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A Two-Warehouse Inventory Model with Exponential Demand Under Permissible Delay in Payment

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Computational Intelligence in Data Mining—Volume 2

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 411))

Abstract

The objective of the proposed paper is to develop an optimal policy of an inventory model that minimizes the total relevant cost per unit time. In this model, a two-warehouse system considers an owned warehouse (OW) with limited storage capacity and a rented warehouse (RW) with unlimited storage capacity. The demand rate is an exponential function of time, the rate of deterioration of OW is more than that of RW and the supplier provides the purchaser a permissible delay of payment. The results have been validated with the help of numerical examples.

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Authors and Affiliations

  1. Department of Mathematics, C. V. Raman College of Engineering, Bhubaneswar, 752054, Odisha, India

    Trailokyanath Singh

  2. Department of Mathematics, Institute of Mathematics and Applications, Andharua, Bhubaneswar, 751003, Odisha, India

    Hadibandhu Pattanayak

Authors
  1. Trailokyanath Singh
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  2. Hadibandhu Pattanayak
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Correspondence to Trailokyanath Singh .

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Editors and Affiliations

  1. Department of Computer Science Engineering and Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India

    Durga Prasad Mohapatra

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Singh, T., Pattanayak, H. (2016). A Two-Warehouse Inventory Model with Exponential Demand Under Permissible Delay in Payment. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_2

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  • DOI: https://doi.org/10.1007/978-81-322-2731-1_2

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2729-8

  • Online ISBN: 978-81-322-2731-1

  • eBook Packages: EngineeringEngineering (R0)

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