Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics最新文献_第7页

Research on ports group internal co-competition based on social network analysis 基于社会网络分析的港口集团内部协同竞争研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611407

L. Shanshan, Gao Hong, Liu Wei

引用次数: 1

Integrated wind and solar power forecasting in China 中国风能和太阳能综合预测

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611466

Y. Zhong-ping, Lei Weimin, G. Feng, Wu Tao, Zhang Gaili, Wang Bin, Rui Xiaoguang, W. Haifeng

{"title":"Integrated wind and solar power forecasting in China","authors":"Y. Zhong-ping, Lei Weimin, G. Feng, Wu Tao, Zhang Gaili, Wang Bin, Rui Xiaoguang, W. Haifeng","doi":"10.1109/SOLI.2013.6611466","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611466","url":null,"abstract":"The renewable power forecasting is very crucial for large-scale renewable energy integration to the electric grid. In this paper, a novel integrated wind and solar power forecasting is proposed. Different with previous systems, the proposed system can predict the power of wind and solar electric farms by combination of the high-resolution predictions of their generating equipments, such as wind turbines and photovoltaic panels. Therefore, the proposed system can better capture the power characteristic of renewable electric farms, and achieve the better forecasting performance. Firstly, the proposed system makes high-resolution numerical weather prediction (NWP) for single generating equipment by leveraging the real-time weather monitoring data. Secondly, it uses a combination of different statistical models to achieve the short-term and very short-term predictions of wind turbines and photovoltaic panels, and then lead to the predictions of wind and solar electric farms. A real-world case in China shows that the system can accurately predict the wind power and photovoltaic power for the next day and the next four hours. The average monthly accuracies of short-term and very short-term forecast are 92% and 94% respectively, which largely outperform the requirement for the state grid.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129091151","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: 7

Improving the accuracy in software effort estimation: Using artificial neural network model based on particle swarm optimization 提高软件工作量估计的准确性:基于粒子群优化的人工神经网络模型

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611406

Zhang Dan

{"title":"Improving the accuracy in software effort estimation: Using artificial neural network model based on particle swarm optimization","authors":"Zhang Dan","doi":"10.1109/SOLI.2013.6611406","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611406","url":null,"abstract":"Recent years, the software industry is growing rapidly and people pay more attention on how to keep high efficiency in the process of software development and management. In the process of software development, time, cost, manpower are all critical factors. At the stage of software project planning, project managers will evaluate these parameters to get an efficient software develop process. Software effort evaluate is an important aspect which includes amount of cost, schedule, and manpower requirement. Hence evaluate the software effort at the early phase will improve the efficiency of the software develop process, and increase the successful rate of software development. This paper proposes an artificial neural network (ANN) prediction model that incorporates with Constructive Cost Model (COCOMO) which is improved by applying particle swarm optimization (PSO), PSO-ANN-COCOMO II, to provide a method which can estimate the software develop effort accurately. The modified model increases the convergence speed of artificial neural network and solves the problem of artificial neural network's learning ability that has a high dependency of the network initial weights. This model improves the learning ability of the original model and keeps the advantages of COCOMO model. Using two data sets (COCOMO I and NASA93) to verify the modified model, the result comes out that PSO-ANN-COCOMO II has an improvement of 3.27% in software effort estimation accuracy than the original artificial neural network Constructive Cost Model (ANN-COCOMO II).","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125525011","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: 30

Dose-response signal estimation and optimization for salesforce management 销售人员管理的剂量-反应信号估计和优化

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611435

Kush R. Varshney, Moninder Singh

引用次数: 4

A system for green personal integrated mobility: A research in progress 绿色个人综合出行系统研究进展

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611371

G. Motta, D. Sacco, Alessandra Belloni, Linlin You

{"title":"A system for green personal integrated mobility: A research in progress","authors":"G. Motta, D. Sacco, Alessandra Belloni, Linlin You","doi":"10.1109/SOLI.2013.6611371","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611371","url":null,"abstract":"We present an ongoing research on an Integrated Real-time Mobility Assistant (IRMA). IRMA is a software system that targets the personal mobility in a near future scenario, based on green, shared and public transports. IRMA handles end-to-end itineraries that may involve multiple transport systems, and encompasses both commuter mobility and visitor mobility. The objective of IRMA is to make practically feasible a mobility that balances efficiency of time, energy/pollution and cost. Therefore, IRMA supports users in plotting the itinerary and also when en-route. IRMA architecture includes a smartphone application and a set of web services to gather and interpret any relevant source of information, that includes open data, crowd data and big data. The technology is SOA/EDA (Service Oriented Architecture / Event Driven Architecture) and uses GTFS format to access open data. IRMA, after being proved on test cases, shall be tested by the students of University of Pavia. IRMA concept is a step ahead current personal mobility systems that simply suggest and track itineraries.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975759","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: 21

Performance evaluation of green supply chain in manufacturing industry 制造业绿色供应链绩效评价

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611390

Na Liu

引用次数: 2

An agent modeling framework for aritificial society: An artificial campus 人工社会的智能体建模框架:一个人工校园

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611479

Bin Chen, Liang Liu, L. Zhang, Y. Ge, X. Qiu

引用次数: 0

Key selection criteria for third party logistics in the IC manufacturing industry IC制造行业第三方物流的关键选择标准

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611456

B. Hwang, Mei-Hua Chen

{"title":"Key selection criteria for third party logistics in the IC manufacturing industry","authors":"B. Hwang, Mei-Hua Chen","doi":"10.1109/SOLI.2013.6611456","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611456","url":null,"abstract":"Globalization and the shift towards outsourcing have strengthened the need for strong relationship between Third Party Logistics (TPL) and the supply chain. The continuing trend of the IC industry disintegration has resulted in specialized companies that are independent yet co-dependent upon one another. To gain the competitive advantage through a seamless integration with TPL, the IC manufacturing industry sets a very high standard of TPL provider selection. The goal of this paper is to identify the key selection criteria of TPL providers from the empirical study of the IC manufacturing industry in Taiwan, one of the largest IC producers worldwide. The research result indicates that Performance, Cost, and Service are the top three criteria dimensions, in which the Document Accuracy, Problem Solving Capability, Continuous Cost Reduction, Cost Control of Value-added Services, and Value-added Services provision are the top five individual selection criteria. The research result can serve as a valuable reference for other companies with similar industrial characteristics as IC manufacturers.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134584906","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: 2

Optimization of green agri-food supply chain network using chaotic PSO algorithm 基于混沌粒子群算法的绿色农产品供应链网络优化

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611459

Q. Tao, Zhexue Huang, Chunqin Gu, Chenxin Zhang

引用次数: 6

Research on horticulture therapy and its promotion in Shenzhen, China 深圳园艺疗法的研究与推广

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611391

Geng Xin, Chen Keshi, Huang Hui, Gao Ruofei

引用次数: 0