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~subject:"Multikriterielle Entscheidungsanalyse"
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Multikriterielle Entscheidungsanalyse
India
42
Indien
40
Lieferkette
15
Supply chain
15
Agricultural and Food Policy
8
AHP approach
7
AHP-Verfahren
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Performance-Messung
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Performance measurement
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green supply chain management
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AHP
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Lean Production
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Balanced Scorecard
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Betriebliches Informationssystem
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Capital income
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Fuzzy sets
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Fuzzy-Set-Theorie
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Homeownership
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Impact assessment
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Kapitaleinkommen
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Kfz-Industrie
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Lean production
4
Multi-criteria analysis
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Prognoseverfahren
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Schätzung
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Stahlindustrie
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Kumar, Sanjay
4
Haleem, Abid
2
Garg, Dixit
1
Joshu, Deepa
1
Kumar, Vikas
1
Kumar, Y. V. Satya
1
Luthra, Sunil
1
Malhotra, Vasdev
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Qadi, Mohammed Asim
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Singh, Bhim
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European journal of operational research : EJOR
1
International journal of logistics systems and management
1
International journal of process management and benchmarking : IJPMB
1
International journal of productivity and quality management : IJPQM
1
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ECONIS (ZBW)
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A framework for comparative evaluation of lean performance of firms using fuzzy TOPSIS
Kumar, Sanjay
;
Singh, Bhim
;
Qadi, Mohammed Asim
;
Kumar, …
- In:
International journal of productivity and quality …
11
(
2013
)
4
,
pp. 371-392
Persistent link: https://www.econbiz.de/10009745042
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2
Interval-valued intuitionistic hesitant fuzzy Choquet integral based TOPSIS method for multi-criteria group decision making
Joshu, Deepa
;
Kumar, Sanjay
- In:
European journal of operational research : EJOR
248
(
2016
)
1
,
pp. 183-191
Persistent link: https://www.econbiz.de/10011434749
Saved in:
3
To find the suitability of CMS in Indian industries in comparison of other manufacturing system using AHP technique
Kumar, Sanjay
;
Malhotra, Vasdev
;
Kumar, Vikas
- In:
International journal of process management and …
10
(
2020
)
3
,
pp. 367-381
Persistent link: https://www.econbiz.de/10012254502
Saved in:
4
Comparative evaluation of GSCM practices in automotive components manufacturing firms of India : a fuzzy TOPSIS approach
Luthra, Sunil
;
Kumar, Sanjay
;
Garg, Dixit
;
Haleem, Abid
- In:
International journal of logistics systems and management
25
(
2016
)
3
,
pp. 358-390
Persistent link: https://www.econbiz.de/10011665243
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