The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2007
DOI: 10.1016/j.cie.2006.11.006
|View full text |Cite
|
Sign up to set email alerts
|

An application of AHP and sensitivity analysis for selecting the best slicing machine

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
98
0
5

Year Published

2011
2011
2020
2020

Publication Types

Select...
5
3
2

Relationship

1
9

Authors

Journals

citations
Cited by 216 publications
(116 citation statements)
references
References 13 publications
0
98
0
5
Order By: Relevance
“…[ [35][36][37][38] Client certification Dynamic acceptance Brand appraisal Precision of equipment Industrial safety specifications Differences in equipment between Taiwan and overseas countries/regions Maximum load of equipment Reliability…”
Section: Information Factorsmentioning
confidence: 99%
“…[ [35][36][37][38] Client certification Dynamic acceptance Brand appraisal Precision of equipment Industrial safety specifications Differences in equipment between Taiwan and overseas countries/regions Maximum load of equipment Reliability…”
Section: Information Factorsmentioning
confidence: 99%
“…For evaluating and ranking potential suppliers (LEVARY, 2008), selecting the best machine (CHANG et al, 2007) and transportation fuels (POH; ANG, 1999). Revisions on its applications throughout the years can be seen in Ho (2008), Liberatore and Nydick (2008) and in Vaidya and Kumar (2006), whose studies also cite the use of the AHP jointly with mathematical programming and other multicriteria tools such as Fuzzy Theory and Multi-Attribute Utility Theory (MAUT).…”
Section: Description and Analysis Of The Km Approachmentioning
confidence: 99%
“…Fuzzy theory (FT) has been employed to solve multiple criteria problem [5], which has the advantage to deal with vagueness, uncertainty and interdependence simultaneously. The weighted fuzzy assessment method is presented using fuzzy AHP and fuzzy logic approach through dealing with expert knowledge [6].…”
Section: Introductionmentioning
confidence: 99%