Jurnal Telematika
2018: Industrial Engineering Seminar and Call for Paper (IESC) 2018

Development of Multi Item Probabilistic Inventory Model by Considering Perishable and Purchase Bonus Factors

Billy Limanjaya (Institut Teknologi Harapan Bangsa)
Roland Y. H. Silitonga (Institut Teknologi Harapan Bangsa)

Article Info

Publish Date
10 Dec 2018

Abstract

Probabilistic inventory model is used mostly in a condition when the demand has uncertainty but the pattern can be predicted, which is the most applicable model in real situation. There are two models considered in the study as the base. In the first previous model, purchase bonus policy was applied to probabilistic inventory model, considering purchase bonus that was given by the supplier. Other model was built considering perishable factor that affect inventory cost based on deterministic demand condition. The purpose of this research is to combine those models, a probabilistic inventory model considering perishable and purchase bonus factors. The model was built for multi item with single supplier case. By comparing the models, it can be concluded that the developed model was comprehensive and applicable in real condition.

Copyrights © 2018




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Jurnal Telematika
Website

Abbrev

telematika

Publisher

Institut Teknologi Harapan Bangsa

Subject

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

Description

Jurnal Telematika is a scientific periodical written in Indonesian language published by Institut Teknologi Harapan Bangsa twice per year. Jurnal Telematika publishes scientific papers from researchers, academics, activist, and practicioners, which are results from scientific study and research in ...