Optimization of Intelligent Maintenance System in Smart Factory Using State Space Search Algorithm
Round 1
Reviewer 1 Report
Comments and Suggestions for AuthorsPlease refer to the attachment.
Comments for author File: Comments.pdf
Author Response
Dear Reviewer
Thank you very much for taking the time to review this manuscript. Please find the detailed responses in attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf
Reviewer 2 Report
Comments and Suggestions for AuthorsPlease find the review comments
Comments for author File: Comments.pdf
Please find the review comments
Author Response
Dear Reviewer
Thank you very much for taking the time to review this manuscript. Please find the detailed responses in attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf
Reviewer 3 Report
Comments and Suggestions for AuthorsThis research introduces an intelligent maintenance system (IMS) for smart factories, optimized with a state space search (SSS) algorithm. The IMS integrates IIoT sensors, CMMS, and FMEA to reduce unplanned downtime (UPDT) and optimize costs. I have the following comments.
1. What is the primary contribution of your work to the field?
2. What is the biggest difference between the contributions of this work and existing intelligent maintenance systems? Please specific it clearly.
3. What challenges will you face when incorporating quantum computing into IMS?
4.Please add a comparison table to highlight the benefits of the proposed IMS over traditional systems, including metrics such as cost savings and downtime reduction.
5. The SSS algorithm explanation could include more details the decision-making process for readers less familiar with AI-based maintenance.
Author Response
Dear Reviewer
Thank you very much for taking the time to review this manuscript. Please find the detailed responses in attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf
Reviewer 4 Report
Comments and Suggestions for Authors1)Some Figures and Tables are not enough clear, and it should be revised.
2)Some state space search algorithms are Introduced in the manuscript in Section 1.1.3. What are the similar and dissimilar properties should be conclulded.
3) The parameters and equations are not standard.
4) The most challenge in the smart factory should be highlighted.
5) More details for the examples should be illurastrated.
Author Response
Dear Reviewer
Thank you very much for taking the time to review this manuscript. Please find the detailed responses in attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf
Reviewer 5 Report
Comments and Suggestions for AuthorsThe paper in question deals with the interesting issue of predictive maintenance from a lowest-cost-possible standpoint. It makes for an interesting read but it i have observed some faults in the work, as follows:
Dear authors,
Your paper might benefit from addressing the following points:
1. Some figures (1, 2, 3, 5 etc) are of very poor resolution and contain very small text. Only option to reading these is maximum zoom. I suggest editing these images
2. Page 4 contains the text "Unsuccessful Planned Events" - is this a subtitle?
3. There are clear differences in formatting, see linespaces on page 4 and other pages
4. You need to better organize your work, the paper is very hard to follow. On page 6 you start discussing AI and numbering items as 1, 2 etc. This is part of an already exisiting chapter 1.
From a logic standpoint, while your work does present an interesting approach to the subject, i have not found any statement related to how your approach affects a factory's throughput.
I consider that your work would benefit greatly from such a discussion. At the heart of predictive maintenance is the idea of lowering downtime in time-critical manufacturing. Your idea, while indeed interesting, needs to assess how your algorithm might lead to bigger overall issues, such as the effect of not servicing certain components in due time, which might even mean lower working hours for other parts!
There is also a point to be made about certain manufacturers not agreeing to supplying parts if they are not used for a maximum amount of time, etc.
Looking forward to your response.
Author Response
Dear Reviewer
Thank you very much for taking the time to review this manuscript. Please find the detailed responses in attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf
Round 2
Reviewer 1 Report
Comments and Suggestions for AuthorsI have no more questions.
Author Response
Dear Reviewer
I appreciate your comments and valuable suggestions. I will strive to further improve my academic work.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Reviewer 4 Report
Comments and Suggestions for AuthorsThe comments are carefully responsed, and it could be accepted for publication.
Author Response
Dear Reviewer
I appreciate your comments and valuable suggestions. I will strive to further improve my academic work.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Reviewer 5 Report
Comments and Suggestions for AuthorsDear authors,
I appreciate your efforts to better explain your work. However, from my standpoint, some of the modifications made to the paper are insufficient.
As such:
1. Text in images needs to be zoomed in at over 160%-170%, even 200% in some cases, making it very difficult to read the paper. Why will you not just increase the size of the figures?
2. Even zoomed in, figure 2 is of very low resolution, almost impossible to make out the text
3. Regarding "Unsuccessful Planned Events" maybe i was not clear enough: Is this intended to be a subchapter? Why are the words "Unsuccessful Planned Events" on a single line? How is it different as formatting from line 223: "Informed Search Algorithms:"
4. You missed my point: your article's current table of contents is:
1. Introduction
1.1. Literature Review on Available Solutions
1.1.1. Unplanned downtime
1.1.2. Intelligent Maintenance System (IMS)
1.1.3. State Space Search Algorithms
1. Depth-First Search
2. Breadth-First Search
1. Greedy search
2. A* Search:
1.1.4. Failure Mode and Effects Analysis (FMEA)
1.2. Objectives and Research Framework
1.2.1. Objectives
5. Titles, subtitles, etc, should be formatted differently. There are places in the paper (see row 121-122) where the subtitle blends in with the rest of the text and one might miss it entirely
6. Finally, the elephant in the room: Regarding your results: where is your data from? How is this validated? How are your simulations performed? Are these simulations? You state that "a new intelligent maintenance system". How is it implemented?
Please answer the above questions.
Thank you
Author Response
Dear Reviewer
I appreciate your comments and valuable suggestions. I have provided the answers in the attached files.
Sincerely,
Corresponding Author
MR.NUTTAWAN THONGTAM
Ph.D. (Candidate)
Technopreneurship and Innovation Management Program (TIP)
Graduate School, Chulalongkorn University
Chaloem Rajakumari 60 Building
(Chamchuri 10 Building),10th Floor,
Soi Chula 12, Phayathai Road, Phatumwan, Bangkok, 10330 Thailand
Tel: +66-0851405600
e-mail: 6381027520@student.chula.ac.th
Author Response File: Author Response.pdf