SUPPLY CHAIN OPTIMIZATION USING GENETIC
ALGORITHM IN INDUSTRY MANUFACTURE: A
SYSTEMATIC LITERATURE REVIEW

UPT. PERPUSTAKAAN Universitas Esa Unggul Kampus Emas UEU - Jakarta Barat
Phone	:	021-5674223, ext 282
Fax	:
E-mail	:	[email protected]
Website	:	http://library.esaunggul.ac.id
Support (Customer Service) :
[email protected]

Welcome..guys!

Have a problem with your access?
Please, contact our technical support below:

LIVE SUPPORT

Astrid Chrisafi

! ATTENTION !

To facilitate the activation process, please fill out the member application form correctly and completely

Registration activation of our members will process up to max 24 hours (confirm by email). Please wait patiently

Still Confuse?
Please read our User Guide

UEU » Journal » Teknik Informatika
Posted by [email protected] at 01/10/2021 12:18:56 • 627 Views

SUPPLY CHAIN OPTIMIZATION USING GENETIC ALGORITHM IN INDUSTRY MANUFACTURE: A SYSTEMATIC LITERATURE REVIEW

Optimasi Rantai Pasokan Menggunakan Algoritma Genetika dalam Industri Manufaktur: Tinjauan Literatur Sistematis

Created by :
MASMUR TARIGAN ( 0323027707 )
FORD LUMBAN GAOL; HARCO LESIE HENDRIC SPITS WARNARS; BENEFANO SOEWITO; TOKURO MATSUO

Subject:	RANTAI PASOKAN INDUSTRI BISNIS
Alt. Subject :	SUPPLY CHAIN INDUSTRY BUSINESS
Keyword:	Genetics Algorithms Supply Chain Optimization Effective Efficiency Accurate

Description:

One of the supply chain and exchange of material information from suppliers to final consumers is the supply chain idea. Customer needs fluctuate or go unnoticed as a result of the increase, decrease, and cancellation of consumer interest, and supply chains play a role in market competition. The thorough literature review aims to find a more accurate and efficient application of genetic algorithms in the manufacturing industry for supply chain optimization. from the journal search results, 171 journals were found for the period 2016-2021, after review, 118 journals that were relevant to the research were selected, from these relevant journals there were 23 selected journals. Of these 23 journals, there are still gaps in the criteria for research questions, based on search strings, process criteria, so that further research on supply chain optimization using genetic algorithms can still be done.

Date Create	:	01/10/2021
Type	:	Text
Format	:	pdf
Language	:	Indonesian
Identifier	:	UEU-Journal-11_1898
Collection ID	:	11_1898

Source :
Journal of Theoretical and Applied Information Technology 31st August 2021. Vol.99. No 16

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2021 Perpustakaan Universitas Esa Unggul

Publication URL :
https://digilib.esaunggul.ac.id/supply-chain-optimization-using-geneticalgorithm-in-industry-manufacture-asystematic-literature-review-22023.html

[ Free Download - Free for All ]