Skip to main content
Log in

The evaluation of search range assignment in 300 mm automated material handling system (AMHS)

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

In the 300 mm AMHS with a connected loops layout, the vehicle can travel not just in one loop but all around the wide fab to execute tool-to-tool delivery. Determining how far the waiting FOUPs (WFs) or idle vehicles (IVs) should be considered before selecting a dispatching rule might make dispatching more efficient. A two-phase approach with simulation has been developed to assign the search range (SR) for studying this idea. The model of a simplified 300 mm AMHS was built using eM-Plant and Design Expert to design experiments and analyse the results. In phase I, the number of WF and IV in the system at the time of dispatching will affect the distance of the vehicle’s empty trip (DVemp). Further, the SR was assigned and evaluated based on the average and standard deviation of DVemp under different numbers of WF and IV in phase II. The results indicated that the SR significantly affects the performance, and a longer SR used in a light system is feasible; a shorter SR is applicable for a heavy system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

AMHS:

automated material handling system

OHT:

overhead hoist transporter

OHS:

overhead shutter

FOUP:

front-opening unified pod

MES:

manufacturing execution system

FEFS:

dispatching rule based on foremost encounter first served

NV:

dispatching rule based on the nearest vehicle

MR:

moving rate

SR:

search range

FSV:

FOUP search vehicle

VSF:

vehicle search FOUP

Dvemp :

distance of vehicle’s empty trip

WF :

waiting FOUP

IV :

idle vehicle

LSD:

the least significant difference

References

  1. Binder H, Honold A (1999) Automation and fab concepts for 300 mm wafer manufacturing. Microelectron Eng 45(2/3):91–100

    Article  Google Scholar 

  2. Kaempf U (1997) Automated wafer transport in the wafer Fab. Advanced Semiconductor Manufacturing Conference and Workshop, IEEE, pp 356–361

    Google Scholar 

  3. Kurosaki R, Nagao N, Komada H, Watanabe Y, Yano H (1997) AMHS for 300 mm wafer. Proc International Symposium on Semiconductor Manufacturing Conference, pp D13–D16

  4. Campbell E, Ammenheuser J (2000) 300 mm factory layout and material handling modeling: Phase II report. International SEMATECH, technology transfer # 99113848B-ENG

  5. Bahri N, Reiss J, Doherty B (2001) A comparison of unified vs. segregated automated material handling systems for 300 mm fabs. Proc International Symposium on Semiconductor Manufacturing Conference, pp 3–6

  6. Maxwell WL, Muckstadt JA (1982) Design of automatic guided vehicle systems. IIE Trans 14(2):114–124

    Google Scholar 

  7. Egbelu PJ (1987) The use of non-simulation approaches in estimating vehicle requirements in an automated guided vehicle based transport system. Mater Flow 4:17–32

    Google Scholar 

  8. Arifin R, Egbelu PJ (2000) Determination of vehicle requirements in automated guided vehicle systems: a statistical approach. Prod Plan Control 11(3):258–270

    Article  Google Scholar 

  9. Lin JT, Wang FK, Wu CK (2003a) Connecting transport AMHS in a wafer fab. Int J Prod Res 41(3):529–544

    Article  MATH  Google Scholar 

  10. Wang FK, Lin JT (2004) Performance evaluation of an automated material handling system for a wafer fab. Robot Comput Integr Manuf 20(2):91–100

    Article  Google Scholar 

  11. Fukunari M, Rajanna S, Gaskins RJ, Sparrow ME (2002) Data-based node penalties in a path-finding algorithm in an automated material handling system. Proc 2002 Winter Simulation Conference, pp 1383–1386

  12. Bahri N, Gaskins RJ (2000) Automated material handling system traffic control by means of node balancing. Proc 2000 Winter Simulation Conference, pp 1344–1346

  13. Lin JT, Wang FK, Yang CJ (2005) The performance of the number of vehicles in a dynamic connecting transport AMHS. Int J Prod Res 43(11):2263–2276

    Article  Google Scholar 

  14. Lin JT, Wang FK, Wu CK (2003.b) Simulation analysis of the connecting transport AMHS in a wafer fab. IEEE Trans Semiconductor Manuf 16(3):555–564

    Article  Google Scholar 

  15. Lin JT, Wang FK, Young JR (2004) Virtual vehicle in the connecting transport automated material-handling system (AMHS). Int J Prod Res 42(13):2599–2610

    Article  Google Scholar 

  16. Lin JT, Wang FK, Yen PY (2001) Simulation analysis of dispatching rules for an automated interbay material handling system in wafer fab. Int J Prod Res 39(6):1221–1223

    Article  MATH  Google Scholar 

  17. Wang CN, Liao DY (2003) Effective OHT dispatching for differentiated material handling services in 300 mm wafer foundry. Proceedings of the 2003 IEEE international conference on Robotics and Automation, pp 1027–1032

  18. Wang CN, Liao DY (2004) Differentiated automatic materials handling services in 300 mm semiconductor foundry. Conference 2004 of Operations Research Society in Taiwan, pp 105–113

  19. Lin JT, Wang FK, Chang YM (2006) A hybrid push/pull-dispatching rule for a photobay in a 300 mm wafer fab. Robot CIM-Int Manuf 22:47–55

    Article  Google Scholar 

  20. Egbelu PJ, Tanchoco JMA (1984) Characterization of automatic guided vehicle dispatching rules. Int J Prod Res 22(3):359–374

    Article  Google Scholar 

  21. Plant EM (2001) Objects manual, version 4.6. Tecnomatix Technologies GmbH & Co, Stuttgart, Germany

    Google Scholar 

  22. Montgomery DC (2001) Design and analysis of experiments. Wiley, New York

    Google Scholar 

  23. Myers RH, Montgomery DC (1995) Response surface methodology: process and product optimization using designed experiments. Wiley, New York

    Google Scholar 

  24. StatEase (2001) Design expert user’s manual, version 6.04. StatEast, Minneapolis

    Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the consultation made with the UMC Corporation at Taiwan, R.O.C. and the subvention from National Science (NSC) project: NSC 94-2213-E-009-084.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. Y. Sha.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sha, D.Y., Lin, J.T. & Yang, C.J. The evaluation of search range assignment in 300 mm automated material handling system (AMHS). Int J Adv Manuf Technol 35, 697–710 (2008). https://doi.org/10.1007/s00170-006-0747-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-006-0747-4

Keywords

Navigation