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Reverse Logistic Model for Deteriorating Items with Non-instantaneous Deterioration and Learning Effect

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Book cover Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 339))

Abstract

Recycling is the necessary concept for survival of the today’s global environment. To encourage this concept, in present article we have developed a reverse logistics model for deteriorating items. The deterioration is treated as non-instantaneous rate with time dependent demand rate. The production rate is directly related with demand rate under the effect of learning. The whole study is done in an inflationary environment. The goal of this study is to find optimum value of total cost function. At the end this article model is numerically illustrated and a sensitivity analysis is performed.

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Author information

Authors and Affiliations

  1. D. N. College, Meerut, India

    S. R. Singh

  2. Banasthali University, Banasthali, India

    Himanshu Rathore

Authors
  1. S. R. Singh
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  2. Himanshu Rathore
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Corresponding author

Correspondence to S. R. Singh .

Editor information

Editors and Affiliations

  1. University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  3. Dean, Faculty of Engineering, Technology, University of Kalyani, Kalyani, West Bengal, India

    Manas Kumar Sanyal

  4. Engineering and Technological Studies, University of Kalyani, Kalyani, West Bengal, India

    Partha Pratim Sarkar

  5. Department Computer Science & Engineering, University of Kalyani, Kalyani, India

    Anirban Mukhopadhyay

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Singh, S.R., Rathore, H. (2015). Reverse Logistic Model for Deteriorating Items with Non-instantaneous Deterioration and Learning Effect. In: Mandal, J., Satapathy, S., Kumar Sanyal, M., Sarkar, P., Mukhopadhyay, A. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 339. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2250-7_43

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  • DOI: https://doi.org/10.1007/978-81-322-2250-7_43

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2249-1

  • Online ISBN: 978-81-322-2250-7

  • eBook Packages: EngineeringEngineering (R0)

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