Flexible Job Shop Scheduling Optimization for Green Manufacturing Based on Improved Multi-Objective Wolf Pack Algorithm
Round 1
Reviewer 1 Report
Manuscript Number: applsci-2484932-peer-review-v1
Title: Research on green manufacturing flexible job shop scheduling optimization based on improved multi objective wolf swarm algorithm
The focus of the study is on a green Flexible Job Shop Scheduling Problem (FJSP). Firstly, a multi-objective flexible job shop scheduling model with transportation constraints is established, which takes the maximum completion time and total energy consumption as the optimization objectives. Secondly, an improved wolf swarm algorithm is proposed. Thirdly, the Pareto solution set is selected by grey relational decision analysis method and analytic hierarchy process to obtain the optimal scheduling scheme. Finally, the proposed algorithm is compared with other algorithms through a variety of standard examples.
There is not enough novelty in the current version of the paper. It is not precise enough to have a clear explanation of the problem and its analysis afterward. Please see my comments below.
- To begin with, the title should be more precise. Please remove the word “Research on” since all papers are results of research.
- The figures and tables should be revised. Figure 6 has never been addressed in the body of the paper. In addition, the captions of, for example, Figure 6 and Figure 7 are not informative. When authors say “Figure 7. algorithm flow chart”, what algorithm they are referring to? I believe that they should imply the name of the algorithm.
Figure 8 also have “machine code” and “processing time” on Y and X axis. First, replace “processing time” with “time”. Is it Ok? Second, I could not recognise where the jobs are in this Gantt chart. The boxes should be coloured to show each job with one specific colour.
- After reviewing the manuscript, I could not figure out what is the benefit of adding Analytic Hierarchy Process (AHP) to the solution method. It contains three parts: the ultimate goal or problem you’re trying to solve, all of the possible solutions, called alternatives, and the criteria you will judge the alternatives on. AHP provides a rational framework for a needed decision by quantifying its criteria and alternative options, and for relating those elements to the overall goal. However, I think authors should clearly explain the reason of choosing AHP for a job shop type scheduling problem.
- A paragraph should be added to the end of Section 1 to show the roadmap of the paper. It should briefly say what each of Sections 2 to 5 is about. This will help readers to know about materials of each section in advance.
- Table 1 shows Parameters and variables as mentioned in its heading. The table is Ok, but please also divide notation into Parameters and variables inside the table.
- The paper is about multi-objective shop scheduling. For the sake of generality, a couple of references on green flowshops with energy concerns should be addressed. I suggest briefly citing the following relevant paper: Energy-Efficient Hybrid Flow-Shop Scheduling under Time-of-Use and Ladder Electricity Tariffs, Appl. Sci. 2022, 12(13), 6456. The impact of various carbon reduction policies on green flowshop scheduling, Applied Energy, vol. 249, pp. 300-315
- Other errors:
Page 4: In Figure. 1, which represents --> In Figure 1, which represents
Page 5: Figure.1 Energy consumption --> Figure 1. Energy consumption
Page 6: Where equation (6) indicates --> Where Equation (6) indicates
…
The manuscript requires a proofread.
The manuscript requires a proofread.
Author Response
Please see the attachment.
Author Response File: 
Author Response.docx
Reviewer 2 Report
In this article, the multi-objective Flexible Job Shop Scheduling Problem is discussed. The multi-objective Wolf Pack Algorithm (MOWPA) has been proposed to solve the problem.
Studies in the literature should be increased.
The contribution of the study to the literature should be clearly stated.
The article may be published with minor editing.
Author Response
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Author Response File: Author Response.docx
Reviewer 3 Report
Please see the attached review report.
Comments for author File: 
Comments.pdf
Minor editing is required at some places, as mentioned in the review report.
Author Response
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Author Response File: Author Response.docx
Reviewer 4 Report
Very interesting and innovative approach to improvement of multi objective wolf swarm algorithm. I would suggest minor revisions to authors which is to provide the limitations of this approach in the conclusion section. Once the authors add the limitations, the paper can be published.
Author Response
Please see the attachment.
Author Response File: Author Response.docx
Round 2
Reviewer 1 Report
After a revision, I can observe that the paper can explore the multi-objective flexible job shop scheduling problem considering transportation time and energy consumption. All my comments are resolved, and so the paper can be accepted as it is. The organization and quality of the paper are improved.
