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Research on Location Selection of Progressive Distribution Center of H Company Based on Demand Forecast

Published: 09 January 2022 Publication History

Abstract

With the rapid development of my country's logistics industry, the logistics distribution center plays an extremely important role in the entire logistics supply chain of an enterprise, and the location of the distribution center is another key step. This research first establishes a time series forecasting model, and then comprehensively considers the factors of maximizing customer satisfaction value and minimizing the total cost of the distribution network, and establishes a multi-objective optimization model for the location of enterprise distribution centers. The construction of the distribution center is a large-scale project. Once completed, it will be difficult to change in the next few years. Therefore, in actual operation, it is necessary to consider whether the new distribution center of the company can meet the company's future needs. In this paper, the progressive location scheme proposed by the dynamic programming model can realize the rational use of enterprise resources to a greater extent. In the case verification, first use the time series method to predict the future demand of H company, then use Lingo software to solve the model, and finally use the dynamic programming model to calculate the progressive site selection plan, and compare and verify the progressive selection. The site plan is more in line with the actual situation of H company than the traditional site selection plan.
CCS CONCEPTS • Applied computing∼E-commerce infrastructure

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ICIBE '21: Proceedings of the 7th International Conference on Industrial and Business Engineering
September 2021
411 pages
ISBN:9781450390644
DOI:10.1145/3494583
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 January 2022

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Author Tags

  1. Customer satisfaction
  2. Distribution center
  3. Progressive location selection
  4. Time series forecast

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