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Information acquisition for service contract quotations made by repair shops

Author

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  • Voorberg, S.
  • van Jaarsveld, W.
  • Eshuis, R.
  • van Houtum, G.J.

Abstract

Component maintenance, repair and overhaul is often performed under long-term service agreements with service providers. After receiving a request for quotation, the provider can quote a price for the contract. When the contract is awarded, the profit depends on the quoted price. To gain such contracts and make profit, service providers have to make an accurate estimation of the value of the contract. Therefore, it is crucial to collect attributes from multiple sources that improve the knowledge about the specific contract. However, due to time and effort investment, it is preferred to collect this information in a smart and dynamic way, i.e., responsive to the available collected information. This paper introduces a model of optimal information acquisition for profit maximization that can be used for such situations. Moreover, we introduce a specific model refinement that can be used for quotation optimization. The model utilizes a function that includes the information attributes as variables and returns the profit. Each piece of information is modelled as an attribute for which the true value can be retrieved and the corresponding retrieval effort is translated in a cost. We introduce three heuristic policies with different levels of dynamism for the order and the number of information attributes to be retrieved. We find out that fixing the order in which attributes are retrieved decreases the expected profit by only 4%, while also fixing the number of attributes has much worse consequences.

Suggested Citation

  • Voorberg, S. & van Jaarsveld, W. & Eshuis, R. & van Houtum, G.J., 2023. "Information acquisition for service contract quotations made by repair shops," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1166-1177.
    • Handle: RePEc:eee:ejores:v:305:y:2023:i:3:p:1166-1177
    DOI: 10.1016/j.ejor.2022.06.048
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    References listed on IDEAS

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    1. Churlzu Lim & J. Neil Bearden & J. Cole Smith, 2006. "Sequential Search with Multiattribute Options," Decision Analysis, INFORMS, vol. 3(1), pages 3-15, March.
    2. van Jaarsveld, Willem & Dollevoet, Twan & Dekker, Rommert, 2015. "Improving spare parts inventory control at a repair shop," Omega, Elsevier, vol. 57(PB), pages 217-229.
    3. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.
    4. A Sleptchenko & M C van der Heijden & A van Harten, 2003. "Trade-off between inventory and repair capacity in spare part networks," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 263-272, March.
    5. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    6. Van der Auweraer, Sarah & Boute, Robert N. & Syntetos, Aris A., 2019. "Forecasting spare part demand with installed base information: A review," International Journal of Forecasting, Elsevier, vol. 35(1), pages 181-196.
    7. Van der Auweraer, Sarah & Boute, Robert, 2019. "Forecasting spare part demand using service maintenance information," International Journal of Production Economics, Elsevier, vol. 213(C), pages 138-149.
    8. Vijay S. Mookerjee & Michael V. Mannino, 1997. "Redesigning Case Retrieval to Reduce Information Acquisition Costs," Information Systems Research, INFORMS, vol. 8(1), pages 51-68, March.
    9. John A. Muckstadt, 1973. "A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System," Management Science, INFORMS, vol. 20(4-Part-I), pages 472-481, December.
    10. Sleptchenko, Andrei & Turan, Hasan Hüseyin & Pokharel, Shaligram & ElMekkawy, Tarek Y., 2019. "Cross-training policies for repair shops with spare part inventories," International Journal of Production Economics, Elsevier, vol. 209(C), pages 334-345.
    11. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    12. Vijay S. Mookerjee & Brian L. Dos Santos, 1993. "Inductive Expert System Design: Maximizing System Value," Information Systems Research, INFORMS, vol. 4(2), pages 111-140, June.
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