A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties

Round 1

Reviewer 1 Report

This paper proposes a flexible robust possibility programming approach to formulate a biogas supply chain network design problem. Generally, this paper is similar to many biogas supply chain networks under uncertainty where Babazadeh or Pishvaee are popular researchers in the field. I cannot feel a significant contribution to your problem like sustainability criteria, routing decisions, discount suppositions and so on which can be added to your problem to create a significant contribution to the field.

Since there are many uncertain approaches in the literature, I suggest to highlight your contribution to the problem settings. Which part of your problem is new?

The complexity of supply chain network design models must be analyzed where an innovative and intelligent solution may be useful.

When you have one sub-section in a section, you can merge it. Sub-section 2.1 must be merged with Section 2.

The literature review ignores many relevant articles from high-quality researchers like Tavakkoli-Moghaddam, Mirzapour Al-e-hashem, and Fathollahi-Fard. For example, the following relevant articles on the supply chain network design are ignored by the authors:

 Soleimani, H., Chhetri, P., Fathollahi-Fard, A. M., Mirzapour Al-e-Hashem, S. M. J., & Shahparvari, S. (2022). Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations, and heuristics. Annals of Operations Research, 1-26.

Seydanlou, P., Jolai, F., Tavakkoli-Moghaddam, R., & Fathollahi-Fard, A. M. (2022). A multi-objective optimization framework for a sustainable closed-loop supply chain network in the olive industry: Hybrid meta-heuristic algorithms. Expert Systems with Applications, 117566.

Fathollahi-Fard, A. M., Dulebenets, M. A., Hajiaghaei–Keshteli, M., Tavakkoli-Moghaddam, R., Safaeian, M., & Mirzahosseinian, H. (2021). Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty. Advanced Engineering Informatics, 50, 101418.

As such, you may need to review the relevant articles on the logistics planning of municipal waste management by these authors.

There is no need to add sub-sections for sets, parameters, and decision variables.

Your paper did not contribute to the environmental and social criteria. Why do you highlight the economic objective function?

The authors must provide a clear and small numerical example to validate the proposed model. Please, justify the feasibility of your optimization model.

The conclusion must address your findings, limitations, and recommendations. One paragraph is not enough.

 

 

Author Response

Dear reviewer,

Please see the attachment.

Thank you

Author Response File: Author Response.pdf

Reviewer 2 Report

The authors developed a second-generation based biogas supply15
chain network design (BG-SCND) model. The research is interesting; however, I have a few minor suggestions to improve the article's quality:

I think this article should be revised in terms of some technical detail. I will give in more detail below.

1.      There are many grammatical and spelling mistakes throughout the article. The article should be thoroughly reviewed, and errors should be corrected.

2.      The literature review is inadequate and should be revised to focus on biogas supply chain design rather than biogas generation.

3.      It is recommended to include a table that examines comparable works in the area of biogas supply chain design and the optimization methodologies utilized, followed by a comparison of the present findings to the literature.

4.      Section 3.1 should be included in the Nomenclature and positioned at the beginning or end of the article.

5.      Flowchart diagram of the optimization method should be included.

1.      How to avoid suboptimality in biogas -network-design problems?

Author Response

Dear reviewer,

Please see the attachment.

Thank you

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The paper has been revised significantly. It can be accepted for publication. 

Author Response

"Please see the attachment."

Author Response File: Author Response.docx