eprintid: 39121
rev_number: 16
eprint_status: archive
userid: 12440
dir: disk0/00/03/91/21
datestamp: 2020-04-28 03:50:54
lastmod: 2020-04-28 03:52:32
status_changed: 2020-04-28 03:50:54
type: article
metadata_visibility: show
creators_name: Pramudyo, Cahyono Sigit
title: One vendor-one retailer in vendor managed inventory problem with stochastic demand
ispublished: pub
subjects: sains
divisions: artkl
full_text_status: public
keywords: vendor managed inventory; VMI; genetic algorithm; stochastic
demand
abstract: One of the basic problems in supply chain operation is lack of
information exchanges related to inventory between vendor and retailer. Vendor managed inventory (VMI) provides a good approach to handle this problem. VMI has been proven to reduce cost and improve customer service level. This research aim is to develop a VMI model for the system with one vendor and one retailer to minimise the total system cost. The model is
developed for (t, q) policy where the retailer’s cycle time is fixed. Due to the complexity nature of the model, simulation-optimisation using genetic algorithm is employed to determine the decision variables which are the retailer’s lot size, the vendor’s lot size, and the number of replenishments in a
vendor cycle. Numerical experiments are conducted to show how the proposed model works. Sensitivity analysis is also conducted to understand the effects of some input parameters.
date: 2017-01-11
date_type: published
publication: International Journal Industrial and Systems Engineering,
volume: 27
number: 1
publisher: Inderscience Publishers
pagerange: 90-106
id_number: DOI: 10.1504/IJISE.2017.085756
refereed: TRUE
issn: Print ISSN: 1748-5037 Online ISSN: 1748-5045
official_url: https://www.inderscienceonline.com/loi/ijise
citation:   Pramudyo, Cahyono Sigit  (2017) One vendor-one retailer in vendor managed inventory problem with stochastic demand.  International Journal Industrial and Systems Engineering,, 27 (1).  pp. 90-106.  ISSN Print ISSN: 1748-5037 Online ISSN: 1748-5045     
document_url: https://digilib.uin-suka.ac.id/id/eprint/39121/7/IJISE%20Edisi%2027%20%281%29%202017%20Digilib.pdf