2004
DOI: 10.1007/s00170-003-1891-8
|View full text |Cite
|
Sign up to set email alerts
|

Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system

Abstract: Virtual integration (VI) offers a way to make manufacturing systems more agile and competitive. VI integrates the production resources of many manufacturing systems (partners) efficiently, and that leads to a rapid response to market changes. Based on the VI concept these partners throughout the world will form a virtual enterprise (VE). Thus to select partners is the essential and the most important issue. The main objective of this paper is to develop a partner selection and productiondistribution planning w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
27
0
1

Year Published

2007
2007
2018
2018

Publication Types

Select...
5
3
2

Relationship

0
10

Authors

Journals

citations
Cited by 58 publications
(29 citation statements)
references
References 22 publications
1
27
0
1
Order By: Relevance
“…Nevertheless, it is the synthesis of MAUT with AHP that offers significant benefits in the preferences' assessment, as discussed by Dyer (1990) and corroborated by several applications, such as (Poyhonen 2001), (Sohn, Yang and Kang 2001), (Crossman 2011), (Abu Dabous 2010, (Sha and Che 2005) and (Tarek and Elsayed 2013).…”
Section: Analytic Hierarchy Processmentioning
confidence: 93%
“…Nevertheless, it is the synthesis of MAUT with AHP that offers significant benefits in the preferences' assessment, as discussed by Dyer (1990) and corroborated by several applications, such as (Poyhonen 2001), (Sohn, Yang and Kang 2001), (Crossman 2011), (Abu Dabous 2010, (Sha and Che 2005) and (Tarek and Elsayed 2013).…”
Section: Analytic Hierarchy Processmentioning
confidence: 93%
“…It is, however, a useful tool to define the problem, consider a large number of attributes, communicate value, identify differences and similarities between various stakeholders' points of view and aggregate them [133], [134], [135], [136], [137], [138]. Nevertheless, it is the synthesis of MAUT with AHP that provides significant benefits in the preferences' assessment, as suggested by Dyer [131], and has been successfully demonstrated in several applications, [139], [140], [141], [142], [143], [144], [145]. The application of the NPV has been demonstrated by Dragos et al [147] for the evaluation of a spacecraft, by Nickel [148] in the evaluation of a Transportation domain project, by Castagne et al [97] within a aircraft fuselage panels VDD framework, by Cheung et al [96] for the design of a propulsion system and in the value modelling of a space system by [99].…”
Section: Analytic Hierarchy Processmentioning
confidence: 99%
“…It is however used for defining the problem, considering a large number of attributes, communicating value, identifying differences and similarities between various stakeholders' points of view and aggregating them as presented in [28], [39], and [8]. Nevertheless, it is the synthesis of MAUT with AHP that offers significant benefits in the preferences' assessment, as suggested by Dyer [14], and corroborated by several applications [40], [13], [42].…”
Section: Analytic Hierarchy Processmentioning
confidence: 99%