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Personal protective assembles protect searchers and rescuers from potential hazards when they enter the earthquake disaster field. Since the earthquake rescue work is risky and complicated, the corresponding protective clothing should meet with the protective, functional and comfort performance demands. The purpose of this paper is to discuss the design principles of this kind of protective clothing and present a design model based on the principles.

In this study, the requirements of the protective clothing were investigated in terms of environment, human and clothing. Then the design principles were analyzed by the hierarchy method in four aspects: protection, comfort, ergonomics and compatibility. Design approaches were also investigated in accordance with the design principles in three hierarchies.

Key design points were summarized in the selection of the shell fabrics and linings, clothing styles, constructions and specifications. Also, the overall design methodology of the protective clothing for earthquake rescue members was established.

This paper provided a theoretical basis and design model for the development of earthquake search and rescuers’ clothing.

The ergonomic performance of protective clothing for earthquake disaster search and rescue team members is significant for its protective performance. The paper aims to discuss these issues.

By experimental simulations of the rescue tasks, an evaluation system for the protective clothing in both static and dynamic conditions was designed and established in this study. In static evaluation, motion capture system was used to measure the ranges of motions. The mobility was analyzed by the comprehensive evaluation method. In dynamic experiments, three types of rescue tasks were simulated for ergonomic evaluation. The results were analyzed based on the multi-levels joint evaluation method.

It was shown that the established evaluation system could meet well with the requirements of the ergonomic evaluation.

Fuzzy comprehensive evaluation method is an effective tool in ergonomic evaluation of clothing. The newly designed coverall and suit are of better ergonomic performance compared with the in-service clothing.

The literature available on how communities deal with mass death, in particular body handling procedures, is sparse. Describes the actions of the various people involved in the immediate aftermath of the Halifax (Nova Scotia) 1917 explosion. Also, but in less detail, examples the Rapid City flood, the Gander air crash, the Zeebrugge ferry disaster, the Tangsham earthquake, the Texas City explosion and the Kobe earthquake. Highlights the problems of handling bodies after a mass fatality incident: respect accorded to the dead individual; whether skilled individuals are there to take on the tasks, the tagging and identification procedures required and the setting up of temporary morgue facilities.

Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.

A new model is developed to pursue the necessary relations in an optimal way that will minimize human, financial and moral losses. In this developed model, in order to optimize the problem and minimize the amount of human and financial losses, the following subjects have been applied: magnitude of the areas in which an accident may occur as obtained by multiple attribute decision-making methods, the distances between relief centers, the number of available rescuers, the number of rescuers required and the risk level of each patient which is determined using previous data and machine learning (ML) algorithms.

For this purpose, a case study in the east of Tehran has been conducted. According to the results obtained from the algorithms, problem modeling and case study, the accuracy of the proposed model is evaluated very well.

Obtaining each injured person's priority using ML techniques and each area's importance or risk level, besides developing a bi-objective mathematical model and using multiple attribute decision-making methods, make this study unique among very few studies that concern ML in the humanitarian supply chain. Moreover, the findings validate the results and the model's functionality very well.