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subject:"Automotive industry"
~person:"Ahmad, Md Tanweer"
~subject:"Multi-criteria analysis"
~type_genre:"Aufsatz in Zeitschrift"
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Automotive industry
Multi-criteria analysis
Fuzzy sets
2
Fuzzy-Set-Theorie
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Lieferantenbewertung
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Multikriterielle Entscheidungsanalyse
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Supplier evaluation
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Automobilzulieferindustrie
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Erdölindustrie
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Erdölraffinerie
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Fuzzy TOPSIS
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Group decision-making
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Gruppenentscheidung
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India
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Lieferantenmanagement
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Lieferkette
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MCGDM
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Oil industry
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Oil refinery
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Petrochemical industry
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Petrochemische Industrie
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Petroleum refining sector
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Stochastic fuzzy TOPSIS
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Supplier relationship management
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Supply chain
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Sustainable vendor selection
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automotive company
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changing-criteria
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fuzzy TOPSIS
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sensitivity analysis
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supplier selection
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Aufsatz in Zeitschrift
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Ahmad, Md Tanweer
Raut, Rakesh D.
6
Mahapatra, Siba Sankar
5
Parthiban, P.
5
Saen, Reza Farzipoor
5
Barnes, David
4
Datta, Saurav
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Govindan, Kannan
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Ho, William
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Mahdiloo, Mahdi
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Tavana, Madjid
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Wu, Chong
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Akhtar, Mohammad
3
Awasthi, Anjali
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Carpinetti, Luiz Cesar Ribeiro
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Chakraborty, Shankar
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Ghodsypour, S. H.
3
Ishizaka, Alessio
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Jolai, Fariborz
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Kaur, Harpreet
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Khan, Sharfuddin Ahmed
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Kumanan, Somasundaram
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Rajakarunakaran, Sivaprakasam
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Raut, Rakesh Dulichand
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Rezaei, Jafar
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Sahu, Anoop Kumar
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Singh, Surya Prakash
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Talluri, Srinivas
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Zavadskas, Edmundas Kazimieras
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Zubar, H. Abdul
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Ahmadizadeh-Tourzani, Neda
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Amir Hossein Azadnia
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Antuchevičienė, Jurgita
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Arvidsson, Ala
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Baležentis, Tomas
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Bhalotia, Abhishek
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Bhandari, Gokul
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Bhasin, Harsh V.
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Benchmarking : an international journal
1
International journal of logistics systems and management
1
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ECONIS (ZBW)
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A stochastic fuzzy multi-criteria group decision-making for sustainable vendor selection in Indian petroleum refining sector
Akhtar, Mohammad
;
Ahmad, Md Tanweer
- In:
Benchmarking : an international journal
29
(
2022
)
3
,
pp. 963-996
Persistent link: https://www.econbiz.de/10013041184
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2
Supplier selection model under changing criteria environment
Ahmad, Md Tanweer
;
Mondal, Sandeep
- In:
International journal of logistics systems and management
33
(
2019
)
1
,
pp. 97-125
Persistent link: https://www.econbiz.de/10012055529
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