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~person:"Chang, Pei-chann"
~person:"Garza-Reyes, Jose Arturo"
~subject:"Industry 4.0"
~subject:"Künstliche Intelligenz"
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Industry 4.0
Künstliche Intelligenz
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Instandhaltung
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Manufacturing industries
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Scheduling problem
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Scheduling-Verfahren
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Total productive maintenance
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Kreislaufwirtschaft
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Lead time
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Maintenance 4.0
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Nachhaltige Entwicklung
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Production control
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Produktionssteuerung
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Recycling
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SME
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Sensitivity analysis
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Social sustainability
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Sustainable development
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Chang, Pei-chann
Garza-Reyes, Jose Arturo
Agrawal, Rajat
3
Samadhiya, Ashutosh
3
Kumar, Anil
2
Luthra, Sunil
2
Chen, Shih-hsin
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Chiappetta Jabbour, Charbel José
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Fan, Chin-yuan
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Mani, V.
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Annals of operations research
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The TQM journal : the international review of organizational improvement
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The international journal of logistics management
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ECONIS (ZBW)
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Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems
Chang, Pei-chann
;
Chen, Shih-hsin
;
Fan, Chin-yuan
;
Mani, V.
-
2010
Persistent link: https://www.econbiz.de/10008729346
Saved in:
2
Integrating Industry 4.0 and Total Productive Maintenance for global sustainability
Samadhiya, Ashutosh
;
Agrawal, Rajat
;
Garza-Reyes, Jose …
- In:
The TQM journal : the international review of …
36
(
2024
)
1
,
pp. 24-50
Persistent link: https://www.econbiz.de/10014460707
Saved in:
3
Total productive maintenance and Industry 4.0 in a sustainability context : exploring the mediating effect of circular economy
Samadhiya, Ashutosh
;
Agrawal, Rajat
;
Luthra, Sunil
; …
- In:
The international journal of logistics management
34
(
2023
)
3
,
pp. 818-846
Persistent link: https://www.econbiz.de/10014281290
Saved in:
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