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A Puzzle-Based Sequencing System for Logistics Items

Author

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  • Raji Alahmad

    (Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Fukuoka, Japan)

  • Kazuo Ishii

    (Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu, Kitakyushu 808-0196, Fukuoka, Japan)

Abstract

Background : The new demands of the current market including for space should be satisfied by designing modern material flow systems. Designing warehouses using effective material handling equipment significantly supports cost reduction and efficient space utilization. Sequencing of items is an important process that leads to enhanced logistics operations. Current approaches are not capable of fully fulfilling dynamic changes. Methods : In this paper, a puzzle-based sequencing system with a high density and highly efficient floor space utilization was successfully developed. Accordingly, two solving methods were investigated: game tree and pathfinding algorithms. A-star was chosen based on pathfinding algorithms in order to find the shortest solution of the puzzle in which the sequencing time was decreased. The pre-sorting strategy was proposed to overcome the unsolvable configuration issue that cannot be solved by the aforementioned methods. Moreover, the shape of the puzzle was considered. Results : Based on numerical calculations, we found that a square shape was better than a rectangle in terms of solution steps, and we confirmed the direct relationship between the aspect ratio and rectilinear distance, which directly affects the pre-sorting steps. Conclusion : Our results prove that the puzzle-based sequencing system should be highly preferred for effective floor space utilization compared to the current systems.

Suggested Citation

  • Raji Alahmad & Kazuo Ishii, 2021. "A Puzzle-Based Sequencing System for Logistics Items," Logistics, MDPI, vol. 5(4), pages 1-18, October.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:4:p:76-:d:667223
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    References listed on IDEAS

    as
    1. Rethmann, J. & Wanke, E., 1997. "Storage controlled pile-up systems, theoretical foundations," European Journal of Operational Research, Elsevier, vol. 103(3), pages 515-530, December.
    2. Nils Boysen & Konrad Stephan & Felix Weidinger, 2019. "Manual order consolidation with put walls: the batched order bin sequencing problem," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(2), pages 169-193, June.
    3. Boysen, Nils & Fedtke, Stefan & Weidinger, Felix, 2018. "Optimizing automated sorting in warehouses: The minimum order spread sequencing problem," European Journal of Operational Research, Elsevier, vol. 270(1), pages 386-400.
    4. Berg, J. P. van den & Zijm, W. H. M., 1999. "Models for warehouse management: Classification and examples," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 519-528, March.
    5. Altan Yalcin & Achim Koberstein & Kai-Oliver Schocke, 2019. "Motion and layout planning in a grid-based early baggage storage system," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(3), pages 683-725, September.
    6. Boysen, Nils & Stephan, Konrad & Weidinger, Felix, 2019. "Manual order consolidation with put walls: the batched order bin sequencing problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126187, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Altan Yalcin & Achim Koberstein & Kai-Oliver Schocke, 2019. "An optimal and a heuristic algorithm for the single-item retrieval problem in puzzle-based storage systems with multiple escorts," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 143-165, January.
    8. Boysen, Nils & Fedtke, Stefan & Weidinger, Felix, 2018. "Optimizing automated sorting in warehouses: The minimum order spread sequencing problem," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 126183, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Kevin R. Gue & Byung Soo Kim, 2007. "Puzzle‐based storage systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(5), pages 556-567, August.
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