to the general problem will be presented.

SINGLE MACHINE SCHEDULING WITH CONTROLLABLE PROCESSING TIMES AND COMPRESSION COSTS ： PROOF OF THEOREMS

Abstract This report is virtually the appendix part of the author's previous paper which includes the proofs for the theorems and lemmas.

An LMI Method to Robust Iterative Learning Fault-tolerant Guaranteed Cost Control for Batch Processes

Based on an equivalent two-dimensional Fornasini-Marchsini model for a batch process in industry, a closed-loop robust iterative learning fault-tolerant guaranteed cost control scheme is proposed for batch processes with actuator failures. This paper introduces relevant concepts of the fault-tolerant guaranteed cost control and formulates the robust iterative learning reliable guaranteed cost controller (ILRGCC). A significant advantage is that the proposed ILRGCC design method can be used for on-line optimization against batch-to-batch process uncertainties to realize robust tracking of set-point trajectory in time and batch-to-batch sequences. For the convenience of implementation, only measured output errors of current and previous cycles are used to design a synthetic controller for iterative learning control, consisting of dynamic output feedback plus feed-forward control. The proposed controller can not only guarantee the closed-loop convergency along time and cycle sequences but also satisfy the H∞performance level and a cost function with upper bounds for all admissible uncertainties and any actuator failures. Sufficient conditions for the controller solution are derived in terms of linear matrix inequalities (LMIs), and design procedures, which formulate a convex optimization problem with LMI constraints, are presented. An example of injection molding is given to illustrate the effectiveness and advantages of the ILRGCC design approach.

Research on Optimal Delivery Days and Customer Satisfaction Based on Quality Costs

Customer satisfaction is an important index to evaluate the competitiveness and efficiency of an enterprise. Every enterprise is confront with the subject of supplying with the customer satisfactory products at the lowest costs and the highest manufacturing speed. Regarding the delivery days of a coach company as a design variable, this paper builds up an optimization model of customer satisfaction, and suggests an effective method to reduce costs and increase customer satisfaction based on analysis and research.

VPLS Based Quality and Cost Control for Tennessee Eastman Process

Product quality and operation cost control obtain increasing emphases in modern chemical system engineering. To improve the fault detection power of the partial least square (PLS) method for quality control, a new QRPV statistic is proposed in terms of the VP (variable importance in projection) indices of monitored process variables, which is significantly advanced over and different from the conventional Q statistic. QRPV is calculated only by the residuals of the remarkable process variables (RPVs). Therefore, it is the dominant relation between quality and RPV not all process variables (as in the case of the conventional PLS) that is monitored by this new VP-PLS (VPLS) method. The combination of QRPV and T2 statistics is applied to the quality and cost control of the Tennessee Eastman (TE) process, and weak faults can be detected as quickly as possible. Consequently, the product quality of TE process is guaranteed and operation costs are reduced.

COST FB2钢热变形行为及热加工图

利用Thermecmastor-Z热模拟试验机对COST FB2钢进行了等温压缩试验,研究了其在不同热变形工艺参数下的热变形行为、显微组织演变规律以及最优的热加工工艺窗口。结果表明,热变形过程中,流变应力随着变形温度的升高及应变速率的降低而降低,在不同的应变速率与变形温度下,流变应力曲线呈现出动态再结晶、动态回复与加工硬化特征。基于Arrhenius方程和Zener-Hollomon函数,求得COST FB2钢的热变形激活能Q为449.56 kJ·mol-1。建立了本构模型,该模型预测值与试验值吻合度较高。基于Prasad失稳判据建立了COST FB2钢热加工图,结合热变形后的显微组织特征,发现失稳区主要集中分布于变形温度900~950℃、应变速率0.04~0.5 s^(-1)范围内,其显微组织为沿变形方向拉长的带状组织,并存在局部流动性,对应的功率耗散值η较低;安全区显微组织主要特征是部分动态再结晶组织,功率耗散值η较高。确定了其0.8应变量下合理的热加工工艺窗口为:变形温度975~1050℃、应变速率0.01~0.14 s^(-1)以及变形温度1050~1175℃、应变速率0.01~0.5 s^(-1)。

Stability Estimation for Markov Control Processes with Discounted Cost

This article explores controllable Borel spaces, stationary, homogeneous Markov processes, discrete time with infinite horizon, with bounded cost functions and using the expected total discounted cost criterion. The problem of the estimation of stability for this type of process is set. The central objective is to obtain a bounded stability index expressed in terms of the Lévy-Prokhorov metric;likewise, sufficient conditions are provided for the existence of such inequalities.

Process Modeling of Ferrofluids Flow for Magnetic Targeting Drug Delivery

Among the proposed techniques for delivering drugs to specific sites within the human body, magnetic targeting drug delivery surpasses due to its non-invasive character and its high targeting efficiency. Although there have been some analyses theoretically for magnetic drug targeting, very few researchers have addressed the hydrodynamic models of magnetic fluids in the blood vessel of human body. This paper presents a mathematical model to describe the hydrodynamics of ferrofluids as drug carriers flowing in a blood vessel under the applied magnetic field. A 3D flow field of magnetic particles in a blood vessel model is numerically simulated in order to further understand clinical application of magnetic targeting drug delivery. Simulation results show that magnetic nanoparticles can be enriched in a target region depending on the applied magnetic field intensity. Magnetic resonance imaging confirms the enrichment of ferrofluids in a desired body tissue of Sprague-Dawley rats. The simulation results coincide with those animal experiments. Results of the analysis provide the important information and can suggest strategies for improving delivery in favor of the clinical application.

Cost Optimization of Surface Grinding Process

This paper introduces a new study on cost optimization of surface grinding. In the study, the effects of grinding parameters including the dressing regime parameters, the wheel life and the initial grinding wheel diameter on the exchanged grinding wheel diameter which were investigated. In addition, the influence of cost parameters including the machine tool hourly rate and the grinding wheel cost were taken into account. In order to find the optimum exchanged grinding wheel diameter, a cost optimization problem was built. From the results of the optimization problem, a model for determination of the optimum exchanged grinding wheel diameter was found. By using the optimum diameter, both the grinding cost and grinding time can be reduced significantly.

Adaptive Strategies for Accelerating the Convergence of Average Cost Markov Decision Processes Using a Moving Average Digital Filter

This paper proposes a technique to accelerate the convergence of the value iteration algorithm applied to discrete average cost Markov decision processes. An adaptive partial information value iteration algorithm is proposed that updates an increasingly accurate approximate version of the original problem with a view to saving computations at the early iterations, when one is typically far from the optimal solution. The proposed algorithm is compared to classical value iteration for a broad set of adaptive parameters and the results suggest that significant computational savings can be obtained, while also ensuring a robust performance with respect to the parameters.

The Cost Control of Motor Housing Process

As for the assembly line of cost control of Toyota company in, the motor housing also needs cost control. Because the supply quantity of small motor is very large every month, the production line is needed to solve this problem. In addition to the control of equipment, personnel quantities and wages, the introduction of raw materials also needs to be controlled. Only in this way can we fundamentally solve the problem of high cost and low profit.

Cost Control with Modeling in Motor Housing Process

With regards to the assembly line of cost control of Dechang company,the motor housing′s cost control of process will be necessarily appreciated.Though the supply quantity is large in a machine and the price of motor housing is cheaper,the cost control of automatic production line is significant in this respection.It is found that insufficiency power is main cause for production line failure.The cost control of equipment includes to structure wheel,conveyor and motor for benefit which also needs to be controlled in detail.Only in this way can we fundamentally resolve the main problem of high cost process.When the capital price L increases,Avc also increases too with nonlinear meantime,and Tc&Vc increase in proportion to K.Among them,the Tc increases the highest and then Vc increases lightly.Generally when labour quantity L and capital quantity K increase cost increases in proportion.

Full-Process Cost Control of Real Estate Development Enterprises

In the present paper, cost control existing in stages of decision making, drawing design, construction bidding, construction, completion settlement, product sales of real estate development are analyzed and solutions for cost control in each stage are provided.

外卖配送电动自行车换电柜选址定容实证研究

针对外卖配送电动自行车换电柜布局不合理带来的部分换电柜利用率低与部分换电需求得不到及时满足的供需矛盾问题,本文通过聚类POI(Point of Interest)数据确定外卖配送起止点,并通过仿真模拟外卖骑手配送路径预测外卖配送电动自行车换电需求时空分布,构建换电柜运营商总成本最低和用户满意度最高的多目标换电柜选址定容模型,并以新乡市主城区为例,采用NSGA-II(Non-dominated Sorting Genetic Algorithm II)算法得到换电柜选址定容方案。研究结果表明:仿真模拟得出的换电需求时间分布预测值与实际值基本吻合,换电需求在11:00,14:00,17:00和20:00左右急剧增长,且11:00和14:00左右的换电需求量显著高于17:00和20:00左右的换电需求量,外卖骑手配送路径仿真模拟方法在换电需求预测上具有较高的预测精度;换电柜选址方案不能同时满足运营商和用户利益均为最优,用户满意度的提高需以增加运营商总成本为代价;同时,兼顾运营商和用户利益的新乡市主城区外卖配送电动自行车换电柜最佳建设数量为26,其中,容量为11的换电柜11个,容量为22的换电柜8个,容量为33的换电柜7个;新乡市主城区应按照备选点编号15-7-19-17依次新增换电柜至30个,此时,用户满意度最大,若继续增加换电柜建设数量,只会增加运营商总成本。

产程三维导航系统在高龄产妇中的应用及对产程和妊娠结局的影响研究

目的:探讨产程三维导航系统在高龄产妇中的应用及对产程和妊娠结局的影响。方法:选择2020年4月—2021年6月广州市花都区人民医院产科收治的高龄产妇60例为研究对象,按随机数字表法将其分为两组,各30例。所有产妇均拟行阴道分娩,对照组采用传统方法监测,观察组采用产程三维导航系统监测。比较两组产妇胎先露下降情况、产时出血量、产后2 h出血量、阴道分娩者产程时间、新生儿Apgar评分、妊娠结局。结果:观察组胎先露下降情况优于对照组,产时出血量、产后2 h出血量均少于对照组,差异均有统计学意义(P<0.05);两组产钳助产率、新生儿出生1 min Apgar评分比较,差异均无统计学意义(P>0.05);观察组阴道分娩率高于对照组,剖宫产率、新生儿胎儿窘迫和新生儿窒息发生率均低于对照组,差异均有统计学意义(P<0.05);观察组阴道分娩者第一、二产程均短于对照组阴道分娩者,差异均有统计学意义(P<0.05)。结论:产程三维导航系统用于高龄产妇中,能减少产时出血量、产后2 h出血量及动态监测胎先露下降的水平,提高新生儿Apgar评分,能有效提高高龄产妇阴道分娩率,缩短阴道分娩产程,降低剖宫产率、新生儿胎儿窘迫和新生儿窒息发生率。

洒点喷涂在压路机零部件上的应用

为了降低路面机械涂装的制造成本,通过对洒点漆的组成、洒点喷涂工艺、喷涂设备及其施工参数进行了研究并进行施工验证试验,同时对比分析了洒点喷涂工艺与刮腻子工艺在工程机械行业的应用成本。结果表明洒点漆喷涂漆施工工艺及喷涂质量满足工程机械的部分零部件涂装要求,可用于工程机械外观等级要求不高的零部件上。相比刮腻子工艺,洒点漆喷涂工艺可节省涂装成本,降低制造费用,可在工程机械行业推广应用。

基于冲压CAE仿真技术的顶盖降本工艺研究

以某车型顶盖冲压工艺开发为例,按照传统冲压工艺设计无法满足小冲压线生产,通过对传统冲压工艺创新设计,并利用AutoForm数值模拟软件对新工艺进行分析论证,优化CAE分析的参数,使冲压CAE分析结果满足指标要求,最终使需要在大冲压线生产的零件实现在小冲压线生产,达到降本增效及绿色冲压生产的目的。