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Flashcards for main terminology and processes associated with the Lean and Six Sigma processes.
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1. Understand Customer and Business Requirements
2. Complete Project Charter
3. Complete high-level as-is process map
Project Statement, Goal Statement, Project Team, Project Scope, Milestones
"What" is occurring, "When" and "where" is the problem occurring, What is the "magnitude" of the problem, What are the "consequences" of the problem
Define the improvement objective in terms of the problem statement, Follows SMART goal setting, Start with a verb (increase, improve, eliminate, reduce, etc.), Time bound (when will improvement be realized by?)
Specific, Measurable, Attainable, Relevant, Timebound
Helps the team define and understand the start and end of a project, Provides insights about the project dimensions and constraints.
Refer to the timeline of completion of each phase of the DMAIC process, Should be aggressive enough to maintain momentum but still realistic, Documented on a preliminary high-level project plan WITH DATES.
Defines the boundaries of a process, Provides a structured way to discuss the process, Helps obtain stakeholder consensus on how the process operates today
Customers, Outputs, Process, Inputs, Suppliers.
Terminal Activity
The first or final step in a process that signifies completion or beginning of a workflow.
Activity
A specific task or action performed within a process.
Delay
Identifies when the process has come to a temporary halt, or what has to happen before a process resumes
Database
Shows a [name] is associated with this step
Document
Indicates a written [name] is prepared or used at this step
Predefined Process
A process that is established and documented in advance, providing a standard procedure to follow during specific operations.
Storage
Indicates when something is saved, what is saved, and for how long.
Decision
Displays a question with several answers/options that lead away, i.e. “yes” and “no.”
Over production
Producing more than is needed or before it is needed, leading to excess inventory and potential waste.
Waiting
The time when work is delayed or idle due to waiting for materials, information, or equipment (i.e., overfull inboxes,
Non-utilized skills
the skills and capabilities of employees that are not being effectively used in their roles.
Transfer (transportation)
Waste from moving things around or work transferring across platforms or teams. Found by excessive back-and-forth, repeated follows, movement from location to location.
Inventory
Work stuck in email inboxes not being processed, idle financial or fixed assets. Found from bottlenecks leading to “staging” areas for work in progress
Motion
Inefficient placement of resources creating motion. Found from inefficient placement of office resources, physical distance between workstations.
Excess processing
Additional processing of transactions. Found from similar info being captured in several places, large variations in time to do similar tasks, unnecessary approvals.
DOWNTIME
Defects, Overproduction, Waiting, Nonutilized skills, Transportation, Inventory, Motion, Excess processing
Discrete Data (attribute data)
Information that can be categorized into a classification, is based on counts, and is finite (cannot be subdivided) (example: number of accidents, number of calls)
Continuous Data
Data that can be continuously bifurcated (subdivided) into smaller and smaller fractions. Measured on a scale or continuum (example: call length, temperature, etc.)
Sampling
Process of collecting data from a portion of a population and using the results to draw conclusions about the whole population.
Simple Random Sampling
The process of choosing random samples from the whole population in which every unit has an equal chance of being selected.
Stratified Random Sampling
The process of organizing a population into groups or subsets and choosing random samples from each of the groups.
Systematic Sampling
Samples chosen by a pre-defined system. Example: auditing every 4th car produced at a car factory.
The three most important factors of data sampling strategy
Who will collect the data, how often (when) will it be collected, and how will it be collected.
P-Value
The result of any statistical analysis performed on Minitab