Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672931
Xiaorui Du, Zhaojun Yang, Jun Sun, Mengdi Wu
The development of emerging IT helps supply chain management achieve a higher degree of digitization and intelligence. The focus of this research is to use emerging IT to improve the vulnerability and collaborative management of supply chains. Based on network media reports about emerging IT and supply chain vulnerabilities, this study develops a grounded theory. Through separate coding of collected network data, it identifies existing problems of vulnerability and collaborative management, and explores how emerging IT are used to address such issues. Based on the results, this study puts forward suggestions and guidelines for using emerging IT to alleviate the vulnerability of the supply chain so as to realize the collaborative management of the supply chain. The findings from China's practice provide managers insights into the development of supply chain under the emerging IT.
{"title":"Supply Chain Vulnerability and Collaborative Management Empowered by Emerging IT: An Analysis from China's Practice","authors":"Xiaorui Du, Zhaojun Yang, Jun Sun, Mengdi Wu","doi":"10.1109/IEEM50564.2021.9672931","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672931","url":null,"abstract":"The development of emerging IT helps supply chain management achieve a higher degree of digitization and intelligence. The focus of this research is to use emerging IT to improve the vulnerability and collaborative management of supply chains. Based on network media reports about emerging IT and supply chain vulnerabilities, this study develops a grounded theory. Through separate coding of collected network data, it identifies existing problems of vulnerability and collaborative management, and explores how emerging IT are used to address such issues. Based on the results, this study puts forward suggestions and guidelines for using emerging IT to alleviate the vulnerability of the supply chain so as to realize the collaborative management of the supply chain. The findings from China's practice provide managers insights into the development of supply chain under the emerging IT.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"48 1","pages":"254-258"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84771416","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/IEEM50564.2021.9672936
Y. Tamura, H. Sone, Adarsh Anand, S. Yamada
Software vulnerability is generally defined as the weakness of security caused by the fault. Waterfall model has been usually used for the software development till recent past. Also, a number of open source components have been implemented in many commercial software. Recently, the open source software have extended to the cloud service and edge computing and the big data. It is thus imperetive to consider the impacts from the big data and network access. Various vulnerability assessment methods have been proposed by several researchers. In the typical vulnerability problems, methods of vulnerability assessment considering the fault factors have not been presented. Although, it is difficult to assess many fault factors recorded on the bug tracking system because of the uncertainty. The authors, in this paper, propose an assessment method of vulnerability by using the deep learning. Moreover, actual data to showcase the numerical examples for the estimation method of unknown parameters included in the proposed model for the vulnerability assessment have been presented.
{"title":"A Method of Vulnerability Assessment Based on Deep Learning and OSS Fault Big Data","authors":"Y. Tamura, H. Sone, Adarsh Anand, S. Yamada","doi":"10.1109/IEEM50564.2021.9672936","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672936","url":null,"abstract":"Software vulnerability is generally defined as the weakness of security caused by the fault. Waterfall model has been usually used for the software development till recent past. Also, a number of open source components have been implemented in many commercial software. Recently, the open source software have extended to the cloud service and edge computing and the big data. It is thus imperetive to consider the impacts from the big data and network access. Various vulnerability assessment methods have been proposed by several researchers. In the typical vulnerability problems, methods of vulnerability assessment considering the fault factors have not been presented. Although, it is difficult to assess many fault factors recorded on the bug tracking system because of the uncertainty. The authors, in this paper, propose an assessment method of vulnerability by using the deep learning. Moreover, actual data to showcase the numerical examples for the estimation method of unknown parameters included in the proposed model for the vulnerability assessment have been presented.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"18 1","pages":"1546-1550"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85547205","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/IEEM50564.2021.9672605
L. E. Velázquez, S. Chankov
Digital freight forwarders have streamlined their operations with instant quoting and automated order offerings for carriers. Nevertheless, automatic bundling and assigning shipping orders to a carrier has not been studied yet. Thus, the purpose of this paper is to investigate the prerequisites and implications of an AI expert system for automated truck scheduling. Using the Design Science Research Guideline, the concept is illustrated and evaluated based on seven expert interviews. Results show that it is a technologically and economically feasible tool to automate order selection and assignment to trucks. Important benefits for carriers, digital freight forwarders, and shippers are identified.
{"title":"Automated Truck Scheduling Utilizing an AI Expert System: An Innovative Solution for Digital Freight Forwarders and Carriers","authors":"L. E. Velázquez, S. Chankov","doi":"10.1109/IEEM50564.2021.9672605","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672605","url":null,"abstract":"Digital freight forwarders have streamlined their operations with instant quoting and automated order offerings for carriers. Nevertheless, automatic bundling and assigning shipping orders to a carrier has not been studied yet. Thus, the purpose of this paper is to investigate the prerequisites and implications of an AI expert system for automated truck scheduling. Using the Design Science Research Guideline, the concept is illustrated and evaluated based on seven expert interviews. Results show that it is a technologically and economically feasible tool to automate order selection and assignment to trucks. Important benefits for carriers, digital freight forwarders, and shippers are identified.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"30 4 1","pages":"228-232"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80481801","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/IEEM50564.2021.9672612
C. Wirawan, J. H. Widjaja
Micro, Small, and Medium Enterprises (MSMEs) play an important role in a country's economy. However, the pandemic of Corona Virus Disease 19 (COVID-19) and numerous changes in the general business environment have compelled MSMEs to embrace open innovation. However, due to their low digital literacy, Indonesian MSMEs are still having difficulty conducting open innovation. The goal of this research is to provide solutions for Indonesian MSMEs to address these issues. Therefore, we conducted a qualitative study and gathered data through in-depth interviews with a variety of stakeholders. This research provides a value co-creation model between Indonesian MSMEs, university, students, and consumers.
{"title":"Value Co-creation Building to Sustain Indonesian MSMEs in the New Normal Era","authors":"C. Wirawan, J. H. Widjaja","doi":"10.1109/IEEM50564.2021.9672612","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672612","url":null,"abstract":"Micro, Small, and Medium Enterprises (MSMEs) play an important role in a country's economy. However, the pandemic of Corona Virus Disease 19 (COVID-19) and numerous changes in the general business environment have compelled MSMEs to embrace open innovation. However, due to their low digital literacy, Indonesian MSMEs are still having difficulty conducting open innovation. The goal of this research is to provide solutions for Indonesian MSMEs to address these issues. Therefore, we conducted a qualitative study and gathered data through in-depth interviews with a variety of stakeholders. This research provides a value co-creation model between Indonesian MSMEs, university, students, and consumers.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"29 1","pages":"1087-1091"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81030666","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/IEEM50564.2021.9672885
Tipavinee Suwanwong Rodbundith, P. Sirisawat, N. Hasachoo
Air cargo is growing exponentially and can become one of the main revenues for aviation sector. With the COVID-19 crisis, air cargo plays an important role for deliver much-needed products such as vaccine or medical supplies. Moreover, E-commerce is also affecting the growth of air cargo industry. The purpose of this study is to explore the current state of air cargo industry and explore the challenges that air cargo industry will meet after the pandemic ends. The result shows that capacity shortage is the most significant challenges that air cargo need to consider in order to cope with rapid demand. The second factor is speed which is also important since customers demanding for the fast delivery.
{"title":"E-Commerce: Challenges That Lies Ahead of the Future Air Cargo Operation","authors":"Tipavinee Suwanwong Rodbundith, P. Sirisawat, N. Hasachoo","doi":"10.1109/IEEM50564.2021.9672885","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672885","url":null,"abstract":"Air cargo is growing exponentially and can become one of the main revenues for aviation sector. With the COVID-19 crisis, air cargo plays an important role for deliver much-needed products such as vaccine or medical supplies. Moreover, E-commerce is also affecting the growth of air cargo industry. The purpose of this study is to explore the current state of air cargo industry and explore the challenges that air cargo industry will meet after the pandemic ends. The result shows that capacity shortage is the most significant challenges that air cargo need to consider in order to cope with rapid demand. The second factor is speed which is also important since customers demanding for the fast delivery.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"11 1","pages":"134-137"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78815519","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/IEEM50564.2021.9672935
O. AlZawati, Hamdi A. Bashir, I. Alsyouf
The study aims at identifying the key success factors of the government Excellence Model (GEM) that is implemented by the public sector of the United Arab Emirates (UAE). The GEM, specifically designed for public sector organizations, was launched by the UAE federal government in 2015 and was adopted by the Dubai Government Excellence Program in 2016. However, there are no studies made yet to identify its critical success factors (CSFs) to assure or augment its successful implementation. Hence, the objective of this study is to define and structure the CSFs that are affecting the implementation of the GEM. In this piece, 28 factors were identified through the literature and expert review from a UAE public sector organization. Interpretive structural modeling is used to understand the complex relationships and portray it in a simplified model. The result shows that “top management commitment” is a key success factor for implementing the GEM by the public sector. Sense of belonging and reputation have been found to be the ultimate factors resulting from the implementation of the GEM.
{"title":"A Hierarchical Graphical Model of Critical Success Factors for Implementing the UAE's Government Excellence","authors":"O. AlZawati, Hamdi A. Bashir, I. Alsyouf","doi":"10.1109/IEEM50564.2021.9672935","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672935","url":null,"abstract":"The study aims at identifying the key success factors of the government Excellence Model (GEM) that is implemented by the public sector of the United Arab Emirates (UAE). The GEM, specifically designed for public sector organizations, was launched by the UAE federal government in 2015 and was adopted by the Dubai Government Excellence Program in 2016. However, there are no studies made yet to identify its critical success factors (CSFs) to assure or augment its successful implementation. Hence, the objective of this study is to define and structure the CSFs that are affecting the implementation of the GEM. In this piece, 28 factors were identified through the literature and expert review from a UAE public sector organization. Interpretive structural modeling is used to understand the complex relationships and portray it in a simplified model. The result shows that “top management commitment” is a key success factor for implementing the GEM by the public sector. Sense of belonging and reputation have been found to be the ultimate factors resulting from the implementation of the GEM.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"52 1 1","pages":"1265-1269"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82760995","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/IEEM50564.2021.9672804
Q. Xiu, M. Tanaka, M. Sakata
In manufacturing domain, there are increasing needs for quality control by utilizing various data collected from on-site. Machine failure, equipment component replacement, and other process disturbances are now collected by various sensors. The analysis of these data can help on-site managers to detect product quality drifts and to cope with them quickly and properly. However, the irregular and sparse nature of process disturbances causes prediction accuracy issue and modeling time issue. In this research, we propose a product quality prediction method using a stochastic process to model the irregular disturbances, and make prediction based on dense, regular matrix of sustained effects sampled from the stochastic process for modeling time reduction. As the result of applying the proposed quality prediction method to actual manufacturing data, the MSE (mean squared error) is reduced by 84.6% and the modeling time can be shortened to within 3 hours for daily update. Therefore, it can be estimated that our quality prediction method can help on-site managers to detect quality drifts at early stage and have a better control of product quality.
{"title":"Quality Prediction Method by Modeling the Sustained Effects of Irregular Process Disturbances","authors":"Q. Xiu, M. Tanaka, M. Sakata","doi":"10.1109/IEEM50564.2021.9672804","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672804","url":null,"abstract":"In manufacturing domain, there are increasing needs for quality control by utilizing various data collected from on-site. Machine failure, equipment component replacement, and other process disturbances are now collected by various sensors. The analysis of these data can help on-site managers to detect product quality drifts and to cope with them quickly and properly. However, the irregular and sparse nature of process disturbances causes prediction accuracy issue and modeling time issue. In this research, we propose a product quality prediction method using a stochastic process to model the irregular disturbances, and make prediction based on dense, regular matrix of sustained effects sampled from the stochastic process for modeling time reduction. As the result of applying the proposed quality prediction method to actual manufacturing data, the MSE (mean squared error) is reduced by 84.6% and the modeling time can be shortened to within 3 hours for daily update. Therefore, it can be estimated that our quality prediction method can help on-site managers to detect quality drifts at early stage and have a better control of product quality.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"42 1","pages":"1220-1224"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90895667","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/IEEM50564.2021.9673055
Lewen Bao, R. Miao, Bo Zhang, Ji-yue Zhou, Hao Hu
Under the background of sharing economy, in order to improve the utilization rate of vehicle resources and the economic benefits of operators for urban governance, this paper studies the dynamic pricing strategy to maximize the system utility. Firstly, the space-time distribution law, time-varying law and influencing factors of shared cars leased by users are analyzed, and the demand characteristics of users' travel are obtained; then, considering various factors such as operation mode, user acceptance, demand price elasticity and operation cost, the supply and demand balance of single-way electric rental vehicle system based on fixed network points is explored and the pricing strategies of each site in different periods are formulated. Finally, the feasibility of the model is verified by taking the ‘microbus’ electric rental vehicle project in Hangzhou City as an example. The research results can provide theoretical guidance for subsequent promotion and market allocation of urban governance.
{"title":"Research on Dynamic Pricing of Shared Electric Vehicles Based on System Utility Maximization","authors":"Lewen Bao, R. Miao, Bo Zhang, Ji-yue Zhou, Hao Hu","doi":"10.1109/IEEM50564.2021.9673055","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673055","url":null,"abstract":"Under the background of sharing economy, in order to improve the utilization rate of vehicle resources and the economic benefits of operators for urban governance, this paper studies the dynamic pricing strategy to maximize the system utility. Firstly, the space-time distribution law, time-varying law and influencing factors of shared cars leased by users are analyzed, and the demand characteristics of users' travel are obtained; then, considering various factors such as operation mode, user acceptance, demand price elasticity and operation cost, the supply and demand balance of single-way electric rental vehicle system based on fixed network points is explored and the pricing strategies of each site in different periods are formulated. Finally, the feasibility of the model is verified by taking the ‘microbus’ electric rental vehicle project in Hangzhou City as an example. The research results can provide theoretical guidance for subsequent promotion and market allocation of urban governance.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"47 1","pages":"1466-1470"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91259999","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/IEEM50564.2021.9672968
Z. Meng, Zhihua Chen, Zhao-Hui Sun, X. Ming
Identification and evaluation of smart product service requirements (SPSRs) are considered to be the critical steps for smart product service system (smart PSS) designing. However, there are few studies on the SPSRs identification and lack of service evaluation methods that comprehensively consider multiple uncertain factors. Therefore, this paper proposes a framework for SPSRs identification, which innovatively considers the characteristics of smart PSS and helps to elicit SPSRs from the logic of data value creation. Furthermore, considering the effects of individual semantic vagueness and individual subjective preference, a method based on the rough-fuzzy number is proposed, which helps service designers obtain subjective and accurate evaluation results. The case of the smart maintenance service of smart cars is used to prove the flexibility and feasibility of the identification and evaluation method.
{"title":"Smart Product Service Requirements Identification and Evaluation: A Hybrid Method","authors":"Z. Meng, Zhihua Chen, Zhao-Hui Sun, X. Ming","doi":"10.1109/IEEM50564.2021.9672968","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672968","url":null,"abstract":"Identification and evaluation of smart product service requirements (SPSRs) are considered to be the critical steps for smart product service system (smart PSS) designing. However, there are few studies on the SPSRs identification and lack of service evaluation methods that comprehensively consider multiple uncertain factors. Therefore, this paper proposes a framework for SPSRs identification, which innovatively considers the characteristics of smart PSS and helps to elicit SPSRs from the logic of data value creation. Furthermore, considering the effects of individual semantic vagueness and individual subjective preference, a method based on the rough-fuzzy number is proposed, which helps service designers obtain subjective and accurate evaluation results. The case of the smart maintenance service of smart cars is used to prove the flexibility and feasibility of the identification and evaluation method.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"87 1","pages":"1052-1056"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87431809","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/IEEM50564.2021.9672609
S. Mostafa, Y. Adel, K. Abdallah
Fast moving consumable goods require good supply chain operation. In this paper, a leading Egyptian FMCG is considered. The company wants to optimize its distribution network design considering several supply chain strategic objectives. The company wants to determine the number of warehouses to build, their sizes, customers assigned to each warehouse, and their layout. The objective is to reduce the distribution cost taking into consideration the company's strategic decision such as giving higher priority to important customers and assigning the nearest warehouse to each customer, and also the real live applicability of the suggested solution. We first segment the customer according to different strategic factors. Then a non-linear model is proposed for solving the problem. A hybrid heuristic is proposed that solves the problem by iterating between the optimal suggested location and the possible locations available for business in the real life according to availability and other strategic factors. Different layouts for the selected locations are evaluated using Monte-Carlo Simulation.
{"title":"Improving the Strategic Distribution Performance of the Supply Chain of a Leading FMCG Company: A Case Study","authors":"S. Mostafa, Y. Adel, K. Abdallah","doi":"10.1109/IEEM50564.2021.9672609","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672609","url":null,"abstract":"Fast moving consumable goods require good supply chain operation. In this paper, a leading Egyptian FMCG is considered. The company wants to optimize its distribution network design considering several supply chain strategic objectives. The company wants to determine the number of warehouses to build, their sizes, customers assigned to each warehouse, and their layout. The objective is to reduce the distribution cost taking into consideration the company's strategic decision such as giving higher priority to important customers and assigning the nearest warehouse to each customer, and also the real live applicability of the suggested solution. We first segment the customer according to different strategic factors. Then a non-linear model is proposed for solving the problem. A hybrid heuristic is proposed that solves the problem by iterating between the optimal suggested location and the possible locations available for business in the real life according to availability and other strategic factors. Different layouts for the selected locations are evaluated using Monte-Carlo Simulation.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2 1","pages":"195-199"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88866960","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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