PERANCANGAN RUTE DISTRIBUSI SEMEN 40 KG MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATIONDI PT. SOLUSI BANGUN INDONESIA TUBAN PLANT

PERDANA PUTRA, MOCH DICKY (2021) PERANCANGAN RUTE DISTRIBUSI SEMEN 40 KG MENGGUNAKAN ALGORITMA ANT COLONY OPTIMIZATIONDI PT. SOLUSI BANGUN INDONESIA TUBAN PLANT. Undergraduate thesis, UPN Veteran Jawa Timur.

[img]
Preview
Text (Cover)
cvr.pdf

Download (3MB) | Preview
[img]
Preview
Text (Bab 1)
b1.pdf

Download (624kB) | Preview
[img] Text (Bab 2)
b2.pdf
Restricted to Registered users only

Download (1MB)
[img] Text (Bab 3)
b3.pdf
Restricted to Registered users only

Download (2MB)
[img] Text (Bab 4)
b4.pdf
Restricted to Registered users only

Download (1MB)
[img]
Preview
Text (Bab 5)
b5.pdf

Download (280kB) | Preview
[img]
Preview
Text (Daftar pustaka)
dapus.pdf

Download (127kB) | Preview
[img] Text (Lampiran)
lamp.pdf
Restricted to Registered users only

Download (705kB)

Abstract

Distribution is a process of distributing goods or services needed from producers or service producers to consumers and to users, wherever and whenever needed. Problems that often occur in the distribution process that are often encountered are constraints on ineffective routes and inadequate fleet carrying capacity, especially in the Tuban and surrounding areas. This study aims to optimize the distribution route using the Ant Colony Optimization algorithm. This method is used to determine the shortest route that can be taken with the help of ants, achieving optimal results in reducing the distance. The conclusion of this research is that the route from the company is 436.8 km, whereas when using the ant colony method, the route is obtained, namely the total distance traveled for the ant colony algorithm is 163.2 km for one trip. The fleet required for each shipment is 2 trucks with each truck carrying 8 tons and 7.6 tons. And each truck covers a round trip distance of 151.7 km and 61.7 km. Keywords: Ant Colony Algorithm, Traveling Salesman Problem

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorRusindiyanto, RusindiyantoNIDN0725026501UNSPECIFIED
Subjects: T Technology > TS Manufactures > TS 155-194 Production Management, Operations Management
Divisions: Faculty of Engineering > Departement of Industrial Engineering
Depositing User: Fatchullah Fatchullah
Date Deposited: 27 Jul 2021 04:08
Last Modified: 27 Jul 2021 04:08
URI: http://repository.upnjatim.ac.id/id/eprint/2347

Actions (login required)

View Item View Item