Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673070
A. Susanty, N. B. Puspitasari, Silviannisa, S. Jati
This study attempts to assess the priority weight of indicators for measuring the level of halal logistics implementation. Specifically, through a short literature review, the paper plans to propose some indicators for halal logistics implementation and then use the analytical hierarchy process (AHP) to prioritize. Twenty indicators are recognized from extant halal literature of measurement of halal logistics. The twenty indicators can be divided into seven mandatory indicators (may related to the halal concept in Syariah law) and 13 non-mandatory indicators that refer to the cleanliness and hygiene of the product produced (may relate to toyyiban in Syariah law). The mandatory indicators should have a value of priority weight equal to one. Among the 13 non-mandatory indicators that may have a priority less than one, the highest priority is given to the ability of the company to provide clean and hygienic storage facilities that fulfill Syariah Law LPPOM - MUI requirement.
{"title":"Prioritizing Indicators for Measuring Halal Logistics Implementation","authors":"A. Susanty, N. B. Puspitasari, Silviannisa, S. Jati","doi":"10.1109/IEEM50564.2021.9673070","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673070","url":null,"abstract":"This study attempts to assess the priority weight of indicators for measuring the level of halal logistics implementation. Specifically, through a short literature review, the paper plans to propose some indicators for halal logistics implementation and then use the analytical hierarchy process (AHP) to prioritize. Twenty indicators are recognized from extant halal literature of measurement of halal logistics. The twenty indicators can be divided into seven mandatory indicators (may related to the halal concept in Syariah law) and 13 non-mandatory indicators that refer to the cleanliness and hygiene of the product produced (may relate to toyyiban in Syariah law). The mandatory indicators should have a value of priority weight equal to one. Among the 13 non-mandatory indicators that may have a priority less than one, the highest priority is given to the ability of the company to provide clean and hygienic storage facilities that fulfill Syariah Law LPPOM - MUI requirement.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"33 1","pages":"73-77"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78841881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672778
Zhuoran Li, Yuming Zhu, Xiaohai Weng, Qingye Han, F. Lyu
This paper established a combined evaluation model to assess the competitiveness of Private Science and Technology Parks (PSTPs) in China to support their scientific development. More specifically, the evaluation index system is identified according to the previous study. Three commonly used methods, including Grey Relational Analysis (GRA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Principal Components Analysis (PCA), are utilized to obtain each evaluation result. Considering the inconsistency of the above results, this paper conducted a combined evaluation method to gain a more scientific and reasonable result. Finally, a numerical example was taken to show the effectiveness of the proposed model.
本文建立了中国民营科技园区竞争力的综合评价模型，以支持民营科技园区的科学发展。更具体地说，根据前面的研究确定了评价指标体系。利用灰色关联分析法(GRA)、TOPSIS法(Order Preference Technique of Similarity to Ideal Solution)和主成分分析法(PCA)三种常用的评价方法得到评价结果。考虑到上述结果的不一致性，本文采用了综合评价方法，以获得更科学合理的评价结果。最后，通过数值算例验证了该模型的有效性。
{"title":"A Combined Evaluation Model for Competitiveness Assessment of Private Science and Technology Parks in China","authors":"Zhuoran Li, Yuming Zhu, Xiaohai Weng, Qingye Han, F. Lyu","doi":"10.1109/IEEM50564.2021.9672778","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672778","url":null,"abstract":"This paper established a combined evaluation model to assess the competitiveness of Private Science and Technology Parks (PSTPs) in China to support their scientific development. More specifically, the evaluation index system is identified according to the previous study. Three commonly used methods, including Grey Relational Analysis (GRA), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Principal Components Analysis (PCA), are utilized to obtain each evaluation result. Considering the inconsistency of the above results, this paper conducted a combined evaluation method to gain a more scientific and reasonable result. Finally, a numerical example was taken to show the effectiveness of the proposed model.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"51 1","pages":"513-517"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87885538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672785
Daria Larsson, R. Ratnayake
Last Planner System (LPS) is a popular tool among the lean construction community, which aims to reduce waste and improve workflow in order to efficiently run a project. LPS can also be seen as a critical response to traditional project planning and control, as it challenges the traditional way of planning and managing projects. Despite its success in the construction sector, LPS is relatively new within the context of office knowledge work. This paper proposes a framework and guidance for implementing LPS in an engineering-to-order (ETO) organization providing knowledge work, service, and manufacturing. The manuscript firstly demonstrates the basics of LPS then presents the findings regarding project performance in a case study company. It also demonstrates the potential of using LPS to solve the existing challenges observed in engineering projects. Finally, it presents a methodology and guidelines for implementing LPS to improve monitoring and control of engineering activities in the projects.
{"title":"Implementation of Last Planner System to Engineering-to-order (ETO) Organization with a Focus on Office Knowledge Work. Development of a Framework","authors":"Daria Larsson, R. Ratnayake","doi":"10.1109/IEEM50564.2021.9672785","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672785","url":null,"abstract":"Last Planner System (LPS) is a popular tool among the lean construction community, which aims to reduce waste and improve workflow in order to efficiently run a project. LPS can also be seen as a critical response to traditional project planning and control, as it challenges the traditional way of planning and managing projects. Despite its success in the construction sector, LPS is relatively new within the context of office knowledge work. This paper proposes a framework and guidance for implementing LPS in an engineering-to-order (ETO) organization providing knowledge work, service, and manufacturing. The manuscript firstly demonstrates the basics of LPS then presents the findings regarding project performance in a case study company. It also demonstrates the potential of using LPS to solve the existing challenges observed in engineering projects. Finally, it presents a methodology and guidelines for implementing LPS to improve monitoring and control of engineering activities in the projects.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"895-900"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82921509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672794
Lewen Yuan, L. Xiao
Group buying is an emerging business model innovation in online delivery industry. In this paper, we model a platform which provides products and delivery service, including direct delivery and group buying. We study the behavior of customers and pricing strategy of platforms. The results show that: (1) Customers tend to choose group buying for low-price products and direct delivery for high-price products. (2) For platforms, the optimal price is first decreasing and then increasing in delivery fee. (3) The platforms could choose to become mid-end or high-end platform. Mid-end platforms would provide both services with low price and delivery fee while high-end platform would only provide direct delivery service with high price and high delivery fee.
{"title":"Optimal Pricing for Online Delivery Platforms with Group Buying and Direct Delivery","authors":"Lewen Yuan, L. Xiao","doi":"10.1109/IEEM50564.2021.9672794","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672794","url":null,"abstract":"Group buying is an emerging business model innovation in online delivery industry. In this paper, we model a platform which provides products and delivery service, including direct delivery and group buying. We study the behavior of customers and pricing strategy of platforms. The results show that: (1) Customers tend to choose group buying for low-price products and direct delivery for high-price products. (2) For platforms, the optimal price is first decreasing and then increasing in delivery fee. (3) The platforms could choose to become mid-end or high-end platform. Mid-end platforms would provide both services with low price and delivery fee while high-end platform would only provide direct delivery service with high price and high delivery fee.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"32 1","pages":"1057-1061"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88964484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673046
I. Taleb, A. Etienne, A. Siadat
Systems modeling, and simulation have been widely used to better understand the behavior of complex systems. Some of the main benefits of these tools are the cheaper and faster way of testing compared to real-life testing, and the flexibility that simulation offers via the tweaking of parameters, variables, and functions. It has drawbacks too, such as precision and accuracy, difficulty of modeling and simulating productivity. In fact, there are multiple ways of defining productivity, either through activities or output or time. This article offers a new definition of productivity and in contrast, non-productivity, and the different levels between them, and we study the possibility to model complex manufacturing systems and simulate them. The main contribution of this research consists in developing a flexible model and tool able to simulate complex manufacturing systems. The goal of this tool is to model productivity and be flexible enough to allow for easier and cheaper alternatives to testing, and complex enough to encompass a large part of possibilities.
{"title":"Productivity and Human Factors Improvement in Manufacturing Systems. A Systems Modeling and Simulation Approach","authors":"I. Taleb, A. Etienne, A. Siadat","doi":"10.1109/IEEM50564.2021.9673046","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673046","url":null,"abstract":"Systems modeling, and simulation have been widely used to better understand the behavior of complex systems. Some of the main benefits of these tools are the cheaper and faster way of testing compared to real-life testing, and the flexibility that simulation offers via the tweaking of parameters, variables, and functions. It has drawbacks too, such as precision and accuracy, difficulty of modeling and simulating productivity. In fact, there are multiple ways of defining productivity, either through activities or output or time. This article offers a new definition of productivity and in contrast, non-productivity, and the different levels between them, and we study the possibility to model complex manufacturing systems and simulate them. The main contribution of this research consists in developing a flexible model and tool able to simulate complex manufacturing systems. The goal of this tool is to model productivity and be flexible enough to allow for easier and cheaper alternatives to testing, and complex enough to encompass a large part of possibilities.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81068002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673050
Giulia Caselli, D. D. Santis, Maxence Delorme, M. Iori
The COVID-19 pandemic has triggered several new measures in public and private companies to limit the spread of the virus. One of the most effective measures was shown to be social distancing, but such measure is not easy to implement for every entity, especially for hospitals. In this work, we study the case of an Italian hospital whose goal is to find the best layout of outpatient services to reduce overcrowding in the waiting rooms. We propose an Integer Linear Programming model to identify the weekly optimal layout and we test it on a set of real data from the year 2019. The results obtained by our model reduce the overcrowding by 80% on average with respect to the results obtained with the configuration used by the hospital, but such results can only be obtained if the layout is allowed to change every week. We then study the case in which we force the layout to be fixed for two or three consecutive weeks and outline that both the computational time and the solution quality worsen significantly.
{"title":"A Mathematical Formulation for Reducing Overcrowding in Hospitals' Waiting Rooms","authors":"Giulia Caselli, D. D. Santis, Maxence Delorme, M. Iori","doi":"10.1109/IEEM50564.2021.9673050","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673050","url":null,"abstract":"The COVID-19 pandemic has triggered several new measures in public and private companies to limit the spread of the virus. One of the most effective measures was shown to be social distancing, but such measure is not easy to implement for every entity, especially for hospitals. In this work, we study the case of an Italian hospital whose goal is to find the best layout of outpatient services to reduce overcrowding in the waiting rooms. We propose an Integer Linear Programming model to identify the weekly optimal layout and we test it on a set of real data from the year 2019. The results obtained by our model reduce the overcrowding by 80% on average with respect to the results obtained with the configuration used by the hospital, but such results can only be obtained if the layout is allowed to change every week. We then study the case in which we force the layout to be fixed for two or three consecutive weeks and outline that both the computational time and the solution quality worsen significantly.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"27 1","pages":"297-301"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88648801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672860
S. Iwami
IT (Information technology) has been rapidly growing. Until early 2000s, IT mainly exists for IT industry. However, IT expands their fields into the outer fields of IT industry such as medical and agricultural industries. It means that the cutting-edge technologies have increased to a level that humanity cannot grasp all. It is difficult for even industrial leaders and followers to grasp all. Thus, in order to grasp and create the cutting-edge technologies, this research provide the latest states from keynotes of some events. These text data for this analysis could be gained because a lot of events have shifted from in-person to online by the impact of COVID-19 (the coronavirus disease 2019). Consequently, this analysis measured the closeness between industries that have available data and found that the changes of topics become more frequent after COVID-19. This analysis is to evaluate the potential in order to compare with confidential data and to discover the gap between international trends and in-company competences in the future.
{"title":"Comparing Technical Trends between Industrial Leaders via Video Data","authors":"S. Iwami","doi":"10.1109/IEEM50564.2021.9672860","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672860","url":null,"abstract":"IT (Information technology) has been rapidly growing. Until early 2000s, IT mainly exists for IT industry. However, IT expands their fields into the outer fields of IT industry such as medical and agricultural industries. It means that the cutting-edge technologies have increased to a level that humanity cannot grasp all. It is difficult for even industrial leaders and followers to grasp all. Thus, in order to grasp and create the cutting-edge technologies, this research provide the latest states from keynotes of some events. These text data for this analysis could be gained because a lot of events have shifted from in-person to online by the impact of COVID-19 (the coronavirus disease 2019). Consequently, this analysis measured the closeness between industries that have available data and found that the changes of topics become more frequent after COVID-19. This analysis is to evaluate the potential in order to compare with confidential data and to discover the gap between international trends and in-company competences in the future.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"43 1","pages":"1082-1086"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86673077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672896
Z. Liu, H. Sarhadi
Extensive reliance on marine oil transportation imposes significant risks to local environments, economies, and local communities across the globe. To improve preparedness against the imposed risks, this paper develops a risk-averse two-stage stochastic mixed-integer linear programming model with Conditional Value-at-Risk (CVaR) as a risk measure to optimize response activities to the oil spills. The use of CVaR allows the decision makers of oil-spill response to incorporate different risk attitudes when making relevant response decisions. Through numerical analyses, this paper shows that the risk attitude of the decision makers plays a critical role in determining the optimal oil-spill response activities.
{"title":"Risk-averse Oil-spill Response Planning","authors":"Z. Liu, H. Sarhadi","doi":"10.1109/IEEM50564.2021.9672896","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672896","url":null,"abstract":"Extensive reliance on marine oil transportation imposes significant risks to local environments, economies, and local communities across the globe. To improve preparedness against the imposed risks, this paper develops a risk-averse two-stage stochastic mixed-integer linear programming model with Conditional Value-at-Risk (CVaR) as a risk measure to optimize response activities to the oil spills. The use of CVaR allows the decision makers of oil-spill response to incorporate different risk attitudes when making relevant response decisions. Through numerical analyses, this paper shows that the risk attitude of the decision makers plays a critical role in determining the optimal oil-spill response activities.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1157-1163"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86959617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672995
Haruhisa Suzuki, M. Ishioka
In recent years, the widespread recognition that the business activities of corporations are the source of social, environmental, and economic problems has been realized. In this situation, corporations are required to think deeply about the sustainability of society and business. In order for a company to cope with social problems without sacrificing business activities, CSV: Creating Shared Value, is required. Therefore, this research considers how to effectively approach to CSV. Specifically, first, from the perspective of CSV, this paper provides an overview of the knowledge creation methods of organizations in Knowledge Creation Theory and Experiential Learning theory. Next, based on that, this paper presents an effective approach to CSV. This paper then examines the effectiveness of the developed new approach in this research for the sustainable development of companies and society.
{"title":"Consideration on Sustainable Development of Companies and Society: Research on an Approach to Creating Shared Value","authors":"Haruhisa Suzuki, M. Ishioka","doi":"10.1109/IEEM50564.2021.9672995","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672995","url":null,"abstract":"In recent years, the widespread recognition that the business activities of corporations are the source of social, environmental, and economic problems has been realized. In this situation, corporations are required to think deeply about the sustainability of society and business. In order for a company to cope with social problems without sacrificing business activities, CSV: Creating Shared Value, is required. Therefore, this research considers how to effectively approach to CSV. Specifically, first, from the perspective of CSV, this paper provides an overview of the knowledge creation methods of organizations in Knowledge Creation Theory and Experiential Learning theory. Next, based on that, this paper presents an effective approach to CSV. This paper then examines the effectiveness of the developed new approach in this research for the sustainable development of companies and society.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"10 1","pages":"349-353"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86971169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672924
Yi Liu, Xin Zheng
There are many and diverse basic research teams facing disruptive technology, and their levels are different. How to collect and sort out successful experiences in different fields and build an original breakthrough model which suits the local context is very important. This research takes the flexible electronics team led by Academician Huang Wei as the research object, and uses a procedurally rooted method to refine the team's original breakthrough model, which divides the whole innovation behavior into three parts: driving layer, behavior layer and supporting layer. It is found that disruptive technological innovation behavior is driven by external environment and subjective will, supported by good resource distribution, excellent strategic leaders and positive team culture, relying on projects, and bringing output through knowledge divergence and aggregation. Feedback mechanism plays an important role in the whole behavior process. The model provides a theoretical basis for basic research teams in the same field.
{"title":"Innovation Model of Basic Research Teams Oriented to Disruptive Technology","authors":"Yi Liu, Xin Zheng","doi":"10.1109/IEEM50564.2021.9672924","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672924","url":null,"abstract":"There are many and diverse basic research teams facing disruptive technology, and their levels are different. How to collect and sort out successful experiences in different fields and build an original breakthrough model which suits the local context is very important. This research takes the flexible electronics team led by Academician Huang Wei as the research object, and uses a procedurally rooted method to refine the team's original breakthrough model, which divides the whole innovation behavior into three parts: driving layer, behavior layer and supporting layer. It is found that disruptive technological innovation behavior is driven by external environment and subjective will, supported by good resource distribution, excellent strategic leaders and positive team culture, relying on projects, and bringing output through knowledge divergence and aggregation. Feedback mechanism plays an important role in the whole behavior process. The model provides a theoretical basis for basic research teams in the same field.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"573-577"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91123431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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