2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)最新文献_第8页

Stochastic Nonlinear Programming Model for Power Plant Operation via Piecewise Linearization 基于分段线性化的电厂运行随机非线性规划模型

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978496

Tomoki Fukuba, Tetsuya Sato, T. Shiina, K. Tokoro

{"title":"Stochastic Nonlinear Programming Model for Power Plant Operation via Piecewise Linearization","authors":"Tomoki Fukuba, Tetsuya Sato, T. Shiina, K. Tokoro","doi":"10.1109/IEEM44572.2019.8978496","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978496","url":null,"abstract":"In this paper, we consider the application of mathematical optimization models to energy problems. Using the latest information technology, we try to utilize renewable energy whose output is unstable. Such efforts are collectively called smart communities. Stochastic programming deals with optimization under uncertain conditions. Since the output of solar power generation in a smart community is uncertain, application of stochastic programming is required. Considering practical operational constraints, this model becomes a stochastic programming problem involving nonlinear recourse, which cannot be solved with typical solvers directly. The problem can be reformulated as a large-scale mixed integer programming problem by piecewise linear approximation to obtain an optimal solution. In our algorithm, we add points for piecewise linear approximation iteratively and increase accuracy of the approximation. In numerical experiments, the effectiveness of the stochastic programming model is shown by comparing it with the deterministic model. Moreover, we calculate a recovery period of investment cost for photovoltaic generation and a storage battery and show usefulness of our model when evaluating a practical operation.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"9 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":"123802772","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}

引用次数: 0

Reverse Logistics Barriers: A Case of Plastic Manufacturing Industries in Zambia 逆向物流壁垒:赞比亚塑料制造业的案例

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978640

B. Mwanza, C. Mbohwa

{"title":"Reverse Logistics Barriers: A Case of Plastic Manufacturing Industries in Zambia","authors":"B. Mwanza, C. Mbohwa","doi":"10.1109/IEEM44572.2019.8978640","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978640","url":null,"abstract":"To alleviate the depletion of resources, application of reverse logistics (RL) systems in the plastic manufacturing industries is necessary. Numerous challenges exist in the plastic industry that prevent sustainable RL of Plastic Solid Wastes (PSWs). These challenges include; logistics costs, production costs, raw material availability etc. The study assesses RL barriers facing the Zambian plastic manufacturing and/or recycling industries. It identifies sustainable strategies from success stories in developed economies. The barriers preventing sustainable implementation of RL in the Zambian context include; ‘lack of household participation in PSWs recycling schemes,’ ‘lack of recycling technology and infrastructure,’ ‘ineffective enforcement of extended producer responsibility (EPR),' ‘none-existence of legislations and regulations for effective enforcement of PSWs recycling and recovery,’ and ‘combination of different plastic materials that complicate recycling.’ The study recommends the following strategies for implementation; ‘having a household PSWs segregation system’ and ‘establishment of recycling ssystems for industries in the plastics industry.’ The strategies provided in this paper are applicable to industries that manufacture and /or recycle other products. To policy makers and the government, the paper provides a foundation for developing policies.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 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":"126351158","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}

引用次数: 3

Digital Twin-based Cyber Physical System for Sustainable Project Scheduling 基于数字孪生的可持续项目调度网络物理系统

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978712

R. Chakrabortty, H. Rahman, H. Mo, M. Ryan

{"title":"Digital Twin-based Cyber Physical System for Sustainable Project Scheduling","authors":"R. Chakrabortty, H. Rahman, H. Mo, M. Ryan","doi":"10.1109/IEEM44572.2019.8978712","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978712","url":null,"abstract":"In the presence of increasingly dynamic environments, frequent uncertainties, high customer specifications, strict project deadlines, and stricter requirements on sustainability, modern project managers are challenged in their ability to schedule and control projects. Thus, in the context of sustainable project scheduling problem, two important elements are to be considered as decision variables: the input elements of a scheduling (e.g. resources: workforce, machine, money) that enable the realization of a schedule for a project and the output element that are consequences of the realization of the project (e.g. completion time, energy, noise, pollution, waste etc.). In this context, integration of innovative approaches and concepts under the framework of fourth generation industrial revolution is must to build up a sustainable project scheduling model (SPSM). Considering this burning issue, this paper introduces digital twin (DT) technology and cyber physical system (CPS) principles to develop effective and efficient sustainable project scheduling systems and proposes a framework to show how they are interconnected through physical and cyber layers. The proposed framework is also applied to a real-life energy system as a case study for identification of the degradation of a physical layer.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"51 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":"130326419","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}

引用次数: 4

Perspective Exploratory Methods for Multidimensional Data Analysis 多维数据分析的视角探索性方法

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978643

D. Valis, L. Zák, Z. Vintr

{"title":"Perspective Exploratory Methods for Multidimensional Data Analysis","authors":"D. Valis, L. Zák, Z. Vintr","doi":"10.1109/IEEM44572.2019.8978643","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978643","url":null,"abstract":"Technical practice abounds with numerous diverse data records. Sometimes the data is complete, sometimes it is censored or truncated. It is not always easy and straightforward to record the data. And even after, the data processing is by no means simple, especially when the data forms a significant set of a huge size and large informational diversity. Typically, the data containing more observed variables, either dependent or independent, is called multidimensional. Also, if the multidimensional data contains numerous records, it is not easy to determine which dependent or independent variables are important for further study. Our aim and ambition is to introduce a couple of methods which are very suitable and sometimes absolutely necessary for exploratory data analysis. The methods help us to determine i) the level of significance of the data for single recorded variables, ii) the level of mutual dependence among the data, and iii) the choice of the best representatives for further data study. The recommended methods used for the exploratory data analysis are presented with practical examples.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 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":"130330579","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}

引用次数: 0

Application of Feature Selection Method to Error Factor Extraction of Multifunction Peripheral 特征选择方法在多功能外设误差因子提取中的应用

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978710

M. Ko, Tatsuya Inagi, Masaaki Takada, T. Yano

{"title":"Application of Feature Selection Method to Error Factor Extraction of Multifunction Peripheral","authors":"M. Ko, Tatsuya Inagi, Masaaki Takada, T. Yano","doi":"10.1109/IEEM44572.2019.8978710","DOIUrl":"https://doi.org/10.1109/IEEM44572.2019.8978710","url":null,"abstract":"Multifunction peripheral (MFP) manufacturers provide customers with remote maintenance services, such as supplies provision and automatic firmware updates, to lower customer burdens and to avoid device downtime. Such remote services are required for maintenance so that Japanese machine manufacturers can deliver products to foreign markets, because service bases in overseas locales must cover broader geographical areas than those in Japan. When MFP devices experience a fault, they generally alert users of an error. Although some faults can be solved remotely, there are faults that require an engineer to perform on-site actions. To repair them on-site efficiently, online investigation and pre-assessment of fault factors will be effective. In this paper, we apply the Group Lasso regularization method for logistic regression to select features determined as error factors. We evaluate the engine on two kinds of error examples: those frequently causing alerts in MFP models in the past, and those causing alerts due to part wear. This engine is expected to help engineers determine causal factors of errors.","PeriodicalId":255418,"journal":{"name":"2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"3 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":"130470762","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}

引用次数: 0

Latin American Oil Export Destination Choice: A Machine Learning Approach 拉丁美洲石油出口目的地选择:一种机器学习方法

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978548

H. Jia, R. Adland, Yuchen Wang

引用次数: 1

A Composite Indicator for Supply Chain Performance Measurement: A Case Study in a Manufacturing Company 供应链绩效评价的复合指标——以某制造企业为例

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978598

Rui Oliveira, C. Cubo, Rui Estrada, A. C. Fernandes, P. Afonso, M. Carvalho, P. Sampaio, J. Roque, M. Rebelo

引用次数: 0

Investigation and Prioritization of Performance Indicators for Inventory Management in the University Hospital 大学医院库存管理绩效指标的调查与排序

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978700

P. Sirisawat, N. Hasachoo, Thunwa Kaewket

引用次数: 2

Long Working Hours as a Buffer to Adjust Labor Costs 长时间工作是调整劳动力成本的缓冲

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978590

Takafumi Miyazaki, N. Ouchi

引用次数: 0

A Fault Location Method Considering Distribution Network Partition Based on Deep Learning 一种考虑配电网络划分的深度学习故障定位方法

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2019-12-01 DOI: 10.1109/IEEM44572.2019.8978873

Jiaqing Zhao, Zhongjian Dai, Zhongyao Chen, Hongen Ding, Puliang Du

引用次数: 0