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  2. Pick chart - Wikipedia

    en.wikipedia.org/wiki/Pick_chart

    There are four categories on a 2*2 matrix; horizontal is scale of payoff (or benefits), vertical is ease of implementation. By deciding where an idea falls on the pick chart four proposed project actions are provided; Possible, Implement, Challenge and Kill (thus the name PICK). Low Payoff, easy to do - Possible High Payoff, easy to do - Implement

  3. Partial least squares regression - Wikipedia

    en.wikipedia.org/wiki/Partial_least_squares...

    Partial least squares (PLS) regression is a statistical method that bears some relation to principal components regression and is a reduced rank regression; [1] instead of finding hyperplanes of maximum variance between the response and independent variables, it finds a linear regression model by projecting the predicted variables and the observable variables to a new space of maximum ...

  4. Lean Launchpad - Wikipedia

    en.wikipedia.org/wiki/Lean_Launchpad

    Lean LaunchPad is an entrepreneurship methodology created by Steve Blank to test and develop business models based on querying and learning from customers. It is said to be based on the scientific method and combines experiential learning with “The three building blocks of a successful lean startup”: Alexander Osterwalder's "Business Model Canvas", Steve Blank's "Customer Development Model ...

  5. A3 problem solving - Wikipedia

    en.wikipedia.org/wiki/A3_Problem_Solving

    A3 problem solving is a structured problem-solving and continuous-improvement approach, first employed at Toyota and typically used by lean manufacturing practitioners. [1] It provides a simple and strict procedure that guides problem solving by workers. The approach typically uses a single sheet of ISO A3-size paper, which is the source of its ...

  6. Numerical methods for linear least squares - Wikipedia

    en.wikipedia.org/wiki/Numerical_methods_for...

    Fitting of linear models by least squares often, but not always, arise in the context of statistical analysis. It can therefore be important that considerations of computation efficiency for such problems extend to all of the auxiliary quantities required for such analyses, and are not restricted to the formal solution of the linear least ...

  7. Non-linear least squares - Wikipedia

    en.wikipedia.org/wiki/Non-linear_least_squares

    Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n). It is used in some forms of nonlinear regression. The basis of the method is to approximate the model by a linear one and to refine the parameters by successive iterations.

  8. Overall labor effectiveness - Wikipedia

    en.wikipedia.org/wiki/Overall_Labor_Effectiveness

    Effective use of OLE uncovers the data that fuels root-cause analysis and points to corrective actions. Likewise, OLE exposes trends that can be used to diagnose more subtle problems. It also helps managers understand whether corrective actions did, in fact, solve problems and improve overall productivity. Example:

  9. Value-stream mapping - Wikipedia

    en.wikipedia.org/wiki/Value-stream_mapping

    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 ...

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