Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning

This paper considers a Monte Carlo simulation based method for estimating cycle stocks (production lot-sizing stocks) in a typical batch production system, where a variety of products is scheduled for production at determined periods of time. Delivery time is defined as the maximum lead time and pre...

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Main Authors:	Mohamad Mahdavi, Mojtaba Mahdavi
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2014
Online Access:	http://journalarticle.ukm.my/7059/ http://journalarticle.ukm.my/7059/ http://journalarticle.ukm.my/7059/1/18_Mohamad_Mahdavi.pdf

id	ukm-7059
recordtype	eprints
spelling	ukm-70592016-12-14T06:42:59Z http://journalarticle.ukm.my/7059/ Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning Mohamad Mahdavi, Mojtaba Mahdavi, This paper considers a Monte Carlo simulation based method for estimating cycle stocks (production lot-sizing stocks) in a typical batch production system, where a variety of products is scheduled for production at determined periods of time. Delivery time is defined as the maximum lead time and pre-assembly processing time of the product’s raw materials in the method. The product’s final assembly cycle and delivery time, which were obtained via the production schedule and supply chain simulation, respectively, were both considered to estimate the demand distribution of product based on total duration. Efficient random variates generators were applied to model the lead time of the supply chain’s stages. In order to support the performance reliability of the proposed method, a real case study is conducted and numerically analyzed. Universiti Kebangsaan Malaysia 2014-04 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7059/1/18_Mohamad_Mahdavi.pdf Mohamad Mahdavi, and Mojtaba Mahdavi, (2014) Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning. Sains Malaysiana, 43 (4). pp. 629-636. ISSN 0126-6039 http://www.ukm.my/jsm/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	This paper considers a Monte Carlo simulation based method for estimating cycle stocks (production lot-sizing stocks) in a typical batch production system, where a variety of products is scheduled for production at determined periods of time. Delivery time is defined as the maximum lead time and pre-assembly processing time of the product’s raw materials in the method. The product’s final assembly cycle and delivery time, which were obtained via the production schedule and supply chain simulation, respectively, were both considered to estimate the demand distribution of product based on total duration. Efficient random variates generators were applied to model the lead time of the supply chain’s stages. In order to support the performance reliability of the proposed method, a real case study is conducted and numerically analyzed.
format	Article
author	Mohamad Mahdavi, Mojtaba Mahdavi,
spellingShingle	Mohamad Mahdavi, Mojtaba Mahdavi, Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
author_facet	Mohamad Mahdavi, Mojtaba Mahdavi,
author_sort	Mohamad Mahdavi,
title	Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
title_short	Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
title_full	Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
title_fullStr	Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
title_full_unstemmed	Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning
title_sort	stochastic lead time demand estimation via monte carlo simulation technique in supply chain planning
publisher	Universiti Kebangsaan Malaysia
publishDate	2014
url	http://journalarticle.ukm.my/7059/ http://journalarticle.ukm.my/7059/ http://journalarticle.ukm.my/7059/1/18_Mohamad_Mahdavi.pdf
first_indexed	2023-09-18T19:48:38Z
last_indexed	2023-09-18T19:48:38Z
_version_	1777406070057074688

Stochastic lead time demand estimation via Monte Carlo simulation technique in supply chain planning

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