Multi-Attribute Decision Making
Mehdi Ajalli; Nima Saberifard; Babak Zinati
Abstract
Purpose: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, ...
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Purpose: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, evaluating the indicators and explaining the relationship between them using path analysis approach and decision-making techniques of Fuzzy DEMATEL and SWARA and outline future research opportunities to measure performance in humanitarian logistics.Methodology: Performance measurement in humanitarian logistics is considered as one of the basic elements of successful humanitarian operations at operational, tactical and strategic levels. The main purpose of this research is to identify and to extract key performance indicators in humanitarian logistics, evaluating the indicators and explaining the relationship between them using path analysis approach and decision-making techniques of Fuzzy DEMATEL and SWARA and outline future research opportunities to measure performance in humanitarian logistics.Findings: The final finding of relationship analysis showed that "donation to delivery time" is the most influential indicator in terms of influencing other indicators. Finally, considering the sensitivity of ranking these indicators in terms of importance, the opinions of 20 experts and decision-making techniques SWARA used. The final output of this technique indicates the extraction of the fourth functional index i.e. "evaluation accuracy includes: speed and accuracy of committed donation and relief items delivered to stakeholders and how to assess the needs of stakeholders by employees" with the highest weight in the first rank as the most important functional indicator of humanitarian logistics and the second functional index i.e. "donation time includes "The delivery time of relief items in the country of destination after a donation and the collective remembrance of the donation" is important in the last rank.Originality/Value: In this study, performance indicators in humanitarian logistics were evaluated and ranked using a combined approach of path analysis and decision-making techniques (fuzzy DEMATEL and SWARA) and based on the research results, executive and research proposals were presented.
supply chain management analyzing/modelling
Javid Ghahremani Nahr; Mehrnaz Bathaee
Abstract
Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to ...
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Purpose: In this paper, a humanitarian logistics network is designed considering the purchase contract in conditions of uncertainty. Due to the importance of such networks in the event of unforeseen events, the designed model seeks to determine the central and local warehouses as well as shelters to transport the injured. Also, determining the optimal amount of inventory and the correct way of transferring items and injured are other network decisions. In this article, the contract for purchasing items before and after the accident is concluded with suppliers in order to supply raw materials to the severity of the accident.Methodology: Due to the uncertainty in the model, the robust optimization method is used to control the uncertainty, and due to the NP-Hardness of the model, the new Gray Wolf-Genetics Algorithm (GGWA) is used to solve the model.Findings: The results show that contract operation has reduced the costs of the entire humanitarian logistics network. The comparison of the means of the objective function and the computational time shows the high speed of the GGWA algorithm in finding near-optimal solutions compared to the PSO and GA algorithms.Originality/Value: In this paper, a new model of humanitarian supply chain network has been designed, which has obtained very favorable results from the problem using the GGWA algorithm in the shortest time.