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Risk Mitigation in the Supply Chain ...

Renteria Marquez, Anabel.

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Risk Mitigation in the Supply Chain Caused by Multiple Phase-in and Phase-out Components Using SIMIO Simulation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Risk Mitigation in the Supply Chain Caused by Multiple Phase-in and Phase-out Components Using SIMIO Simulation./
作者:	Renteria Marquez, Anabel.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	182 p.
附註:	Source: Masters Abstracts International, Volume: 57-01.
Contained By:	Masters Abstracts International57-01(E).
標題:	Industrial engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10605515
ISBN:	9780355260823

Risk Mitigation in the Supply Chain Caused by Multiple Phase-in and Phase-out Components Using SIMIO Simulation.
Renteria Marquez, Anabel.

Risk Mitigation in the Supply Chain Caused by Multiple Phase-in and Phase-out Components Using SIMIO Simulation. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 182 p.

Source: Masters Abstracts International, Volume: 57-01.

Thesis (M.S.)--The University of Texas at El Paso, 2017.

Manufacturing is constantly changing, adapting to new technologies and making improvements on their products design, while dealing with engineering design changes can represent an improvement or savings to the company it can also end up as a huge risk of disruption in the Supply Chain if there is not a safety phase-in and phase-out components transition because the network became more complex and affected processes needs to be revalidated, here comes the importance to set up an strategy to mitigate any possible risk and maximize total revenue.

ISBN: 9780355260823Subjects--Topical Terms:

526216
Industrial engineering.

Risk Mitigation in the Supply Chain Caused by Multiple Phase-in and Phase-out Components Using SIMIO Simulation.
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520 $a A case study for a two tiers level Supply Chain system is evaluated using SIMIO Simulation software in order to compare different inventory management models including continuous orders, EOQ and POQ. Validation and final results for four different scenarios are provided, selecting the optimal results for this particular model.
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