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International journal of production economics
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Managerial multiple objective optimization
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ECONIS (ZBW)
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A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multi-criteria decision making
Yayla, Adile Yesim
;
Oztekin, Asil
;
Gumus, Alev Taskin
; …
- In:
International journal of production research
53
(
2015
)
20
,
pp. 6097-6113
Persistent link: https://www.econbiz.de/10011421749
Saved in:
2
Service supply chain environmental performance evaluation using grey based hybrid MCDM approach
Chithambaranathan, P.
;
Subramanian, Nachiappan
; …
- In:
International journal of production economics
166
(
2015
),
pp. 163-176
Persistent link: https://www.econbiz.de/10011334032
Saved in:
3
An integrated Delphi-MCDM-Bayesian Network framework for production system selection
Dohale, Vishwas
;
Gunasekaran, Angappa
;
Akarte, Milind
; …
- In:
International journal of production economics
242
(
2021
),
pp. 1-17
Persistent link: https://www.econbiz.de/10012695892
Saved in:
4
Brand resonance score for CBBE model : an application in financial services
Ande, Raja Ambedkar
;
Gunasekaran, Angappa
;
Murugesan, …
- In:
Benchmarking : an international journal ; BIJ
24
(
2017
)
6
,
pp. 1490-1507
Persistent link: https://www.econbiz.de/10011743486
Saved in:
5
Third party logistics (3PL) selection for cold chain management : a fuzzy AHP and fuzzy TOPSIS approach
Singh, Rajesh K.
;
Gunasekaran, Angappa
;
Kumar, Pravin
- In:
Managerial multiple objective optimization
,
(pp. 531-553)
.
2018
Persistent link: https://www.econbiz.de/10011897048
Saved in:
6
A multi-product and multi-period aggregate production plan : a case of automobile component manufacturing firm
Dohale, Vishwas
;
Ambilkar, Priya
;
Gunasekaran, Angappa
; …
- In:
Benchmarking : an international journal
29
(
2022
)
10
,
pp. 3396-3425
Persistent link: https://www.econbiz.de/10014231768
Saved in:
7
COVID-19 and supply chain risk mitigation : a case study from India
Dohale, Vishwas
;
Verma, Priyanka
;
Gunasekaran, Angappa
; …
- In:
The international journal of logistics management
34
(
2023
)
2
,
pp. 417-442
Persistent link: https://www.econbiz.de/10014281148
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