Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/1516744.1517112acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
research-article

Time-limited next arrival heuristic for batch processing and setup reduction in a re-entrant environment

Published: 07 December 2008 Publication History

Abstract

This paper presents a new batch scheduling heuristic - the Time-Limited Next Arrival heuristic for batch processing and setup reduction (TLNA). This heuristic has been defined for a batch processing machine group in a re-entrant manufacturing environment where setups are sequence-dependent. When making the scheduling decision, TLNA takes into account future arrivals based on a user-defined wait time. A series of experiments is conducted on a discrete event simulation model to determine the impact of this wait time. A total cost function is used to combine two conflicting performance measures (total item queuing time and total machine running time) into one. All TLNA wait time scenarios are compared to the Next Arrival Control Heuristic for Multiple products and Multiple machines (NACHMM). The experiments presented show that there is a wait time that minimises the total operational cost. TLNA outperforms NACHMM with regard to all performance measures except total queuing time.

References

[1]
Allahverdi, A., and H. M. Soroush. 2008. The significance of reducing setup times/setup costs. European Journal of Operational Research 187:978--984.
[2]
Cigolini, R., M. Perona, A. Portioli, and T. Zambelli. 2002. A new dynamic look-ahead scheduling procedure for batching machines. Journal of Scheduling 5:185--204.
[3]
Duenyas, I., and J. J. Neale. 1997. Stochastic scheduling of a batch processing machine with incompatible job families. Annals of Operations Research 70:191--220.
[4]
Fowler, J. W., G. L. Hogg, and D. T. Phillips. 2000. Control of multiproduct bulk server diffusion/oxidation processes. Part 2: Multiple servers. IIE Transactions (Institute of Industrial Engineers) 32:167--176.
[5]
Fowler, J. W., D. T. Phillips, and G. L. Hogg. 1992. Real-time control of multiproduct bulk-service semiconductor manufacturing processes. IEEE Transactions on Semiconductor Manufacturing 5:158--163.
[6]
Glassey, C. R., and W. W. Weng. 1991. Dynamic batching heuristic for simultaneous processing. IEEE Transactions on Semiconductor Manufacturing 4:77--82.
[7]
Gupta, A. K., and A. I. Sivakumar. 2006. Optimization of due-date objectives in scheduling semiconductor batch manufacturing. International Journal of Machine Tools and Manufacture 46:1671--1679.
[8]
Law, A. M. 2007. Simulation modeling and analysis. 4th ed. McGraw-Hill, Inc.
[9]
Robinson, J. K., J. W. Fowler, and J. F. Bard. 1995. Use of upstream and downstream information in scheduling semiconductor batch operations. International Journal of Production Research 33:1849--1869.
[10]
Solomon, L., J. W. Fowler, M. Pfund, and P. H. Jensen. 2002. The inclusion of future arrivals and downstream setups into wafer fabrication batch processing decisions. Journal of Electronics Manufacturing 11:149--159.
[11]
Uzsoy, R., L. A. Martin-Vega, C. Lee, and P. A. Leonard. 1991. Production scheduling algorithms for a semiconductor test facility. IEEE Transactions on Semiconductor Manufacturing 4:270--280.
[12]
Van Der Zee, D. J. 2002. Adaptive scheduling of batch servers in flow shops. International Journal of Production Research 40:2811--2833.
[13]
Van Der Zee, D. J., A. Van Harten, and P. C. Schuur. 1997. Dynamic job assignment heuristics for multiserver batch operations - a cost based approach. International Journal of Production Research 35:3063--3093.
[14]
Weng, W. W., and R. C. Leachman. 1993. An improved methodology for real-time production decisions at batch-process work stations. IEEE Transactions on Semiconductor Manufacturing 6:219--225.

Cited By

View all
  • (2012)Using simulation and hybrid sequencing optimization for makespan reduction at a wet toolProceedings of the Winter Simulation Conference10.5555/2429759.2430018(1-13)Online publication date: 9-Dec-2012

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WSC '08: Proceedings of the 40th Conference on Winter Simulation
December 2008
3189 pages
ISBN:9781424427086

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International

Publisher

Winter Simulation Conference

Publication History

Published: 07 December 2008

Check for updates

Qualifiers

  • Research-article

Conference

WSC08
Sponsor:
  • IIE
  • INFORMS-SIM
  • ASA
  • IEEE/SMC
  • SIGSIM
  • NIST
  • (SCS)
WSC08: Winter Simulation Conference
December 7 - 10, 2008
Florida, Miami

Acceptance Rates

WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 28 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2012)Using simulation and hybrid sequencing optimization for makespan reduction at a wet toolProceedings of the Winter Simulation Conference10.5555/2429759.2430018(1-13)Online publication date: 9-Dec-2012

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media