Improvement of Production Performance of Wool by Coat Treatment in Fine-Wool Sheep

[ Objective] To explore the effects of coats on production and quality of wool fibers in fine-wool sheep. [ Method] The coats made of pelypropylene were put on fine-wool sheep after shearing and taken off next year, The effects of coats on structure, production and quality of wool f bers, wool sweat secretion, percentage of clean wools, impurities and wool textile process in fine-wool sheep were observed, [ Result] After the sheep were dressed one year later, the average fiber length was increased by 0.33 cm （P 〈 0.05） ; the percentage of clean wools was increased by 12.44% （ P 〈 0.01 ） ; the yield of clean wools were increased by 0.44 kg （ P 〈 0.01 ） ; the wool grease content was increased by 6.44% （ P 〈 0.01 ） ; the length of polluted staple was decreased by 3.10 cm （ P 〈 0.01 ） ; and the impurity content was decreased by 21.25% （ P 〈 0.01 ）. [ Conclusion] Coats remarkably improve quality of wool fibers and production performance in fine-wool sheep.

Status of Agricultural Production and Crop Variety Improvement in Thailand

We introduced basic conditions of agricultural production in Thailand, and variety improvement of major crops, including rice, cassava, rubber, and vegetable, in the hope of providing reference for agricultural production and crop variety improvement in Hubei Province and even in the whole country.

Coal Seam Permeability Improvement and CBM Production Enhancement by Enlarged Borehole: Mechanism and Application

The permeability is a key factor to determine the efficiency of coalbed methane(CBM)production.The borehole enlargement technology using hydraulic and mechanical measures to cut coal is an effective method to increase the coal seam permeability and improve the efficiency of gas drainage.Reasonable design of the layout of boreholes is the prerequisite for efficient and economical gas drainage.In this paper,based on the strain-softening model,the stress and permeability model of the coal seam around the enlarged borehole was built,and based on the dual-medium model,the gas migration model in the coal seam was established.Then the borehole enlargement gas drainage engineering of E9/10 coal seam in Pingdingshan No.8 coal mine was simulated by using COMSOL Multiphysics software.The distribution of stress and permeability in the coal seam around a borehole was analyzed,and the reasonable borehole radius of 0.25 m and reasonable borehole spacing of 6 m were determined.Finally,in Pingdingshan No.8 coal mine,field application was carried out in E9/10 coal seam-21070 working face from the high-level gas drainage roadway.The results show that the actual average coal slag discharge rate is 77.82%,which achieved borehole enlargement.The natural gas flow rate from an enlarged borehole is 2.3–7.3 times that of a normal borehole,and the influence range of enlarged boreholes is more than 6 m.The average gas drainage concentration of a group of enlarged boreholes is about 42%,and the average gas drainage amount is about 0.53 m3/min.After two months of gas extraction,the outburst risk in this area was eliminated,which provides a guarantee for safe coal mining.

Comparative Analysis and Performance Improvement of Production Lines in Champion Breweries Plc and Nigerian Bottling Company

In this study,a comparative analysis of the production lines of Champion Breweries PLC and Nigerian Bottling Company was performed in order to determine ways of improving the productivity growth in Champion Breweries Plc.To achieve this aim,a bottling line model was developed and validated;studies were also carried out to ascertain the bottling line technical practices that are presently being adopted in the brewery plant.The problems affecting the smooth operation of the bottling lines were unraveled and methods of solving them have been recommended.Also,the overall equipment effectiveness(OEE)model was developed and used in the analysis in addition to other performance measurement techniques,to measure the production losses and to identify areas of process improvements.Results showed that the OEE in the existing production lines of Champion Lager Beer and Nigerian Bottling Company(Coca-Cola)is 61.5% and 62.0% respectively.Theoretical validation technique was used to validate these production lines and as a result,the validated model shows an improvement in the OEE score.The validated OEE models are 63.1% and 63.0% respectively.The adoption of the results in these validated models will definitely lead to improved productivity of both production lines.

Performance Evaluation and Improvement of Chipset Assembly & Test Production Line Based on Variability

"Factory physics principles" provided a method to evaluate the performance of a simple production line, whose fundamental parameters are known or given. However, it is difficult to obtain the exact and reasonable parameters in actual manufacturing environment, especially for the complex chipset assembly & test production line(CATPL). Besides, research in this field tends to focus on evaluation and improvement of CATPL without considering performance interval and status with variability level. A developed internal benchmark method is proposed, which established three-parameter method based on the Little′s law. It integrates the variability factors, such as processing time, random failure time, and random repair time, to meet performance evaluation and improvement. A case study in a chipset assembly and test factory for the performance of CATPL is implemented. The results demonstrate the potential of the proposed method to meet performance evaluation and emphasise its relevance for practical applications.

Technology and Practice of Stabiliing Oil Production and Controlling Water Cut in Kalamkas Oilfield in Central Asia

In this paper, by in-depth geological research of Kalamkas Oilfield in Central Asia, the geological body has been re-ascertained; combined with fine study of reservoir engineering, based on the understanding of the distribution of remaining oil horizontal wells have been given full play to stabilizing oil production and controlling water cut, reducing the producing pressure drop, improving well productivity and other advantages, and the development and deployment has been optimized; horizontal wells have been applied to solve problems such as old well casing damages, shutting down wells, low-productivity and low- efficiency wells, and high water cut wells to improve the utilization rate of old wells; through separate layer system improved injection production pattern, adjustment wells have been optimized and deployed, and part measures wells have been preferably selected to tap the residual oil improve the degree of reserves control realize the stabilization of oil production and control of water cut in an old oilfield, and further improve the development effects.

The practice of clean production in the Ironmaking Plant of Tangshan Iron & Steel Co.,Ltd.

The Ironmaking Plant of Tangshan Iron & Steel Co.Ltd.takes clean production as its orientation. It decreases silicon to smelt through increasing the entering furnace sinter ratio,stabilizing coke quality by tackling key problems,increasing coal injection ratio,as well as keeping the blast furnace smooth running and so on.The energy consumption of sinter working procedure has been greatly reduced through optimizing the ore blender structure,enhancing the quality of fuel and flux,increasing the quicklime amount,reclaiming the remaining heat of the annulus cooling system and deepening the material layer to sinter.We have achieved the repetition economy and the secondly resource has been used synthetically with advanced producing technics.The environment around the plant has been greatly improved by preventing,monitoring and fathering the moving pollution root,at the same time,the economy and environment development in phase has been greatly accelerated.

Analysis of Waste in the Production of Concrete Blocks---A Case Study in the Goias Industry

An ever more demanding consumer market and the need for companies to be more competitive have led organizations to try to eliminate waste. This research is a case study which presents a proposal for intervention in order to improve performance of a pre-cast concrete block factory in outer Goihnia. As a first step, waste in the production process was identified through analysis of data on time involved in each step of the process. Then, applying the concepts of lean production, a list of activities was drawn up with a view to eliminating non-value-added work, identifying waste, decreasing cycle time, streamlining the production process and increasing the flexibility and transparency of the process. From the results, it was possible to identify the sources of waste and provide management with information for strategic decisions about production. Finally, various suggestions were made with a view to eliminating or mitigating bottlenecks in the production process.

Efficiency Analysis Associated with Production Line in Champion Breweries Plc

This study analyses the production line system in Champion Breweries Plc in order to minimize production losses due to production downtime that hinders the system efficiency.In response to today’s highly competitive business environment this has prompted businesses to analyse and improve their existing production systems for sustainability gains.The major problems identified in this study which hampered the productivity include:high efficiency losses,low throughput,low overall equipment effectiveness(OEE)and low productivity volume.Therefore,this study aims at developing a technical model for attaining optimal efficiency.Presented also,are findings from literature.Efficiency analysis of the line was performed using the OEE model,and as a result the disturbances that constitute production losses were studied,major efficiency losses were identified,and their root causes were investigated.Results showed that the OEE in existing production line of Champion Lager Beer was 61.5%;which is below the company’s target.The OEE model for the existing production line was validated using theoretical validation techniques.The resulting validation model showed an improved OEE score with the validated OEE for Champion Lager Beer being 63.1%.Therefore,the achieved results in the validation model can easily be adapted after similar studies in order to achieve the company’s target and also boost production capacity.

Coal mine safety production forewarning based on improved BP neural network

Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.

Multi-objective reconfigurable production line scheduling for smart home appliances

In a typical discrete manufacturing process,a new type of reconfigurable production line is introduced,which aims to help small-and mid-size enterprises to improve machine utilization and reduce production cost.In order to effectively handle the production scheduling problem for the manufacturing system,an improved multi-objective particle swarm optimization algorithm based on Brownian motion(MOPSO-BM)is proposed.Since the existing MOPSO algorithms are easily stuck in the local optimum,the global search ability of the proposed method is enhanced based on the random motion mechanism of the BM.To further strengthen the global search capacity,a strategy of fitting the inertia weight with the piecewise Gaussian cumulative distribution function(GCDF)is included,which helps to maintain an excellent convergence rate of the algorithm.Based on the commonly used indicators generational distance(GD)and hypervolume(HV),we compare the MOPSO-BM with several other latest algorithms on the benchmark functions,and it shows a better overall performance.Furthermore,for a real reconfigurable production line of smart home appliances,three algorithms,namely non-dominated sorting genetic algorithm-II(NSGA-II),decomposition-based MOPSO(dMOPSO)and MOPSO-BM,are applied to tackle the scheduling problem.It is demonstrated that MOPSO-BM outperforms the others in terms of convergence rate and quality of solutions.

Modeling and optimization for oil well production scheduling

In this paper,an oil well production scheduling problem for the light load oil well during petroleum field exploitation was studied.The oil well production scheduling was to determine the turn on/off status and oil flow rates of the wells in a given oil reservoir,subject to a number of constraints such as minimum up/down time limits and well grouping.The problem was formulated as a mixed integer nonlinear programming model that minimized the total production operating cost and start-up cost.Due to the NP-hardness of the problem,an improved particle swarm optimization(PSO) algorithm with a new velocity updating formula was developed to solve the problem approximately.Computational experiments on randomly generated instances were carried out to evaluate the performance of the model and the algorithm's effectiveness.Compared with the commercial solver CPLEX,the improved PSO can obtain high-quality schedules within a much shorter running time for all the instances.

Productivity Improvement Model without Increasing Operation’s Risk and Fatigue

Productivity improvement of an operation without increasing operation risk and operation fatigue that increase the needed relaxation allowance is an important subject in process design. This research subject stimulates researchers to focus on improving the productivity of the whole production process by changing the technique of performing significant operations in the process. However, two important issues that affect the implementation of any new technique were not considered in the pervious research works. These are the risk magnitude of the new technique on the workplace environment and the fatigue level that affect human's health. In this paper, a model was developed that maximize the productivity of the production process by selecting the best technique to perform significant process operations among proper candidate techniques that improve these operations productivity while minimizing these operations risk and fatigue.

Improvement of Concrete Properties and Reinforcing Steel Inhibition Using a Natural Product Admixture

The use of a natural white juice, taken from magrabe banana stem, as concrete admixture to improve mechanical and physicrvchemical properties of concrete has been studied. The compressive strength, bulk density the free lime liberated during hydration and the combined water content were determined. The results indicate that the admixture acts as a retarder in most cases and as accelerator in some ones. Also, the admixture effect on the corrosion resistance of the reinforcing steel against surrounding aggressive media has been investigated using galvanostatic polarization technique. The addition of 0.2% admixture leads to the more inhibition of the steel

Empowerment Mechanisms and Empirical Evidence of Payment Technology in Capacity Expansion and Quality Improvement of Residents’Consumption

The time-varying difference-in-difference model is used to identify the impact of payment technology on residents’consumption,and the moderation effect analysis method is used to identify its mechanism.It is found that payment technology promotes consumption capacity expansion and quality improvement(CEQI)through three pathways of alleviating liquidity constraints,reducing transaction costs and weakening the payment of pain.The parallel and serial mechanisms of the three are further explored.The effect of payment technology on the CEQI of residents’consumption shows obvious heterogeneity due to differences in urban and rural household registration and financial literacy.Based on the empirical research results and the national conditions of China,targeted policy recommendations are proposed from the demand side,the supply side and the technological side.

Research on electronic word-ofmouth for product and service quality improvement:bibliometric analysis and future directions

Purpose-This paper aims to analyze high-quality papers on the research of electronic word-of-mouth(eWOM)for product and service quality improvement from 2009 to 2022,in order to fully understand theirhistorical progress,current situation and future development trend.Design/Methodology/Approach-This paper adopts the bibliometrics method to analyze the relevantliterature,including publishing trend and citation status,regional and discipline area distribution,andinfluential publications.Secondly,the VOSviewer is used for literature co-citation analysis and keywordco-occurrence analysis to obtain the basic literature and research hotspots in this research field.Findings-Firstly,the study finds that the number of publications basically shows an increasing trend,and thosepublications are mainly published in tourism journals.In addition,among these papers,China has the largestnumber of publications,followed by the USA and South Korea.Through co-citation analysis of literature andkeyword co-occurrence analysis,22 foundational papers and six main research topics are obtained in this paper.Finally,this paper elaborates on the development trend of the research topic and future research directions in detail.Originality/value-This is the first paper that uses bibliometrics to analyze and review relevant researcheson eWOM for product and service quality improvement,which is helpful for researchers to quickly understandits development status and trend.This review also provides some future research directions and provides areference for further research.

Requirements in performance measurement systems of construction projects from the lean production perspective

Performance measurement(PM)generates useful data for process control,facilitates communication between different sectors,and helps to align efforts on the most important aspects of the business.Thus,PM plays a key role in the management of projects and organizations.PM is also important in the implementation of lean production principles and methods,such as reducing the share of nonvalue-adding activities,increasing process transparency,building continuous improvement into the process,and benchmarking.Moreover,the adoption of the lean production philosophy requires changes in PM.Despite its importance,limited studies have been conducted on the use of PM systems for assessing the impact of lean production programs in construction projects.In addition,studies on how lean companies(or projects)use performance measurement and to what extent the indicators adopted reflect the result of actions that have been undertaken are limited.This study proposes a set of requirements in PM systems of construction projects from the perspective of lean production and a taxonomy of performance metrics for lean production systems.Five empirical studies have been carried out on construction companies from South America involved in the implementation of lean production systems.The scope of this investigation is limited to the construction projects as production systems rather than PM at the level of construction organizations.

Integrated Online Consumer Preference Mining for Product Improvement with Online Reviews

Exploring consumer preferences for a product is essential for the enterprise in product improvement. Many studies have been conducted in consumer preference. However, few studies have concentrated on evaluating the product and service characteristics of a speci?c product, to facilitate product and service improvements. This study proposes a systematic research framework for exploring major product and service features that re?ect consumer preferences based on the online reviews. By creatively integrating quantitative studies of multiple linear regression and meta-analysis,this study expects to generate a feature-based preference importance ranking. Furthermore, by adopting an importance-satisfaction analysis, we can draw a matrix that is valuable in product improvement.Coupled with the preference rankings, implications for competitive strategies that facilitate product improvement can be drawn. The effectiveness of this methodology is veri?ed by a case study of laptop on the basis of the online reviews from amazon.cn.

面向产品设计改进的顾客偏好分析与预测

针对顾客产品偏好快速变化对企业分析和预测顾客偏好能力的要求,提出一种面向产品改进的顾客偏好分析与预测方法,首先构建长短期记忆网络模型,预测产品设计迭代期间的情感值和重要度,并计算预测准确度;然后通过基于产品特征情感变化模式的产品设计改进模型判断各个特征的变化模式,明确待改进的产品特征及改进优先级;最后以DJI Mini 2无人机的在线评论为例验证了方法的有效性。

基于POE模型的工业机器人运动学参数二次辨识方法研究

针对工业机器人在高度制造领域精度不高的问题,本文提出了一种基于POE模型的工业机器人运动学参数二次辨识方法。阐述了基于指数积(Product of exponential, POE)模型的运动学误差模型构建方法,并建立基于POE误差模型的适应度函数;为实现高精度的参数辨识,提出了一种二次辨识方法,先利用改进灰狼优化算法(Improved grey wolf optimizer, IGWO)实现运动学参数误差的粗辨识,初步将Staubli TX60型机器人的平均位置误差和平均姿态误差分别从(0.648 mm, 0.212°)降低为(0.457 mm, 0.166°);为进一步提高机器人的精度性能,再通过LM(Levenberg-Marquard)算法进行参数误差的精辨识,最终将Staubli TX60型机器人平均位置误差和平均姿态误差进一步降低为(0.237 mm, 0.063°),机器人平均位置误差和平均姿态误差分别降低63.4%和70.2%。为了验证上述二次辨识方法的稳定性,随机选取5组辨识数据集和验证数据集进行POE误差模型的参数误差辨识,结果表明提出的二次辨识方法能够稳定、精确地辨识工业机器人运动学参数误差。