Fast Track

FT: Additional Reading Lab

Lummus, R, Vokurka, R. & Rodeghiero. (September 2006) Improving quality thought value stream mapping: a case study of a physician’s clinic. Total Quality Management and Business Excellence, 17(8): 1063-1075. DOI: 10.1080/14783360600748091.Retrieved from https://www.researchgate.net/publication/232900833_Improving_Quality_through_Value_Stream_Mapping_A_Case_Study_of_a_Physician’s_Clinic. Accessed April 2020.  Suggested Reading Henrique, DB., Rentes, AF, Filho, MG & Esposto, KF (2016). “A new value stream mapping approach for healthcare […]

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Fast Track Lecture: Value Stream Mapping: Lean Principles

In this module, we describe the philosophy, strategies, tools and principles of Lean. We identify how a structure of continuous improvement will support organizational growth by waste elimination. We also explain the importance of value stream mapping and illustrate how the process is instrumental for a successful improvement effort. We adopt the 14 Principles of

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Fast Track Lecture: Waste Identification and Elimination-VSM

VSM: Waste Elimination from Laboratory Learning Solutions on Vimeo. Once the current state VSM is complete with metrics we will begin to note defects, waste and inefficiency. This waste is usually buried in a non-value add process. Based on identification of defects, we note the opportunities in the form of a kaizen burst. A kaizen

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FT Introduction to Value Stream Mapping in the Laboratory. Why is this concept important?

VSM: Introduction from Laboratory Learning Solutions on Vimeo. Course Description Value Stream Mapping (VSM) is a Lean concept, tool and method to analyze the current state of a process at a 10,000 foot view. The VSM exercise is important to execute before actual change can take place. By developing the entire process from start (supplier)to finish (customer),

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FT Lecture: Waste in the Lab: Observation-Go and See

Observation: Waste in the Lab from Laboratory Learning Solutions on Vimeo. One of the first steps in applying Lean tools and techniques is to correctly identify and eliminate waste. Once we eliminate waste we can dig deeper to understand the current condition and work to redesign the process more efficiently. The process requires to observe and

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