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6th International Conference on Information systems, Logistics and Supply Chain, ILS 2016

作者： MacHado, Marcio Cardoso Fernandes, Ana Cristina Sampaio, Paulo Carvalho, Maria Do Sameiro Nóvoa, Henriqueta Silva, Sónia Duarte Business Graduation Program Paulista University São Paulo Brazil Systems and Production Department University of Minho Braga Portugal Department of Industrial Engineering and Management Porto University Porto Portugal

This paper aims to present a theoretical framework for performance measurement of supply chain quality management (SCQM). A review of the literature on supply chain quality management, supply chain and quality management was conducted to develop key performance measurements related to six areas of integration between quality management and supply chain management environment: leadership, continuous improvement and innovation, sustainability, stakeholder involvement and commitment, information, and management and strategic planning. The findings suggest that SCQM integration can be assessed by nine performance measurements. The study contributes to our understanding of quality management practices within a supply chain (SC) environment from an integrated perspective. It extends the concept of supply quality chain integration by focusing on key performance measurement that may help to improve the overall performance of the supply chain.

关键词： Supply chain management

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Ideation of engineering Solutions for Sustainable Development Goals: A Collaborative Course Between Thai and Japanese Students 38

Ideation of Engineering Solutions for Sustainable Developmen...

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38th IEEE Region 10 Conference, TENCON 2023

作者： Krutphong, Kodchakorn Leelawat, Natt Tang, Jing Ota, Eri Suzuki, Rie Murakami Taoka, Yuki Punyabukkana, Proadpran Environmental Engineering and Disaster Management Program Mahidol University Thailand Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Thailand Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Thailand International School of Engineering Chulalongkorn University Thailand Center for International Education Tokyo Institute of Technology Japan School of Environmet and Society Tokyo Institute of Technology Japan Department of Computer Engineering Faculty of Engineering Chulalongkorn University Thailand The Learning Innovation Center Chulalongkorn University Thailand

ISBN: (纸本)9798350302196

A collaborative course called Global Awareness for Technology Implementation was conducted by the Faculty of engineering, Chulalongkorn University, Thailand, and the Tokyo Institute of Technology, Japan. The objective of this course was to facilitate the exchange of knowledge, perspectives, and experiences between Thai and Japanese students through project work, using an engineering design approach and the design thinking process to create innovation relevant to the Sustainable Development Goals (SDGs). During the class, experts shared their knowledge and experiences with the students. The students then worked on their respective projects to develop solution concepts using the design thinking process. The proposed ideas include the application for English class, smart water quality checker, hydrogen-based energy system for rural area, reduced wasted fashion solution, and auto waste sorting machine. Finally, this study concluded with a summary of the results and findings on the empathy process in the chosen SDGs, and of the commonalities and differences between Thailand and Japan in terms of ideation. © 2023 IEEE.

关键词： Students

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Why solve NASA open innovation challenges? An analysis of solver motivations from NASA's Astrobee challenge series 70

Why solve NASA open innovation challenges? An analysis of so...

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70th International Astronautical Congress, IAC 2019

作者： Zhang, Lihui Lydia Szajnfarber, Zoe Technology and Policy Program Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Engineering Management and Systems Engineering George Washington University 800 22nd St NW WashingtonDC20052 United States

In the past decade, NASA and organizations around the world have exploited open challenges as both a source of innovation and a way to increase awareness of their products and business. Some famous examples include the NASA Centennial Challenges, Google Lunar X-Prize, and ESA Grand Challenge. While extensive research has been focused on the novelty and appropriateness of the solutions, and challenge winners have been profiled extensively, little is known about the broader group of participants, and particularly what drives them to participate. Knowing why solvers enter the solving pool can enable organizations, like NASA, to more effectively tap into their motivations and thereby improve challenge efficiency. This paper takes a step towards that goal, analyzing a unique dataset of 9000+ self-reported motivations, produced during the NASA-Freelancer Astrobee Challenge Series. With inductive coding and supervised Natural Language Processing algorithm, we learned the different categories and distributions of motivation from this data set. We then compare such empirical classification to those discussed in literature and by practitioners of open challenges. This enabled a test of whether NASA challenges activate different motivations than do typical challenges. We also coded motivations for specific references to "NASA" and its mission. We found evidence to support "NASA bump", a phenomenon widely discussed in the field but rarely studied, where people are motivated to participate open challenges due to some level of emotional affiliation to NASA. Implications of these findings are discussed. Copyright © 2019 by the International Astronautical Federation (IAF). All rights reserved.

关键词： NASA

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An efficient method for online identification of steady state for multivariate systems 13

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ASME 2018 13th International Manufacturing Science and engineering Conference, MSEC 2018

作者： Xu, Honglun Wu, Jianguo Tseng, Tzu-Liang Bill Computational Science Program University of Texas El PasoTX79968 United States Department of Industrial Engineering and Management Peking University Beijing100871 China Industrial Manufacturing and Systems Engineering University of Texas El PasoTX79968 United States

ISBN: (纸本)9780791851388

Most of the existing steady state detection approaches are designed for univariate signals. For multivariate signals, the univariate approach is often applied to each process variable and the system is claimed to be steady once all signals are steady, which is computationally inefficient and also not accurate. The article proposes an efficient online method for multivariate steady state detection. It estimates the covariance matrices using two different approaches, namely, the mean-squared-deviation and mean-squared-successive-difference. To avoid the usage of a moving window, the process means and the two covariance matrices are calculated recursively through exponentially weighted moving average. A likelihood ratio test is developed to compare the difference of the two covariance matrices and to detect the steady state. The intensive numerical studies and real case study show that the proposed method can accurately detect the steady state of a multivariate system. © Copyright 2018 ASME.

关键词： Covariance matrix

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Selecting and applying quantification models for ecosystem services to forest ecosystems in South Korea

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Journal of Forestry Research 2016年第6期27卷 1373-1384页

作者： Hyun-Ah Choi Woo-Kyun Lee Cholho Song Nicklas Forsell Seongwoo Jeon Joon Soon Kim So Ra Kim Department of Environmental Science and Ecological Engineering Korea University Seoul 02841 Republic of Korea Ecosystems Services and Management Program International Institute for Applied Systems AnalysisSchlossplatz 1 2361 Laxenburg Austria Department of Forest Management Kangwon National University Chuncheon 24341 Republic of Korea Korea Forest Conservation Association 186 Dongjak-daeroSeocho-gu Seoul 06559 Republic of Korea

There is growing interest in using ecosystem services to aid development of management strategies that target sustainability and enhance ecosystem support to humans. Challenges remain in the search for methods and indicators that can quantify ecosystem services using metrics that are meaningful in light of their high priorities. We developed a framework to link ecosystems to human wellbeing based on a stepwise approach. We evaluated prospective models in terms of their capacity to quantify national ecosystem services of forests. The most applicable models were subsequently used to quantify ecosystem services. The Korea Forest Research Institute model sat- isfied all criteria in its first practical use. A total of 12 key ecosystem services were identified. For our case study, we quantified four ecosystem functions, viz. water storage capacity in forest soil for water storage service, reduced suspended sediment for water purification service, reduced soil erosion for landslide prevention service, and reduced sediment yield for sediment regulation service. Water storage capacity in forest soil was estimated at 2142 t/ha, and reduced suspended sediment was estimated at 608 kg/ ha. Reduced soil erosion was estimated at 77 m^3/ha, and reduced sediment yield was estimated at 285 m^3/ha. These results were similar to those reported by previous studies. Mapped results revealed hotspots of ecosystem services around protected areas that were particularly rich in bio- diversity. In addition, the proposed framework illustrated that quantification of ecosystem services could be sup- ported by the spatial flow of ecosystem services. However, our approach did not address challenges faced when quantifying connections between ecosystem indicators and actual benefits of services described.

关键词： Classification Ecosystem services Quantification Stepwise approach

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Finding the Important Elements Linked to Integration Problems in the Use of Enterprise Resource Planning systems 9

Finding the Important Elements Linked to Integration Problem...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Kristin, Desi Maya Pranata, Dewi Sagita Bina Nusantara University BINUS Graduate Program Master of Information Systems Management Information Systems Management Department Jakarta11480 Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics WC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

Organizations face an urgent need to become faster, more efficient, and more successful in their commercial operations, given the current state of technological evolution and the arrival of Industry 4.0. Many businesses have adopted the idea of enterprise resource planning (ERP) systems to achieve this goal. The ERP system is expected to increase worker productivity, improve business performance to maximize profitability and profits, and provide accurate and up-to-date data and information to management and stakeholders. This research aims to find new variables related to integration problems in the use of ERP systems. Using the SPSS statistical program, the data collected will be examined using quantitative exploratory factor analysis (EFA). Data processing then includes collecting demographic information from respondents, reliability testing, conducting the Kaiser-Meyer-Olkin (KMO) test, testing using an anti-image matrix, and deriving new factors using a rotation component matrix. This research seeks to identify new elements underlying ongoing integration problems in ERP system implementation. The research results show several reasons for underlying integration problems and offer in-depth information to management that can be used to analyze and evaluate the ERP system in their company appropriately in the future so that the company's performance becomes superior to the competition. © 2024 IEEE.

关键词： Profitability

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Geographic Variation of Rice Yield Response to Past Climate Change in China

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Journal of Integrative Agriculture 2014年第7期13卷 1586-1598页

作者： YANG Jie XIONG Wei YANG Xiao-guang CAO Yang FENG Ling-zhi College of Resources and Environmental Sciences China Agricultural University Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences International Institute for Applied Systems Analysis (IIASA) Ecosystems Services and Management Program Laxenburg 2361 Austria Department of Agricultural and Biological Engineering University of Florida Gainesville FL 32600-0570 USA

Previous studies demonstrated climate change had reduced rice yield in China, but the magnitude of the reduction and the spatial variations of the impact have remained in controversy to date. Based on a gridded daily weather dataset, we found there were obvious changes in temperatures, diurnal temperature range, and radiation during the rice-growing season from 1961 to 2010 in China. These changes resulted in a signiifcant decline of simulated national rice yield （simulated with CERES-Rice）, with a magnitude of 11.5%. However, changes in growing-season radiation and diurnal temperature range, not growing-season temperatures, contributed most to the simulated yield reduction, which conifrmed previous estimates by empirical studies. Yield responses to changes of the climatic variables varied across different rice production areas. In rice production areas with the mean growing-season temperature at 12-14＆#176;C and above 20＆#176;C, a 1＆#176;C growing-season warming decreased rice yield by roughly 4%. This decrease was partly attributed to increased heat stresses and shorter growth period under the warmer climate. In some rice areas of the southern China and the Yangtze River Basin where the rice growing-season temperature was greater than 20＆#176;C, decrease in the growing-season radiation partly interpreted the widespread yield decline of the simulation, suggesting the signiifcant negative contribution of recent global dimming on rice production in China＇s main rice areas. Whereas in the northern rice production areas with relatively low growing-season temperature, decrease of the diurnal temperature range was identiifed as the main climatic contributor for the decline of simulated rice yield, with larger decreasing magnitude under cooler areas.

关键词： climate change yield responses rice China

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A multiple objective stochastic portfolio selection program with partial information on probability distribution

A multiple objective stochastic portfolio selection program ...

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2nd International Conference on Computer and Network Technology, ICCNT 2010

作者： Masri, Hatem Abdelaziz, Fouad Ben Meftahi, Ines Faculty of Economics Management and Information Systems University of Nizwa Nizwa Oman Engineering System Management Graduate Program College of Engineering American University of Sharjah United Arab Emirates LARODEC Laboratory Institut Supérieur de Gestion University of Tunis 41 Rue de la liberté Le Bardo Tunisia

In this paper, we propose a multiobjective stochastic model with linear partial information on probability distribution (MSPLI) for portfolio selection problem. We apply an extended chance constrained compromise progr... 详细信息

ISBN: (纸本)9780769540429

关键词： Probability distributions

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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The Role of Social Networks Theory and Methodology for Project Stakeholder management

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Procedia - Social and Behavioral Sciences 2016年 226卷 372-380页

作者： Kon Shing Kenneth Chung Lynn Crawford Project Management Program & Centre for Complex Systems Faculty of Engineering & Information Technologies The University of Sydney NSW 2006 Australia

Stakeholder management is a key area in the management of projects. Correctly identifying key players, managing them and influencing them is crucial for the success of projects and programs. Often though, social networks and management literature has demonstrated that the process of work and ideas do not necessarily flow through organisational hierarchy, but rather through informal networks. In this paper, we discuss an overview of the stakeholder management approaches used and some of its limitations. We propose the use of social network theory and methodology is suggested as a viable perspective for stakeholder identification, analysis and management because of its theoretical and methodological rigour and its ability to provide insightful visualisations and useful network metrics to identify key influencers, bottlenecks, informal groups and so on.

关键词： social network analysis stakeholder management stakeholder identification stakeholder analysis

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