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Journal of Industrial & Management Optimization
Article . 2019 . Peer-reviewed
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An integrated Principal Component Analysis and multi-objective mathematical programming approach to agile supply chain network design under uncertainty

An integrated principal component analysis and multi-objective mathematical programming approach to agile supply chain network design under uncertainty
descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2019 English Publisher:American Institute of Mathematical Sciences (AIMS)Journal:Journal of Industrial & Management Optimization, volume 15, pages 855-879 (issn: 1553-166X, Copyright policy )
Authors: Moradi, Azam; Razmi, Jafar; Babazadeh, Reza; Sabbaghnia, Ali;

doi: 10.3934/jimo.2018074

An integrated Principal Component Analysis and multi-objective mathematical programming approach to agile supply chain network design under uncertainty

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Keywords

Transportation, logistics and supply chain management, Applications of mathematical programming, principal component analysis, agile supply chain, Fuzzy and other nonstochastic uncertainty mathematical programming, uncertainty, fuzzy multi-objective programming, Multi-objective and goal programming, mathematical programming

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
gold