中小型染整企业生产管理信息系统的设计与开发

本文分析了中小型染整企业对生产管理信息系统的需求,并结合具体的应用背景,提出了中小型染整企业生产管理信息系统的解决方案,具体介绍了主要模块的功能以及系统的特点。

Breeding of Mycoplasmal pneumonia-negative Swine Population Using Combination Therapy,Segregated Early Weaning(SEW) and Three-point Production System

In order to explore a breeding method for mycoplasmal pneumonia-negative swine population, the purifying effects of combination therapy, SEW and three-point breeding and management system on Mycoplasma hyopneumoniae were investigated in this study. After the processes of screening pregnant sows, programmed therapy for sows, SEW, three-point breeding and management in the barrier isolation system and programmed therapy for piglets, the newly-bred piglets were monitored as long as four months by serum antibody detection of Mycoplasma hyopneumoniae and fluorescent quantitative PCR of nose swabs. The results showed that when the newlybred five batches of piglets were older than 35 d, they were all negative by serum antibody detection and nose swab antigen detection. Therefore, the combination therapy, SEW and three-point production and management system can effectively purify Mycoplasma hyopneumoniae, providing theoretical basis and clinical experience for the control and purification of domestic mycoplasmal pneumonia.

新品推荐

Wily Introscope提升管理效能、Enterprise Linux v．4扩展性能、“支付宝”力保“天下无贼”、万维易化打造“数字化煤矿”、Sentinel LM8.

Impact of Sophisticated Stationary Forecast Techniques on the Bullwhip Effect in a Supply Chain

The bullwhip effect in a multistage supply chain was analyzed using sophisticated stationary forecasts (third order moving average and third order exponential smoothing forecasts). The third order exponential smoothing and third order moving average forecasts sometimes have a variance reducing effect on the supply chain.In a supply chain with positively correlated or independent and identically distributed (i.i.d) demands, the order variance based on simple moving average forecast (or simple exponential smoothing forecast) is larger than the order variance based on second order moving average forecast (or second order exponential smoothing forecast),and the order variance based on second order moving average forecast( or second order exponential smoothing forecast) is larger than the order variance based on third order moving average forecast( or third order exponential smoothing forecast). In addition, for i.i.d demands, third order exponential smoothing forecast leads to a larger variation than third order moving average forecast.

Options for Managing Livestock Production Systems to Adapt to Climate Change

This paper discusses recent research findings together with management schemes in preventing and managing of thermal stress by handling external and internal factors in livestock production systems. Preventive measures against thermal stress are described as basic structural adjustments and the modifications that can be implemented readily, according to animal health and welfare requirements and refer to （1） environmental modification and thermal comfort in various housing systems; （2） action on animals, such as genetic selection for breeds resistant to infectious disease, parasites and climate extremes; （3） action on feed and （4） action on staff handling the animals. Moreover, measures to be taken both in situations of chronic thermal stress and heat or cold strokes are presented as they are applied to （1） limit stress, （2） monitor the temperature felt by animals, （3） adapt diet and drinking water supplies and （4） correct physiological imbalances. Examples are given for different farm species （cattle, sheep, goat, poultry and pigs） and different production systems （intensive, extensive and alternative）. The paper concludes with a practical guide for the effective handling of thermal stress at farm level, summarizing the results from recent research studies on the specific topic.

The Effect of Executive Management Support and Cost Accountant Competency on CMS Design Effectiveness and Its Consequences： An Empirical Research of Manufacturing Business in Thailand＊

The objective of this research is to examine the antecedents and consequences of cost management systems （CMS） design effectiveness of manufacturing businesses in Thailand. The effect of CMS design effectiveness on cost information quality is investigated. Moreover, the effect of cost information quality on business success is investigated. Furthermore, executive management support and cost accountant competency are assumed to become the antecedents of CMS design effectiveness. Electronics manufacturing businesses in Thailand are samples of the research. A mail survey procedure via the questionnaire was used for data collection from accounting controllers. The results indicate that CMS design effectiveness has a positive significant effect on cost information quality. Moreover, cost information quality also has a positive significant effect on business success. Additionally, both executive management support and cost accountant competency have a positive significant effect on CMS design effectiveness.

Mining production information management system in an open pit based on GIS/GPS/GPRS/RFID

Using GIS, GPS, GPRS and RFID, a dynamic information management system of digital mining in an open pit was designed and developed.A linear programming model was set up in a practical application.By the model, the system can automatically draw up production plan of ore blending well every day.The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths.It can monitor and control the process of mining production in real time.By RFID, the system can also count the number of trucks'delivery and shovels'loading automatically.Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of mining in open pits.

Four-Closure： How Amazon, Apple, Facebook ＆ Google Are Driving Business Model Innovation

This paper explores the rapid growth of four internet-based corporations and critiques the extent to which the Internet has developed from being simply a powerful tool and enabler of industry innovation to achieving status as a fully-fledged technology-based business ecosystem. The need to develop new management theories, tools, and techniques to compete with the ＂Gang of Four＂ （Amazon, Apple, Google, and Facebook） is also discussed in some depth as well as providing a critique of traditional models/strategic approaches and more recent theories. This is considered to be an important area of research because as a new class of Internet company emerges, incumbent firms in traditional industries will need to know how to prepare for the new challenges that face them.

Effect of Silicon and Nitrogen Nutrition on Pest and Disease Intensity in Rice

Nutrition management is the most important for high yield production but it may affect the response of rice plants to pest and diseases due to the change of microclimate under rice plant canopy. The knowledge of nutrition management and its relation with pest and diseases are basis for setting up a high yield production system. Most of the pest and disease control procedures used by farmers can be considered as soil fertility management and these nutrition practices can have impact on the physiological susceptibility of crop plants to pest and diseases by affecting the plant resistance. Silicon content of plants is particularly effective against pest and diseases in rice and certain rice genotypes are more efficient accumulators of silicon, thus making them more resistant. In the absence of natural heritable resistance in rice varieties, resistance could be induced by altemate strategies to suppress certain pest and pathogens. Hence experiments were carried out in two stages during kharif 2010 and 2011 to assess the concentration of silicon in the index leaves of rice plant utilizing 133 varieties in four locations. The silica content of promising varieties ranged from 1.50% to 3.20%, 1.60% to 3.15%, 1.49% to 3.20% and 1.55% to 3.06% with a mean values of 2.50%, 2.48%, 2.51% and 2.43% at Jagtial, Warangal, Rajendranagar and Rudrur centres of Telangana region and not much variation in mean silica content in index leaves at different places. The overall yield from four locations ranged from 2,653 kg/ha to 6,860 kg/ha with a mean of 5,624 kg/ha. The yields recorded at Jagtial, Warangal, Rajendranagar and Rudrur centres ranged from 2,886 to 7,198, 2,653 to 6,831, 2,653 to 6,860 and 4,399 to 5,950 kg/ha, respectively. The lowest mean yield 5,069 kg/ha was noticed at Rudrur and the highest yield 5,940 kg/ha was found at Warangal. The variations in yields might be due to genotypic variations and also due to variations in climatic conditions of different locations.

Application of workflow technology for workshop scheduling

This paper attempts to solve the complexity of scheduling problems and meet the requirement of the ever-changing manufacturing environment. In this paper, a new Workflow-Based Scheduling System (WBSS) is proposed. The integration of Workflow Management System (WfMS) and rule-based scheduler provides us an effective way of generating a task-sheet according to the states of system and the scheduled objects. First, the definition of workflow model for scheduling is proposed, and following are the architecture and mechanism of the proposed WBSS. At last, an application is given to show how the established system works.

Development of Pull Strategies in Production Management in Order to Increase Efficiency of Manufacturing Enterprise

The article deals with possible approaches to the management of manufacturing organizations. The authors emphasize the need for integration of lean management with eco-innovation. This integration represents a sustainable development so that environmental impacts are reduced, more effective use of natural resources is achieved and production costs are reduced. Manufacturing organizations based on that approach must use so-called pull production control systems. Pull systems are most often presented in production management system--Kanban. This article also deals with specification of these systems and the development of pull strategies in production management in order to increase efficiency of manufacturing enterprise.

Application of Principles of Integrated Agricultural Systems： Results from Farmer Panels

The Integrated Agricultural Systems workgroup is examining agricultural systems of the US to determine fundamental principles that underlie successful production systems. Our hypothesis is that principles are applicable across regions, but key drivers interact to influence producer decisions and create distinct production systems. We interviewed agricultural producers to examine the underlying rationale for producer decisions and discern primary factors influencing production and marketing practices. While drivers are common among regions, interactions between drivers and influences on decision-makers vary substantially to create unique production systems. The internal social driver that values farming lifestyle is the principal factor that leads people to farming. The type of farming is partly a lifestyle choice and is influenced by other factors. Economic drivers and marketing options are primary drivers influencing production systems and management choices, as farmers provide an economic foundation for their families. While all producers employed strategies to manage production and marketing risks, these varied with different marketing channels. Identification of key drivers and principles can be used by producers, scientists and policy makers to direct agricultural production and agricultural research. New management systems can be developed that are flexible enough to respond to changing societal demands, and are environmentally and economically sustainable.

Research on coal mine safety production management decision system based on VB

Based on safety management appraisal theory, the decision system was divided into 5 function menu module, including system control module, mining coal and the tunneling working surface security evaluation module, the entire ore safety production condition appraisal module, the safety management level appraisal module of main production work area, the withdrawal system module and so on. The system operates through the constitutive procedure, outputs the main operation results by graph and form, and realizes the main function of safety evaluation.

Application of PIMS Software in Monthly Planning of Refinery Production

This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refining production such as optimized selection of crude and feedstocks, optimized selection of production scale and processing scheme, identification of bottlenecks and their mitigation,optimized selection of turnaround time and optimized selection of operating regime, which have increased the economic benefits of refining enterprises. With the further development and improvement of models the PIMS software will play an increasingly important role in formulating monthly plans of refining operations and production management at refineries. This article also explores the problems existing in refinery monthly planning, and has made recommendations on developing and improving models and reporting system, enhancement of basic data acquisition, model maintenance personnel and staff training.

Remote Multimedia Monitoring System Based on Embedded Web Server for Networked Manufacturing

A new-style remote monitoring system is proposed, which is based on enterprises' embedded web servers and can be widely used in enterprises' networked manufacturing systems. The principle and characteristics of remote monitoring system based on embedded web server are analyzed. Such a kind of system for networked manufacturing is designed, and it proves efficient and feasible in promoting communication among enterprises, improving designing and scheduling, decreasing facility failure and reducing product cost.

Diagnosis of Soil Nutrient Constraints in Small-Scale Groundnut （Arachis hyopaea L,） Production Systems of Western Kenya Using Infrared Spectroscopy

Wise decision-making on resource allocation and intervention targeting for soil management cannot rely solely on trial and error methods and field observations used by small-scale farmers： cost-effective soil fertility survey methods are needed. This study aimed to test the applicability of infrared spectroscopy （IR） as a diagnostic screening tool for making soil fertility recommendations in small-scale production systems. Soil fertility survey of 150 small-scale groundnut farms in western Kenya was conducted using a spatially stratified random sampling strategy. Soil properties examined were pH in water （pHw）, total carbon （C）, total nitrogen （N）, extractable phosphorus （P）, exchangeable potassium （K）, calcium （Ca）, magnesium （Mg） and texture. These properties were calibrated to mid-infrared （MIR） diffuse reflectance using partial least square regression （PLSR）. Cross-validated coefficient of determination （r2） values obtained from calibration models were 〉 0.80 for all properties, except P and K with 0.66 and 0.50 respectively. Soil nutritional deficiencies were evaluated using critical nutrient limits based on IR predictions and composite soil fertility indices （SFIs） developed from the soil properties using principal component analysis. The SFIs were calibrated to MIR soil spectral reflectance with cross-validated r： values 〉 0.80. The survey showed that 56% of the groundnut farms had severe soil nutrient constraints for production, especially exchangeable Ca, available P and organic matter. IR can provide a robust tool for farm soil fertility assessment and recommendation systems when backed up by conventional reference analyses. However, further work is required to test direct calibration of crop responses to spectral indicators and to improve prediction of extractable P and K tests.

Simulation of Multi-source Electric Production and Energy Transfers in Sailing

The exclusive use of renewable energies is today an essential nautical concern. Nowadays, the onboard energy generation comes mainly from diesel oil, which is in user mind the simplest way. Our objective is to develop a self-adaptive management system of the onboard energy in order to change the user mind. We introduce models for energy production, storage and consumption that fit with the yachting environment, which is mobile and not as predictable as the home automation case. These models are combined within a configurable simulator. This simulator can handle user＇s boat equipment, reproduce sailing conditions and so help to validate the models and to study different management strategies. This first step is necessary to develop a smart system able to manage sailing energy in order to answer the main issue： assuring safety and optimizing comfort according to user demands.

Living （on） Archaeological Sites in Turkey： Engagement of Local Communities into Decision Making Process

Archeological sites have been considered as ＂dead＂ sites consisted from building remain buried into ground in modern heritage management doctrines for a long period. Thus their conservation policies are mainly shaped according to this Western perspective. After the spread of international doctrines in conservation of cultural heritage to other parts of the world, it was realized that some archaeological sites were more than group building remains. They were pilgrim sites for the local communities continuously for centuries onwards. Even in some cases, they have traditional management systems to take care for the site. This has raised the awareness about the gaps in modern heritage conservation approaches. International organizations have mentioned about the involvement of local groups in heritage management systems considering their traditional and cultural association with the cultural site. This has provided shifting of conservation approaches from conventional approaches towards living heritage approach in such delicate cultural heritage sites. The purpose of this paper is to discuss the historic generation of policies towards local communities living on archaeological sites in Turkey comparing the policies between living （on） archaeological sites and living archaeological sites approach.

Maize （Zea mays L.） Growth and Grain Yield under Conventional and Site-Specific Nitrogen Management in a Dryland Farming System

Large amount of pre-plant nitrogen （N） fertilizer results in low N use efficiency due to poor synchrony between soil N supply and maize N demand, especially during N sensitive growth stages. The objectives of the study were to compare growth and yield of maize （Zea rnays L.） under conventional and site-specific N management in a dryland farming system. The study, which was designed as randomized complete block design was conducted over three site-years under continuous maize cropping system in the semi-arid regions of the Limpopo Province in South Africa. Treatments of the study consisted of three N management strategies on a maize field planted to drought resistant SNK 2147 hybrid maize cultivar. Treatments were： （i） no N application （NO）, （ii） site-specific N at variable rates ranging between 18 kg N/ha and 33 kg N/ha based on soil analysis results （N l） and （iii） conventional and uniform N application broadcasted during planting at 58 kg N/ha （N2）. Sufficiency index as indication of N deficiency was determined using CCM-200 on maize leaves based on leaf numbers during maize vegetative growth stages V6, V10 and Vl4, and thereafter N was applied only when needed. The highest maize grain yield of 5.2 Mg/ha for N 1 was significantly higher （P 〈 0.05） than 3.2 Mg/ha and 4.0 Mg/ha of N0 and N2 in site-year I, respectively. Maize grain yield of 2.2 Mg/ha （Nl） at site-year ll was significantly higher （P _〈 0.05） than 1.7 Mg/ha of the NO. The maize growth and yield under N2 and N1 was compared, N1 required between 43% and 69% lesser N fertilizer as compared to N2 over site-years, and resulted in higher maize height, number of leaves per plant, leaf length, and leaf area than that of conventional N management strategy. Therefore, site-specific N management strategy sustains and improves growth and yield of maize using minimal N fertilizer as compared to conventional approach in low fertility soils of semi-arid regions in dryland farming systems. In examining the results of this study, there was a consistent benefit of site-specific N management strategy on improving growth and yield of maize while saving fertilizer use in small-scale dryland maize farming system.

ABB强力推进“东移战略”

消费日报2010-10-13报导:9月14日在上海举行的"制浆造纸自动化技术研讨会"上,ABB(中国)