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~person:"Mukherjee, Indrajit"
~person:"Tu, Yiliu"
~subject:"Prozessmanagement"
~subject:"Theorie"
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Prozessmanagement
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Qualitätsmanagement
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7
Mathematische Optimierung
7
Bayes-Statistik
6
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6
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Produktqualität
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Mukherjee, Indrajit
Tu, Yiliu
Bruhn, Manfred
25
Antony, Jiju
21
Jochem, Roland
11
Tuominen, Kari
11
Zink, Klaus J.
11
Devadasan, S. R.
9
Wiele, Ton van der
9
Winzer, Petra
9
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8
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8
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7
Meffert, Heribert
7
Pecht, Michael
7
Wagner, Karl Werner
7
Wildemann, Horst
7
Wu, Chien-wei
7
Yang, Kai
7
Zollondz, Hans-Dieter
7
Adam, Patricia
6
Benkenstein, Martin
6
Dale, Barrie G.
6
Garza-Reyes, Jose Arturo
6
Gharbi, Ali
6
Jaritz, André
6
Moormann, Jürgen
6
Rothlauf, Jürgen
6
Abowd, John M.
5
Ahsen, Anette von
5
Boyer, Kenneth K.
5
Carriquiry, Miguel
5
Celano, Giovanni
5
Costa, Antonio Fernando Branco
5
Fischer, Thomas M.
5
Geers, Dennis
5
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International journal of production research
6
International journal of quality & reliability management
3
European journal of operational research : EJOR
2
International journal of productivity and quality management : IJPQM
2
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ECONIS (ZBW)
13
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1
An efficient adaptive r-MD multivariate single control chart for nonlinear multiple quality characteristics
Maji, Arijit
;
Mukherjee, Indrajit
- In:
International journal of production research
62
(
2024
)
3
,
pp. 784-822
Persistent link: https://www.econbiz.de/10014457615
Saved in:
2
An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics
Maji, Arijit
;
Mukherjee, Indrajit
- In:
International journal of quality & reliability management
40
(
2023
)
2
,
pp. 419-454
Persistent link: https://www.econbiz.de/10013535690
Saved in:
3
A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes
Sharma, Abhinav Kumar
;
Mukherjee, Indrajit
;
Bera, Sasadhar
- In:
International journal of production research
61
(
2023
)
13
,
pp. 4322-4340
Persistent link: https://www.econbiz.de/10014381423
Saved in:
4
Economic quality design under model uncertainty in micro-drilling manufacturing process
Han, Yunxia
;
Tu, Yiliu
;
Ouyang, Linhan
;
Wang, Jianjun
; …
- In:
International journal of production research
60
(
2022
)
3
,
pp. 1086-1104
Persistent link: https://www.econbiz.de/10013170416
Saved in:
5
A robust multiobjective solution approach for mean-variance optimisation of correlated multiple quality characteristics
Sharma, Abhinav Kumar
;
Mukherjee, Indrajit
;
Bera, Sasadhar
- In:
International journal of quality & reliability management
39
(
2022
)
9
,
pp. 2205-2232
Persistent link: https://www.econbiz.de/10013398133
Saved in:
6
A novel approach for non-normal multi-response optimisation problems
Wang, Jianjun
;
Tu, Yanan
;
Ma, Yan
;
Ouyang, Linhan
;
Tu, Yiliu
- In:
International journal of production research
59
(
2021
)
23
,
pp. 7194-7215
Persistent link: https://www.econbiz.de/10012697492
Saved in:
7
Simultaneous multi-response optimisation for parameter and tolerance design using Bayesian modelling method
Wang, Jianjun
;
Mao, Ting
;
Tu, Yiliu
- In:
International journal of production research
59
(
2021
)
8
,
pp. 2269-2293
Persistent link: https://www.econbiz.de/10012501253
Saved in:
8
Advances in solution methods for optimisation of multiple quality characteristics in manufacturing processes
Bera, Sasadhar
;
Mukherjee, Indrajit
- In:
International journal of productivity and quality …
24
(
2018
)
4
,
pp. 475-494
Persistent link: https://www.econbiz.de/10011924277
Saved in:
9
An integrated approach for multivariate statistical process control using Mahalanobis-Taguchi System and Andrews function
Sikder, Sagar
;
Panja, Subhash Chandra
;
Mukherjee, Indrajit
- In:
International journal of quality & reliability management
34
(
2017
)
8
,
pp. 1186-1208
Persistent link: https://www.econbiz.de/10011754331
Saved in:
10
A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability
Wang, Jianjun
;
Ma, Yizhong
;
Ouyang, Linhan
;
Tu, Yiliu
- In:
European journal of operational research : EJOR
249
(
2016
)
1
,
pp. 231-237
Persistent link: https://www.econbiz.de/10011435814
Saved in:
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