Skip to main content
SpringerLink
Log in

A developed production control and scheduling model in the semiconductor manufacturing systems with hybrid make-to-stock/make-to-order products

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

Abstract

Semiconductor manufacturing systems are one of the most complex production systems and this complexity increases when these systems produce both make-to-stock (MTS) and make-to-order (MTO) products in order to improve the production system utilization. To deal with this complexity, we present a dynamic production control and scheduling model for a semiconductor shop (fab) with hybrid MTS/MTO production environment. The proposed model encompasses two major modules: release module and dispatching module. The release module deals with two issues: prioritizing the MTS and MTO products in the job pool and determining when and which products can be released into the shop floor. The only considered issue of dispatching module is to prioritize the MTS and MTO products in the queue of each workstation whenever a machine becomes idle. To evaluate the proposed model, different performance measures for MTS and MTO products are considered. Moreover, a number of numerical experiments have been conducted by simulation studies. Simulation studies indicate that the proposed model outperforms other related well-known production control and scheduling policies in the literature.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Adan IJBF, van de Wal (1998) Combining make to order and make to stock. OR Spectrum 20:73–81. doi:10.1007/BF01539854

    Article  MATH  Google Scholar 

  2. Bechte W (1994) Load-oriented manufacturing control just-in-time production for job shops. Int J Prod Plan Control 5(3):292–307

    Article  Google Scholar 

  3. Bechte W (1988) Theory and practice of load-oriented manufacturing control. Int J Prod Res 26:375–395. doi:10.1080/00207548808947871

    Article  Google Scholar 

  4. Blackstone JH, Phillips DT, Hogg GL (1982) A state-of-the-art survey of dispatching rules for manufacturing job shop operations. Int J Prod Res 20(1):27–45. doi:10.1080/00207548208947745

    Article  Google Scholar 

  5. Burnman DY, Gurrola-Gal FJ, Nozari A, Sathaye S, Sitarik JP (1986) Performance analysis techniques for IC manufacturing lines. AT T Tech J 65(4):46–57

    Google Scholar 

  6. Chang SH, Pai PF, Yuan KJ, Wang BC, Li RK (2003) Heuristic PAC model for hybrid MTO and MTS production environment. Int J Prod Econ 85:347–358. doi:10.1016/S0925-5273(03)00121-X

    Article  Google Scholar 

  7. Dabbas RM, Fowler JW (2003) A new scheduling approach using combined dispatching criteria in wafer fabs. IEEE Trans Semicond Manuf 16:501–510. doi:10.1109/TSM.2003.815201

    Article  Google Scholar 

  8. Ebadian M, Rabbani M, Torabi SA, Jolai F (2008) Hierarchical production planning and scheduling in make-to-order environments: reaching short and reliable delivery dates. Int J Prod Res

  9. Federgruen A, Katalan Z (1999) The impact of adding a make-to-order item to a make-to-order production system. Manage Sci 45(7):980–994. doi:10.1287/mnsc.45.7.980

    Article  Google Scholar 

  10. Glassey CR, Weng WW (1991) Dynamic batching heuristic for simultaneous processing. IEEE Trans Semicond Manuf 4:77–82. doi:10.1109/66.79719

    Article  Google Scholar 

  11. Glassey CR, Resende MGC (1988)Closed-loop job release control for VLSI circuit manufacturing. IEEE Trans Semicond Manuf 1(1):36–46. doi:10.1109/66.4371

    Article  Google Scholar 

  12. Glassey CR, Resende MGC (1988) A scheduling rule for job shop release in semiconductor fabrication. Oper Res Lett 7(5):213–217. doi:10.1016/0167-6377(88)90033-8

    Article  Google Scholar 

  13. Goldratt EM (1991) The haystack syndrome. North River, Great Barrington, MA

    Google Scholar 

  14. Guide VDR (1996) Scheduling using drum–buffer–rope in remanufacturing environment. Int J Prod Res 34(4):1081–1091. doi:10.1080/00207549608904951

    Article  MATH  Google Scholar 

  15. Hax AC, Candea D (1984) Production and inventory management. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  16. Hopp WJ, Spearman ML (1991) Throughput of a constant work in process manufacturing line subject to failures. Int J Prod Res 29(3):635–655. doi:10.1080/00207549108930093

    Article  Google Scholar 

  17. Johnson LA, Montgomery DC (1974) Operations research in production planning, scheduling, and inventory control. Wiley, New York

    Google Scholar 

  18. Kerkkänen A (2007) Determining semi-finished products to be stocked when changing the MTS–MTO policy: case of a steel mill. Int J Prod Econ 108:111–118. doi:10.1016/j.ijpe.2006.12.006

    Article  Google Scholar 

  19. Kim YD, Kim JG, Choi B, Kim HU (2001) Production scheduling in a semiconductor wafer fabrication facility producing multiple product types with distinct due dates. IEEE Trans Robot Autom 17:589–598. doi:10.1109/70.954767

    Article  Google Scholar 

  20. Kingsman BG, Tatsiopoulos IP, Hendry LC (1989) A structural methodology for managing manufacturing lead times in make-to-order companies. Eur J Oper Res 40:196–209. doi:10.1016/0377-2217(89)90330-5

    Article  Google Scholar 

  21. Kingsman BG (2000) Modeling input–output workload control for dynamic capacity planning in production planning systems. Int J Prod Econ 68:73–93. doi:10.1016/S0925-5273(00)00037-2

    Article  Google Scholar 

  22. Land M, Gaalman G (1996) Workload control concepts in job shops: a critical assessment. Int J Prod Econ 46–47:535–538. doi:10.1016/S0925-5273(96)00088-6

    Article  Google Scholar 

  23. Lee B, Lee YH, Yang T, Ignisio J (2007) A due-date based production control policy using WIP balance for implementation in semiconductor fabrications. Int J Prod Res 45:5515–5529

    Google Scholar 

  24. Lee YH, Park J, Kim S (2002) Experimental study on input and bottleneck scheduling for a semiconductor fabrication line. IEEE Trans Semicond Manuf 34(2):179–190

    MathSciNet  Google Scholar 

  25. Lodding H, Yu KW, Wiendahl HP (2003) Decentralized WIP-oriented manufacturing control. Int J Prod Plan Control 14(1):42–54

    Article  Google Scholar 

  26. Lou SXC (1989) Optimal control rules for scheduling job shops. Ann Oper Res 1(17):233–248. doi:10.1007/BF02096607

    Article  Google Scholar 

  27. Lou SXC, Kager PW (1989) A robust production control policy for VLSI wafer fabrication. IEEE Trans Semicond Manuf 2(4):159–164. doi:10.1109/66.44620

    Article  Google Scholar 

  28. Lu SCH, Kumar PR (1991) Distributed scheduling based on due date and buffer priorities. IEEE Trans Automat Contr 36:1406–1416. doi:10.1109/9.106156

    Article  Google Scholar 

  29. Lu SCH, Ramaswamy D, Kumar PR (1994) Efficient scheduling policies to reduce mean and variance of cycle-time in semiconductor manufacturing plants. IEEE Trans Semicond Manuf 7(3):374–388. doi:10.1109/66.311341

    Article  Google Scholar 

  30. Miller DJ (1990) Simulation of a semiconductor manufacturing line. Commun ACM 33(10):99–108. doi:10.1145/84537.84556

    Article  Google Scholar 

  31. Nguyen V (1998) A multiclass hybrid production center in heavy traffic. Oper Res 46(3):13–25. doi:10.1287/opre.46.3.S13

    Article  Google Scholar 

  32. Oosterman B, Land ML, Gaalman G (2000) The influence of shop characteristics on workload control. Int J Prod Econ 68(1):107–119. doi:10.1016/S0925-5273(99)00141-3

    Article  Google Scholar 

  33. Pai P, Lee C, Su T (2004) A daily production model for wafer fabrication. Int J Adv Manuf Technol 23:58–63. doi:10.1007/s00170-002-1506-9

    Article  Google Scholar 

  34. Plossl GW (1988) Throughput time control. Int J Prod Res 26(3):493–499. doi:10.1080/00207548808947879

    Article  Google Scholar 

  35. Roderick LM, Philips DT, Hogg GL (1992) A comparison of order release strategies in production control systems. Int J Prod Res 30(3):611–626. doi:10.1080/00207549208942914

    Article  Google Scholar 

  36. Rose O 1999. CONLOAD—a new lot release for semiconductor wafer fabs. Proceedings of the winter simulation conference.

  37. Sha DY, Hsu SY, Che ZH, Chen CH (2006) A dispatching rule for photolithography scheduling with an on-line rework strategy. Int J Comput Ind Eng 50(3):233–247. doi:10.1016/j.cie.2006.04.002

    Article  Google Scholar 

  38. Silver EA, Peterson R (1985) Decision systems for inventory management and production planning, 2nd edn. Wiley, New York

    Google Scholar 

  39. Soman CA, Van Donk DP, Gaalman G (2004) Combined make-to-order and make-to-stock in a food production system. Int J Prod Econ 90(2):223–235. doi:10.1016/S0925-5273(02)00376-6

    Article  Google Scholar 

  40. Spearman ML, Woodruff DL, Hopp WJ (1990) CONWIP: a pull alternative to Kanban. Int J Prod Res 19:481–490

    Google Scholar 

  41. Tsubone H, Ishikawa Y, Yamamoto H (2002) Production planning system for a combination of make-to-stock and make-to-order products. Int J Prod Res 40(18):4835–4851. doi:10.1080/00207540210158834

    Article  MATH  Google Scholar 

  42. Wein LM (1988) Scheduling semiconductor wafer fabrication. IEEE Trans Semicond Manuf 1(3):115–130. doi:10.1109/66.4384

    Article  MathSciNet  Google Scholar 

  43. Wiendahl HP, Glassner J, Petermann D (1992) Applications of load-oriented manufacturing control in industry. Int J Prod Plann Contr 3(2):118–129. doi:10.1080/09537289208919381

    Article  Google Scholar 

  44. Wu M, Jiang J, Chang W (2007) Scheduling a hybrid MTO/MTS semiconductor fab with machine-dedication features. Int J Prod Econ 112(1):416–426. doi:10.1016/j.ijpe.2007.04.008

    Article  Google Scholar 

  45. Wu M, Huang YL, Chang YC, Yang KF (2006) Dispatching in semiconductor fabs with machine-dedication features. Int J Adv Manuf Technol 28:978–984. doi:10.1007/s00170-004-2431-x

    Article  Google Scholar 

  46. Yoon HJ, Lee DY (2000) A control method to reduce the standard deviation for flow time in wafer fabrication. IEEE Trans Semicond Manuf 13(3):389–392. doi:10.1109/66.857950

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    H. Eivazy & M. Rabbani

  2. Department of Wood Science, University of British Columbia, 2424 Main Mall, Vancouver, BC, V6T-1Z4, Canada

    M. Ebadian

Authors
  1. H. Eivazy
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Rabbani
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. Ebadian
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to M. Rabbani.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Eivazy, H., Rabbani, M. & Ebadian, M. A developed production control and scheduling model in the semiconductor manufacturing systems with hybrid make-to-stock/make-to-order products. Int J Adv Manuf Technol 45, 968–986 (2009). https://doi.org/10.1007/s00170-009-2028-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-009-2028-5

Keywords

Search

Navigation