Pub Date : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309861
Y. Prasetyo, Rod Vincent L. Cortes, Franklin S. Bautista, Kenneth C. E. Piguing, Aaron Josh A. Bermudez, Charlotte N. Monteiro
Hand grip strength, or widely also known as Maximum Voluntary Contraction (MVC), is an important part in physical ergonomics. The purpose of the study was to establish Filipino teenagers’ hand grip strength data. In addition, another objective of the study was to investigate the causal relationships of gender, hand anthropometric, hand dominance, and high school grade on hand grip strength in Filipino teenagers by utilizing the Structural Equation Modeling (SEM) approach. A total of 100 male and 100 female students were voluntary recruited from Mapúa Senior High School students to perform MVC. SEM indicated that gender was found to have the most significant effect on the hand grip strength, followed by hand anthropometric, and hand dominance. Interestingly, hand dominance was found to be significant on hand grip strength. This study is the first study that establish the hand grip strength among Filipino teenagers and it would be very beneficial for human factor engineers, hand therapists, and even medical doctors. Finally, the proposed SEM approach could be applied and extended in analyzing the hand grip strength in other countries.
{"title":"The Effect of Gender, Hand Anthropometry, Hand Dominance, and High School Grade on Hand Grip Strength in Filipino Teenagers Aged 15-18: A Structural Equation Modeling Approach","authors":"Y. Prasetyo, Rod Vincent L. Cortes, Franklin S. Bautista, Kenneth C. E. Piguing, Aaron Josh A. Bermudez, Charlotte N. Monteiro","doi":"10.1109/IEEM45057.2020.9309861","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309861","url":null,"abstract":"Hand grip strength, or widely also known as Maximum Voluntary Contraction (MVC), is an important part in physical ergonomics. The purpose of the study was to establish Filipino teenagers’ hand grip strength data. In addition, another objective of the study was to investigate the causal relationships of gender, hand anthropometric, hand dominance, and high school grade on hand grip strength in Filipino teenagers by utilizing the Structural Equation Modeling (SEM) approach. A total of 100 male and 100 female students were voluntary recruited from Mapúa Senior High School students to perform MVC. SEM indicated that gender was found to have the most significant effect on the hand grip strength, followed by hand anthropometric, and hand dominance. Interestingly, hand dominance was found to be significant on hand grip strength. This study is the first study that establish the hand grip strength among Filipino teenagers and it would be very beneficial for human factor engineers, hand therapists, and even medical doctors. Finally, the proposed SEM approach could be applied and extended in analyzing the hand grip strength in other countries.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131776157","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309798
Shuyi Pu, J. Lam
With continuous overcapacity in vessel tonnage and slower growth of global trade, shipowners are facing fierce competition and are pushed to look for innovative ways to improve their performance and reduce costs. Blockchain is one of the emerging technologies that has the potential to help shipowners to achieve these goals. This study aims to analyse if and when shipowners would adopt blockchain when facing a request from a big shipper. A game theory model is developed to analyse the optimal adoption time of shipowners. The analytical solutions of the optimal adoption time of each shipowner are obtained in different situations. The numerical analysis reveals that the higher shipping quantity carried by the shipowners, the earlier they would join the blockchain network. Shipowners with very small shipping quantities would be unlikely to adopt blockchain until more than a decade later. It is suggested that blockchain initiators should start with large shipowners when promoting blockchain.
{"title":"Blockchain Adoption Time of Shipowners: A Game Theoretic Analysis","authors":"Shuyi Pu, J. Lam","doi":"10.1109/IEEM45057.2020.9309798","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309798","url":null,"abstract":"With continuous overcapacity in vessel tonnage and slower growth of global trade, shipowners are facing fierce competition and are pushed to look for innovative ways to improve their performance and reduce costs. Blockchain is one of the emerging technologies that has the potential to help shipowners to achieve these goals. This study aims to analyse if and when shipowners would adopt blockchain when facing a request from a big shipper. A game theory model is developed to analyse the optimal adoption time of shipowners. The analytical solutions of the optimal adoption time of each shipowner are obtained in different situations. The numerical analysis reveals that the higher shipping quantity carried by the shipowners, the earlier they would join the blockchain network. Shipowners with very small shipping quantities would be unlikely to adopt blockchain until more than a decade later. It is suggested that blockchain initiators should start with large shipowners when promoting blockchain.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116021263","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309785
X. Bai, M. Xu, H. Jia
This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in the liquified petroleum gas (LPG) maritime transportation market. We utilize maritime big data derived from the Automatic Identification System (AIS) for vessel tracking in the analysis. Our model captures the positive impact of port congestion, at its high level, on freight rate volatility when the shipping market is relatively in a tight condition. The proposed model provides insights into the shipping freight market development by innovatively considering port congestion level. The findings provide practical guidance for industrial practitioners to anticipate future freight rates based on the current congestion level and for port authorities to plan for infrastructure upgrades accordingly.
{"title":"A Dynamic Feedback System Analysis on the Mechanism of Shipping Freight","authors":"X. Bai, M. Xu, H. Jia","doi":"10.1109/IEEM45057.2020.9309785","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309785","url":null,"abstract":"This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in the liquified petroleum gas (LPG) maritime transportation market. We utilize maritime big data derived from the Automatic Identification System (AIS) for vessel tracking in the analysis. Our model captures the positive impact of port congestion, at its high level, on freight rate volatility when the shipping market is relatively in a tight condition. The proposed model provides insights into the shipping freight market development by innovatively considering port congestion level. The findings provide practical guidance for industrial practitioners to anticipate future freight rates based on the current congestion level and for port authorities to plan for infrastructure upgrades accordingly.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115337218","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309854
Marabe Hotpower Magana, E. M. Bakama, S. Mukwakungu, N. Sukdeo
The study emphasizes on the execution of ISO 9001: 2015; within a South African service origination that provides learning programs in engineering industries. This study analyses the implementation of ISO 9001:2015 within the service organization. The rationale behind the study is to aid management to understand ISO 9001:2015 and align it with the organization’s mission to attain optimum performance while providing the stakeholders with pinnacle quality. A descriptive approach using both quantitative and qualitative methods were utilized to analyze the data gathered from respondents (70 customers). The data was collected within the organization based on the business experience of the respondents. The analysis showed that many complaints from customers on the quality of the service delivered were recorded highlighting that the service company needs improvement in the central administration department and improves the efficiency of the learner’s registration. The complaints management graph highlights that the organization needs improvement in the communication process with learners. Nevertheless, it was concluded that some learners are also satisfied with the call center personnel and the service they receive from them.
{"title":"The Implementation of ISO 9001:2015 to Improve Quality Service: A Descriptive Study on a South African Service Organization","authors":"Marabe Hotpower Magana, E. M. Bakama, S. Mukwakungu, N. Sukdeo","doi":"10.1109/IEEM45057.2020.9309854","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309854","url":null,"abstract":"The study emphasizes on the execution of ISO 9001: 2015; within a South African service origination that provides learning programs in engineering industries. This study analyses the implementation of ISO 9001:2015 within the service organization. The rationale behind the study is to aid management to understand ISO 9001:2015 and align it with the organization’s mission to attain optimum performance while providing the stakeholders with pinnacle quality. A descriptive approach using both quantitative and qualitative methods were utilized to analyze the data gathered from respondents (70 customers). The data was collected within the organization based on the business experience of the respondents. The analysis showed that many complaints from customers on the quality of the service delivered were recorded highlighting that the service company needs improvement in the central administration department and improves the efficiency of the learner’s registration. The complaints management graph highlights that the organization needs improvement in the communication process with learners. Nevertheless, it was concluded that some learners are also satisfied with the call center personnel and the service they receive from them.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116328522","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309928
Yufan Zhang, Yaoqi Shao, Junfeng Wang, Shiqi Li
In order to drive production performance analysis of discrete manufacturing system, it has become a widespread concern to realize accurate and rapid mapping from physical shop-floors to virtual shop-floors considering the characteristics of online production. A digital twin model framework for production performance analysis is proposed and details the function of each module in physical space and virtual space. A simulation model mapping scheme for discrete manufacturing shop-floors is presented and a complete simulation model is divided into a data model, a logic model and a visualization model, where the whole process of model mapping and fusion is elaborated. The case study of mechanical parts manufacturing workshop is carried out and the results show that the effectiveness of the simulation model mapping method and timely production performance analysis based on real data.
{"title":"Digital Twin-based Production Simulation of Discrete Manufacturing Shop-floor for Onsite Performance Analysis","authors":"Yufan Zhang, Yaoqi Shao, Junfeng Wang, Shiqi Li","doi":"10.1109/IEEM45057.2020.9309928","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309928","url":null,"abstract":"In order to drive production performance analysis of discrete manufacturing system, it has become a widespread concern to realize accurate and rapid mapping from physical shop-floors to virtual shop-floors considering the characteristics of online production. A digital twin model framework for production performance analysis is proposed and details the function of each module in physical space and virtual space. A simulation model mapping scheme for discrete manufacturing shop-floors is presented and a complete simulation model is divided into a data model, a logic model and a visualization model, where the whole process of model mapping and fusion is elaborated. The case study of mechanical parts manufacturing workshop is carried out and the results show that the effectiveness of the simulation model mapping method and timely production performance analysis based on real data.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115453009","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309965
Mahsa Ebrahimian, R. Kashef
Recommendation systems, especially collaborative filtering recommenders, are vulnerable to shilling attacks as some profit-driven users may inject fake profiles into the system to alter recommendation outputs. Current shilling attack detection methods are mostly based on feature extraction techniques. The hand-designed features can confine the model to specific domains or datasets while deep learning techniques enable us to derive deeper level features, enhance detection performance, and generalize the solution on various datasets and domains. This paper illustrates the application of two deep learning methods to detect shilling attacks. We conducted experiments on the MovieLens 100K and Netflix Dataset with different levels of attacks and types. Experimental results show that deep learning models can achieve an accuracy of up to 99%.
{"title":"Efficient Detection of Shilling’s Attacks in Collaborative Filtering Recommendation Systems Using Deep Learning Models","authors":"Mahsa Ebrahimian, R. Kashef","doi":"10.1109/IEEM45057.2020.9309965","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309965","url":null,"abstract":"Recommendation systems, especially collaborative filtering recommenders, are vulnerable to shilling attacks as some profit-driven users may inject fake profiles into the system to alter recommendation outputs. Current shilling attack detection methods are mostly based on feature extraction techniques. The hand-designed features can confine the model to specific domains or datasets while deep learning techniques enable us to derive deeper level features, enhance detection performance, and generalize the solution on various datasets and domains. This paper illustrates the application of two deep learning methods to detect shilling attacks. We conducted experiments on the MovieLens 100K and Netflix Dataset with different levels of attacks and types. Experimental results show that deep learning models can achieve an accuracy of up to 99%.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177680","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309843
Shijin Wang, Jiaolong Wang
By far, the researches on the pricing methods of export commodity from China are very limited. This paper proposes a pricing model for export commodity by taking risk factors and trade terms into account. More specifically, the pricing of bulk export commodities is affected by many factors, including cost factors, market supply and demand factors and risk factors. Cost factors include production costs and logistics costs, market supply and demand factors represent that commodity prices are affected by market supply and demand conditions, and risk factors mainly mean that different choices of trade terms, cost, insurance and freight (CIF) or free on board (FOB), will cause suppliers to bear different risks. In this paper, the economic order quantity (EOQ) model is used to quantify production costs, the "base price + freight index fluctuation" model and the "base price + fuel price fluctuation" model are used to quantify logistics costs, and the risk costs under the influence of risk factors are calculated based on historical data. Finally, a pricing model for commodities based on different trade terms (CIF or FOB) is established, and the optimal prices can be determined.
{"title":"Trade-terms Based Pricing Method for Export Commodity","authors":"Shijin Wang, Jiaolong Wang","doi":"10.1109/IEEM45057.2020.9309843","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309843","url":null,"abstract":"By far, the researches on the pricing methods of export commodity from China are very limited. This paper proposes a pricing model for export commodity by taking risk factors and trade terms into account. More specifically, the pricing of bulk export commodities is affected by many factors, including cost factors, market supply and demand factors and risk factors. Cost factors include production costs and logistics costs, market supply and demand factors represent that commodity prices are affected by market supply and demand conditions, and risk factors mainly mean that different choices of trade terms, cost, insurance and freight (CIF) or free on board (FOB), will cause suppliers to bear different risks. In this paper, the economic order quantity (EOQ) model is used to quantify production costs, the \"base price + freight index fluctuation\" model and the \"base price + fuel price fluctuation\" model are used to quantify logistics costs, and the risk costs under the influence of risk factors are calculated based on historical data. Finally, a pricing model for commodities based on different trade terms (CIF or FOB) is established, and the optimal prices can be determined.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"51 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116320859","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309866
Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, S. Schmitt, R. Schmitt
The objective of this paper is the optimization of failure management in production. For this purpose, the failure management process was considered in terms of its interaction with the operational activities in an assembly line. The process for production-related failure management is sufficiently described in the literature, but so far only a few approaches exist that analyze the interactions between production and quality processes in a dynamic model. In this paper, an existing model was taken up and further developed to represent individual assembly lines. The further developed model was programmed as a System Dynamics model that is provided in this paper.
{"title":"A Failure Handling Process Model for Failure Management in Manual Assembly","authors":"Robin Exner, Quoc Hao Ngo, Junjie Liang, Max Ellerich, Robin Günther, S. Schmitt, R. Schmitt","doi":"10.1109/IEEM45057.2020.9309866","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309866","url":null,"abstract":"The objective of this paper is the optimization of failure management in production. For this purpose, the failure management process was considered in terms of its interaction with the operational activities in an assembly line. The process for production-related failure management is sufficiently described in the literature, but so far only a few approaches exist that analyze the interactions between production and quality processes in a dynamic model. In this paper, an existing model was taken up and further developed to represent individual assembly lines. The further developed model was programmed as a System Dynamics model that is provided in this paper.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115549463","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309791
N. S. Uletika, B. Hartono, T. Wijayanto
In response to the advancement of digitalization technology, the future of assembly works and associated training methods seem to evolve. Gamification, i.e. the use of game design elements in nongame contexts seem to give a potential application for training procedures in the context of assembly work. However, the study on this field is still very limited. Thus, we investigate the following topics pertaining to assembly works and gamification: (a) how is the future of industrial assembly; (b) what methods are currently used to train the assembly workers; and (c) is gamification prospective for such training. From 20 out of 53 related studies, we eventually found the most relevant literatures. The results indicate that traditional training has not met the requirements of future trends, while augmented reality training methods, may offer extra benefits than the counterparts. The concept of gamification in which operators are directly involved, appropriate with skill-based assembly work requiring hands on experience. Further cognitive considerations and physiological measurements during experiment are required to improved HCI assembly work training systems design, especially within the gamification element context.
{"title":"Gamification in Assembly Training: A Systematic Review","authors":"N. S. Uletika, B. Hartono, T. Wijayanto","doi":"10.1109/IEEM45057.2020.9309791","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309791","url":null,"abstract":"In response to the advancement of digitalization technology, the future of assembly works and associated training methods seem to evolve. Gamification, i.e. the use of game design elements in nongame contexts seem to give a potential application for training procedures in the context of assembly work. However, the study on this field is still very limited. Thus, we investigate the following topics pertaining to assembly works and gamification: (a) how is the future of industrial assembly; (b) what methods are currently used to train the assembly workers; and (c) is gamification prospective for such training. From 20 out of 53 related studies, we eventually found the most relevant literatures. The results indicate that traditional training has not met the requirements of future trends, while augmented reality training methods, may offer extra benefits than the counterparts. The concept of gamification in which operators are directly involved, appropriate with skill-based assembly work requiring hands on experience. Further cognitive considerations and physiological measurements during experiment are required to improved HCI assembly work training systems design, especially within the gamification element context.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752128","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 : 2020-12-14DOI: 10.1109/IEEM45057.2020.9309987
M. Riesener, C. Dölle, J. Koch, G. Schuh
Across all industries, companies face the challenge of managing the complexity offered externally to customers while at the same time mastering or, if necessary, reducing internal complexity. However, due to volatile markets, increasing need for individualization and shorter product life cycles, companies tend to respond with a greater variety of products. In addition, the increasing number of externally offered product and component variants are subject to continuous change over time. In order to manage product-induced complexity, analyses of the market, the product and the processes are of importance. For this purpose, existing approaches insufficiently address the use of existing company data. Therefore, this paper aims at the development of a data model to improve the transparency and controllability of product complexity. This is achieved by accessing decision-relevant information.
{"title":"Data Model for Managing Product Complexity","authors":"M. Riesener, C. Dölle, J. Koch, G. Schuh","doi":"10.1109/IEEM45057.2020.9309987","DOIUrl":"https://doi.org/10.1109/IEEM45057.2020.9309987","url":null,"abstract":"Across all industries, companies face the challenge of managing the complexity offered externally to customers while at the same time mastering or, if necessary, reducing internal complexity. However, due to volatile markets, increasing need for individualization and shorter product life cycles, companies tend to respond with a greater variety of products. In addition, the increasing number of externally offered product and component variants are subject to continuous change over time. In order to manage product-induced complexity, analyses of the market, the product and the processes are of importance. For this purpose, existing approaches insufficiently address the use of existing company data. Therefore, this paper aims at the development of a data model to improve the transparency and controllability of product complexity. This is achieved by accessing decision-relevant information.","PeriodicalId":226426,"journal":{"name":"2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115526454","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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