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A Framework to Aid Decision Making for Smart Manufacturing Technologies in Small-and Medium-Sized Enterprises.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A Framework to Aid Decision Making for Smart Manufacturing Technologies in Small-and Medium-Sized Enterprises./
作者:	Bhatia, Purvee.
面頁冊數:	1 online resource (110 pages)
附註:	Source: Masters Abstracts International, Volume: 83-02.
Contained By:	Masters Abstracts International83-02.
標題:	Industrial engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28643504click for full text (PQDT)
ISBN:	9798535510958

A Framework to Aid Decision Making for Smart Manufacturing Technologies in Small-and Medium-Sized Enterprises.
Bhatia, Purvee.

A Framework to Aid Decision Making for Smart Manufacturing Technologies in Small-and Medium-Sized Enterprises. - 1 online resource (110 pages)

Source: Masters Abstracts International, Volume: 83-02.

Thesis (M.S.M.E.)--University of South Florida, 2021.

Includes bibliographical references

The fourth industrial revolution or Industry 4.0 has changed today's manufacturing scenario. The transition to smart manufacturing technologies has been evolving over the last few years and has recently accelerated due to the pandemic. The need to make manufacturing systems agile, adaptive, resilient, and robust has expediated the adoption and implementation of smart manufacturing technologies. Despite the interest of manufacturers in smart manufacturing, the adoption rate has been slow due to the lack of decision-making tools that can provide a clear strategic roadmap for effective execution. Small and medium sized enterprises (SMEs) are especially slow in adoption due to the narrow breadth of technological and financial infrastructure and lack of a tailored approach. This research aims to provide the framework for decision making to enable and escalate the adoption of smart manufacturing technologies in SMEs by providing visibility of smart and sustainable technology alternatives with respect to key manufacturing criteria. A multi criteria decision making technique (MCDM) called fuzzy Technique for Order of preference by Similarity to Ideal Solution (TOPSIS) is employed to provide clarity in terms of value of these technologies to help manufacturers frame a roadmap for future adoption at a large-scale factory setting. A smart manufacturing use case is investigated in the later part of the research due to its low rate of adoption as observed from the literature and the results obtained from the MCDM framework. The feasibility of using digital imagery to determine the surface roughness and edge dimension of 3-D printed parts is investigated to promote the use of automated part quality detection in large-scale manufacturing. The decision-making tool ultimately aims to provide a means for evaluating a large range of smart manufacturing technologies while considering the status quo.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798535510958Subjects--Topical Terms:

526216
Industrial engineering.
Subjects--Index Terms:

Additive ManufacturingIndex Terms--Genre/Form:

542853
Electronic books.

A Framework to Aid Decision Making for Smart Manufacturing Technologies in Small-and Medium-Sized Enterprises.
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