Lean Design in the Medical Laboratory - the British Columbia ...
Lean Design in the Medical Laboratory - the British Columbia ... Lean Design in the Medical Laboratory - the British Columbia ...
Is Your Work Space “Visual”? • Can any reasonably intelligent person come to your department and identify what is going on? • Are there clear and unambiguous signals? • Are exceptions easy to identify? • Are the right measures in place, visible to all, and trended over time to measure improvement? ? “How do I help?” © 2010 Ortho-Clinical Diagnostics, Inc.
5S Sort Set in Order Shine Standardize Sustain A Lean manufacturing tool focused on creating and maintaining an organized, clean and high performing work environment by eliminating non-value-added activities such as searching around for tools and moving around in clutter. It is the foundation for continuous improvement, zero defects, cost reduction and a safe work area. © 2010 Ortho-Clinical Diagnostics, Inc.
- Page 1 and 2: Lean Design in the Medical Laborato
- Page 3 and 4: Introductions • What do you think
- Page 5 and 6: Calibration • Who am I? • Why i
- Page 7 and 8: Calibration • Who am I? • Why i
- Page 9 and 10: Agenda • Formalities • Definiti
- Page 11 and 12: Lean Design… The integration of T
- Page 13 and 14: Lean Design - The Physical Plant
- Page 15 and 16: Macro Design • What do your custo
- Page 17 and 18: Group Technology • Examines the t
- Page 19 and 20: Macro Design • Volumes 83% • Sp
- Page 21 and 22: After Lean © 2010 Ortho-Clinical D
- Page 23 and 24: Disorganization and Oversupply •
- Page 25: © 2010 Ortho-Clinical Diagnostics,
- Page 29 and 30: Micro Design - Material Layout Plan
- Page 31 and 32: Micro Design - Material Layout Plan
- Page 33 and 34: Lean Design - The Human Interface
- Page 35 and 36: What is the best way? • The desig
- Page 37 and 38: Measure - Data Based Decision Makin
- Page 39 and 40: Summary • Formalities • Definit
Is Your Work Space “Visual”?<br />
• Can any reasonably <strong>in</strong>telligent<br />
person come to your department<br />
and identify what is go<strong>in</strong>g on?<br />
• Are <strong>the</strong>re clear and unambiguous<br />
signals?<br />
• Are exceptions easy to identify?<br />
• Are <strong>the</strong> right measures <strong>in</strong> place,<br />
visible to all, and trended over<br />
time to measure improvement?<br />
?<br />
“How do I help?”<br />
© 2010 Ortho-Cl<strong>in</strong>ical Diagnostics, Inc.
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