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Multi-objective optimization of the number of transport resources in the high-bay warehouse

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The transport plays a growing role in the integrated logistics management of semi-finished products and components flow. For manufacturing companies it is important to maximize the use of production resources, minimize the number of transport resources and optimize the process, in terms of both production costs and time. The use of specific means of transport and correct organization of material flow are fundamental in order to assure continuity of production and to deliver products to the customer just in time. Due to highly complicated processes of organization and management of material flow, computer systems are currently used. Based on this type of application, some necessary simulations were carried out. These tests were aimed at investigating the impact of the number of transport resources on handling time of high-bay warehouse. On this basis, a methodology of defining a multi-objective function and determining weights of each objective are presented. The conducted analysis allowed to select the most effective number of internal transport resources in exemplary warehouse. The obtained results, particular stages of conducted analysis and conclusions were presented in this paper.

Original languageEnglish
Title of host publication2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-339
Number of pages6
ISBN (Electronic)9781509060870
DOIs
Publication statusPublished - 7 Jun 2017
Event3rd International Conference on Control, Automation and Robotics, ICCAR 2017 - Nagoya, Japan
Duration: 22 Apr 201724 Apr 2017

Publication series

Name2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017

Conference

Conference3rd International Conference on Control, Automation and Robotics, ICCAR 2017
Country/TerritoryJapan
CityNagoya
Period22/04/1724/04/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • High-bay warehouse
  • Multi-objective function
  • Optimization
  • Transport

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Control and Systems Engineering

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