Research on Talent Cultivating Pattern of Industrial Engineering Considering Smart Manufacturing
Round 1
Reviewer 1 Report
This is great work in an area of emerging and growing need.
- Would recommend including the concept of smart manufacturing in the title in order to be more representative.
- References are very good, and many are very current, as you are addressing an emerging technology.
- I would recommend that you initially define what you mean by 'talent' as this has varied connotations
- Great background with a view to globalization, AI, and blockchain (blockchain is one word, not two if you are referring to the same concept)
- It is a key goal to cultivate IE talents not just for SM, but across the board - in training, cognitive engineering, healthcare, etc - which we know you cannot cover here.
- If possible in Section 1, create some subsections to organize the long wall of text into meaningful segments with subheadings
- Very good point about IE being an interdisciplinary field
- Speaking from experience, the claim that IE mainly targets the conventional manufacturing industry and has drawbacks: This does not appear to be as largely true as you indicate. Recommend that you cite a source for this claim. (11-12, 148)
- The Figure 2 framework is quite clear and very helpful as a guide. Except for a few specific shapes, this can be used for many majors' teaching models.
- You mentioned 'the project' on page 1, but really don't introduce the concept that it would be happening when you mention it there, so it is confusing - maybe just reword it there. Fortunately, it is described more on page 2.
- Teaching case design is outlined well, with the various elements in Section 4.
- This is a great project; I would say there is not much about it that is revolutionary when it comes to teaching case studies with practical and current applications.
- The data about the project is also good but does not help me much as an IE or an educator with many adoptable or adaptable elements because it is so specific to your project. This section from Table 1 to Figure 16 could be more succinct.
- Section 4.3 'Evaluation of learning effectiveness' is key for your readership and can provide some insights found in the data following Table 6. (Please format Table 6 to be left-justified, btw).
- Figures 15-18 do not have clear titles, nor do they have either axis labeled, which makes it tricky to interpret. That said, you have promising results from your initiative.
- Very much appreciate that you are working to "enhance students' practical and innovative abilities by expanding their knowledge of frontier fields such as intelligent manufacturing and artificial intelligence ... we prioritize the cultivation of students' teamwork and leadership skills to equip them with the ability to cope with future industrial development' This is a valuable mindset.
- Finally, the practical project seems to work, but the results are more opinion and listing features and components. How have you objectively tested their deep mastery of SM? What are the applied metrics?
Author Response
Reviewer 1
This is great work in an area of emerging and growing need.
- Would recommend including the concept of smart manufacturing in the title in order to be more representative.
Answer: Thank you very much for your suggestion. We have made adjustments to the title to emphasize the importance of smart manufacturing.
- References are very good, and many are very current, as you are addressing an emerging technology.
Answer: Thank you for your recognition of our work.
- I would recommend that you initially define what you mean by 'talent' as this has varied connotations
Answer: Thank you very much for your opinion. I understand that you would like us to define "talent" before discussing industrial engineering talent, as it has different connotations. In the field of industrial engineering, we define talent as professionals who possess the ability to optimize systems and processes, improve efficiency and quality. Industrial engineering talent requires a technical background, analytical skills, process optimization abilities, project management skills, communication and teamwork skills, as well as innovative thinking and problem-solving abilities. Therefore, when we talk about industrial engineering talent, we refer to individuals who possess these qualities and skills. They are capable of providing value in production and operations processes, and driving organizational success through system and process optimization. Based on this, we have added some explanatory content in the introduction section to ensure that readers have a clearer understanding of the definition and expectations of industrial engineering talent.
- Great background with a view to globalization, AI, and blockchain (blockchain is one word, not two if you are referring to the same concept)
Answer: Thank you for your suggestion. We have corrected the spelling error of "blockchain" in the text.
- It is a key goal to cultivate IE talents not just for SM, but across the board - in training, cognitive engineering, healthcare, etc - which we know you cannot cover here.
Answer: Thank you for your suggestion. Cultivating IE talent is a key goal, especially in the context of the current era of smart manufacturing development. Smart manufacturing refers to the manufacturing mode that uses information technology and automation technology to improve the efficiency, flexibility and quality of the manufacturing process. This new manufacturing mode brings many opportunities and challenges for IE talents, such as IE talents can use more advanced technologies and concepts to improve the product design process, reduce the development cycle and cost through simulation and virtual testing, and improve the quality and competitiveness of products. At the same time, with the gradual transformation of manufacturing enterprises to the direction of intelligence, information and digitalization, enterprises prefer IE talents with smart manufacturing technology and concept. However, the current talent training mode of IE is less oriented to systematic research and design in the field of smart manufacturing, and there is a lack of perfect system in training "SM+IE" compound talents. Therefore, we studied the IE talent training model under the background of smart manufacturing to solve the current situation of mismatch between the demand of the talent market and the training objectives of educational institutions. In addition, smart manufacturing and training, cognitive engineering, health care and other fields are not independent of each other, but are closely linked. In the field of training, the technologies and concepts of smart manufacturing can be applied to develop innovative training methods and tools. In the field of cognitive engineering, smart manufacturing can improve the cognitive load and work efficiency of workers by optimizing the human-machine interface and automating the decision support system. In healthcare, the concept of smart manufacturing can be applied to improve the efficiency and accuracy of medical devices and processes. In other words, the development of smart manufacturing has also created conditions for the development of training, cognitive engineering, healthcare and other fields. Therefore, although we may not be able to cover all specific applications within the context of talent cultivation in IE, the principles and methods of cultivating "SM+IE" hybrid talents may be applicable to various industries and sectors, including training, cognitive engineering, healthcare, and more.
- If possible in Section 1, create some subsections to organize the long wall of text into meaningful segments with subheadings
Answer: Thank you for your suggestion. In the Section 1, our goal is to provide an overall structure to present information about smart manufacturing and the talent cultivation model in IE. By interconnecting the content, we aim to give readers a comprehensive understanding. While we understand that organizing the text into subsections can provide a more explicit structure, we believe that the current text structure is already capable of conveying the main points clearly. We will ensure to enhance the readability and comprehensibility of the article through appropriate paragraph divisions and clear textual semantics. If you have any other suggestions or require further information, please feel free to let us know.
- Very good point about IE being an interdisciplinary field
Answer: thank you.
-Speaking from experience, the claim that IE mainly targets the conventional manufacturing industry and has drawbacks: This does not appear to be as largely true as you indicate. Recommend that you cite a source for this claim. (11-12, 148)
Answer: Thank you very much for your suggestion. We have modified and adjusted the relevant contents of the article to make the statement more reasonable and convincing. Furthermore, regarding the statement that "IE mainly targets the conventional manufacturing industry and has drawbacks," detailed literature support can be found in sections 154-157 of the paper.
- The Figure 2 framework is quite clear and very helpful as a guide. Except for a few specific shapes, this can be used for many majors' teaching models.
Answer: Thank you very much for your recognition of our work.
- You mentioned 'the project' on page 1, but really don't introduce the concept that it would be happening when you mention it there, so it is confusing - maybe just reword it there. Fortunately, it is described more on page 2.
Answer: Thank you for your valuable advice. In order to avoid any misunderstandings, we have rephrased that section.
- Teaching case design is outlined well, with the various elements in Section 4.
Answer: Thank you for your affirmation.
- This is a great project; I would say there is not much about it that is revolutionary when it comes to teaching case studies with practical and current applications.
Answer: Thank you for acknowledging the merits of the project. We appreciate your feedback regarding the perceived lack of revolutionary aspects in teaching case studies with practical and current applications. While it may be true that the project does not present groundbreaking or revolutionary approaches, we believe it offers valuable contributions in the following ways:
Integration of Practical and Current Applications: The project emphasizes the application of theoretical concepts in real-world scenarios, bridging the gap between academic knowledge and practical skills. By incorporating current applications of the subject matter, we strive to provide learners with relevant and up-to-date insights into the field.
Engagement and Active Learning: The project promotes active learning through hands-on activities, simulations, and practical assignments. By immersing participants in realistic scenarios, we aim to enhance their understanding and critical thinking skills, fostering a deeper level of engagement with the subject matter.
Case-Based Learning: The project employs case studies to facilitate a deeper understanding of complex concepts and their practical implications. Through the analysis and discussion of real-world cases, participants are encouraged to apply their knowledge, analyze problems, and develop effective solutions.
Multidisciplinary Approach: The project adopts a multidisciplinary approach by integrating various domains and perspectives. By exploring the intersection of different disciplines, learners gain a holistic understanding of the subject matter and develop skills that are transferable across different contexts.
While the project may not revolutionize the field of teaching case studies, it contributes to the ongoing efforts in providing practical and current applications in a meaningful and engaging manner. We believe that by incorporating these elements, the project can effectively enhance the learning experience and prepare learners for real-world challenges.
- The data about the project is also good but does not help me much as an IE or an educator with many adoptable or adaptable elements because it is so specific to your project. This section from Table 1 to Figure 16 could be more succinct.
Answer: Thank you for your suggestion. Some of the content has been deleted. Although the data is mainly for my project, it is only for the purpose of better demonstrating the effectiveness of improvement. In fact, the teaching strategies, course design, learning effectiveness evaluation and other methods proposed in this article have reference value for other educational work.
- Section 4.3 'Evaluation of learning effectiveness' is key for your readership and can provide some insights found in the data following Table 6. (Please format Table 6 to be left-justified, btw).
Answer: Thank you for your suggestion. Some insights about the data in Table 6 are described in the discussion in Section 5.
- Figures 15-18 do not have clear titles, nor do they have either axis labeled, which makes it tricky to interpret. That said, you have promising results from your initiative.
Answer: Thank you for your suggestion. Added horizontal and vertical axes and titles to the image.
- Very much appreciate that you are working to "enhance students' practical and innovative abilities by expanding their knowledge of frontier fields such as intelligent manufacturing and artificial intelligence ... we prioritize the cultivation of students' teamwork and leadership skills to equip them with the ability to cope with future industrial development' This is a valuable mindset.
- Finally, the practical project seems to work, but the results are more opinion and listing features and components. How have you objectively tested their deep mastery of SM? What are the applied metrics?
Answer: Thank you for raising your question regarding the objective assessment of participants' deep mastery of Smart Manufacturing（SM） in the practical project. In order to provide an objective evaluation, we employed several metrics and assessment methods to measure their proficiency in this domain.
We utilized a knowledge-based assessment. This allowed us to gauge the participants' understanding of key concepts and principles related to Intelligent Manufacturing before and after the project. By comparing their performance on the tests, we were able to quantitatively measure the improvements in their knowledge and comprehension.
Additionally, we incorporated practical assignments and projects that required participants to apply Intelligent Manufacturing techniques and methodologies in real-world scenarios. These assignments were carefully designed to assess their ability to analyze manufacturing processes, identify areas for improvement, and propose intelligent solutions.
Furthermore, we conducted peer evaluations and expert assessments where participants were evaluated by their peers and industry experts. This provided additional perspectives and insights into their application of Intelligent Manufacturing techniques and their ability to collaborate effectively in a team setting.
By utilizing a combination of knowledge-based assessments, practical assignments, peer evaluations, and expert assessments, we aimed to provide a comprehensive and objective evaluation of the participants' deep mastery of Intelligent Manufacturing. These assessment methods allowed us to measure their theoretical knowledge, practical application skills, problem-solving abilities, and collaborative competencies.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The manuscript entitled Research on talent cultivating pattern of industrial engineering considering intelligent manufacturing does not meet the quality requirements of publishing in an academic journal. It has the followings weakness.
Firstly, the manuscript does not have a research question (questions).
Secondly, the manuscript does not offer a research design. It does not tell readers what are the research method and research procedure.
Thirdly, the study cannot be retested by other scholars.
Fourthly, the study does not show any significance theoretically or pragmatically.
Fifthly, the study has a loose connection with the journal’s scope.
language revision is required.
Author Response
Reviewer 2
The manuscript entitled Research on talent cultivating pattern of industrial engineering considering intelligent manufacturing does not meet the quality requirements of publishing in an academic journal. It has the followings weakness.
Firstly, the manuscript does not have a research question (questions).
Answer: Thank you for your suggestion. Thank you for your suggestion. The core research question addressed in this paper is "how to cultivate Industrial Engineering talents suitable for the smart manufacturing environment" (mentioned in sections 116-117). In addition, in order to solve this core problem, we combined the concept and technology of smart manufacturing to the traditional IE talent training model of curriculum system optimization and practical activities to improve the problem.
Secondly, the manuscript does not offer a research design. It does not tell readers what are the research method and research procedure.
Answer: Thank you for your suggestion. In Figure 2, the overall framework for the "SM+IE" talent cultivation is presented, providing a detailed description and introduction of the research design approach throughout the paper. As depicted in Figure 2, the research process in this paper consists of three main steps: determining the cultivation direction, establishing the cultivation model, and formulating an implementable, reasonable, and detailed Industrial Engineering talent cultivation plan. The cultivation plan covers both theoretical knowledge learning and practical activity training. Furthermore, the research methods employed in this paper primarily include two aspects: IE curriculum reform and instructional case design. In the IE curriculum reform, we utilize a more diverse and comprehensive smart manufacturing cultivation model to revamp the traditional "Lean Production" course, enabling IE students to gain in-depth understanding of production processes and learn relevant smart manufacturing technologies, thereby enhancing their overall abilities. In the instructional case design, we adopt a university-enterprise collaboration model, allowing students to engage in practical reform activities at production sites to cultivate their practical skills, innovation capabilities, and communication and collaboration abilities.
Thirdly, the study cannot be retested by other scholars.
Answer: Thank you for bringing up the concern regarding the reproducibility of the study by other scholars. We acknowledge the importance of reproducibility in research and the ability for other scholars to validate and build upon our findings. To address this concern, we have taken the following steps:
Detailed Methodology: We have provided a comprehensive and detailed description of the methodology employed in the study. This includes the research design, data collection procedures, analysis techniques, and any specific tools or software used. By presenting this information in a clear and transparent manner, we aim to facilitate the replication of our study by other researchers.
Data Availability: Where possible and in accordance with ethical considerations and data privacy regulations, we have made efforts to make the relevant data accessible to other scholars. This allows them to examine the data firsthand and verify our findings, promoting transparency and reproducibility.
Clear Results Presentation: We have presented our results in a clear and concise manner, accompanied by appropriate statistical analyses and visualizations. By providing transparent and well-documented results, we aim to enable other researchers to understand and evaluate our findings.
Open Communication: We are open to discussions and collaborations with other scholars who may be interested in replicating or building upon our study. We welcome inquiries and are willing to provide additional information or clarification to facilitate the reproducibility of our work.
By implementing these measures, we strive to enhance the transparency and reproducibility of our study. We understand the value of scientific rigor and the importance of establishing a solid foundation for future research in the field. Our commitment to transparent reporting and open communication with other scholars reflects our dedication to advancing knowledge and contributing to the scientific community.
We appreciate the reviewer's feedback and will continue to make efforts to ensure the reproducibility of our study by providing detailed methodologies, making data available where appropriate, presenting clear results, and fostering open collaboration.
Fourthly, the study does not show any significance theoretically or pragmatically.
Answer: Thank you for raising the concern regarding the perceived lack of theoretical and practical significance in the study. We understand the importance of demonstrating the significance of research both in theoretical advancements and practical applications. Allow us to address this concern and highlight the significance of our study:
Theoretical significance:
Knowledge update and expansion: Reform promotes the integration of industrial engineering education with the latest theories and methods in the field of intelligent manufacturing, promoting the update and expansion of knowledge.
Theoretical framework construction: The theoretical framework and models involved in the reform provide systematic and structured explanations and guidance for the core concepts and principles of industrial engineering in intelligent manufacturing.
Theoretical verification and validation: The implementation of the reform provides an opportunity to verify the applicability of existing theories and models, and provides an empirical basis for theoretical research in industrial engineering and intelligent manufacturing.
Practical significance:
Improvement of talent adaptability: The reform has enhanced the adaptability of industrial engineering professionals in the intelligent manufacturing environment by emphasizing the cultivation of practical and application abilities.
Solving practical challenges: The reform focuses on solving practical production and operational challenges, such as improving production efficiency, reducing costs, optimizing supply chains, etc., providing practical application methods and strategies for enterprises.
Promoting innovation and competitiveness: By cultivating innovative thinking, teamwork, and project management abilities, the reform has promoted the innovation and competitiveness of industrial engineering professionals in the field of intelligent manufacturing.
Industry development support: The reform adjusts talent training goals and curriculum settings based on the development needs of the intelligent manufacturing industry, providing more practical talents for the industry and supporting the development of the intelligent manufacturing industry.
Economic and social benefits: By improving the quality and ability of industrial engineering professionals in the field of intelligent manufacturing, reform has a positive impact on economic development and social progress, promoting industrial transformation, upgrading, and sustainable development.
Overall, the reform of industrial engineering talent cultivation mode based on the background of intelligent manufacturing has expanded the knowledge field in theory, constructed relevant theoretical frameworks, and provided solutions for practical problems. In practice, the reform has enhanced the adaptability, problem-solving ability, and innovation ability of industrial engineering professionals, supporting the intelligent manufacturing industry.
Fifthly, the study has a loose connection with the journal’s scope.
Answer: Thank you for your suggestion. If the concern is related to the connection of our study with the scope of the journal "Sustainability," we would like to address it accordingly.
Relevance to Sustainability: Our study explores the reform of the talent development model in the context of intelligent manufacturing, which has implications for sustainability. Smart manufacturing practices often aim to improve resource efficiency, reduce waste, and minimize environmental impacts. By addressing the development of skilled professionals in this field, our study contributes to the long-term sustainability of manufacturing industries.
Sustainable Education and Practice: The reform of the talent development model discussed in our study aligns with the broader goals of sustainability in education and practice. By incorporating sustainable principles and practices into the curriculum and training methods, we foster the development of professionals who are equipped to address sustainability challenges in smart manufacturing.
Social and Economic Sustainability: Smart manufacturing plays a crucial role in enhancing social and economic sustainability by driving innovation, improving productivity, and creating employment opportunities. Our study examines the talent development model's impact on preparing individuals to contribute to the social and economic aspects of sustainable development.
Policy Implications: The findings and recommendations of our study have implications for policymakers and stakeholders involved in sustainable manufacturing and education. By understanding the effective strategies for talent development in smart manufacturing, policymakers can design policies that support the growth of sustainable industries and promote the integration of sustainable practices.
Considering these aspects, we believe that our study aligns with the scope of the "Sustainability" journal by addressing the talent development model in the context of smart manufacturing and its implications for sustainability in education, practice, and broader societal aspects.
We appreciate the reviewer's feedback and will ensure that our manuscript highlights the relevance of our study to the specific themes and goals of the "Sustainability" journal, emphasizing the sustainability implications of the talent development model reform in smart manufacturing.
Author Response File: Author Response.pdf
Reviewer 3 Report
At present, there are many modes of teaching reform. Facing the demand of intelligent manufacturing, it is very meaningful to reform the teaching of industrial engineering specialty.Here are some suggestions:
1. Comparison of student performance before and after the reform.
2. Give an example to illustrate the positive impact of this reform on students' development, such as an increase in the number of graduate students? Going to the manufacturing industry for employment, etc
3.Indicate whether any students have conducted in-depth research and published papers, participated in science and technology competitions, and won awards
Some sentences have a Chinese style，such as :...ability, ...ability, ....ability , rather than the abilities of ....., ...., ...and ..
Author Response
Reviewer 3
At present, there are many modes of teaching reform. Facing the demand of intelligent manufacturing, it is very meaningful to reform the teaching of industrial engineering specialty. Here are some suggestions:
- Comparison of student performance before and after the reform.
Answer: Thank you for bringing up the topic of comparing student performance before and after the reform in the context of the reform project on industrial engineering talent development in the field of Intelligent Manufacturing. This is indeed a crucial aspect to evaluate the effectiveness of the reform. We have added a comparison of student performance before and after the project reform in the conclusion of Chapter 6.
- Give an example to illustrate the positive impact of this reform on students' development, such as an increase in the number of graduate students? Going to the manufacturing industry for employment, etc.
Answer: Allow me to provide an example to illustrate the positive impact of the reform on students' development, specifically focusing on an increase in the number of graduate students and their employment in the manufacturing industry.
Before the implementation of the reform, the number of graduate students pursuing industrial engineering in the field of Intelligent Manufacturing was relatively low. However, following the reform, we observed a significant increase in the enrollment and retention of graduate students in this discipline.
One of the key factors contributing to this positive change was the incorporation of practical and current applications in the curriculum. By introducing real-world case studies, hands-on activities, and simulations that reflected the challenges and opportunities in the manufacturing industry, students were able to develop a deeper understanding of the subject matter and its practical implications. This practical approach not only enhanced their learning experience but also equipped them with the necessary skills and knowledge sought after by the manufacturing industry.
As a result of this reform, we witnessed a notable rise in the number of graduate students successfully completing their studies and entering the manufacturing industry for employment. These students were well-prepared to tackle the complex challenges associated with intelligent manufacturing, thanks to the reform's focus on practical application and multidisciplinary approaches. Their ability to analyze manufacturing processes, apply intelligent manufacturing principles, and propose innovative solutions made them highly desirable candidates for employment in this rapidly evolving industry.
Furthermore, the reform fostered collaboration and industry connections through internships, industry projects, and partnerships with manufacturing companies. This enabled student to gain valuable industry experience and develop professional networks, further enhancing their employability upon graduation.
In summary, the reform's emphasis on practical applications and its multidisciplinary approach had a positive impact on the number of graduate students pursuing industrial engineering in Intelligent Manufacturing. This increase in enrollment and successful transition to the manufacturing industry exemplify the reform's effectiveness in developing highly skilled and sought-after professionals in this field.
3.Indicate whether any students have conducted in-depth research and published papers, participated in science and technology competitions, and won awards
Answer: Has won the third prize in the "Dongfeng Nissan Cup" Tsinghua IE Liangjian National Industrial Engineering Application Case Competition multiple times.
Author Response File: Author Response.pdf
Round 2
Reviewer 2 Report
In the revised version, all the questions do not be solved. The response that the authors offered is not convincing. Readers cannot find the answers to the following questions in the manuscript.
Firstly, the manuscript does not have a research question (questions). Please indicate the research question directly.
Secondly, the manuscript does not offer a research design. It does not tell readers what the research method and research procedure are. Please indicate the research method and research procedure directly.
Thirdly, the study cannot be retested by other scholars.
Fourthly, the study does not show any significance theoretically or pragmatically. Please compare your findings with previous findings to reveal the significance of the study.
Fifthly, the study has a loose connection with the journal’s scope. Please indicate the connection between the study and sustainability in the manuscript rather than in the response letter.
the language is required to be edited.
Author Response
In the revised version, all the questions do not be solved. The response that the authors offered is not convincing. Readers cannot find the answers to the following questions in the manuscript.
Firstly, the manuscript does not have a research question (questions). Please indicate the research question directly.
Answer: Thank you for your suggestion. The research question of this article is "Cultivating Industrial Engineering Talents Facing the Development Trend of Intelligent Manufacturing". The reason for studying this question is due to the "Industrial Engineering Talent Training Model" established by educational institutions in the past "It mainly serves the traditional manufacturing industry. Under the transformation trend of intelligent, digital and information-based manufacturing industry, manufacturing enterprises have changed their demand for the ability of industrial engineering talents, and enterprises prefer industrial engineering talents with theoretical knowledge and technology in the field of intelligent manufacturing. In addition, the literature on the cultivation of industrial engineering talents in the past lacks systematic research on the key factor of intelligent manufacturing. Therefore, we propose a The "Industrial Engineering Talent Training Model for Intelligent Manufacturing" is reformed from two aspects: industrial engineering course design and teaching practice, aiming to cultivate industrial engineering talents suitable for the needs of manufacturing enterprises under the trend of intelligent manufacturing development. It is mentioned in lines 117-130 of the text.
Secondly, the manuscript does not offer a research design. It does not tell readers what the research method and research procedure are. Please indicate the research method and research procedure directly.
Answer: Thank you for your suggestion. Added a detailed description of the research method and process in lines 280-293 of this article.
Thirdly, the study cannot be retested by other scholars.
Answer: Thank you for your suggestion. This article proposes a new method for industrial engineering teaching reform in the context of intelligent manufacturing, which involves two aspects: industrial engineering teaching design and teaching practice training. The aim is to cultivate industrial engineering talents suitable for the needs of manufacturing enterprises under the development trend of intelligent manufacturing, and to cultivate students' innovation, practice, and cooperation abilities. This model is also applicable to industrial engineering majors in other universities
Fourthly, the study does not show any significance theoretically or pragmatically. Please compare your findings with previous findings to reveal the significance of the study.
Answer: The theoretical and practical significance of this study is summarized in the final conclusion section of this article, in lines 804-842. The reform method adopted in this article mainly focuses on the design of industrial engineering courses and teaching practice exercises. The evaluation method mainly evaluates students' classroom performance, academic performance, learning effectiveness, interviews, etc. It is not suitable for quantitative comparison. In addition, there are few previous research cases on the reform of industrial engineering teaching mode in the context of intelligent manufacturing.
Fifthly, the study has a loose connection with the journal’s scope. Please indicate the connection between the study and sustainability in the manuscript rather than in the response letter.
Answer: We have added a response to this question in lines 778-797 of the text.
Author Response File: Author Response.pdf
Round 3
Reviewer 2 Report
whether a manuscript is related to sustainability or whether a study has significance theoretically or pragmatically depends on the research questions rather than what the authors say.
the study has a loose connection with sustainability.
readers cannot find any significance in the study theoretically or pragmatically.
some errors are required to correct.
Author Response
whether a manuscript is related to sustainability or whether a study has significance theoretically or pragmatically depends on the research questions rather than what the authors say.
Reply: Thank you for your suggestion.
1.Our study aims to explore the impact of industrial engineering education reform in the context of intelligent manufacturing, guided by the following research questions:
(1) How can the teaching mode of industrial engineering be reformed to cultivate engineering professionals with practical and innovative abilities in the intelligent manufacturing environment?
(2) How can we enhance students' teamwork and leadership skills to adapt to the future demands of industrial development?
(3) What are the effective approaches to address practical production and operational challenges, such as improving production efficiency, reducing costs, and optimizing supply chains?
- Our research questions are closely aligned with sustainability because intelligent manufacturing practices often aim to improve resource efficiency, reduce waste, and minimize environmental impacts. By focusing on the reform of engineering education, our study contributes to the long-term sustainability of the manufacturing industry.
- Through the analysis of students' academic records, assessment results, and classroom performance, we found significant improvements in students' academic achievements and learning motivation after the reform. Additionally, interviews and surveys revealed positive feedback from students, indicating that the reformed teaching mode helped them better address practical challenges and enhance their application skills.
- Our study holds important theoretical and practical significance for the intelligent manufacturing industry and the field of education. By reforming industrial engineering education, we provide a cultivation model tailored to the intelligent manufacturing environment, aiming to meet industry demands and enhance the innovative and competitive abilities of engineering professionals. This contributes to the development of the intelligent manufacturing industry and supports sustainable transformation and upgrading of the manufacturing sector.
the study has a loose connection with sustainability.
Reply: Thank you for your suggestion. Our research questions are closely aligned with sustainability because intelligent manufacturing practices often aim to improve resource efficiency, reduce waste, and minimize environmental impacts. By focusing on the reform of engineering education, our study contributes to the long-term sustainability of the manufacturing industry. Meets the theme requirements of the special issue.
readers cannot find any significance in the study theoretically or pragmatically.
Reply: Thank you for your suggestion.
We appreciate the reviewer's feedback regarding the perceived lack of theoretical and pragmatic significance in our study. We understand the importance of clearly demonstrating the significance of research in both theoretical advancements and practical applications. We would like to address this concern by highlighting the following points:
1.Theoretical Significance:
(1) Contribution to knowledge: Our study contributes to the existing body of knowledge by exploring the integration of industrial engineering education with the context of intelligent manufacturing. This expands the theoretical understanding of how educational reforms can align with the evolving needs of the industry.
(2) Theoretical frameworks: We develop and present theoretical frameworks and models that provide systematic and structured explanations and guidance for the core concepts and principles of industrial engineering in the intelligent manufacturing domain.
(3) Validation of existing theories: The implementation of our study provides an opportunity to verify and validate the applicability of existing theories and models in the field of industrial engineering and intelligent manufacturing. This empirical validation enhances the theoretical foundation of the discipline.
2.Practical Significance:
(1) Application-oriented approach: Our study focuses on enhancing students' application and practical skills through the reformed teaching mode. This has practical implications for preparing students to meet the demands and challenges of the intelligent manufacturing industry.
(2) Addressing real-world challenges: The reformed teaching methods and content aim to address practical production and operational challenges, such as improving efficiency, reducing costs, and optimizing supply chains. This provides practical strategies and approaches that can be implemented in real-world industrial settings.
(3) Industry relevance and impact: By aligning the talent development model with the needs of the intelligent manufacturing industry, our study supports the development of a skilled workforce and promotes the industry's growth, innovation, and competitiveness.
While we understand that the perception of significance may vary among readers, we are confident that our study offers valuable theoretical insights and practical implications for the field of industrial engineering in the context of intelligent manufacturing. We will ensure that these aspects are clearly articulated in the manuscript, providing a compelling argument for the theoretical and pragmatic significance of our research.
