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Language: korean

Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received April 2, 2008
Accepted May 31, 2008

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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공급 사슬망의 동력학 문제에 대한 몬테카를로 모사에 기반한 연구

A Monte Carlo Simulation Approach on Supply Chain Dynamics

류준형^† 이인범

Jun-Hyung Ryu^† In-Beum Lee

포항공대 화학공학과, 790-784 경북 포항시 남구 효자동 산 31

Department of Chemical Engineering, POSTECH, San 31, Hyoja-dong, Pohang 790-784, Korea

jun2002@postech.ac.kr

Korean Chemical Engineering Research, August 2008, 46(4), 792-798(7), NONE Epub 10 September 2008

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Abstract

공급 사슬망은 최근 학계와 기업에서 매우 큰 관심사로 떠오르며 그 중요성이 강조되고 있다. 통합적으로 관리하고 조망해야 한다는 필요성에 기반하고 있지만 전체적으로 조망하면서 지속적으로 일어나는 변동성을 어떻게 대응하고 준비해야 하는 가에 대해서는 연구가 상대적으로 활발하지 않았다. 본 논문에서는 공급 사슬망의 동적 특성들에는 어떤 것들이 있는지 살펴 보고 이를 통해 적절한 운영 방식을 찾기 위해 준비하였다. 각각 참여 요소(entity)들이 가지고 있는 변동성이 전체에 어떤 영향을 가지고 있는지 전체 소요 시간(Turn Around Time, TAT) 중심의 방법을 제안하였다. 이를 Monte Carlo Simulation 방법을 통해 7개의 인자들로 구성된 공급 사슬망의 사례를 제시하였다.

Supply chain management (SCM) has been drawn increasing attention in industries and academia. The attention is mainly due to a need to integrate the multiple activities in a process network from the overall perspective under the constantly varying economic environment. While many researchers have been addressing various issues of SCM, there is not much research explicitly handling the overall dynamics of supply chain entities from PSE literature. In this two-part series paper, it is investigated how the overall supply chain processing times vary in response to the variation of individual entities using Monte Carlo simulation. Instead of figuring out the operation levels of individual entities, the overall operation time called TAT(Turn-Around-Time) is proposed as a performance indicator. An example of 7 entity-supply chain is presented to illustrate the proposed methodology.

Keywords

Supply Chain Variation Monte Carlo Simulation Turn-Around-Time (TAT)

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