Search Results - person:"Hatefi, S. M."

A slack analysis framework for improving composite indicators with applications to human development and sustainable energy indices

Hatefi, S. M.; Torabi, Ali - In: Econometric reviews 37 (2018) 1/5, pp. 247-259

Persistent link: https://www.econbiz.de/10012038605

An enhanced possibilistic programming approach for reliable closed-loop supply chain network design

Torabi, S. A.; Namdar, J.; Hatefi, S. M.; Jolai, F. - In: International journal of production research 54 (2016) 5/6, pp. 1358-1387

Persistent link: https://www.econbiz.de/10011495230

Multi-criteria ABC inventory classification with mixed quantitative and qualitative criteria

Hatefi, S. M.; Torabi, S. A.; Bagheri, P. - In: International journal of production research 52 (2014) 3, pp. 776-786

Persistent link: https://www.econbiz.de/10010254842

ABC inventory classification in the presence of both quantitative and qualitative criteria

Torabi, S.A.; Hatefi, S.M.; Saleck Pay, B. - In: Computers & industrial engineering : CAIE ; an … 63 (2012) 2, pp. 530-538

Persistent link: https://www.econbiz.de/10009980977

A common weight MCDA-DEA approach to construct composite indicators

Hatefi, S. M.; Torabi, S. A. - In: Ecological economics : the transdisciplinary journal of … 70 (2010) 1, pp. 114-120

Persistent link: https://www.econbiz.de/10009241807

A common weight MCDA-DEA approach to construct composite indicators

Hatefi, S.M.; Torabi, S.A. - In: Ecological Economics 70 (2010) 1, pp. 114-120

A common weight multi criteria decision analysis (MCDA)-data envelopment analysis (DEA) approach is proposed to construct composite indicators (CIs). The proposed MCDA-DEA model enables the construction of CIs among all entities via a set of common weights. The model is capable to discriminate...

Persistent link: https://www.econbiz.de/10008870470