Optimization of shipyard layout with material handling cost as the main parameter using genetic algorithm

Gunawan, Allessandro Setyo Anggito Utomo, H. S.Verdi Benediktus

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

Abstract

The world trade path is mostly using sea transportation, which triggers an increase in the demand for ships ready for sailing. This situation demands the shipyard to be able to work optimally in building ships. However, there are problems encountered in the vessel manufacturing process in the field. The problem is the high material handling cost because most of the shipyard layout is designed based on experts experience and knowledge. The utilization of technology is already supposed to minimize material handling costs and produce optimal shipyard layout. The study aims to demonstrate a new method of determining shipbuilding design with the help of programming algorithms. This method of study uses software simulations and numerical analysis. Simulated software is done using Python 3.7 and Microsoft Excel 2019 as the input data. The study is also consist of Numerical analysis by genetic algorithm to create constraints and defined material handling cost in this research programming. Constraints used are the distance between buildings and the quantity of material flow. The material handling cost is defining as the result of multiplying the distance and the quantity of material flow. The decrease in a material handling cost is analyzed through the distance between departments in the shipyard and quantity of material displacement between departments. The genetic algorithm resulted in a reduction of material handling by 23.1%.

Original languageEnglish
Title of host publication5th International Tropical Renewable Energy Conference, i-TREC 2020
EditorsRidho Irwansyah, Muhammad Arif Budiyanto
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735441286
DOIs
Publication statusPublished - 23 Sep 2021
Event5th International Tropical Renewable Energy Conference, i-TREC 2020 - Depok, Indonesia
Duration: 29 Oct 202030 Oct 2020

Publication series

NameAIP Conference Proceedings
Volume2376
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference5th International Tropical Renewable Energy Conference, i-TREC 2020
Country/TerritoryIndonesia
CityDepok
Period29/10/2030/10/20

Keywords

  • Genetic algorithm
  • Layout
  • Material handling cost
  • Minimize
  • Optimal

Fingerprint

Dive into the research topics of 'Optimization of shipyard layout with material handling cost as the main parameter using genetic algorithm'. Together they form a unique fingerprint.

Cite this