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Optimization of Storage Location Assignment for Fixed Rack Systems

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Web Information Systems and Mining (WISM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6318))

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Abstract

A multi-objective mathematical model and an improved Genetic Algorithm (GA) are formulated for storage location assignment of the fixed rack system. According to the assignment rules, the optimization aim is to maximize the storage/retrieval efficiency and to keep the stability of the rack system. The improved GA with Pareto optimization and Niche Technology are developed. The approach considers Pareto solution sets with the traditional operators, while the Niche Technology distributes the solutions uniformly in Pareto solution sets. The realization of the approach ensures storage location assignment optimization and offers a dynamic decision making scheme for automated storage and retrieval system (AS/RS).

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References

  1. Hsieh, S., Tsai, K.C.: A BOM oriented class-based storage assignment in an automated storage / retrieval systems. Int. J. Adv. Manuf. Technol. 17, 683–691 (2001)

    Article  Google Scholar 

  2. Thonemann, U.W., Brandeau, M.L.: Optimal storage assignment policies for automated storage and retrieval systems with stochastic demands. Management Science 44(1), 142–148 (1998)

    Article  MATH  Google Scholar 

  3. Ulungu, E.L., Teghem, J., Fortemps, P.H., et al.: MOSA method: a tool for solving multi-objective combinatorial optimization problems. Journal of Multi-criteria Decision Analysis 8, 221–236 (1999)

    Article  MATH  Google Scholar 

  4. Thierens, P., Bosman, D.: The balance between proximity and diversity in multi-objective Evolutionary algorithms. IEEE Transactions on Evolutionary Computation 7(2), 174–188 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Northeastern University, Shenyang, China

    Qinghong Wu & Zongmin Ma

  2. School of Electronic and Information Engineering, Liaoning University of Science & Technology, Anshan, China

    Qinghong Wu & Ying Zhang

Authors
  1. Qinghong Wu
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  2. Ying Zhang
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  3. Zongmin Ma
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Editor information

Editors and Affiliations

  1. Department of Business Administration, Caritas Francis Hsu College, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, SAR, China

    Zhiguo Gong

  3. School of Computer, Shanghai University, 99 Shangda Road, 200444, Shanghai, China

    Xiangfeng Luo

  4. School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, China

    Jingsheng Lei

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© 2010 Springer-Verlag Berlin Heidelberg

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Wu, Q., Zhang, Y., Ma, Z. (2010). Optimization of Storage Location Assignment for Fixed Rack Systems. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-16515-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16514-6

  • Online ISBN: 978-3-642-16515-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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