Pub Date : 2018-12-01DOI: 10.1109/IEEM.2018.8607303
K. L. Keung, C. K. M. Lee, K. Ng, Chun-Kit Yeung
Heavy downpours always bring trouble to Hong Kong during the rainy season. Severe rainfalls and flooding will delay the transportation, cause the loss of property or even kill lives. However, there is limited research that investigated the problems of the drainage system and stormwater management. Regarding the Internet of Things (IoT) development and successful example of IoT application, Hong Kong has the potential to become a smart city. The smart drainage system is one of the possible research directions. A prototype IoT system is decided with hardware and software. Experiments are conducted to collect the data. The data is then used to train the Artificial Neural Network. The analysis and predictive maintenance solutions are proposed to help the stormwater and drainage management. The results show that a well-trained algorithm can predict the drainage situations. The cross-validated results showed that it is reliable and able to predict most of the testing inputs. This paper aims at benefit to Hong Kong drainage service and the society.
{"title":"Smart City Application and Analysis: Real-time Urban Drainage Monitoring by IoT Sensors: A Case Study of Hong Kong","authors":"K. L. Keung, C. K. M. Lee, K. Ng, Chun-Kit Yeung","doi":"10.1109/IEEM.2018.8607303","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607303","url":null,"abstract":"Heavy downpours always bring trouble to Hong Kong during the rainy season. Severe rainfalls and flooding will delay the transportation, cause the loss of property or even kill lives. However, there is limited research that investigated the problems of the drainage system and stormwater management. Regarding the Internet of Things (IoT) development and successful example of IoT application, Hong Kong has the potential to become a smart city. The smart drainage system is one of the possible research directions. A prototype IoT system is decided with hardware and software. Experiments are conducted to collect the data. The data is then used to train the Artificial Neural Network. The analysis and predictive maintenance solutions are proposed to help the stormwater and drainage management. The results show that a well-trained algorithm can predict the drainage situations. The cross-validated results showed that it is reliable and able to predict most of the testing inputs. This paper aims at benefit to Hong Kong drainage service and the society.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115619377","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607542
K. Ewedairo, P. Chhetri, J. Dodson, S. Rahman
This paper aims to build plausible scenarios to formulate the future of last mile delivery using planning and transport infrastructure attributes as key drivers of last mile bottlenecks. The scenario thinking method is applied to understand and analyse apparent perverse last mile challenges with ‘critical uncertainties’ associated with projection of future patterns. Key stakeholders associated with last mile delivery in an urban setting were identified and their positioning assessed on power and interest. The state and local government with HighPower: LowInterest (HP:LI), and truck associations/drivers LowPower: HighInterest (LP:HI) were identified as key stakeholders with different levels of power and interest. Players such as VicRoads and Traders Associations represent the quadrant of HP:HI who could play a vital role to gain support for more infrastructure investment and technological innovation to help improve the efficiency of city logistics operations. Four plausible urban scenarios were identified using two extracted dimensions: Infrastructure Supply and Intensive Land use. The worst/worst scenario highlighted the area of need for strategic planning to mitigate risk associated with damaged products, congestion, last mile delivery stagnation and ageing infrastructure.
{"title":"Building Last Mile Delivery Scenarios: A Case Study of Melbourne","authors":"K. Ewedairo, P. Chhetri, J. Dodson, S. Rahman","doi":"10.1109/IEEM.2018.8607542","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607542","url":null,"abstract":"This paper aims to build plausible scenarios to formulate the future of last mile delivery using planning and transport infrastructure attributes as key drivers of last mile bottlenecks. The scenario thinking method is applied to understand and analyse apparent perverse last mile challenges with ‘critical uncertainties’ associated with projection of future patterns. Key stakeholders associated with last mile delivery in an urban setting were identified and their positioning assessed on power and interest. The state and local government with HighPower: LowInterest (HP:LI), and truck associations/drivers LowPower: HighInterest (LP:HI) were identified as key stakeholders with different levels of power and interest. Players such as VicRoads and Traders Associations represent the quadrant of HP:HI who could play a vital role to gain support for more infrastructure investment and technological innovation to help improve the efficiency of city logistics operations. Four plausible urban scenarios were identified using two extracted dimensions: Infrastructure Supply and Intensive Land use. The worst/worst scenario highlighted the area of need for strategic planning to mitigate risk associated with damaged products, congestion, last mile delivery stagnation and ageing infrastructure.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114652079","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607406
S. Mukwakungu, E. M. Bakama, Alice Kabamba Lumbwe, M. Bolipombo, Dorcas Niati, Kidoge Ibrahimu, Jonathan Eljadael Kasongo, C. Mbohwa
This paper’s objectives are to establish and document internal clients’ perception about the quality of service received at the Main Laboratory of the LAB, a national laboratory dealing with transmittable diseases in South Africa. The study followed a quantitative design approach with cross functional examinations. Data collection tool was based on “SERVQUAL” model. Findings show that in terms of the quality dimensions, the LAB’s centres performed variably in many aspects and to a varying degree in different quality dimensions measured. Each centre had its own unique set of challenges. The recommendations made in this study can be implemented as a solution to the problems faced by the LAB and other similar departments. This study viewed from a South African perspective, is first of its kind as it explores the effectiveness of the implementation of a Quality Management System at a biosafety level 4, the only one on the African continent.
{"title":"Assessment of Quality of Service at the Main Laboratory of the LAB Aimed at Satisfying Internal Customer Needs","authors":"S. Mukwakungu, E. M. Bakama, Alice Kabamba Lumbwe, M. Bolipombo, Dorcas Niati, Kidoge Ibrahimu, Jonathan Eljadael Kasongo, C. Mbohwa","doi":"10.1109/IEEM.2018.8607406","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607406","url":null,"abstract":"This paper’s objectives are to establish and document internal clients’ perception about the quality of service received at the Main Laboratory of the LAB, a national laboratory dealing with transmittable diseases in South Africa. The study followed a quantitative design approach with cross functional examinations. Data collection tool was based on “SERVQUAL” model. Findings show that in terms of the quality dimensions, the LAB’s centres performed variably in many aspects and to a varying degree in different quality dimensions measured. Each centre had its own unique set of challenges. The recommendations made in this study can be implemented as a solution to the problems faced by the LAB and other similar departments. This study viewed from a South African perspective, is first of its kind as it explores the effectiveness of the implementation of a Quality Management System at a biosafety level 4, the only one on the African continent.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"486 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116692254","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607549
F. Ramadhan, Afrin FauzyaRizana, R. P. Soesanto, A. Kurniawati, I. Wiratmadja
Tacit knowledge transfer is essential since it is considered as a source of sustainable competitive advantage in an organization. According to the previous study, source, recipient, knowledge characteristic and transfer mechanism play important role in determining the effectiveness of tacit knowledge transfer. Moreover, this study also considered the relationship between tacit knowledge transfer effectiveness and individual performance. An agent-based modeling approach was employed in this study since the approach is considered perfectly qualified in dealing with a complex system like knowledge transfer. This study aimed to investigate the change of individual work performance with the consideration of the feedback loop mechanism in the model using the agent-based approach. Data used in this study were collected from 15 university laboratories in a university in Indonesia. Three scenarios with various conditions are generated in this study. The result of all scenarios indicates that several strategies can be implemented in real condition to enhance organization member work performance based on the simulation output. In addition, there is a finding that recipient characteristic likeabsorptive capacity is a key driver to enhance knowledge transfer effectiveness and individual performance.
{"title":"An Application of Agent-based Modeling and Simulation in Tacit Knowledge Transfer Effectiveness and Individual Performance through the Consideration of Feedback Mechanism","authors":"F. Ramadhan, Afrin FauzyaRizana, R. P. Soesanto, A. Kurniawati, I. Wiratmadja","doi":"10.1109/IEEM.2018.8607549","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607549","url":null,"abstract":"Tacit knowledge transfer is essential since it is considered as a source of sustainable competitive advantage in an organization. According to the previous study, source, recipient, knowledge characteristic and transfer mechanism play important role in determining the effectiveness of tacit knowledge transfer. Moreover, this study also considered the relationship between tacit knowledge transfer effectiveness and individual performance. An agent-based modeling approach was employed in this study since the approach is considered perfectly qualified in dealing with a complex system like knowledge transfer. This study aimed to investigate the change of individual work performance with the consideration of the feedback loop mechanism in the model using the agent-based approach. Data used in this study were collected from 15 university laboratories in a university in Indonesia. Three scenarios with various conditions are generated in this study. The result of all scenarios indicates that several strategies can be implemented in real condition to enhance organization member work performance based on the simulation output. In addition, there is a finding that recipient characteristic likeabsorptive capacity is a key driver to enhance knowledge transfer effectiveness and individual performance.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 20","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120935621","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607751
A. Susanty, N. B. Puspitasari, A. Bakhtiar, N. Susanto, David Kurnia
The primary object of this research is to explain and demonstrate the complex structure that links each variable within the dairy milk supply chain in Indonesia through the causal loop diagram (CLD). Referring to the structure of the National Model developed by Forrester (1989), there were six CLDs which belong to six sub-systems used to describe the relationship between variables in the dairy supply chain. The first CLD belong to population and consumption sub-system. The second until sixth CLD belong to milk production sub-system, dairy cattle sub-system, dairy cattle population sub-system, dairy farmer’s income sub-system, and government sub-system. According to CLD, there are minimal one important drivers in each sub-system. The findings in this paper put forward some important issues that require for running the full simulation of some proposed scenarios.
{"title":"Modeling the Causal Relationship Among Variables that Influencing the Capability of Dairy Supply Chain in Indonesia","authors":"A. Susanty, N. B. Puspitasari, A. Bakhtiar, N. Susanto, David Kurnia","doi":"10.1109/IEEM.2018.8607751","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607751","url":null,"abstract":"The primary object of this research is to explain and demonstrate the complex structure that links each variable within the dairy milk supply chain in Indonesia through the causal loop diagram (CLD). Referring to the structure of the National Model developed by Forrester (1989), there were six CLDs which belong to six sub-systems used to describe the relationship between variables in the dairy supply chain. The first CLD belong to population and consumption sub-system. The second until sixth CLD belong to milk production sub-system, dairy cattle sub-system, dairy cattle population sub-system, dairy farmer’s income sub-system, and government sub-system. According to CLD, there are minimal one important drivers in each sub-system. The findings in this paper put forward some important issues that require for running the full simulation of some proposed scenarios.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127269924","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607374
E. Nishimura, Koichi Shintani, A. Imai
CO2 occupies over 90% of artificially emitted the Greenhouse Gas (GHG). As related in CO2 emission from road traffic, we focus on a vehicle routing for marine container transport. There are three container conditions: inbound trip, outbound trip and empty condition. And also there are two situations for vehicles: trailer truck (with full or empty container loaded) and empty truck (as tractor only). In this study, we address the tractor head assignment to trailers (chassis) with full/empty container with considering the precedence constraints for visiting customers, as to minimize CO2 emissions. As the computational results, there are around 25 % reductions of CO2 emissions in our proposed MIP model.
{"title":"Vehicle Dispatch Problem with Precedence Constraints for Marine Container Drayage","authors":"E. Nishimura, Koichi Shintani, A. Imai","doi":"10.1109/IEEM.2018.8607374","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607374","url":null,"abstract":"CO2 occupies over 90% of artificially emitted the Greenhouse Gas (GHG). As related in CO2 emission from road traffic, we focus on a vehicle routing for marine container transport. There are three container conditions: inbound trip, outbound trip and empty condition. And also there are two situations for vehicles: trailer truck (with full or empty container loaded) and empty truck (as tractor only). In this study, we address the tractor head assignment to trailers (chassis) with full/empty container with considering the precedence constraints for visiting customers, as to minimize CO2 emissions. As the computational results, there are around 25 % reductions of CO2 emissions in our proposed MIP model.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124902451","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607692
Zhaoxiang Chen, Yihai He, Yixiao Zhao, Xiao Han, Zheng He
In actual production, the best maintenance operations of multistate manufacturing system cannot be implemented at intervals due to the limitation of maintenance costs. In this case, selective maintenance decisions are widely adopted. However, previous selective maintenance decisions only consider the basic reliability, which cannot fully describe the operating characteristics of multistate manufacturing system. Therefore, this paper proposes a selective maintenance decision with the goal of maximizing the mission reliability for multistate manufacturing system. Firstly, the new connotation of selective maintenance is defined to characterize the ability of a multistate manufacturing system to meet the variable task demand state. Secondly, the Extended State Task Network is proposed to characterize the operating characteristics of manufacturing system and the mission reliability model. Thirdly, under the condition of fixed maintenance cost, a selective maintenance decision method based on Particle Swarm Optimization algorithm is derived, which makes the mission reliability of next operation to be maximized. Finally, in order to verify the effectiveness of the proposed method, a case study of selective maintenance decision for a multistate cylinder head manufacturing system is given.
{"title":"Selective Maintenance Decision for Multistate Manufacturing System Based on Extended State Task Network","authors":"Zhaoxiang Chen, Yihai He, Yixiao Zhao, Xiao Han, Zheng He","doi":"10.1109/IEEM.2018.8607692","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607692","url":null,"abstract":"In actual production, the best maintenance operations of multistate manufacturing system cannot be implemented at intervals due to the limitation of maintenance costs. In this case, selective maintenance decisions are widely adopted. However, previous selective maintenance decisions only consider the basic reliability, which cannot fully describe the operating characteristics of multistate manufacturing system. Therefore, this paper proposes a selective maintenance decision with the goal of maximizing the mission reliability for multistate manufacturing system. Firstly, the new connotation of selective maintenance is defined to characterize the ability of a multistate manufacturing system to meet the variable task demand state. Secondly, the Extended State Task Network is proposed to characterize the operating characteristics of manufacturing system and the mission reliability model. Thirdly, under the condition of fixed maintenance cost, a selective maintenance decision method based on Particle Swarm Optimization algorithm is derived, which makes the mission reliability of next operation to be maximized. Finally, in order to verify the effectiveness of the proposed method, a case study of selective maintenance decision for a multistate cylinder head manufacturing system is given.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125073185","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607501
A. Khatab, E. Aghezzaf, C. Diallo, U. Venkatadri
This work develops a new variant of selective maintenance (SM) optimization model for multicomponent systems running multiple alternating sequences of missions and breaks. A component deteriorates randomly and fails when the corresponding failure threshold is exceeded. Components’ failures impact the quality of the environment and increase the energy consumption. Thus, failures induce penalty costs. Improving the system reliability during the following mission is achieved by performing maintenance activities on its elements during the breaks. A condition-based SM optimization problem (CBSMP)is developed to minimize the total expected cost subject to the limited break durations and required reliability for the next mission. A model’s solution determines an optimal SM plan which minimize the total expected cost resulting from inspection, maintenance, and costs due to impact of components’ failures on the environment and energy requirements. The proposed approach is tested on a numerical example.
{"title":"Condition-based Selective Maintenance for Multicomponent Systems Under Environmental and Energy Considerations","authors":"A. Khatab, E. Aghezzaf, C. Diallo, U. Venkatadri","doi":"10.1109/IEEM.2018.8607501","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607501","url":null,"abstract":"This work develops a new variant of selective maintenance (SM) optimization model for multicomponent systems running multiple alternating sequences of missions and breaks. A component deteriorates randomly and fails when the corresponding failure threshold is exceeded. Components’ failures impact the quality of the environment and increase the energy consumption. Thus, failures induce penalty costs. Improving the system reliability during the following mission is achieved by performing maintenance activities on its elements during the breaks. A condition-based SM optimization problem (CBSMP)is developed to minimize the total expected cost subject to the limited break durations and required reliability for the next mission. A model’s solution determines an optimal SM plan which minimize the total expected cost resulting from inspection, maintenance, and costs due to impact of components’ failures on the environment and energy requirements. The proposed approach is tested on a numerical example.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123746544","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607271
D. Nguyen, Thanh Hai Tuan Tran, Duc Kien Le, V. T. Le
Lattice structure is a network of truss including struts or plates interconnected to each other. The lattice structures have many inherent advantages due to their ability to reduce the weight of the product whilst still ensure high specific strength and stiffness of materials. They have been used in many industrial engineering applications such as improvement of material properties, thermal engineering, and biomedical application. However, the generation of lattice structure model in Computer Aided Design (CAD) environment has many difficulties using the current commercial CAD software. Therefore, this paper presents an application of CAD to create a model of lattice structure for additive manufacturing technologies. An interface to generate a model of lattice structure has been developed in Visual Basic programming language based on the API functions in SolidWorks® software. The interface helps product designers generating automatically a complex model of lattice structure of designed product in CAD environment.
{"title":"Creation of Lattice Structures for Additive Manufacturing in CAD Environment","authors":"D. Nguyen, Thanh Hai Tuan Tran, Duc Kien Le, V. T. Le","doi":"10.1109/IEEM.2018.8607271","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607271","url":null,"abstract":"Lattice structure is a network of truss including struts or plates interconnected to each other. The lattice structures have many inherent advantages due to their ability to reduce the weight of the product whilst still ensure high specific strength and stiffness of materials. They have been used in many industrial engineering applications such as improvement of material properties, thermal engineering, and biomedical application. However, the generation of lattice structure model in Computer Aided Design (CAD) environment has many difficulties using the current commercial CAD software. Therefore, this paper presents an application of CAD to create a model of lattice structure for additive manufacturing technologies. An interface to generate a model of lattice structure has been developed in Visual Basic programming language based on the API functions in SolidWorks® software. The interface helps product designers generating automatically a complex model of lattice structure of designed product in CAD environment.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772677","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 : 2018-12-01DOI: 10.1109/IEEM.2018.8607317
K. Asatani, Hiroko Yamano, Masanao Ochi, I. Sakata
Companies considering investments should first examine the global economic structure. Despite the world becoming flatter every day, inequalities between countries still exist. However, any discussion about the emergence and continuation of such inequality remains controversial. In this study, we use a massive dataset of global mergers and acquisitions (M&A) to analyze the unequal capital relationship between countries. We find unilateral investment between pairs of countries that do not change over decades. To identify countries where investments or returns on investment accumulate, we simulate such accumulation by the movement of money between countries through M&A relationships. We formalize the iterative movement of investment/return capital using the PageRank algorithm. The simulation result illustrates a significant difference between countries: return on investments mostly accumulate in countries with high GDP per capita. Other countries have relatively few benefits compared to accumulating investment. Consequently, we conclude that the M&A network structure causes accumulation of returns in specific countries and results in continuous unilateral investment from rich countries to other countries.
{"title":"Inequality Structure of Global Investment: Analysis and Simulation of an MA Network","authors":"K. Asatani, Hiroko Yamano, Masanao Ochi, I. Sakata","doi":"10.1109/IEEM.2018.8607317","DOIUrl":"https://doi.org/10.1109/IEEM.2018.8607317","url":null,"abstract":"Companies considering investments should first examine the global economic structure. Despite the world becoming flatter every day, inequalities between countries still exist. However, any discussion about the emergence and continuation of such inequality remains controversial. In this study, we use a massive dataset of global mergers and acquisitions (M&A) to analyze the unequal capital relationship between countries. We find unilateral investment between pairs of countries that do not change over decades. To identify countries where investments or returns on investment accumulate, we simulate such accumulation by the movement of money between countries through M&A relationships. We formalize the iterative movement of investment/return capital using the PageRank algorithm. The simulation result illustrates a significant difference between countries: return on investments mostly accumulate in countries with high GDP per capita. Other countries have relatively few benefits compared to accumulating investment. Consequently, we conclude that the M&A network structure causes accumulation of returns in specific countries and results in continuous unilateral investment from rich countries to other countries.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126873794","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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