Optimising the Distribution of Multi-Cycle Emergency Supplies after a Disaster
Round 1
Reviewer 1 Report
This paper aims to solve a multi-objective optimization problem about distributing disaster relief resources to the affected areas. It considers a comprehensive set of objectives and constraints and the aim about people centered design is very interesting. In addition, the paper provided a modified genetic algorithm to better solve the multi-objective optimization problem.
Two things might worth consider:
1. Present the metric about the thing spent using different algorithms.
2. While the temporal trend is analyzed and the spatial trend is partially included by considering the road conditions, it would be better to consider whether affected places can be expanded from time to time. In disaster like earthquake or flood, the affected sites might be changing in time.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
Assumptions stated in 3.1 do not match with the discussions in the last section.
Case Experiment and analysis considers hypothetical data based on imaginary situation and is used to validate the study.The authors should used real life data based on some actual incident.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Reviewer 3 Report
Although there is a big amount of literature on this specific research problem, the authors highlighted the reasons behind the necessity to investigate some gaps in the literature. An adequate justification to conduct this study is provided. Furthermore, the research problem is clearly stated in the framework. It is very good that you provide the assumptions that need to be met to apply your study providing a concrete research framework. In the limitation of this study, you should mention that the research is focused on the mentioned conditions leaving space for other researchers to investigate the problem under other conditions and assumptions. Although you suggested the application of fuzzy theory in the case of dynamically changing situations of post-disaster demand, so this can be accepted as the proposal for further studies in this field. I will not share comments on the methodology since I am not fully familiar with NSGA-II algorithm. However, I carefully read this and found a very comprehensive elaboration of findings especially by applying the model to the specific scenario.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
The authors have carried out the corrections and modifications suggested by reviewers meticulously. The paper can now be accepted for publication.
Author Response
Please see the attachment.
Author Response File: Author Response.pdf
