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Optimal Ordering and Recovery Policy for Reusable Items with Shortages

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Simulated Evolution and Learning (SEAL 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

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Abstract

This study considers inventory of reusable items with shortages and develops a replenishing and production policy to satisfy customer need, and to promote the smart use of resources. Distinct from former researches, our study considers reusable items with shortages to derive the best replenishment and production strategy. A hybrid of numerical analysis and search method is used to derive the minimum total cost of the mathematical model. The result is compared with the case when no shortage is allowed.

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References

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering Chung Yuan Christian University, No. 200, Chung Pei Rd., Chung Li City, Taiwan

    H. M. Wee, Ling-Huey Su & Te-Chin Wu

  2. Logistics Management Department, Takming College, No. 56, Huan Shan Rd., Sec. 1, Ney Hwu Taipei City, Taiwan

    Jonas C. P. Yu

Authors
  1. H. M. Wee
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  2. Jonas C. P. Yu
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  3. Ling-Huey Su
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  4. Te-Chin Wu
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

    Tzai-Der Wang

  2. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  3. AI-ECON Research Center, Department of Economics, National Chengchi University, 11623, Taipei, Taiwan

    Shu-Heng Chen

  4. Department of Computer Science and Technology, University of Sci. & Tech. of China, 230026, Hefei, Anhui, P.R. China

    Xufa Wang

  5. School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

    Hussein Abbass

  6. The Univertity of Tokyo, Japan

    Hitoshi Iba

  7. Department of Computer, University of Science and Technology of China, 230027, Hefei, China

    Guo-Liang Chen

  8. University of Birmingham, Birmingham, UK

    Xin Yao

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Wee, H.M., Yu, J.C.P., Su, LH., Wu, TC. (2006). Optimal Ordering and Recovery Policy for Reusable Items with Shortages. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_37

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  • DOI: https://doi.org/10.1007/11903697_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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