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A composite method to compare countries to ascertain supply chain success : case of USA and India
Gershon, Mark E.; Rajashekharaiah, Jagadeesh - In: International journal of information systems and supply … 3 (2010) 3, pp. 66-79
Persistent link: https://www.econbiz.de/10008652511
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A composite method to compare countries to ascertain supply chain success : case of USA and India
Gershon, Mark E.; Rajashekhar, Jagadeesh - In: Information technologies, methods, and techniques of …, (pp. 311-324). 2012
Persistent link: https://www.econbiz.de/10009782238
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A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method-DEMATEL
Tseng, Minglang; Wu, Kuo-Jui; Ma, Li; Kuo, Tsai Chi; … - In: Technological forecasting & social change : an … 144 (2019), pp. 524-533
Persistent link: https://www.econbiz.de/10012134162
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Assessing CSR practices for supply chain performance system using fuzzy DEMATEL approach
Tyagi, Mohit; Kumar, Dinesh; Kumar, Pradeep - In: International journal of logistics systems and management 22 (2015) 1, pp. 77-102
Persistent link: https://www.econbiz.de/10011456109
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Modelling and analysis of a four stage supply chain under fuzzy environment
Hemalatha, S.; Rao, K. Narayana; Rambabu, G.; … - In: International journal of enterprise network management 9 (2018) 2, pp. 75-90
Persistent link: https://www.econbiz.de/10011961487
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A robust replenishment model for deteriorating items considering ramp-type demand and inflation under fuzzy environment
Sharma, Archana; Sharma, Usha; Chaman Singh - In: International journal of logistics systems and management 28 (2017) 3, pp. 287-307
Persistent link: https://www.econbiz.de/10011857462
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Controlling powder deposition process using Fuzzy Logic Systems
Wang, Kesheng; Akangah, Paul; Yuan, Qingfeng - In: Knowledge enterprise: intelligent strategies in product …, (pp. 881-886). 2006
Persistent link: https://www.econbiz.de/10003408344
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Multi-echelon supply chain network design in fuzzy environment
Subbaiah, K. Venkata; Kandukuri, N. R.; Raju, Ch.; … - 2011
Persistent link: https://www.econbiz.de/10009719416
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Supply chain management : modelling the enablers using ISM and fuzzy MICMAC approach
Gorane, S. J.; Kant, Ravi - In: International journal of logistics systems and management 16 (2013) 2, pp. 147-166
Persistent link: https://www.econbiz.de/10010222777
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Who affects who? : oil price against the stock return of oil-related companies : evidence from the U.S. and China
Lv, Xin; Lien, Da-hsiang Donald; Yu, Chang - In: International review of economics & finance : IREF 67 (2020), pp. 85-100
Persistent link: https://www.econbiz.de/10012485709