International Journal of Industrial Research and Applied Engineering
Vol 5, No 2: OCTOBER 2020

Inventory Routing Problem for Perishable Product with Dynamic Demand and Spoilage Rate

Krisna Wahyudi (Master of Industrial Engineering Departement, Petra Christian University)
I Gede Agus Widyadana (Master of Industrial Engineering Departement, Petra Christian University)
I Nyoman Sutapa (Master of Industrial Engineering Departement, Petra Christian University)

Article Info

Publish Date
30 Oct 2021

Abstract

The paper presents an inventory routing problem for perishable products using dynamic demand and spoilage rate data. This problem has three main costs for the simulation criteria: holding inventory cost, routing shipment cost, and perishable product cost with a single supplier and many retailers. Instead of the problem, there are 2 set decision variables inventory level range and shipping route. The simulation uses a Genetic Algorithm method to find the minimum cost. It shows that the dynamic data demand can be optimized, and the dynamic demand data have bigger cost consequences than the static demand data

Copyrights © 2021




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
International Journal of Industrial Research and Applied Engineering
Website

Abbrev

jirae

Publisher

Universitas Kristen Petra Surabaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Description

JIRAE is a peer-reviewed international journal providing a medium for the academic and industrial community to share cutting-edge research and development in various aspects of industrial technology and applied engineering. The objectives are: to encourage research work in the field of industrial ...