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In statistical quality control, the ¯ and s chart is a type of control chart used to monitor variables data when samples are collected at regular intervals from a business or industrial process. [1] This is connected to traditional statistical quality control (SQC) and statistical process control (SPC).
Similar to the burndown chart, the burnup chart shows time on the horizontal axis and work completed on the vertical axis. The main difference is that the burnup chart starts on the bottom and rises as tasks are completed (opposite to the burndown chart). Another difference is that burnup charts usually have a line representing total work. [5]
PERT network chart for a seven-month project with five milestones (10 through 50) and six activities (A through F).. The program evaluation and review technique (PERT) is a statistical tool used in project management, which was designed to analyze and represent the tasks involved in completing a given project.
Control charts are graphical plots used in production control to determine whether quality and manufacturing processes are being controlled under stable conditions. (ISO 7870-1) [1] The hourly status is arranged on the graph, and the occurrence of abnormalities is judged based on the presence of data that differs from the conventional trend or deviates from the control limit line.
A Gantt chart is a type of bar chart, that illustrates a project schedule. Design structure matrix is a simple, compact and visual representation of a system or project in the form of a matrix. It is the equivalent of an adjacency matrix in graph theory, and is used in project management to model the structure of complex systems or processes ...
Bolza surface (genus 2) Klein quartic (genus 3) Bring's curve (genus 4) Macbeath surface (genus 7) Butterfly curve (algebraic) (genus 7) Curve families with variable ...
The precedence diagram method (PDM) is a tool for scheduling activities in a project plan. It is a method of constructing a project schedule network diagram that uses boxes, referred to as nodes, to represent activities and connects them with arrows that show the dependencies. It is also called the activity-on-node (AON) method.
Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...