Presenting a Multi-Objective Model based on Quality Function Deployment for Choosing Effectiveness Strategies in the Humanitarian Supply Chain

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objective

Humanitarian operations begin quickly with disasters to save lives, reduce the suffering of the injured and meet their needs. Appropriate strategies and solutions should be used to help the injured. In this regard, this paper aims to provide a hybrid approach to select effective strategies in the humanitarian supply chain.

Methods

In this study, firstly the needs of the injured were identified and categorized, and then the weight of each one was obtained using Fuzzy SWARA technique. Then, a combination of QFD approach and multi-objective modeling was used to select strategies to meet the needs of the injured. The epsilon-constraint method and GAMS software were used to solve the multi-objective model.

Results

The needs of earthquake victims in the country were identified and classified into five categories: food needs, hygienic, mental health, housing and living facilities. The results showed that the need for nutrition and food, evacuation of the affected groups from the accident site and access to drinking water are the most important needs of the victims during the earthquake. To help victims, 14 strategies were divided into three categories: strategies related to construction, infrastructure improvement, and strengthening relief processes.

Conclusion

In order to reduce the damage during an earthquake, light materials should be used in construction, the culture of lightening should be strengthened, and at the same time, the awareness of people in using durable materials should be promoted. Also, worn-out water, electricity and gas systems should be developed and integration should be between them. In addition, the improved communication system, and inventory management and evacuation location should be strengthened during relief efforts.

Language:
Persian
Published:
Journal of Industrial Management, Volume:12 Issue: 38, 2021
Pages:
462 to 484
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