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'''[[Process]] improvement''' task of identifying, analyzing and improving business processes. ...le, methods, tools, etc.), implementing improvements in selected processes and measuring effects, deploying improvements thorough the [[company]]<ref> See

...on of a similarity measure and belong to the unsupervised machine learning methods<ref>Everitt, Landau, Leese, Stahl, 2011, pp. 2-8.</ref>. A cluster should be maximally homogeneous within itself and clearly distinguishable from other clusters. A clear demarcation must be en

...es of the organization]]. Data collection also involves analyzing the data and interpreting the results to draw valuable business insights. ...the effectiveness of programs and services, identify areas of improvement, and inform decisions. Some of the most common applications of data collection p

...e integration of cyber-physical systems, the [[Internet]] of Things (IoT), and the cloud, to optimize the performance of industrial processes. ...real-time data from products and processes, which can be used to identify and correct quality issues.

...commonly used in industries such as aerospace, manufacturing, oil and gas, and power generation. ==Non destructive testing methods==

...] diagrams, [[work]]-flow diagrams, [[Fish diagram|Ishikawa diagram]]) and methods of [[project management]] (schedules, teams, network diagrams, budgeting, [ '''Organizational techniques''' generally allow for improvement of all work processes. They can be divid

...ments]], taking into account all its stages: [[planning]], implementation, and monitoring of results. It provides [[information]] used in the decision-mak ...uation of [[action]] in relation to the objectives, national or community) and operational aspects (monitoring of project activities).

...ple methods for data collection, such as surveys, interviews, focus groups and observation, to reduce the potential for bias. ...types, including self-reporting bias, response bias, [[interviewer bias]], and observational bias.

...in stages of the study coincide with the cycle of the basic organizational methods. ==Purpose of administrative and office work study==

...nd using dropout layers. Additionally, splitting the dataset into training and validation sets can help to identify if the model is overfitting. Regularization Techniques

...ly is performed for a payment. It can be consider in two ways: qualitative and quantitative. Also work is defined as a whole of actions and functions performed by specific [[employee]] or employees group on their jo

...tial losses resulting from a risk event such as legal costs, repair costs, and lost revenue. ...ver potential losses, as well as [[training]] staff on [[risk management]] techniques.

...e that resources are allocated efficiently and tasks are completed on time and within budget. ...This method is especially useful for projects that have a limited timeline and/or budget, as it allows managers to quickly identify areas where tasks can

...teamwork]] in the [[work]] [[process]] needed to accomplish specific tasks and goals. ...group of people. These are also activities that are carried out in teams, and they have been commissioned individually for each of them.

...f a large group of people and is particularly useful when examining trends and patterns. ...lyzing the data using [[descriptive statistics]] and correlation analysis, and drawing conclusions based on the results.

...s]] for reinforcing [[product]] value by improving the link beetween worth and [[cost]] through the study of function <ref> Fallon F. (1980). ''Value Anal ..., and problem solving<ref> Miles D. (2015). ''Techniques of Value Analysis and Engineering'', Miles Value Foundation, p. 2 </ref>.

...l population for a statistical sample, in which all elements have the same and known probability of being selected<ref> Heavey E., (2011), ''Statistics fo ...s its own advantages and disadvantages. Some people try to combine the two methods together <ref>Daniel J.,(2012), ''Sampling Essentials: Practical Guidelines

...in insights into their team’s performance, identify areas for improvement, and develop strategies to optimize processes. ==Example of analysis and interpretation==

...[corrective actions]], and the development of strategies for future growth and success. ...company]] should do to achieve its goals. It involves monitoring, analysis and [[evaluation]] processes to direct company's course in the right direction.

...sense of accomplishment, which can in turn lead to greater [[motivation]] and the ability to make even more significant changes. The acceleration princip ...ty of settings, including personal development, [[organizational change]], and business operations. Some examples of when it may be useful to use the acce