# The two-stage location model for multi-construction period of material warehouses

## TL;DR

This paper introduces a two-stage model for planning material warehouses over multiple construction periods to reduce transportation time in power distribution networks.

## Contribution

A novel two-stage location model with honeycomb grid partitioning and optimization for multi-period warehouse planning.

## Key findings

- A honeycomb grid method effectively manages time-scale material demand.
- The two-stage model reduces maximum transportation time by 57.14% in Taizhou City.
- The approach converts long-term planning into multi-stage construction goals.

## Abstract

This article proposes a two-stage location model to construct a unified construction plan for multi-construction period material warehouses in the distribution network. Initially, we propose a honeycomb grid partitioning method aimed at managing the time-scale of electric power material demand through effective grid administration. Subsequently, we develop an optimization model for the first stage, which identifies the threshold for the upper limit of material transportation time and establishes the construction objectives for material warehousing during each construction period. To address the challenge posed by the inconsistent locations of material warehouses across different construction periods, we formulate an optimization model for the second stage. Finally, based on the spatial distribution of power demand in Taizhou City’s distribution network, we devise a comprehensive construction plan for a material warehouse system that spans four construction periods. By adding nine material warehouse locations, we achieve a reduction of 57.14% in the maximum transportation time for electric power materials. The method proposed in this article provides a general solution for the long-term planning of persistent structures by converting long-term planning into construction goals across multiple stages.