Value Stream Mapping A Laboratory Tool Laurie Peterson-Wright Colorado Department of Public Health and Environment Laboratory Services Division.

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Presentation transcript:

Value Stream Mapping A Laboratory Tool Laurie Peterson-Wright Colorado Department of Public Health and Environment Laboratory Services Division

What is VSM? Follow a product’s production path from beginning to end. A visual representation of every process in the material and information flow.

What VSM is not Time Management Prioritization Workspace Organization

Benefits of VSM Create Value Eliminate Waste Reduce Lead Time Reduce Total Costs

Why? Meet the customers’ demand for a quality product at the time they need it and for a price they are willing to pay. Create agile and efficient business processes Manage total costs and ROI.

How? Improve Quality –Understand customer expectation and requirements –Review process –Problem-solving –Performance Metrics

How? Eliminate Waste –Overproduction –Waiting –Transport –Extra Processing –Inventory –Motion –Defects

How? Reduce Lead Time –Cycle Time –Batch Delay –Process Delay

Current State Highlights the connections among activities and information Employees understand entire value stream not just a single function Improve the decision-making process Easily identify areas of waste

Current State

12 steps Order initiation Order receipt Sample kit preparation Sample receipt Accessioning Temporary sample storage Worklist generation

12 steps continued Sample preparation Sample analysis Data validation Data interpretation Reporting

Lead Time Chart

Value Value added activities –Anything the customer is willing to pay for –Anything that changes the form fit or function of the sample Non-value added activities –Defects –Excess processing

Identifying value

Analysis 239 hours spent on non-value added activities! Only 13 hours were value added!

Future State

Analysis 36 opportunities for improvement Prioritized based on implementation time, customer centeredness, improved turnaround time, error reduction, efficiency, safety, work balance and cost.

Improvements Reducing analytical batch sizes and increasing the frequency of analyses Middleware to interface instrumentation with the LIMS Staggering shifts Cross training analysts for reporting Automation of manual analyses

Turnaround Time

Conclusion Hard work (who wants to be non-value added?) Diminishing returns sometimes “better beats best” Strong management support Willingness to change