Pub Date : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978565
H. Arai, Harumi Haraguchi
In recent years, technical innovation is also expanded in the field of housing construction. The unit basic reinforcing rod system (BRS) is one of important innovation of “layout of reinforcement bar process” in the making of the housing base. This process was performed by handwork in the past, many housing construction sites are using BRS at now. The BRS is made in factory and production process are complicated. Therefore, the process systematization is behind. A manufacturing premise of BRS is regarded as a flow shop system that the lot sizing condition is different every process. In addition, the first process of BRS is a cutting process. It is also important for making of BRS. In this study, an efficient scheduling method is proposed using the priority of the lot sizing condition and a cutting process.
{"title":"A Study on Skip Flow Shop Scheduling Considering with a Cutting Process in Reinforcing Bar Manufacturing","authors":"H. Arai, Harumi Haraguchi","doi":"10.1109/IEEM44572.2019.8978565","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978565","url":null,"abstract":"In recent years, technical innovation is also expanded in the field of housing construction. The unit basic reinforcing rod system (BRS) is one of important innovation of “layout of reinforcement bar process” in the making of the housing base. This process was performed by handwork in the past, many housing construction sites are using BRS at now. The BRS is made in factory and production process are complicated. Therefore, the process systematization is behind. A manufacturing premise of BRS is regarded as a flow shop system that the lot sizing condition is different every process. In addition, the first process of BRS is a cutting process. It is also important for making of BRS. In this study, an efficient scheduling method is proposed using the priority of the lot sizing condition and a cutting process.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115338811","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978865
Andrea Huarhua-Machuca, Victor Nuñez-Ponce, Ernesto Altamirano, J. Alvarez-Merino
The main problem facing an electrode manufacturer is the high rate of defective products. Among the factors that have given rise to the defects are downtimes due to line changes and disorganized workstations during production processes. To solve this problem, a proposal was developed using the 5S and Single Minute Exchange of Die (SMED) tools to reduce the number of production defects. To support this analysis, a simulation will be carried out, seeking a considerable reduction of defective products within the production area. Implementing the Lean manufacturing philosophy, the number of defective products was reduced by 11.23%, thereby improving the quality of the production process and yielding economic benefits.
{"title":"Applying Lean Techniques to Reduce Defective Products: A Case Study of an Electrode Manufacturing Company","authors":"Andrea Huarhua-Machuca, Victor Nuñez-Ponce, Ernesto Altamirano, J. Alvarez-Merino","doi":"10.1109/IEEM44572.2019.8978865","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978865","url":null,"abstract":"The main problem facing an electrode manufacturer is the high rate of defective products. Among the factors that have given rise to the defects are downtimes due to line changes and disorganized workstations during production processes. To solve this problem, a proposal was developed using the 5S and Single Minute Exchange of Die (SMED) tools to reduce the number of production defects. To support this analysis, a simulation will be carried out, seeking a considerable reduction of defective products within the production area. Implementing the Lean manufacturing philosophy, the number of defective products was reduced by 11.23%, thereby improving the quality of the production process and yielding economic benefits.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117076347","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}
Sharing economy has been a phenomenon in many countries for years owing to a number of factors such as the economic recession which contributes to a pervasive thinking of renting over buying. This paper examines the sharing behavior in sharing economy based on social capital theory and social exchange theory, and looks at the example of USPACE, a start-up company providing shared parking services in metropolis, Taiwan. The research covers the urban areas in Taipei and Kaohsiung and collects data of USPACE users. A total of 160 copies of questionnaire have been distributed and 151 valid copies returned, a valid response rate of 94.4%. The Partial Least Squares (PLS) has been used for empirical analysis. The findings show that trust and identification will significantly affect the intention to share, so will extrinsic rewards and the enjoyment in helping others, while norms and reciprocity do not have significant impacts on the sharing intention. The results not only extend the application of social capital and social exchange theory, but also provide directions for future studies from sharing economy's perspective of various industries.
{"title":"Factors that Influence Sharing Behaviors in Sharing Economy Based on the Theory of Social Capital and Social Exchange: Example of Taiwan-Based USPACE","authors":"Chung-Lun Wei, Yu-Chun Chang, Wen-Xuan Wang, Hsiao-Ming Chou, Kuan-Jung Chen","doi":"10.1109/IEEM44572.2019.8978908","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978908","url":null,"abstract":"Sharing economy has been a phenomenon in many countries for years owing to a number of factors such as the economic recession which contributes to a pervasive thinking of renting over buying. This paper examines the sharing behavior in sharing economy based on social capital theory and social exchange theory, and looks at the example of USPACE, a start-up company providing shared parking services in metropolis, Taiwan. The research covers the urban areas in Taipei and Kaohsiung and collects data of USPACE users. A total of 160 copies of questionnaire have been distributed and 151 valid copies returned, a valid response rate of 94.4%. The Partial Least Squares (PLS) has been used for empirical analysis. The findings show that trust and identification will significantly affect the intention to share, so will extrinsic rewards and the enjoyment in helping others, while norms and reciprocity do not have significant impacts on the sharing intention. The results not only extend the application of social capital and social exchange theory, but also provide directions for future studies from sharing economy's perspective of various industries.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114771875","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978540
Markus Thomas Bockholt, J. Kristensen, B. V. Wæhrens, S. Evans
The natural biosphere operates according to a system of nutrients and metabolisms, in which there is no such thing as waste. Forming an eternal cycle, which iteratively recycles its major nutrients. This objective is what many industrial organizations aim for by closing industrial material and product loops in the Technosphere. In doing so industrial organisations aim to drive sustainability, ensure supply resilience and explore new financial revenue streams. Unlike the biosphere, the technosphere is immature, often failing to prove financial vitality and hence scalability. This paper utilizes biomimicry to cross fertilize natural intelligence, which evolved over millions of years. Biological organism ensures vitality (surplus of calories) by foraging for food, a process, which contains continuous search and digestion processes, optimized to environmental conditions through evolution. This paper explores how biological search and digestion strategies can be exploited in industrial product takeback systems to make informed decisions for maximizing industrial vitality (surplus of financial income).
{"title":"Learning from the Nature: Enabling the Transition Towards Circular Economy Through Biomimicry","authors":"Markus Thomas Bockholt, J. Kristensen, B. V. Wæhrens, S. Evans","doi":"10.1109/IEEM44572.2019.8978540","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978540","url":null,"abstract":"The natural biosphere operates according to a system of nutrients and metabolisms, in which there is no such thing as waste. Forming an eternal cycle, which iteratively recycles its major nutrients. This objective is what many industrial organizations aim for by closing industrial material and product loops in the Technosphere. In doing so industrial organisations aim to drive sustainability, ensure supply resilience and explore new financial revenue streams. Unlike the biosphere, the technosphere is immature, often failing to prove financial vitality and hence scalability. This paper utilizes biomimicry to cross fertilize natural intelligence, which evolved over millions of years. Biological organism ensures vitality (surplus of calories) by foraging for food, a process, which contains continuous search and digestion processes, optimized to environmental conditions through evolution. This paper explores how biological search and digestion strategies can be exploited in industrial product takeback systems to make informed decisions for maximizing industrial vitality (surplus of financial income).","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115049209","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978598
Rui Oliveira, C. Cubo, Rui Estrada, A. C. Fernandes, P. Afonso, M. Carvalho, P. Sampaio, J. Roque, M. Rebelo
This paper proposes a methodology to develop and implement a Composite Indicator (CI) to measure the performance of Supply Chain processes. It reflects the aggregation of individual measures, related to the same process, with a weighted average, in order to assess the global performance in terms of both efficiency and effectiveness. Through a case study in a manufacturing company, a concept validation was performed by implementing the methodology in the Return process of the Supply Chain. The results showed that the combination between a Composite Indicator and a Business Intelligence tool provides a better understanding of the overall performance of a given process, facilitating also the identification of root causes. This paper aims to contribute to the supply chain performance management research field, proposing a methodology to implement a Composite Indicator, which is a topic insufficiently explored in the existent literature.
{"title":"A Composite Indicator for Supply Chain Performance Measurement: A Case Study in a Manufacturing Company","authors":"Rui Oliveira, C. Cubo, Rui Estrada, A. C. Fernandes, P. Afonso, M. Carvalho, P. Sampaio, J. Roque, M. Rebelo","doi":"10.1109/IEEM44572.2019.8978598","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978598","url":null,"abstract":"This paper proposes a methodology to develop and implement a Composite Indicator (CI) to measure the performance of Supply Chain processes. It reflects the aggregation of individual measures, related to the same process, with a weighted average, in order to assess the global performance in terms of both efficiency and effectiveness. Through a case study in a manufacturing company, a concept validation was performed by implementing the methodology in the Return process of the Supply Chain. The results showed that the combination between a Composite Indicator and a Business Intelligence tool provides a better understanding of the overall performance of a given process, facilitating also the identification of root causes. This paper aims to contribute to the supply chain performance management research field, proposing a methodology to implement a Composite Indicator, which is a topic insufficiently explored in the existent literature.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116829544","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978700
P. Sirisawat, N. Hasachoo, Thunwa Kaewket
The objective of this study focus on the investigation and prioritization of the inventory performance indicators in the university hospital. The results of this study found that in the group of main criteria quality (Q) is the most important indicator for inventory management in the university hospital. For sub-criteria, patient safety e.g. delays, errors (Q4) is the most important indicators in the group of quality, replenishment time (T1) is the most important indicator in the group of the time, inventory cost (F1) is the most important indicators in the group of financial. Inventory turnover (P1) is the most important indicators in the group of productivity Therefore, the presented results of this study will help the people who do work in the healthcare industry or related industry for using to be the guideline for improving the performance of inventory management.
{"title":"Investigation and Prioritization of Performance Indicators for Inventory Management in the University Hospital","authors":"P. Sirisawat, N. Hasachoo, Thunwa Kaewket","doi":"10.1109/IEEM44572.2019.8978700","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978700","url":null,"abstract":"The objective of this study focus on the investigation and prioritization of the inventory performance indicators in the university hospital. The results of this study found that in the group of main criteria quality (Q) is the most important indicator for inventory management in the university hospital. For sub-criteria, patient safety e.g. delays, errors (Q4) is the most important indicators in the group of quality, replenishment time (T1) is the most important indicator in the group of the time, inventory cost (F1) is the most important indicators in the group of financial. Inventory turnover (P1) is the most important indicators in the group of productivity Therefore, the presented results of this study will help the people who do work in the healthcare industry or related industry for using to be the guideline for improving the performance of inventory management.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934032","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978541
P. Kalaya, P. Termsuksawad, T. Wasusri
The pattern of lumpy demand affects the healthcare industry such as small community hospitals which encounter sporadic demands of slow-moving medicines. The objective of this work aimed to study performance of forecasting methods for inventory planning. This work compared two forecasting methods: Croston(CR) and the Teunter, Syntetos, and Babai's (TSB) methods. Furthermore, this work proposed a combination of Exponential and Poisson distribution and the use of average inter-demand interval combining with average demand to forecast lumpy demand. It assumed that amount of on-hand inventory would be equal to forecasting values. Mean square error (MSE) and number of shortage period were used as performance indicators of these methods. The simulation used 2 types of vital medicines, obtained from the community hospital in Mae Hong Son province from January 2015 to December 2017. The results from CR and TSB methods provided lower MSEs when the smoothing constants were unchanged until 12 weeks. Meanwhile, adjusting the smoothing constants every 4 weeks provided lower shortages. Meanwhile, the other two proposed methods led to lower shortages comparing with those of CR and TSB methods.
集中需求的模式影响了医疗保健行业，如小型社区医院，这些医院遇到了对缓慢流动药物的零星需求。本研究的目的是研究库存规划预测方法的性能。本研究比较了两种预测方法:Croston(CR)和Teunter, Syntetos, and Babai (TSB)方法。在此基础上，本文提出将指数分布与泊松分布相结合，利用平均需求间区间与平均需求相结合的方法来预测块状需求。它假设手头库存的数量等于预测值。以均方误差(MSE)和短缺期数作为这些方法的性能指标。模拟使用了2015年1月至2017年12月从湄宏顺省社区医院获得的两种重要药物。CR和TSB方法的结果显示，当平滑常数不变时，mse较低，直至12周。同时，每4周调整平滑常数可以降低短缺。同时，与CR和TSB方法相比，另外两种方法的不足之处也较小。
{"title":"Forecasting Lumpy Demand for Planning Inventory: The Case of Community Hospitals in Thailand","authors":"P. Kalaya, P. Termsuksawad, T. Wasusri","doi":"10.1109/IEEM44572.2019.8978541","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978541","url":null,"abstract":"The pattern of lumpy demand affects the healthcare industry such as small community hospitals which encounter sporadic demands of slow-moving medicines. The objective of this work aimed to study performance of forecasting methods for inventory planning. This work compared two forecasting methods: Croston(CR) and the Teunter, Syntetos, and Babai's (TSB) methods. Furthermore, this work proposed a combination of Exponential and Poisson distribution and the use of average inter-demand interval combining with average demand to forecast lumpy demand. It assumed that amount of on-hand inventory would be equal to forecasting values. Mean square error (MSE) and number of shortage period were used as performance indicators of these methods. The simulation used 2 types of vital medicines, obtained from the community hospital in Mae Hong Son province from January 2015 to December 2017. The results from CR and TSB methods provided lower MSEs when the smoothing constants were unchanged until 12 weeks. Meanwhile, adjusting the smoothing constants every 4 weeks provided lower shortages. Meanwhile, the other two proposed methods led to lower shortages comparing with those of CR and TSB methods.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116497632","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978833
Yuchen Shi, Nan Chen
Data-driven methods based on Supervisory Control and Data Acquisition (SCADA) becomes a recent trend for wind turbine condition monitoring. However, SCADA data are known to be of low quality due to low sampling frequency and complex turbine working dynamics. In this work, we focus on the phase I analysis of SCADA data to better understand turbines' operating status. As one of the most important characterization, the power curve is used as a benchmark to represent normal performance. A powerful distribution-free control chart is applied after the power generation is adjusted by an accurate power curve model, which explicitly takes into account the known factors that can affect turbines' performance. Informative out-of-control segments have been revealed in real field case studies. This phase I analysis can help improve wind turbine's monitoring, reliability, and maintenance for a smarter wind energy system.
基于SCADA (Supervisory Control and Data Acquisition)的数据驱动方法已成为风电机组状态监测的发展趋势。然而，由于采样频率低和涡轮工作动态复杂，SCADA数据的质量很低。在这项工作中，我们将重点放在SCADA数据的第一阶段分析上，以更好地了解涡轮机的运行状态。作为最重要的特性之一，功率曲线被用作表示正常性能的基准。通过精确的功率曲线模型对发电量进行调整后，应用了功能强大的无分布控制图，该控制图明确考虑了已知的影响涡轮机性能的因素。在实际的现场案例研究中揭示了信息失控部分。第一阶段的分析可以帮助改善风力涡轮机的监测、可靠性和维护，以实现更智能的风能系统。
{"title":"Phase I Analysis of Hidden Operating Status for Wind Turbine","authors":"Yuchen Shi, Nan Chen","doi":"10.1109/IEEM44572.2019.8978833","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978833","url":null,"abstract":"Data-driven methods based on Supervisory Control and Data Acquisition (SCADA) becomes a recent trend for wind turbine condition monitoring. However, SCADA data are known to be of low quality due to low sampling frequency and complex turbine working dynamics. In this work, we focus on the phase I analysis of SCADA data to better understand turbines' operating status. As one of the most important characterization, the power curve is used as a benchmark to represent normal performance. A powerful distribution-free control chart is applied after the power generation is adjusted by an accurate power curve model, which explicitly takes into account the known factors that can affect turbines' performance. Informative out-of-control segments have been revealed in real field case studies. This phase I analysis can help improve wind turbine's monitoring, reliability, and maintenance for a smarter wind energy system.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115346784","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978843
Shih-Wen Ke, Chih-Wei Yeh
Previous studies proposed different hierarchical estimation approaches for solving certain specific domain problems. They usually combine two or more estimation models in a hierarchical fashion. Therefore, in our previous work [2], we proposed a hierarchical approach for generic purposes, the Hierarchical Classification and Regression (HCR), that incorporates classification and estimation techniques. The HCR [2] approach significantly outperformed three benchmark flat estimation models. Having seen the potential of the proposed HCR as a generic hierarchical regression scheme, we propose to further improve the HCR by introducing feature selection (FS) techniques to the HCR. In order to thoroughly investigate the effect of FS on the HCR, we examine different numbers of attributes remained after feature selection with respect to datasets of various sizes. The results showed that the HCR with linear regression performed significantly better than the other HCRs while feature selection helped lower the RMSE slightly with only 50% of the original features.
{"title":"Hierarchical Classification and Regression with Feature Selection","authors":"Shih-Wen Ke, Chih-Wei Yeh","doi":"10.1109/IEEM44572.2019.8978843","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978843","url":null,"abstract":"Previous studies proposed different hierarchical estimation approaches for solving certain specific domain problems. They usually combine two or more estimation models in a hierarchical fashion. Therefore, in our previous work [2], we proposed a hierarchical approach for generic purposes, the Hierarchical Classification and Regression (HCR), that incorporates classification and estimation techniques. The HCR [2] approach significantly outperformed three benchmark flat estimation models. Having seen the potential of the proposed HCR as a generic hierarchical regression scheme, we propose to further improve the HCR by introducing feature selection (FS) techniques to the HCR. In order to thoroughly investigate the effect of FS on the HCR, we examine different numbers of attributes remained after feature selection with respect to datasets of various sizes. The results showed that the HCR with linear regression performed significantly better than the other HCRs while feature selection helped lower the RMSE slightly with only 50% of the original features.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121851186","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 : 2019-12-01DOI: 10.1109/IEEM44572.2019.8978748
Daniel Saad, S. Rötzer, M. Zimmermann
Flexible development processes and robust designs are crucial for today's highly dynamic project environments. Agile methods such as Scrum have gained popularity over the years as an effective approach to address these challenges. Although known for providing flexibility, these methods often lack robustness in designs. Pursuing multiple design concepts can be more advantageous when faced with unforeseen changes and uncertainty. Set-based design (SBD) involves the development of alternative designs in a dynamic setting that, as a result, are both robust and flexible. In this paper, we provide a practical approach to combine SBD with the Scrum methodology by using sprint backlogs. It has been proved that the application of SBD, even in small agile projects, can have advantages. We present our results in a product-oriented way to increase the applicability of our approach.
{"title":"Set-based Design in Agile Development: Developing a Banana Sorting Module - A Practical Approach","authors":"Daniel Saad, S. Rötzer, M. Zimmermann","doi":"10.1109/IEEM44572.2019.8978748","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978748","url":null,"abstract":"Flexible development processes and robust designs are crucial for today's highly dynamic project environments. Agile methods such as Scrum have gained popularity over the years as an effective approach to address these challenges. Although known for providing flexibility, these methods often lack robustness in designs. Pursuing multiple design concepts can be more advantageous when faced with unforeseen changes and uncertainty. Set-based design (SBD) involves the development of alternative designs in a dynamic setting that, as a result, are both robust and flexible. In this paper, we provide a practical approach to combine SBD with the Scrum methodology by using sprint backlogs. It has been proved that the application of SBD, even in small agile projects, can have advantages. We present our results in a product-oriented way to increase the applicability of our approach.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914144","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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