Skip to main content
SpringerLink
Log in

Warship spare parts configuration optimization for stock control: Investigating the gap between qualitative and quantitative constraints

  • Published:
Journal of Shanghai Jiaotong University (Science) Aims and scope Submit manuscript

Abstract

This paper investigates the gap between qualitative and quantitative constraints in spare parts stock control, with specific reference to warship spare parts support projects. A critical literature review of theoretical contributions about qualitative or quantitative factors for warship spare parts warehouse management is firstly provided, which allows to analyze the reasons for this qualitative-quantitative gap by addressing the limitations of spare parts models developed in the literature. Therefore a model including cloud model, marginal analysis and Lagrange multiplier method (CML) for study is proposed in this paper to bridge the gap. The model is used to solve the mix-constraints (both qualitative and quantitative constraints are considered) problem in a logic decision diagram particularly at the different decision nodes of the diagram. Finally, verifying test results show that the algorithm is feasible and its optimal support project meets the needs of engineering practices.

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. SLEPTCHENKO A, VAN DER HEIJDEN M C, VAN HARTEN A. Effects of finite repair capacity in multiechelon, multi-indenture service part supply systems [J]. International Journal of Production Economics, 2002, 79(3): 209–230.

    Article  Google Scholar 

  2. RUSTENBURG W D, VAN HOUTUM G J, ZIJM W H M. Spare parts management at complex technologybased organizations: An agenda for research [J]. International Journal of Production Economics, 2001, 71(1): 177–193.

    Article  Google Scholar 

  3. SHERBROOKE C C. Metric: A multi-echelon tech nique for recoverable item control [J]. Operations Research, 1968, 16(1): 122–141.

    Article  Google Scholar 

  4. WEI S H, CHEN Y Q, JIN J S. Warship spare parts allotment method under space and cost constraints [J]. Systems Engineering and Electronics, 2013, 35(12): 2540–2544 (in Chinese).

    Google Scholar 

  5. CAI Z M, JIN J S, CHEN Y Q, et al. Warship spare parts allotment method under multi-constraints [J]. Systems Engineering and Electronics, 2015, 37(4): 838–844 (in Chinese).

    Google Scholar 

  6. LIU Y, GAI Q, ZHAO C, et al. Research on spare parts storage decision for ships on sailing in multi-restrain [J]. Ship Science and Technology, 2013, 35(11): 144–147 (in Chinese).

    Google Scholar 

  7. LEE L H, CHEW E P, TENG S, et al. Multi-objective simulation-based evolutionary algorithm for an aircraft spare parts allocation problem [J]. European Journal of Operational Research, 2008, 89(2): 476–491.

    Article  MATH  Google Scholar 

  8. KLINE R C, BACHMAN T C. Estimating spare parts requirements with commonality and redundancy [J]. Journal of Spacecraft and Rockets, 2007, 44(4): 977–984.

    Article  Google Scholar 

  9. RUAN M Z, LI Q M, ZHANG G Y, et al. Optimization method of carrying spare parts warship equipment under multi-constraints [J]. Acta Armamentarii, 2013, 34(9): 1144–1149 (in Chinese).

    Google Scholar 

  10. WANG N C, KANG R. An optimization model for inventory spares under multi-constraints and its decomposition algorithm [J]. Acta Armamentarii, 2009, 30(2): 247–251 (in Chinese).

    MathSciNet  Google Scholar 

  11. FEI G Y, ZHANG Z H, LIU J, et al. Configuration method of spares on warship [J]. Command Control & Simulation, 2014, 36(3): 133–136 (in Chinese).

    Google Scholar 

  12. BIAN J H, GUO L H, KANG R, et al. Spares optimization under the influence of false alarm [J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(3): 413–416 (in Chinese).

    Google Scholar 

  13. WANG Z Y, CAO J P, ZHU Y H, et al. Optimization model on removable spare parts warehouse deployment [J]. Systems Engineering and Electronics, 2013, 35(11): 2352–2355 (in Chinese).

    Google Scholar 

  14. XU L, LI Q M, RUAN M Z. Support project optimization for warship formation with finite repair capacity [J]. Systems Engineering and Electronics, 2014, 36(11): 2226–2232 (in Chinese).

    Google Scholar 

  15. WANG Z Y, CAO J P, ZHU Y, et al. An optimization model of wartime spare parts resource allocation on consideration of maintainability [J]. Acta Armamentarii, 2014, 35(5): 719–724 (in Chinese).

    Google Scholar 

  16. ROOSTAEE R. A multi-criteria intuitionistic fuzzy group decision making method for supplier selection with VIKOR method [J]. International Journal of Fuzzy System Applications (IJFSA), 2012, 2(1): 1–17.

    Article  Google Scholar 

  17. HUANG H Z, LIU Y, LI Y F, et al. New evaluation methods for conceptual design selection using computational intelligence techniques [J]. Journal of Mechanical Science and Technology, 2013, 27(3): 733–746.

    Article  Google Scholar 

  18. LI D Y, MENG H J, SHI X M. Membership clouds and membership cloud generators [J]. Journal of Computer Research and Development, 1995, 32(6): 15–20 (in Chinese).

    Google Scholar 

  19. FARLEY R D, PHUONG N, HAROLD D O. Numerical simulation of cloud seeding using a threedimensional cloud model [J]. The Journal of Weather Modification, 2014, 26(1): 113–124.

    Google Scholar 

  20. REZAEI R, CHIEW T K, LEE S P, et al. Interoperability evaluation models: A systematic review [J]. Computers in Industry, 2014, 65(1): 1–23.

    Article  Google Scholar 

  21. MOLENAERS A, BAETS H, PINTELON L, et al. Criticality classification of spare parts: A case study [J]. International Journal of Production Economics, 2012, 140(2): 570–578.

    Article  Google Scholar 

  22. ROMEIJNDERS W, TEUNTER R, VAN JAARSVELD W. A two-step method for forecasting spare parts demand using information on component repairs [J]. European Journal of Operational Research, 2012, 220(2): 386–393.

    Article  MathSciNet  MATH  Google Scholar 

  23. COSTANTINO F, GRNVIO G D, TRONCI M. Multiechelon, multi-indenture spare parts inventory control subject to system availability and budget constraints [J]. Reliability Engineering & System Safety, 2013, 119: 95–101.

    Article  Google Scholar 

  24. ZHANG F, YIN X Q. The standard time measurement based on product batch production [J]. Journal of Shandong University of Technology (Natural Science Edition), 2014, 28(3): 56–59 (in Chinese).

    Google Scholar 

  25. LI D Y, LIU C Y. Study on the universality of the normal cloud model [J]. China Engineering Science, 2004, 6(8): 28–34 (in Chinese).

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Military Key Laboratory for Naval Ship Power Engineering; College of Power Engineering, Naval University of Engineering, Wuhan, 430033, China

    Jiashan Jin  (金家善), Zhiming Cai  (蔡芝明) & Yanqiao Chen  (陈砚桥)

Authors
  1. Jiashan Jin  (金家善)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiming Cai  (蔡芝明)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yanqiao Chen  (陈砚桥)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhiming Cai  (蔡芝明).

Additional information

Foundation item: the National Defence Researching Fund (No. 51319060103)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jin, J., Cai, Z. & Chen, Y. Warship spare parts configuration optimization for stock control: Investigating the gap between qualitative and quantitative constraints. J. Shanghai Jiaotong Univ. (Sci.) 22, 440–448 (2017). https://doi.org/10.1007/s12204-017-1858-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12204-017-1858-9

Key words

CLC number

Search

Navigation