Title | Quality Workship by Uster |
---|---|
Course | Mba |
Institution | Savitribai Phule Pune University |
Pages | 110 |
File Size | 10.5 MB |
File Type | |
Total Downloads | 626 |
Total Views | 922 |
1 day Workshop on process optimization with Quality in mind Uster Technologies India Murali Ganesh Agenda Subject Duration Preparatory Process Key indicators and check points 09 to 13:00 (Tea break 10 to 11:00) Lunch break 13:00 to 14:00 Spinning, Winding and new innovations 14:00 to 17:00 (Tea brea...
1 day Workshop on process optimization with Quality in mind
Uster Technologies India
Murali Ganesh
Agenda
Subject
Duration
Preparatory Process • Key indicators and check points
09.30 to 13:00 (Tea break 10.45 to 11:00)
Lunch break
13:00 to 14:00
Spinning, Winding and new innovations
14:00 to 17:00
•
(Tea break 15:30 to 15:45)
Key indicators and check points
1
The most common challenges of the spinning mills
Productiv ity
Yield – waste
Systems
Quality & Costs
2
Automati on
Raw material
Energy
Labour
Manage ment
Producti on targets
Yarn demand
Competit ion
Quality
Claims
Consisten cy
Quality & Costs
Homoge nity
Requirement for better yarns at lower costs
Yarn quality
Manufacturing costs Year 1970
3
1980
1990
2000
2010
Remaining problems that the quality managers are facing in spinning mills today • No consistency from yarn batch to yarn batch • Foreign fiber claims • No systematic quality management in the mill • Number of outlier bobbins or cones too high • Raw material variation not under control • Knowledge of fiber quality characteristics and bales handling • Knowledge for what purpose the yarn is used • Claims cannot be traced back to specific events in the mill • Frequent changes of operators • Shortage of skilled personnel and textile technologists • Continuous pressure to reduce the costs (sacrificing the quality) 4
USTER® QUANTUM 3 Basics of yarn clearing Claims and their origin
Remaining thicks/thins, 16%
Fabric appearance, 15%
Contamination, 14%
Barré, 13%
Hairiness – pilling , 12% Breaks in knitting / weaving, 21%
5
Murali Ganesh Uster Technologies
White specs, 9%
Key Quality Indicators and check points
Murali Ganesh, Uster Technologies
Key Quality Indicators and Check points Raw Material
Gin Raw material Sourcing
Fiber quality
Bale Storage
Handling Bale Quality and size
7
Murali Ganesh Uster Technologies
Key Quality Indicators and Check points Laydowns – Mixing Recommendations Mixing Recommendations
Fiber fineness (Mic)
Fiber length and uniformity
Impurities
Color
•
Avg. Mic between laydown...