2018
DOI: 10.1007/s10479-018-2981-1
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A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains

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Cited by 98 publications
(79 citation statements)
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References 130 publications
(173 reference statements)
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“…In addition, Day et al (2012) found that humanitarian supply chain coordination is often a matter of life or death, while effective coordination in traditional consumer goods supply chains is a matter of profit or loss. Finally, in humanitarian supply chains, there is increased reliance on partnering among independent parties who may have no prior working relationship (Dubey et al 2017;Venkatesh et al 2018). Given the pressures and uncertainty with migrant networks, organizations need to focus on managing these unique supply chain constraints to ensure high levels of agility.…”
Section: Dynamic Pressures In Migration Networkmentioning
confidence: 99%
“…In addition, Day et al (2012) found that humanitarian supply chain coordination is often a matter of life or death, while effective coordination in traditional consumer goods supply chains is a matter of profit or loss. Finally, in humanitarian supply chains, there is increased reliance on partnering among independent parties who may have no prior working relationship (Dubey et al 2017;Venkatesh et al 2018). Given the pressures and uncertainty with migrant networks, organizations need to focus on managing these unique supply chain constraints to ensure high levels of agility.…”
Section: Dynamic Pressures In Migration Networkmentioning
confidence: 99%
“…Next, this study is based on single case study which restricts its generalization across the industry. Although, there are various studies followed similar approach in literature in similar situation (Kumar and Garg, 2017;Kumar and Rahman, 2017;Venkatesh et al, 2018;Govindan et al, 2017). For the purpose of generalization, the proposed priority ranking can be assessed rom multiple case studies.…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…Rating of a MoU can be achieved by using AHP combined with TOPSIS that has been found a valuable hybrid method [64][65][66]. The combination of AHP-TOPSIS has been proven a robust solution when a group of experts lacks knowledge on a subject or information is not sufficient [55,67,68].…”
Section: Application Of Topsismentioning
confidence: 99%