TY - JOUR
T1 - Strategic logistics outsourcing in humanitarian supply chain: a fuzzy AHP approach
AU - Roh, S
AU - Jang, H-M
PY - 2018/12/12
Y1 - 2018/12/12
N2 - This research paper investigates an under-researched topic, logistics outsourcing decision issue in the humanitarian supply chain outsourcing environment. Specifically, this research aims to identify the important factors for selecting third-party logistics(3PL) service providers in a humanitarian supply chain. This is based on literature review and interviews from logistics managers in a humanitarian sector which was evaluated with a multiple-criteria decision-making(MCDM) method called the analytical hierarchy process(AHP) under fuzzy environment. Through the use of the AHP, the relative importance of individual criteria was determined. Fuzzy-theory application of the linguistic values handles the vagueness and subjectivity of decisions. The findings of this research offer managerial insight and implication related to the use of a 3PL in the humanitarian supply chain environment to identify the possible optimal providers using a robust MCDM framework.
AB - This research paper investigates an under-researched topic, logistics outsourcing decision issue in the humanitarian supply chain outsourcing environment. Specifically, this research aims to identify the important factors for selecting third-party logistics(3PL) service providers in a humanitarian supply chain. This is based on literature review and interviews from logistics managers in a humanitarian sector which was evaluated with a multiple-criteria decision-making(MCDM) method called the analytical hierarchy process(AHP) under fuzzy environment. Through the use of the AHP, the relative importance of individual criteria was determined. Fuzzy-theory application of the linguistic values handles the vagueness and subjectivity of decisions. The findings of this research offer managerial insight and implication related to the use of a 3PL in the humanitarian supply chain environment to identify the possible optimal providers using a robust MCDM framework.
UR - https://pearl.plymouth.ac.uk/context/pbs-research/article/1193/viewcontent/2019_20__20Strategic_20Logistics_20Outsourcing_20in_20HSC_20Fuzzy_20AHP_20_Roh_20and_20Jang__20__20KJL.pdf
U2 - 10.15735/kls.2018.26.4.007
DO - 10.15735/kls.2018.26.4.007
M3 - Article
VL - 26
JO - Korean Journal of Logistics
JF - Korean Journal of Logistics
IS - 4
ER -