Sustainable Configuration of the Tunisian Olive Oil Supply Chain Using a Fuzzy TOPSIS-Based Approach

Round 1

Reviewer 1 Report

The motivation to research needs to be better explained in the introduction. Make a transition between the subsections Literature Overview and Objective of the Study. Korigovati citiranje u poglavlju Fuzzy TOPSIS method (Triantaphyllou and Lin, 1996). In Chapter Results it is necessary to better explain how the data were collected. How many farmers have been surveyed and need to find an average fuzzy membership function. Tables 3, 4 and 6 are unnecessary. The data from Table 4 are presented in Table 5. The data from Table 6 are presented in Table 7. Write the economic, environmental and social criteria in the criteria. In the discussion section, it is necessary to compare the results with similar studies. In conclusion, state what should be further investigated in future studies.

Author Response

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Author Response File: Author Response.pdf

Reviewer 2 Report

Agricultural production of olive oil is a sector with high significance. The olive sector is a very important sector for several countries in the world, e.g., particularly for Tunisia. Besides, the impacts of olive oil production and extraction on the economic, environmental, and social issues are considerable. The paper is well written scientific work, where authors have to eliminate some shortcomings. The main objective of the work was to propose a better configuration of Tunisian olive oil supply chain from a SD perspective. The proposed approach consists of applying a fuzzy TOPSIS method as a multi-criteria approach. As I mentioned before some aspects must be improved. The list of comments is the following:
1. In the introduction section, there is twice subsection 1.2
2. In the introduction (subsection 1.3) should be added one or more paragraphs on the selection and justification fuzzy approach and TOPSIS technique, e.g, Generalised framework for multi-criteria method selection, A new approach to identifying a multi-criteria decision model, Are MCDA methods benchmarkable? a comparative study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II methods, Fuzzy model identification using monolithic and structured approaches in decision problems with partially incomplete data or similar.
It is very important to show why this method is used
3. Eq (3) the root should be correctly written
4. I suggest in Figure 1 put flowchart instead logogram word
5. In section 3.1, a small flowchart can be helpful
6. In the conclusion section, some information about future research directions should be added.

Author Response

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Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

The authors have corrected the paper in accordance with previous reviews and now the paper is good and should be accepted.

Reviewer 2 Report

The authors have responded to all my comments. I believe that the article is ready to be accepted.