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Value-stream mapping has supporting methods that are often used in lean environments to analyze and design flows at the system level (across multiple processes).. Although value-stream mapping is often associated with manufacturing, it is also used in logistics, supply chain, service related industries, healthcare, [5] [6] software development, [7] [8] product development, [9] project ...
Value-stream-mapping software is a type of software that helps prepare and/or analyze value stream maps. The software typically helps design maps through utilizing a series of symbols representing activity and information/material flow, and as a supplement to manual calculations [ 1 ]
Workload automation software, which helps IT organizations optimize real-time performance of complex business workloads across diverse IT infrastructures, and other application dependency mapping tools can be an additional help in value stream mapping. [16]
A value stream depicts the stakeholders initiating and involved in the value stream, the stages that create specific value items, and the value proposition derived from the value stream. The value stream is depicted as an end-to-end collection of value-adding activities that create an overall result for a customer, stakeholder, or end-user.
These include: detailed flow-charts, work flow diagrams and value stream maps. Each map is helpful depending on the process questions and theories being considered. In these situations process map implies the use of process flow and the current understanding of the causal structure.
A look at how different mapping techniques reveal different voting patterns 11/5 2013 Election Results Live returns with real-time historical and demographic scatterplots
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Quality filter mapping is part of the value stream mapping [1] toolkit and is used to analyse processes/functions with respect to quality. The results of a quality filter map shows how much waste is being generated within an organisation at each stage of the process. Three types of quality [2] are measured as part of the model:
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