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Warehouse Optimization: Energy Efficient Layout and Design

Author

Listed:
  • Ivan Derpich

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 916000, Chile)

  • Juan M. Sepúlveda

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 916000, Chile)

  • Rodrigo Barraza

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 916000, Chile
    School of Industrial Engineering, Universidad Santo Tomas, Santiago 8370003, Chile)

  • Fernanda Castro

    (Department of Industrial Engineering, Universidad de Santiago de Chile, Santiago 916000, Chile)

Abstract

It has been widely demonstrated by many research works that the distribution of a factory can condition its productivity. Because of this, a factory in Santiago, Chile, asked the authors for advice to evaluate the current situation in the company and what alternatives could be proposed to improve performance by increasing productivity without incurring too high costs. Among the most important requirements requested was a study of the current design of the raw materials warehouse within the plant since this is a main pillar in the design of the plant. For this purpose, the current layout ws analyzed and alternative designs were proposed under two scenarios: use the same area that is currently available or make the design from scratch considering land purchases to build the warehouse. In order to give a precise answer to many possible design decisions, formulations were developed and deduced to calculate the optimal dimensions of the warehouse, and qualitative criteria were incorporated for decision making.

Suggested Citation

  • Ivan Derpich & Juan M. Sepúlveda & Rodrigo Barraza & Fernanda Castro, 2022. "Warehouse Optimization: Energy Efficient Layout and Design," Mathematics, MDPI, vol. 10(10), pages 1-17, May.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:10:p:1705-:d:817164
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    References listed on IDEAS

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    Cited by:

    1. Claudia Durán & Ivan Derpich & Raúl Carrasco, 2022. "Optimization of Port Layout to Determine Greenhouse Gas Emission Gaps," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    2. Li Zhou & Huwei Liu & Junhui Zhao & Fan Wang & Jianglong Yang, 2022. "Performance Analysis of Picking Routing Strategies in the Leaf Layout Warehouse," Mathematics, MDPI, vol. 10(17), pages 1-28, September.
    3. Dragan Djurdjević & Nenad Bjelić & Dražen Popović & Milan Andrejić, 2022. "A Combined Dynamic Programming and Simulation Approach to the Sizing of the Low-Level Order-Picking Area," Mathematics, MDPI, vol. 10(20), pages 1-23, October.

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    Keywords

    design; warehouse; efficient; energy;
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