Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies

Srihari Jaganathan; Jinson J. Erinjeri; Jun-ing Ker

doi:10.1007/s00170-006-0446-1

Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies

Srihari Jaganathan
, Jinson J. Erinjeri
, Jun-ing Ker

Engineering and Technology Management

Louisiana Tech University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	The International Journal of Advanced Manufacturing Technology
Volume	32
Issue number	11
DOIs	https://doi.org/10.1007/s00170-006-0446-1
State	Published - Apr 23 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Disciplines

Computer Sciences
Engineering

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10.1007/s00170-006-0446-1License: Unspecified

Cite this

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title = "Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies",

author = "Srihari Jaganathan and Erinjeri, \{Jinson J.\} and Jun-ing Ker",

note = "Srihari Jaganathan Jinson J. Erinjeri Jun-ing Ker Manufacturing organizations often make complex decisions in regards to investment in new manufacturing technologies (NMT). These NMT are assessed based on attributes such as flexibility, quality etc., which are hard to quantify. This fact calls upon the need for a structured decision support systems that can adequately represent qualitative and subjective assessments.",

year = "2007",

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doi = "10.1007/s00170-006-0446-1",

language = "American English",

volume = "32",

journal = "The International Journal of Advanced Manufacturing Technology",

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T1 - Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies

AU - Jaganathan, Srihari

AU - Erinjeri, Jinson J.

AU - Ker, Jun-ing

N1 - Srihari Jaganathan Jinson J. Erinjeri Jun-ing Ker Manufacturing organizations often make complex decisions in regards to investment in new manufacturing technologies (NMT). These NMT are assessed based on attributes such as flexibility, quality etc., which are hard to quantify. This fact calls upon the need for a structured decision support systems that can adequately represent qualitative and subjective assessments.

PY - 2007/4/23

Y1 - 2007/4/23

UR - https://link.springer.com/article/10.1007%2Fs00170-006-0446-1

U2 - 10.1007/s00170-006-0446-1

DO - 10.1007/s00170-006-0446-1

M3 - Article

VL - 32

JO - The International Journal of Advanced Manufacturing Technology

JF - The International Journal of Advanced Manufacturing Technology

IS - 11

ER -

Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies

UN SDGs

Disciplines

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