A trapezoidal type-2 fuzzy MCDM method to identify and evaluate critical success factors for humanitarian relief logistics management

Abstract

Disaster and humanitarian logistics are one of the most important subjects for a country to take care about. It is possible to increase the performance of humanitarian relief logistics management processes by several planning and prevention activities. This paper's main contribution is identifying and then evaluating the success factors which are critical for effective management of humanitarian relief logistics operations. Therefore, an effective method that combines type-2 fuzzy sets, which provide additional degrees of freedom to present the uncertainty and the fuzziness of the real world, and analytic hierarchy process, is proposed to sustain a realistic evaluation. It is aimed that, the proposed method will be used by governmental and non-governmental organizations to improve their HRLM activities and strategies.

Potential applications of unmanned ground and aerial vehicles to mitigate challenges of transport and logistics-related critical success factors in the humanitarian supply chain

“…The concept of CSF has been thoroughly applied in different circumstances in supply chain management, operational management, organizational management, and enterprise resource management (Celik et al 2014). According to (Oloruntoba 2010) "CSFs are the conditions, characteristics, or variables that when properly cultivated, sustained, maintained or managed can have a significant impact on the success of a company or its endeavor."…”

A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains

“…As noted above, because the business environment within which humanitarian supply chains operate changes, as a result of many factors, solving real-time problems with MCDM involves qualitative and quantitative factors with multiple objectives (Bhutta and Huq 2002;Çebi and Bayraktar 2003;Ramanathan 2007;Chai et al 2013). Recent studies acknowledge the importance of MCDM to explore issues related to humanitarian supply chains, however Gultjahr and Nolz (2016) highlight the difficulty of bringing such techniques closer to practical application (Celik et al 2014;Celik and Gumus 2015;Abidi et al 2015;Roh et al 2015;Ju et al 2015). MCDM can help practitioners to appreciate the trade-offs, priority factors, multiple conflicting goals and supplier strengths and weaknesses, thereby improving humanitarian supplier selection decisions (Wang et al 2009;Shaw et al 2012;Bozorgi-Amiri et al 2013).…”

Multi‐attribute group decision‐making methods based on q‐rung orthopair fuzzy linguistic sets

“…; however, the evaluation value of the alternative A 2 under the attribute C 1 is 〈 〉 s , (0.9, 0.5) 3 , and ≥ 0. 9 + 0.…”

“…Now, suppose other corresponding data remain unchanged, and the third DM change the evaluation values of the suppliers A 2 and A 3 under the attribute C 1 from 〈 〉 s , (0.9, 0.5) 3 and 〈 〉 s , (0.9, 0.6) 5 to 〈 〉 s , (0.9, 0.3) 3 and 〈 〉 s , (0.9, 0.4) 5 , respectively. Then the evaluation values of the supplier under the attribute all satisfy the conditional limit of ≤ ≤ μ x ν x 0 ( ( )) + ( ( )) 1…”