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Joint Optimization of Preventive Maintenance and Spare Parts Logistics for Multi-echelon Geographically Dispersed Systems

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Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

Preventive maintenance scheduling and optimization of logistic operations in geographically dispersed systems is an intricate decision-making problem, as maintenance activities have close interactions with spare parts logistics. Planning of spare parts logistics aims to get the right spare parts to the right places at right times for the necessary maintenance activities to take place, while keeping minimal requirements on maintenance resources and maintaining high utilization of assets. This paper considers such a problem by concurrently pursuing preventive maintenance scheduling and spare parts inventory planning problem for a set of geographically dispersed assets, each consisting of multiple degrading components. This paper also shows that the assumption of a multi-echelon maintenance network brings opportunities to improve the system performance through sharing inventories between maintenance facilities. Technically, the decision-making problem is modelled as a stochastic optimization problem and a novel simulation-based metaheuristic is proposed to solve it to obtain the integrated decision-making policy. Through numerical examples, the proposed integrated policy is shown to effectively reduce the operating cost by capturing the trade-offs between asset utilization, maintenance costs and consumption of maintenance resources.

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Notes

  1. 1.

    By treating each sub-problem in formulation (2) as a special case of the optimization problem (1), this proposed optimization approach is also useful in obtaining the integrated MC-independent policy.

References

  1. Acharya D, Nagabhushanam G, Alam S (1986) Jointly optimal block-replacement and spare provisioning policy. IEEE Trans Reliab 35:447–451

    Article  Google Scholar 

  2. Bjarnason ETS, Taghipour S (2015) Periodic inspection frequency and inventory policies for a k-out-of-n system. IIE Trans 48(7):638–650

    Article  Google Scholar 

  3. Chen M-C, Hsu C-M, Chen S-W (2006) Optimizing joint maintenance and stock provisioning policy for a multi-echelon spare part logistics network. J Chin Inst Ind Eng 23:289–302

    Article  Google Scholar 

  4. Glover F, Laguna M (2013) Tabu search. Springer

    Google Scholar 

  5. Hu R, Yue C, Xie J (2008) Joint optimization of age replacement and spare ordering policy based on genetic algorithm. In: International conference on computational intelligence and security, CIS’08. IEEE, pp 156–161

    Google Scholar 

  6. Ilgin MA, Tunali S (2007) Joint optimization of spare parts inventory and maintenance policies using genetic algorithms. Int J Adv Manuf Technol 34:594–604

    Article  Google Scholar 

  7. Kabir AZ, Al-Olayan AS (1996) A stocking policy for spare part provisioning under age based preventive replacement. Eur J Oper Res 90:171–181

    Article  Google Scholar 

  8. Lee S, Djurdjanovic D, Ni J (2007) Optimal condition-based maintenance decision making for a cluster tool. In: TECHCON, Austin TX, 10–12 Sept

    Google Scholar 

  9. Lynch P, Adendorff K, Yadavalli V, Adetunji O (2013) Optimal spares and preventive maintenance frequencies for constrained industrial systems. Comput Ind Eng 65:378–387

    Article  Google Scholar 

  10. Nguyen D, Bagajewicz M (2010) Optimization of preventive maintenance in chemical process plants. Ind Eng Chem Res 49:4329–4339

    Article  Google Scholar 

  11. Reeves C (2003) Genetic algorithms. Springer

    Google Scholar 

  12. Svoronos A, Zipkin P (1991) Evaluation of one-for-one replenishment policies for multiechelon inventory systems. Manag Sci 37:68–83

    Article  Google Scholar 

  13. Van Horenbeek A, Buré J, Cattrysse D, Pintelon L, Vansteenwegen P (2013) Joint maintenance and inventory optimization systems: a review. Int J Prod Econ 143:499–508

    Article  Google Scholar 

  14. Zanjani MK, Nourelfath M (2014) Integrated spare parts logistics and operations planning for maintenance service providers. Int J Prod Econ 158:44–53

    Article  Google Scholar 

  15. Wang K, Djurdjanovic, D (2017) Joint optimization of maintenance and spare parts logistics for a system of geographically distributed, multi-part assets. Working paper

    Google Scholar 

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Author information

Authors and Affiliations

  1. Program of Operations Research and Industrial Engineering, University of Texas at Austin, Austin, USA

    Keren Wang

  2. Department of Mechanical Engineering, University of Texas at Austin, Austin, USA

    Dragan Djurdjanovic

Authors
  1. Keren Wang
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  2. Dragan Djurdjanovic
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Corresponding author

Correspondence to Keren Wang .

Editor information

Editors and Affiliations

  1. The Asset Institute, Queensland University of Technology, Brisbane, QLD, Australia

    Joseph Mathew

  2. Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China

    C.W. Lim

  3. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Lin Ma

  4. Synengco Pty Ltd, Highgate Hill, QLD, Australia

    Don Sands

  5. School of Chemistry, Physics, Mechanical Engineering, Queensland University of Technology, Brisbane, QLD, Australia

    Michael E. Cholette

  6. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Sydney, NSW, Australia

    Pietro Borghesani

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Wang, K., Djurdjanovic, D. (2019). Joint Optimization of Preventive Maintenance and Spare Parts Logistics for Multi-echelon Geographically Dispersed Systems. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_63

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  • DOI: https://doi.org/10.1007/978-3-319-95711-1_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95710-4

  • Online ISBN: 978-3-319-95711-1

  • eBook Packages: EngineeringEngineering (R0)

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