A Multiobjective Optimization Approach for Multiobjective Hybrid Flowshop Green Scheduling with Consistent Sublots

Round 1

Reviewer 1 Report

 

Research gaps have not been clearly highlighted. Many studies have been conducted on this type of problem in the past. In terms of the solution method, there are many efficient multi-objective metaheuristics in the literature. This study could employ these methods.

To show the research gaps systematically, the authors should provide a table that summarises various aspects of the available papers in the literature.

The problem statement section does not mention some notations.

The literature review missed many studies, particularly those that investigated energy and green factors in flow shops, see:

Fernandez-Viagas, Victor, Bruno de Athayde Prata, and Jose M. Framinan. "A critical-path based iterated local search for the green permutation flowshop problem." Computers & Industrial Engineering (2022): 108276.

Lu, Chao, et al. "A Pareto-based collaborative multi-objective optimization algorithm for energy-efficient scheduling of distributed permutation flow-shop with limited buffers." Robotics and Computer-Integrated Manufacturing 74 (2022): 102277.

Gu, Wenbin, et al. "An energy-efficient multi-objective permutation flow shop scheduling problem using an improved hybrid cuckoo search algorithm." Advances in Mechanical Engineering 13.6 (2021): 16878140211023603.

or refer to this review paper:

Neufeld, Janis S., Sven Schulz, and Udo Buscher. "A systematic review of multi-objective hybrid flow shop scheduling." European Journal of Operational Research (2022).

Figures 1 to 3 need to be revised. The information they provide is unclear.

To evaluate the proposed method, please use appropriate statistical tests and metrics. The following papers may be useful for this topic.

Gharib, Zahra, et al. "Developing an integrated model for planning the delivery of construction materials to post-disaster reconstruction projects." Journal of Computational Design and Engineering 9.3 (2022): 1135-1156.

Gharib, Zahra, et al. "Post-Disaster Temporary Shelters Distribution after a Large-Scale Disaster: An Integrated Model." Buildings 12.4 (2022): 414.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

1.This paper mentions less about the current status of the study, and it may be better if some appropriate additions are made.

2.In the introduction section, a more detailed summary of your innovative contribution might be better.

3.It might be better for this paper if the algorithm framework diagram was made more neat and pretty.

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

1. Some language and expressions in the manuscript are misleading. Language needs to be revised or proof-read by a native speaker.

2. It could be interesting to consider your proposal's computational time as a termination criterion compared to the other methods. Can you try to explain why time is used as the termination condition of the algorithm in plain language?

3. There are many constraints in the model.  How to deal with these constraints in the proposed method?

4. For the proposed method, the parameter settings are optimal in some sense.  It is not clear whether any such attempt was made for the algorithms used for comparisons or some random parameter settings were employed.  In the latter case, the comparison would be unfair.

5. If the problem can be formulated as an MILP problem and solved using GUROBI, why go for metaheuristics at all? The motivation for this is not clear. If computation times are the concern, they should be mentioned.

6. If MDABC is the main contribution of the paper, comparison should be with alternative methods of MDABC.

Author Response

Please see the attachment

Author Response File: Author Response.pdf