Research Article | | Peer-Reviewed

Inventory Calculation for an Item Supplied by Three Providers with Stochastic Lead Times

Received: 16 April 2025     Accepted: 27 April 2025     Published: 29 May 2025
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Abstract

This study aims to answer whether the policy of a business that is supplied by 3 different providers and with random patterns of their lead times is optimal or should be modified. The lead times are normal, the first one, uniform the second one and exponential the third. The three lead times have the same average value of eight days, with the objective of making a comparison of them. There is a restriction on the minimum service level, it has to be 95% or greater. The objective is to define the order quantity, the reorder point, and the fraction that should be ordered from each supplier to minimize inventory costs. The item has a normally distributed demand. Results were achieved by simulation that was made in Excel. The current policy of obtaining a third of the complete order from each supplier is satisfactory; however, it doesn´t produce the optimal cost, since lower-cost options were found. A sensitivity analysis was conducted to establish how inventory costs are affected by the variation of some parameters. The third supplier, with exponential pattern of lead time showed the highest variance of delivery time; thus, it has been the least recommended, since it has been the option with the highest cost.

Published in Engineering and Applied Sciences (Volume 10, Issue 3)
DOI 10.11648/j.eas.20251003.11
Page(s) 27-37
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Cross-over Ordering, Inventory Cost, Lead-time, Order Quantity, Reorder Point, Service Level

References
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Cite This Article
  • APA Style

    Landeta, J. M. I., Saldaña, J. A. N., Camacho, L. A. Z. (2025). Inventory Calculation for an Item Supplied by Three Providers with Stochastic Lead Times. Engineering and Applied Sciences, 10(3), 27-37. https://doi.org/10.11648/j.eas.20251003.11

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    ACS Style

    Landeta, J. M. I.; Saldaña, J. A. N.; Camacho, L. A. Z. Inventory Calculation for an Item Supplied by Three Providers with Stochastic Lead Times. Eng. Appl. Sci. 2025, 10(3), 27-37. doi: 10.11648/j.eas.20251003.11

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    AMA Style

    Landeta JMI, Saldaña JAN, Camacho LAZ. Inventory Calculation for an Item Supplied by Three Providers with Stochastic Lead Times. Eng Appl Sci. 2025;10(3):27-37. doi: 10.11648/j.eas.20251003.11

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  • @article{10.11648/j.eas.20251003.11,
      author = {Juan Manuel Izar Landeta and Jose Adrian Najera Saldaña and Lizbeth Angelica Zarate Camacho},
      title = {Inventory Calculation for an Item Supplied by Three Providers with Stochastic Lead Times
    },
      journal = {Engineering and Applied Sciences},
      volume = {10},
      number = {3},
      pages = {27-37},
      doi = {10.11648/j.eas.20251003.11},
      url = {https://doi.org/10.11648/j.eas.20251003.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.eas.20251003.11},
      abstract = {This study aims to answer whether the policy of a business that is supplied by 3 different providers and with random patterns of their lead times is optimal or should be modified. The lead times are normal, the first one, uniform the second one and exponential the third. The three lead times have the same average value of eight days, with the objective of making a comparison of them. There is a restriction on the minimum service level, it has to be 95% or greater. The objective is to define the order quantity, the reorder point, and the fraction that should be ordered from each supplier to minimize inventory costs. The item has a normally distributed demand. Results were achieved by simulation that was made in Excel. The current policy of obtaining a third of the complete order from each supplier is satisfactory; however, it doesn´t produce the optimal cost, since lower-cost options were found. A sensitivity analysis was conducted to establish how inventory costs are affected by the variation of some parameters. The third supplier, with exponential pattern of lead time showed the highest variance of delivery time; thus, it has been the least recommended, since it has been the option with the highest cost.
    },
     year = {2025}
    }
    

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    AU  - Juan Manuel Izar Landeta
    AU  - Jose Adrian Najera Saldaña
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    Y1  - 2025/05/29
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    N1  - https://doi.org/10.11648/j.eas.20251003.11
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.eas.20251003.11
    AB  - This study aims to answer whether the policy of a business that is supplied by 3 different providers and with random patterns of their lead times is optimal or should be modified. The lead times are normal, the first one, uniform the second one and exponential the third. The three lead times have the same average value of eight days, with the objective of making a comparison of them. There is a restriction on the minimum service level, it has to be 95% or greater. The objective is to define the order quantity, the reorder point, and the fraction that should be ordered from each supplier to minimize inventory costs. The item has a normally distributed demand. Results were achieved by simulation that was made in Excel. The current policy of obtaining a third of the complete order from each supplier is satisfactory; however, it doesn´t produce the optimal cost, since lower-cost options were found. A sensitivity analysis was conducted to establish how inventory costs are affected by the variation of some parameters. The third supplier, with exponential pattern of lead time showed the highest variance of delivery time; thus, it has been the least recommended, since it has been the option with the highest cost.
    
    VL  - 10
    IS  - 3
    ER  - 

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