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Reshoring with Remote Manufacturing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Reshoring with Remote Manufacturing./
Author:	Weerasekara, Sachini.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	65 p.
Notes:	Source: Masters Abstracts International, Volume: 83-03.
Contained By:	Masters Abstracts International83-03.
Subject:	Industrial engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28719292
ISBN:	9798544281634

Reshoring with Remote Manufacturing.
Weerasekara, Sachini.

Reshoring with Remote Manufacturing. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 65 p.

Source: Masters Abstracts International, Volume: 83-03.

Thesis (M.S.)--Northeastern University, 2021.

This item must not be sold to any third party vendors.

Offshoring manufacturing operations has been a promising move for the past three decades. However, due to the rising labor costs in offshoring destinations and manufacturing and supply chain resilience concerns, the diminishing cost advantages have placed offshoring at a questionable state now than ever. Nevertheless, bringing the manufacturing operation back home imposes several challenges such as heavy capital expenditure, labor, and raw material shortages. Although Industry 4.0 technologies can partially mitigate these challenges, the typical capital-intensive nature associated is still a significant concern for manufacturing firms that complete on cost with narrow profit margins. This study formulates a system dynamics model to foresee the supply chain dynamics of remote manufacturing. Firstly, it envisions tele-augmented manufacturing, a novel Industry 4.0 initiative. Secondly, it formulates causal loops followed by stocks and flows to investigate its capability to support reshoring, especially for firms with cost containment as the top priority. The model uses a set of differential equations to represent how various resilience and cost indexes will behave over time under domestic operations facilitated by remote manufacturing. Manufacturers considering reshoring with a push-pull production strategy can use this model to evaluate the potential of remote manufacturing and formulate reshoring policies that can ensure sustained profitability.

ISBN: 9798544281634Subjects--Topical Terms:

526216
Industrial engineering.
Subjects--Index Terms:

Offshore manufacturing

Reshoring with Remote Manufacturing.
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245 1 0 $a Reshoring with Remote Manufacturing.
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300 $a 65 p.
500 $a Source: Masters Abstracts International, Volume: 83-03.
500 $a Advisor: Kamarthi, Sagar.
502 $a Thesis (M.S.)--Northeastern University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Offshoring manufacturing operations has been a promising move for the past three decades. However, due to the rising labor costs in offshoring destinations and manufacturing and supply chain resilience concerns, the diminishing cost advantages have placed offshoring at a questionable state now than ever. Nevertheless, bringing the manufacturing operation back home imposes several challenges such as heavy capital expenditure, labor, and raw material shortages. Although Industry 4.0 technologies can partially mitigate these challenges, the typical capital-intensive nature associated is still a significant concern for manufacturing firms that complete on cost with narrow profit margins. This study formulates a system dynamics model to foresee the supply chain dynamics of remote manufacturing. Firstly, it envisions tele-augmented manufacturing, a novel Industry 4.0 initiative. Secondly, it formulates causal loops followed by stocks and flows to investigate its capability to support reshoring, especially for firms with cost containment as the top priority. The model uses a set of differential equations to represent how various resilience and cost indexes will behave over time under domestic operations facilitated by remote manufacturing. Manufacturers considering reshoring with a push-pull production strategy can use this model to evaluate the potential of remote manufacturing and formulate reshoring policies that can ensure sustained profitability.
590 $a School code: 0160.
650 4 $a Industrial engineering. $3 526216
650 4 $a Applied mathematics. $3 2122814
650 4 $a Systems science. $3 3168411
653 $a Offshore manufacturing
653 $a Supply chain dynamics
653 $a Remote manufacturing
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690 $a 0454
690 $a 0364
690 $a 0790
710 2 $a Northeastern University. $b Mechanical and Industrial Engineering. $3 1035359
773 0 $t Masters Abstracts International $g 83-03.
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