82 results about "Continual improvement process" patented technology

Systems and methods for the continuous improvement of performance. The present systems and methods provide the art with a mechanism for the continuous assessment of the performance of users. By measuring professional performance against benchmarks, standards, and goals, the present invention allows the art to assess continuously and in real time any gaps or deficiencies in performance of the user. The present invention also preferably provides users with performance improvement pathways that are targeted to address the deficiencies and shortcomings of each individual user. The present invention further provides a mechanism by which users may routinely evaluate their own performance and compare it against industry standards and peer groups. Through the present invention, users may also track activities related to their certification, licensure, or credentials and tie those to particular performance improvement pathways. The present invention is particularly useful within medical, legal, engineering, law enforcement, and public safety sectors.

A system, method and computer program product for requirements management. Particularly, a requirements management scheme performs at least the following functions: 1) it guides a team through the requirements process and provides a structure for collecting “requests”. By using the scheme, team members are prompted to think about and record relevant information that will help clarify and complete requests; and, 2) the scheme allows users to use the attributes throughout the development process to identify risk and make improvements to their process. Many of these attributes can be refined during the development phase or even later. Besides helping team members achieve continuous improvement in their requirements process by providing a set of data and metrics for collection and assessment, the scheme enables an organization to effectively manage their requirements as well as manage changes to those requirements.

An activity management system, and a method of using thereof, is described for a service process in semiconductor manufacturing. The activity management system includes a data collection system configured to receive service activity data associated with at least one service component and a service operator, and relate the service activity data with at least one service account. Additionally, the activity management system includes a data storage system coupled to the data collection system and configured to store the service activity data. Furthermore, the activity management system includes a service action system coupled to the data collection system and the data storage system, and configured to perform at least one service function including service component repair, service component start-up, service component preventive maintenance, service component cleaning, service component revision (e.g., a field change notice), a service component enhancement (e.g., a continuous improvement notice), service component de-installation, a customer action plan, a project action plan, and service education.

The invention discloses a personalized deep learning method for fog computing environment. A cloud node trains a general model through mass training data, the general model obtained by training is distributed to each fog computing node, the computation and storage ability of the fog computing node is used for training a deep leaning model which meets edge side industry requirements; data is collected from intelligent sensing equipment, and real-time reasoning is carried out on the fog computing node to output a result in real time; and errors which appear in reasoning are identified, the modelcan be continuously trained and optimized, the industrial personalized model can be selectively transmitted into the cloud, and meanwhile, the general model of the cloud is received and continuouslyimproved and optimized. Compared with the prior art, the method disclosed by the invention improves real-time business execution efficiency, meanwhile, the personalized deep learning method is storedin the fog computing node to guarantee the safety of the model, in addition, the model can be shared to the cloud according to the permission of the user, and therefore, the model exhibits openness.

Systems, apparatus and methods are provided. An example method includes gathering healthcare data and analyzing care paths currently in use by a healthcare organization, the analyzing including analyzing patterns and variances with respect to the care paths; defining one or more evidence-based clinical pathways based on the gathered healthcare data and analyzed care paths in conjunction with practitioner review and supporting metrics; facilitating implementation of the defined one or more evidence-based clinical pathways using computerized orders, computer-facilitated workflows and clinical dashboards; tracking usage of the one or more evidence-based clinical pathways and providing reminders to users to encourage compliance; monitoring deviations from the one or more evidence-based clinical pathways; accepting feedback from at least one of patients and practitioners; and analyzing deviations and feedback with respect to the one or more evidence-based clinical pathways to determine modification of the one or more evidence-based clinical pathways.

The invention relates to a data processing method for clinical pathway quality evaluation. The data processing method comprises the steps of collecting and classifying clinical pathway quality evaluation index data of each hospital, combining similar terms of clinical pathway quality evaluation index data with same substances to acquire simplified quality evaluation index data, calculating the weight of the simplified quality evaluation index data by virtue of a gray relational degree analysis method, setting a grading value of the weighted quality evaluation index data, and calculating a combined score according to the grading value and the weight for the clinical pathway quality evaluation. The data processing method is suitable for sanitary administrative organs to evaluate the hospitals implementing clinical pathway management and execute emphasis management on later-ranked hospitals and weak links. The data processing method is also suitable for the hospitals to make transverse comparison on multiple disease entities in the clinical pathway management of each department, and the disease entities with relatively poor quality and the weak links of the disease entities can be rapidly identified and subjected to priority intervention, so that the management efficiency is improved, and the clinical pathway management quality is continuously improved.

An equipment management system includes a display and a processor. The processor may be configured to provide a first interface associated with an equipment planning and scheduling module, a second interface associated with a backlog management module, a third interface associated with a parts management module, and a fourth interface associated with a continuous improvement module. Further, the processor may be configured to receive data associated with the backlog management module via the second interface, data associated with the parts management module via the third interface, and data associated with the continuous improvement module via the fourth interface, supply at least some of the received data to the equipment planning and scheduling module, and output, to the display, at least a portion of an equipment management plan via the first interface, the equipment management plan being based on the data supplied to the equipment planning and scheduling module and based on at least one algorithm of the planning and scheduling module.

An activity management system, and a method of using thereof, is described for a service process in semiconductor manufacturing. The activity management system includes a data collection system configured to receive service activity data associated with at least one service component and a service operator, and relate the service activity data with at least one service account. Additionally, the activity management system includes a data storage system coupled to the data collection system and configured to store the service activity data. Furthermore, the activity management system includes a service action system coupled to the data collection system and the data storage system, and configured to perform at least one service function including service component repair, service component start-up, service component preventive maintenance, service component cleaning, service component revision (e.g., a field change notice), a service component enhancement (e.g., a continuous improvement notice), service component de-installation, a customer action plan, a project action plan, and service education.

The invention relates to a management system constructing system and a management system constructing method. The system comprises a management system file and a cooperative working constructing system, wherein the management system file is divided into a plurality of file units, and the cooperative working constructing system comprises an organizational structure and a plurality of cooperative working flow instances which comprise an activity and participants. When a management system is constructed, the system file is divided into file units, and then the judgment that whether the file units are relevant to the cooperative working constructing system is carried out, and a corresponding binding relationship is established. The management system constructing method comprises the steps of establishing the layered structure of the system file and storing the structure in a storage device. The invention is convenient for the information management of the system file, can constantly improve the system and generate system files, and can give guidance to the participants when the system files are implemented.

The invention relates to a nursing quality control management system. The system comprises 10 function modules, namely, a medical nursing safety and adverse event report module, a nursing scheduling module, a head nurse on-duty record module, a nursing consultation sheet module, a critical case report module, a quality management standard setting module, a quality management module, a tracking and querying module, a satisfaction survey module, and a department continuous improvement opinion module. All the modules can perform the following operations: information querying, adding, modifying, deleting, exporting, and printing. The advantages lie in that the hospital informatization development platform is fully utilized to further implement the long-term mechanism of nursing quality management according to nursing quality control inspection lines of all special items and at all levels so as to realize scientific and integrated management of quality inspection, supervision, analysis and continuous improvement; and standardized, transparent and timely nursing quality control is realized, hospital nursing information sharing is enhanced, the communication cost is reduced, the staff labor is reduced, and the efficiency of nursing quality control work is improved effectively.

The invention provides a task scheduling method based on tokens, and belongs to the field of automation control. A task scheduling device comprises a global token coordinator and at least one controller connected with the global token coordinator. The method includes the steps: acquiring control system resources by the aid of the global token coordinator to determine the number of usable tokens; receiving token requests transmitted by the current controllers, and transmitting token replying instructions to the current controllers according to the number of usable tokens and the sequence of the controller stored in a token wait transmitting list; executing subsequent steps according to the token replying instructions. According to the method, the number of usable tokens is adjusted by the global token coordinator according to the system resources in real time, long-time high load of a system caused by a preserver due to operations of a plurality of controllers is avoided, the stability of the control system is improved, optimization effects of the device can be continually improved, system resources of the preserver are effectively utilized, waste of the system resources caused by limitation of the number of the controllers is prevented.

A method of performing a software development process that includes performing a release execution process that analyzes a software code and stores relevant information associated with the software code. Also, the method includes executing a continuous improvement process that is executing on a computer platform. The continuous improvement process receives the relevant information and computes a plurality of relevant scores to measure the likelihood of success of a software development project. Furthermore, the method includes performing a product planning process that utilizes the relevant scores to assess the viability of the software development project.

The invention relates to a real-time fluctuation concrete-quality management and control system and method, and belongs to the technical field of engineering construction. Through the adoption of the real-time fluctuation concrete-quality management and control system and method provided by the invention, the real-time monitoring of concrete quality is realized, various data during monitoring is acquired in real time, and the feedback of the data is sent out in time so as to achieve the purposes of management and control, and the improvement of the management level of concrete engineering construction; effective quality precontrol is performed on cement concrete before production use, the mix proportion which does not satisfy construction requirements and quality control standard requirements is not allowed to be used for mixing; feedback information is accurately acquired in events in time, and the processes of production and construction are managed in real time; the data of the overall process is combined and analyzed after the events, and the analysis of the data is favorable to continuous improvement and enhancement; requirements for overall quality management are really met, and cheating on workmanship and materials is effectively avoided, so that the engineering quality is guaranteed, and huge social and economic benefits are achieved.

A method and system to generate the highest level of return on investment of a cattle ranch producing beef to the consumer. Through the use of computer software integrated with an individual cow and calf identification system, the method and system disclosed herein allows a cattle producer to analyze the yearly production characteristics of each individual cow's calf or calves through all the various phases of growth and production with an accumulation of the economic cost and gain of value up to the end product as a feeder or cull.The total value of the carcass at the end of production, expressed as a sum of the costs associated with producing each animal minus the market value of the animal, allows the animal's economic value to be expressed by one figure which can then be used to judge the cow's ability to produce animals that meet all predetermined economically important genetic traits. This system and method of cow herd management provides a continuing improvement in the efficiency of the ranching operation and a better product for the consumers.

The invention relates to a risk-based oil refining device corrosion management control method. The objective of the invention is mainly to solve the problems of unscientific and unreasonable anti-corrosion resource allocation and lack of control on corrosion intermediate process and difficult continuous improvement. The risk-based oil refining device corrosion management control method of the invention comprises the following steps that: (1) corrosion loop division is performed on a device, and corresponding mathematical models are established according to respective corrosion mechanisms, and corrosion risk assessment is performed; (2) according to the results of the corrosion risk assessment, reasonable material anticorrosion, process anticorrosion and corrosion monitoring detection measures are taken; (3) the control on the corrosion intermediate process is strengthened through relevant theoretical model calculation; (4) on the basis of the results of the corrosion risk assessment, reasonable repair schemes are formulated; and (5) results are fed back to the process of the corrosion risk assessment, and the PDCA cycle of a whole corrosion management control scheme is established. With the above technical schemes adopted, the above problems can be effectively solved. The risk-based oil refining device corrosion management control method can be applicable to oil refining device management corrosion management control.

The invention discloses a user-side drinking water monitoring system and a monitoring service method. The system includes a collection and monitoring module and an application system module which are used for collecting, processing and distributing drinking water information, providing early warning and providing services. Through online monitoring of the quantification cycle of drinking water services, early warning notification, service arrangement and evaluation processing and the like, the service method realizes the notification of the drinking water service operation management in advance to provide drinking water users with active services, allows the drinking water users to have a real-time understanding of the conditions of the drinking water service monitoring, early warning, service pre-arranged planning, actual services and the like and to conduct reasonable service evaluation and trace historical service information according to service standards learned about in real time, and at the same time allows the drinking water service operation management to have a real-time understanding of the working quality and efficiency of drinking water service personnel and to reasonably control and reward and punish the service personnel to continuously improve the service work, so that the normal operation of water purification systems of the users is fully and continuously guaranteed, and the safe and healthy drinking is ensured.

The invention provides a scheduling method for a branch line scheduling scene of a distribution network, belonging to the scheduling field, comprising the steps of obtaining operation ticket information by means of a data interface; After obtaining the operation ticket information, assigning the tasks to be executed to the virtual dispatching robot, so that the virtual robot completes the execution flow of the tasks to be executed in the mode of program-controlled telephone system docking; The manual intervention mode is executed during the execution of the tasks of the virtual robot. By usingthe scheduling method, the manpower released can carry out more valuable business work and improve the energy efficiency of the distribution network scheduling work by replacing part of the manual repetitive labor. In addition to reduce manual scheduling seat operation errors to achieve error-free operation the virtual scheduling robot can continue to obtain more basic data and operation logs through the integration with the business system learning and continuous improvement. This sustainability is long-term, can be people cannot afford the super-intensity work, reduce man-made due to humaninternal and external causes of scheduling misoperation.

Disclosed is an iterative method, system, and user interface for analysis, pattern detection, and predictive modeling of quality, health, safety, and environmental (QHSE) from multiple, disparate sources. This iterative method, system, and user interface makes use of user generated qualitative and quantitative data from multiple quality, health, safety, and environmental sources. Sources include; monitoring systems, witness accounts, benchmarks, and other measurement apparatuses from single or multiple geographic locations. Data is acquired, categorized, aggregated, formatted, and isolated through pre-analysis algorithms. The isolated data of significance is then analyzed through an iterative methodology of user selected algorithms. The results go through a series of post-analysis testing to determine the effectiveness of the analysis. Once the post-analysis testing is completed, it is entered into a continuous improvement matrix to determine methodologies and solutions to improve upon existing QHSE processes. These results are processed through integrated or stand-alone computer modules and output to a user interface. The user interface provides the user options for selecting, isolating, and formatting combinations of algorithms and data analysis techniques to detect underlying patterns and predictive models in current QHSE processes and to provide innovative, dynamic, and predictive continuous improvement models for improving QHSE processes.

The present invention solves the problems with the prior-art environmentally friendly design. That is, in order to achieve continual improvement, it is necessary to make a detailed evaluation based on the parts configuration. If a method of setting a basic unit for each individual part is used, a large number of process steps are required, and it is impossible to conduct accurate life cycle assessments (LCAs) frequently. The present invention provides an environmental impact assessment support and design support system incorporating a database in which information about the basic unit is associated with information about product classifications, parts classifications, and materials classifications. The system manages the information about the parts configuration and the basic unit while associating their histories of creation with each other.

The invention relates to information safety, data mining and data auditing, and aims to provide a character terminal feature data extraction method based on behavioral analysis. According to the method, data produced in the interaction process of a client of a user and a host are obtained through network monitoring, the data are analyzed through terminal simulation, the interaction process between the client and the host is restored, and needed content is further extracted according to behavioral rules of man-machine direct interaction in the use process of the client. The method well solves the problem that when data streams of network character terminal equipment are analyzed by means of an automated tool, precision, efficiency and adaptability cannot be achieved at the same time, provides a flexible logic system capable of being improved continuously, and has wide application space.

Systems and methods for generating and managing business process integration solutions include modeling a business strategy, including elements representing business metrics and initiatives, in terms of defined business goals and objectives of an entity; and business process elements of the artifact repository, and business commitment elements including consolidated key performance indicators, to model the business operations of the entity; map elements of the strategy model with the artifact and process elements of the operations model; measure business performance and compare performance metrics and the key performance indicators. The business strategy and operating model process elements are continually improved during the solution development cycle as a result of process measurements and comparisons. A business-grade modeling language is also implemented to formally represent business operations.

The present invention discloses a data difference-driven self-learning dynamic batch process optimization method including the following steps: collect production process data off line; eliminate singular batches through PCA operation; construct time interval and index variance matrices to carry out PLS operation to generate initial optimization strategies; collect data of new batches; run a recursive algorithm; and update the optimization strategy. The present invention utilizes a perturbation method to establish initial optimization strategies for an optimized variable setting curve. On this basis, self-learning iterative updating is carried out for mean values and standard differences on the basis of differences in data statistics, so that the continuous improvement of optimized indexes is realized, and thereby a new method is provided for batch process optimization strategies for solving actual industrial problems. The present invention is fully based on operational data of a production process, and does not need priori knowledge about a process mechanism and a mechanism model. The present invention is applicable to the dynamic optimization of operation trajectories of batch reactors, batch rectifying towers, batch drying, batch fermentation, batch crystallization and other processes and systems adopting batch operation.

The invention discloses a method and a system for realizing the balanced production of a whole-automobile general assembly shop. The method comprises: (1) a preprocessing step, (2) a classification monitoring and acquisition step, (3) an alarming step and (4) a disturbance factor processing step. The system comprises a shop information interactive terminal (1), a station information acquisition unit (2), an information display terminal (3) and a disturbance processing unit (4). The method and the system are suitable for the automobile general assembly shop using mixed-line production, and can fast and effectively process various disturbance factors during the production of the automobile general assembly shop, improve the capacity of fast recovering the balanced production of a production system of the automobile general assembly shop after a plurality of disturbance factors occur, and find out weak links during the production of the automobile general assembly shop by statistical analysis on the occurring disturbance factors of the automobile general assembly shop and the methods for processing the disturbance factors to provide bases for the continuous improvement of the automobile general assembly shop.

The invention discloses a command system for flood control and drought relief. The command system for flood control and drought relief comprises an acquisition system, a network communication system, a data processing platform and an application layer system, wherein the acquisition system is used for acquiring water conservancy information data of a preset monitored area and connected with the data processing platform through the network communication system, and the application layer system is arranged on the data processing platform and used for processing the water conservancy information data of the preset monitored area. According to the command system for flood control and drought relief, a water conservancy center serves as the core, a water conservancy informatization comprehensive system is constructed, and the efficiency and efficacy of the flood control and drought relief service are improved compressively; a flood control and drought relief project system which can be improved sustainably is formed by designing and obtaining various functional components and defining relevant protocols and interfaces, resource sharing is achieved, the frequency of repeated development is reduced, and various resources related to the service application are integrated into four unified layers which are the acquisition layer, the network layer, the platform layer and the application layer.

A method of continuously improving an online course taught by an educational institution over a computer generated medium to a plurality of locations is disclosed. A minimum criteria is established and used to determine the quality of the online course taught through the computer generated medium. The online course sessions are monitored from a remote location through the computer generated medium at predetermined periodic intervals. Electronic reports are generated at the remote location and are provided to the educational institution during the online course via the electronic medium enabling the educational institution to make real time adjustments to the online course before the online course ends for improving the quality of the online course.

The invention provides a distributed network protocol security detection method for a smart power grid. The method is that the distributed network protocol of the smart power grid is expressed by a state migration system composed of a timed automation machine; the conditions to be met by the distributed network protocol security of the smart power grid are expressed through a temporal logic formula; the distributed network protocol security is detected on the premise that no attacker appears; after introducing the attacker, the distributed network protocol safety is detected again. The method specifically comprises the steps of 1) building the state migration system based on the timed automation machine for the distributed network protocol, and detecting; 2) building an attacker model and detecting the distributed network protocol security; 3) building a detector model, improving the distributed network protocol security, and then detecting. With the adoption of the method, any security problem can be detected through the detector model, thus a user can continuously improve the protocol, and as a result, the security of the distributed network protocol of the smart power grid can be effectively improved.

The invention discloses a method and a system for duration performance testing, which are used for a performance optimization stage of a computer software product, and for continuously monitoring and continuously improving the performance of the software product, wherein the method for the duration performance testing comprises the steps of submitting a response product, constructing an operating environment, executing and recording performance data, selecting preferred performance, reporting the performance data to a user, and manually setting the performance data. Therefore, the performance testing automation in a software product testing process is achieved, and the problem that the performance of the software product is difficult to evaluate is solved.

The present invention provides a teaching management system for a talent training index system. The system is characterized in that: based on the Internet and the cloud computing technology, by integrating educational resources, a unified, open and shared school service platform is built, and a result-oriented education concept is carried out; courses are designed according to reverse design principles, and a curriculum system is built with the final learning achievement as both the starting point and the end point; the OBE teaching mode changes from the traditional curriculum orientation to the output orientation, from the teacher-centered form to the student-centered form, and from the quality control to the continuous improvement, so that development of the talent training program is subverted; accurate academic status presentation is brought to the school by using big data analysis, and the academic status presentation can be imported into the teaching platform through the achievement of the school; and generation of the talent development program of the predetermined index system can provide the basis for administrative decision-making, the campus time and spatial dimensions can be expanded, and the teaching efficiency can be improved, and comprehensive teaching-centered informatization can be realized.