• Like
Simulation modeling for quality and productivity in steel cord manufacturing
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Simulation modeling for quality and productivity in steel cord manufacturing

  • 482 views
Published

Turkseven, C.H., and Ertek, G. (2003). “Simulation modeling for quality and productivity in steel cord manufacturing,” in Chick, S., Sánchez, P., Ferrin,D., and Morrice, D.J. (eds.). Proceedings of …

Turkseven, C.H., and Ertek, G. (2003). “Simulation modeling for quality and productivity in steel cord manufacturing,” in Chick, S., Sánchez, P., Ferrin,D., and Morrice, D.J. (eds.). Proceedings of 2003 Winter Simulation Conference. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Published in Business , Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
482
On SlideShare
0
From Embeds
0
Number of Embeds
1

Actions

Shares
Downloads
0
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. SIMULATION MODELING FOR QUALITY AND PRODUCTIVITY IN STEEL CORD MANUFACTURING         Can Hulusi Türkseven, Gürdal Ertek   Faculty of Engineering and Natural Sciences Sabancı University Orhanli, Tuzla, 34956 Istanbul, Turkey
  • 2.
    • Steel cord manufacturing system
    • Distinguishing characteristics
    • Various production settings
    • Applicability of simulation as a management decision support tool
  • 3. Steel Cord Manufacturing
    • Main reinforcement material in manufacture of steel radial tires
    • Continuous processes where wire semi-products are stored on discrete inventory units ( “spool” s)
  • 4. Steel Cord Manufacturing
    • Special considerations applicable to a narrow scope of industries
    • (Ex: the reversal of the wire wound on the spools at each bunching operation)
      • Cable manufacturing (electric/energy/fiber-optic)
      • Nylon cord manufacturing
      • Copper rod manufacturing
  • 5. The Manufacturing Process
    • “ Steel rod wire”, is thinned into “filament” s which are used in successive bunching operations to construct the “steel cord” final products.
    • Intermediate wire products are wound onto spools of varying capacities.
  • 6. The Manufacturing Process
  • 7. The Manufacturing Process
    • Payoff: filament coming out of wet drawing
    • Core: bunched wires entering next bunching operation
    • Take-up: output of each bunching operation
    • Construction: the final steel cord product
    • The “take-up” becomes the “core” for the following bunching operation.
  • 8. The Manufacturing Process
  • 9. Cross-section of a Steel Cord
  • 10. Change-overs
    • When “run-out” of a spool…
      • “ Change-over” : Setup performed by a skilled operator to feed the next spool
    • When the take-up spool is completely full… Change-over of take-up
    • Wire typically wasted at every change-over
    • Tying of changed spools results in a “knot”.
  • 11. Change-overs for (3x1) Change-overs for (3+9+15) Change-overs for (3+9)
  • 12. Wire Fractures
    • “ Wire fractures” , random breaks of the wire due to structural properties
      • Uncontrollable
      • May also result in considerable number of additional knots.
    • Cause?
      • previous fractures?
      • the locations of previous knots?
      • core and payoff lengths?
    • Statistical analysis of the data did not suggest any patterns
  • 13. Rejected Spools
    • Tire manufacturers prefer that the spools with the final cuts of steel cords contain no knots at all.
    • “ Rejected spools” : Final spools that contain knots
    • Management objective: to decrease the number of knots and the number of rejected spools
  • 14. Research Motivation
    • “ Optimal” spool lengths for each bunching operation
    • Minimize rejected spools
    • Such that spool lengths are within a certain percentage of the current spool lengths
  • 15. Unique Challanges
    • Knots locations are reversed at every spool change:
    • When a wound spool of length h with knot locations (k 1 , k 2 , ..., k n ) is fed into the bunching operation, the unwinding results in knot locations (h-k n , ..., h-k 2 , h-k 1 ) .
  • 16. Simulation Model
    • Programmed in C++ (MS Visual C++)
    • GUI with Borland Delphi
    • ~1 minute running time for a 10 ton production schedule (10 simulation experiments)
    • Why general-purpose language?
      • There are complexities (ex: reversing of knot locations at bunching operations) that would be next to impossible to reflect using spreadsheets and would have to be custom-programmed if a simulation language or modeling software were used.
  • 17.  
  • 18. Simulation Model
    • Input Parameters
      • Usage ratios
      • Wire densities
      • Fracture ratios
      • Machine characteristics and quantities
      • Knotting time
      • Final spool length
    • Decision Variables
      • Spool lengths
    • Outputs
      • Number of accepted spools
      • Number of rejected spools
      • Rejected wire length
      • Throughput time
  • 19. Results
    • Accurate estimation of the system performance measures
    • Validated with historical data
    • Accuracy can be increased through increasing simulation run lengths and number of simulations
  • 20. Conclusions / Suggestions
    • Some of the current operational rules used by operators are proven to be useful
      • Ex: Performing a take-up change-over if only a few hundred meters have remained on the bunching operation
    • Feasibility of implementing dynamic control policies can be investigated
  • 21. Future Work
    • Machine break-downs
    • Dynamic spool selection
    • Feasibility of machinery
    • Simulation optimization
    • Generic modeling environment to analyze systems with similar manufacturing characteristics