The enterprise has passed the CMMI 5 certification, which proves that it can not only manage the project through informationization and digitalization, but also make full use of this information to prevent possible problems in the project implementation process. In addition, we can actively improve and optimize the process by using new technologies. CMMI is a multidisciplinary and extensible product set. The initial motivation of its development is to improve the integration process of the organization by using two or more models of a single discipline.
CMMI is a model that combines three source models: software capability maturity model, system engineering capability model and integrated product development capability maturity model.
High maturity CMMI process improvement provides an effective framework and method.
When we continue to learn more about CMMI, we find that CMMI is related to six horses. In the process improvement of high-maturity software in CMMI, a large number of statistical process control technologies and improvement methods will be involved. For example, process performance baseline, process performance model and root cause analysis of abnormal points are established through the historical data of the organization.
Six Sigma: A management strategy that emphasizes planning extremely high-quality objectives, collecting data and analyzing results, thus helping to reduce defects in products and services.
Implementation of Six Sigma: Statistical software tools, such as minitab, are generally used for data analysis.
Six Sigma's team organization structure: advocate, green belt, black belt and black belt master.
Advocacy: resolutely implement, from top to bottom. Responsibilities: Set the goal, direction and scope for the project; Coordinate the resources needed for the project; Deal with overlapping and disputes between project teams and strengthen communication between project teams.
Green belt: the main responsibilities are project management, quality management tools, quality control tools, problem solving methods and information data analysis. Usually part-time job.
Black belt: The main responsibility is the leader of the project team, leading the project team to implement process changes and being responsible for training the green belt. Generally, the person who holds this position needs to have a knowledge base in college mathematics and quantitative analysis, and have rich working experience.
Black belt master: proficient in statistical knowledge and responsible for technical guidance.
Improved DMAIC model: an important method to improve the management process of six sigma. DMAIC: A process improvement method consisting of five stages: definition, measurement, analysis, improvement and control, which is usually used to improve existing processes.
Implementation steps of DMAIC mode:
Define Phase: Define Phase. It is mainly to analyze customer demand, combine the organization's business objectives and measurement, transform customer demand into key quality indicators, and determine the key problems to be solved. Define the business flow chart, make a preliminary process analysis, connect the client to each process, explore the potential reasons, try to reorganize the enterprise process and get the confirmation and unification of the main responsible persons of each process.
Common methods and tools: focus group method, behavioral event interview, Plato, flow chart, Carnot factor analysis matrix, SIPOC method, etc.
Measurement stage: use FMEA and other tools to confirm that the measurable key quality index CTQ will be improved, and then determine the final capability level and upper and lower specification range (control limit) of these selected CTQ. Define and collect basic measurement data corresponding to these CTQ.
Common methods and tools: histogram, matrix data analysis, sampling technology, checklist and checklist method.
Analysis stage: the process performance baseline of key processes can be determined by basic statistics, sampling or graphic methods, the performance target of project improvement can be determined by benchmarking or statistical methods, and the statistically significant reasons and sources of variation can be listed by process analysis, graphic analysis, hypothesis testing and regression analysis.
Commonly used methods and tools: multivariate analysis, histogram, regression analysis, Plato, fishbone diagram, scatter diagram and control chart.
Improvement stage: the main activities are: to establish an improvement scheme, to confirm the key X that affects the change of Y value through experimental design, to seek the relationship between variables and to establish the allowable range of X.
Commonly used methods and tools: correlation analysis, regression analysis, experimental design, analysis of variance, etc.
Control stage: control the process of the implemented project, control the deviation of main variables within the allowable range, and ensure that the improved process performance target has been achieved. At the same time, the improved process is programmed to ensure the result of process improvement through effective monitoring means.
Common methods and tools: standardization, proceduralization, institutionalization, etc.