Skip to main content

Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering

  • Conference paper
Book cover Swarm, Evolutionary, and Memetic Computing (SEMCCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7677))

Included in the following conference series:

  • 2926 Accesses

Abstract

Remanufacturing is a growing branch of the traditional manufacturing industry. In this study, a discrete harmony search (DHS) algorithm is proposed for the dynamic flexible job shop scheduling problem (FJSSP) in remanufacturing. Firstly, the dynamic flexible job shop scheduling in remanufacturing engineering is described. Secondly, the harmony search algorithm is discretized for the dynamic flexible job shop scheduling problem. Thirdly, a new method for improving a new harmony is proposed based on the characteristics of dynamic FJSSP and solution representation. Finally, simulation experiments are carried out to test the proposed discrete harmony search algorithm. The results show the effectiveness of the proposed DHS algorithm in solving the disassembly scheduling problem in remanufacturing engineering.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lund, R.I.: Remanufacturing. Technology Review 87(2), 18–23 (1984)

    Google Scholar 

  2. Krupp, J.A.: Structuring bills of material for automotive remanufacturing. Production and Inventory Management Journal 34(4), 46–52 (1993)

    Google Scholar 

  3. Krupp, J.A.: Core obsolescence forecasting in remanufacturing. Production and Inventory Management Journal 33(2), 12–17 (1992)

    Google Scholar 

  4. Guide Jr., V.D.R., Srivastava, R., Spencer, M.S.: A evaluation of capacity planning techniques in a remanufacturing environment. International Journal of Production Research 35(1), 67–82 (1997)

    Article  MATH  Google Scholar 

  5. Guide Jr., V.D.R., Srivastava, R., Kraus, M.E.: Product structure complexity and scheduling of operations in recoverable manufacturing. International Journal of Production Research 35(11), 3179–3200 (1997)

    Article  MATH  Google Scholar 

  6. DePuy, G.W., Usher, J.S., Walker, R.L., Taylor, G.D.: Production planning for remanufactured products. Production Planning & Control 18(7), 573–583 (2007)

    Article  Google Scholar 

  7. Teunter, R.H., Bayindir, Z.P., Van Den Heuvel, W.: Dynamic lot sizing with product returns and remanufacturing. International Journal of Production Research 44(20), 4377–4400 (2006)

    Article  MATH  Google Scholar 

  8. Grubbström, R.W., Tang, O.: Optimal production opportunities in a remanufacturing system. International Journal of Production Research 44(18), 3953–3966 (2006)

    Article  MATH  Google Scholar 

  9. Denizel, M., Fergusonand, M., Souza, G.C.: Multiperiod remanufacturing planning with uncertain quality of inputs. IEEE Transactions on Engineering Management 57(3), 394–404 (2010)

    Article  Google Scholar 

  10. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)

    Article  Google Scholar 

  11. Lee, K.S., Geem, Z.W., Lee, S.H., Bae, K.W.: The harmony search heuristic algorithm for discrete structural optimization. Eng. Optimiz. 37(7), 663–684 (2005)

    Article  MathSciNet  Google Scholar 

  12. Mahdavi, M., Fesanghary, M., Damangir, E.: An improved harmony search algorithm for solving optimization problems. Appl. Math. and Comput. 188(2), 1567–1579 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  13. Geem, Z.W., Lee, K.S., Park, Y.: Application of harmony search to vehicle routing. Am. J. Appl. Sci. 2(12), 1552–1557 (2005)

    Article  Google Scholar 

  14. Geem, Z.W.: Optimal cost design of water distribution networks using harmony search. Eng. Optimiz. 38(3), 259–280 (2006)

    Article  Google Scholar 

  15. Geem, Z.W.: Optimal Scheduling of Multiple Dam System Using Harmony Search Algorithm. In: Sandoval, F., Prieto, A.G., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 316–323. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Geem, Z.W.: Harmony Search Algorithm for Solving Sudoku. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part I. LNCS (LNAI), vol. 4692, pp. 371–378. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  17. Zarei, O., Fesanghary, M., Farshi, B., Saffar, R.J., Rafar, M.R.: Optimization of multi-pass face-milling via harmony search algorithm. J. Mater. Process. Tech. 209(5), 2386–2392 (2009)

    Article  Google Scholar 

  18. Coelho, L.S., Bernert, D.L.A.: An improved harmony search algorithm for synchronization of discrete-time chaotic system. Chaos Solitons Fract 41(5), 2526–2532 (2009)

    Article  MATH  Google Scholar 

  19. Wang, L., Pan, Q.K., Tasgetiren, M.F.: Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms. Expert Syst. Appl. 37(12), 7929–7936 (2010)

    Article  Google Scholar 

  20. Pan, Q.K., Suganthan, P.N., Liang, J.J., Tasgetiren, M.F.: A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem. Expert Syst. Appl. 38(4), 3252–3259 (2011)

    Article  Google Scholar 

  21. Gao, K.Z., Pan, Q.K., Li, J.Q.: Discrete harmony search algorithm for the no-wait flow shop scheduling problem with total flow time criterion. Int. J. Adv. Manuf. Technol. 56, 683–692 (2011)

    Article  Google Scholar 

  22. Gao, K.Z., Pan, Q.K., Li, J.Q., et al.: A hybrid harmony search algorithm for the no-wait flow shop scheduling problems. Asia-Pacific J. of Operational Research 29(2), 1250012 (23 pages) (2012)

    Google Scholar 

  23. Yadav, P., Kumar, R., Panda, S.K., Chang, C.S.: An improved harmony search algorithm for optimal scheduling of the diesel generators in oil rig platforms. Energ. Convers. Manage. 52(2), 893–902 (2011)

    Article  Google Scholar 

  24. Geem, Z.W.: Novel Derivative of Harmony Search Algorithm for Discrete Design Variables. Applied Mathematics and Computation 199(1), 223–230 (2008)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gao, K.Z., Suganthan, P.N., Chua, T.J. (2012). Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35380-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35379-6

  • Online ISBN: 978-3-642-35380-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics