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3rd International Conference on Smart Manufacturing, Industrial and Logistics engineering, SMILE 2023 and the 7th Asian Conference of management Science and Applications, ACMSA 2023

作者： Sakurai, Wataru Nakade, Koichi Nagoya Institute of Technology Systems Management and Engineering Program Gokiso-cho Showa-ku Nagoya-shi Aichi466-8555 Japan

ISBN: (纸本)9789819701933

In recent years, the development of a green supply chain model that takes sustainability into consideration has become an urgent issue in corporate management and policy operation. For example, in the fashion industry, the proper circulation of not only used items purchased by consumers, but also unsold items generated in retail stores is one of the most important issues. In this study, we examine a supply chain model for the appropriate circulation of unsold new products from retail outlets. Specifically, we considered a supply chain model in which a retailer’s inventory is divided into two states under stochastic demand fluctuations: new and old items, and the unsold old items are collected and reproduced by a manufacturer. By formulating this model as a Markov decision process, the optimal decisions regarding the retailer’s ordering policy and the retail price and the manufacturer’s wholesale price are obtained. Optimal investment and appropriate institutional design to reduce CO2 emissions generated in a supply chain are also considered. Specifically, we examine the decision of green investment in manufacturing technology to reduce CO2 emissions when a manufacturer produce items. And we examine the design of a carbon tax system to control CO2 emissions. Sensitivity analysis on the carbon tax system shows that raising the carbon tax rate increases the optimal retail price, the optimal wholesale price, and the optimal green investment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Investments

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Building Composite Performance Index for Broadband Internet Customer Experience 1

Building Composite Performance Index for Broadband Internet ...

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1st IEEE International Symposium on Consumer Technology, ISCT 2024

作者： Nurdianto Singgih, Moses Laksono Gunarta, I Ketut Doctoral Program in Technology Management Interdisciplinary School of Management and Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia Institut Teknologi Sepuluh Nopember Department of Industrial and Systems Engineering Surabaya Indonesia

ISBN: (纸本)9798350365191

The global trend in broadband internet services reveals an increased focus on reliability, customer service, and integrating new technologies like IoT, 5G, or FMC. Customer service is primarily determined by network quality and reliability, price, and the quality of customer support provided by ISPs. Meanwhile, existing network quality measurement methods often involve numerous parameters, ranging from download speed and server response time to video streaming quality, each providing a separate insight into aspects of user experience. Therefore, the importance of the composite index method is becoming increasingly relevant. This method allows the integration of these various parameters into a single, easily understandable integrated index, simplifying complex data analysis into a more concise and interpretable form. As a result of this approach, internet service providers can more effectively monitor and enhance the customer experience and the overall quality of their services for various purposes with a single composite parameter value, providing reassurance and confidence in their operations. © 2024 IEEE.

关键词： Sales

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Metaverse for Public Welfare and the United Nations Sustainable Development Goals

Metaverse for Public Welfare and the United Nations Sustaina...

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2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Umar, Amjad Harrisburg University Information Systems Engineering & Management Program Harrisburg United States

ISBN: (纸本)9781665492256

Metaverse is extremely popular at present in the gaming industry but can it accelerate the advancement of public services as defined by the United Nations Sustainable Development Goals (UN SDGs)? In particular, can metaverse provide any value to developing nations and how can the challenges and risks introduced by the metaverse be addressed through govrnment regulations and policies? This paper presents a systematic analysis of metaverse and utilizes the United Nations SDGs as a metric to explore public welfare aspects of metaverse. A digital transformation Lab is presented for rapid deployment and experimentation with metaverse. © 2022 IEEE.

关键词： Sustainable development

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A Conjoint-based Approach on Determining the Factors Affecting on Preference of Subscribing a Netflix Plan

A Conjoint-based Approach on Determining the Factors Affecti...

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2024 IEEE International Conference on Industrial engineering and engineering management, IEEM 2024

作者： Park, Ji Yong Prasetyo, Yogi Tri Cahigas, Maela Madel L. Nadlifatin, Reny School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

This study uses a conjoint analysis approach to determine the key factors influencing subscriber preferences for subscribing to Netflix plan. In a rapidly evolving industry, understanding the drivers of subscription choices is critical for market success. Through a designed survey, respondents are presented with different hypothetical Netflix subscription plans characterized by attributes such as price, resolution, same time watch device, downloadable device and device specs. By analyzing respondents' answers from these attributes, researchers aim to find out the relatedness of each attribute and levels with the subscription preference. The study's findings can help Netflix make more strategic decisions about plan options and pricing policies, so that it can better serve the wide range of demands and tastes of customers in the cutthroat streaming market. © 2024 IEEE.

关键词： Conjoint analysis Netflix streaming market subscription plan

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Performance Analysis of Ducted-Fan Modules with Axial Impeller

Performance Analysis of Ducted-Fan Modules with Axial Impell...

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2024 International Conference on Precision engineering and Mechanical Manufacturing, PEMM 2024

作者： Shiau, Yau-Ren Fang, Jiunn Huang, Yuan-Chi Department of Industrial Engineering and Systems Management Feng Chia University Taichung407 Taiwan Department of Aerospace and Systems Engineering Feng Chia University Taichung407 Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung407 Taiwan

ISBN: (纸本)9781510683129

Impellers are extensively employed across various industrial sectors and in different industrial systems, such as ducted-fan modules. The configuration of ducted-fan modules can be optimized to achieve high impeller performance, safe and stable operation, and high operational efficiency. This study designed two ducted-fan modules with axial impellers composed of airfoil cascades by using the Fan Calculator software program to analyze their performance and efficiency. The study discovered that the module efficiency varied with the internal impeller diameter, external impeller diameter, and rotational speed. An increase in the outlet angle of the blade tip caused increases in the power generated by, pressure change produced in, and flow rate of the modules, thereby enhancing fan efficiency and module performance. The study makes two contributions. First, it constructed two ducted-fan modules with axial impellers by using the duct to isolate the blades, thus increasing the safety and stability of the fan. Second, it explored the performance and efficiency of impellers with airfoil cascades to enhance fan efficiency and optimize the design of a ducted-fan module. © 2024 SPIE.

关键词： Ducted fan engines

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Personal rapid transit capacity evaluation for inner-city:A detailed micro-simulation study

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International Journal of Transportation Science and Technology 2023年第1期12卷 119-135页

作者： Ran Etgar Erel Avineri Yuval Cohen Ruppin Academic Center Faculty of EngineeringEmek Hefer4025000Israel Afeka College of Engineering Head of Program-Energy and Power Systems EngineeringMivtza Kadesh 38Tel-Aviv 6910717Israel Afeka College of Engineering School of Industrial Engineering and ManagementMivtza Kadesh 38Tel-Aviv 6910717Israel

This paper describes a detailed, discrete-event, micro-simulation study of an inner-city personal rapid transit (PRT) system, for the purpose of evaluating the capacity of such a system and the effect of various parameters on this capacity. While former studies considered various parameters, most considered only a partial set of the overall set of parameters considered by this paper. In many cases these parameters were treated differently from the model proposed here, which thus provides valuable insights for future research. This evaluation is crucial for justifying construction of such a system, and for judging its feasibility and may provide an initial step towards creating a PRT manual, similar to the Transit Capacity and Quality of Service Manual (TCQSM). The complex operation and structure of the problem suggests micro-simulation as a viable tool for this study. This necessitates tailoring a solution using general simulation software rather than a transportation-oriented tool. The simulation evaluated the capacity under three major scenarios related to passenger arrival characteristics. The results show that the capacity is not sensitive to pod velocity, nor to acceleration/deceleration rates, but is sensitive to the number of pods and suggests an optimal pod quantity.

关键词： PRT Simulation Urban transport

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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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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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BLOCKCHAIN TECHNOLOGY FOR TRACEABILITY OF HAZARDOUS MATERIAL IN SEAPORTS 50

BLOCKCHAIN TECHNOLOGY FOR TRACEABILITY OF HAZARDOUS MATERIAL...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Alshaikh, R. Ahmed, V. Bahroun, Z. Engineering Systems and Management PhD Program College of Engineering American University of Sharjah Sharjah United Arab Emirates Department of Industrial Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

Maritime shipping plays a pivotal role in the global transportation system, providing safety and cost-effectiveness. However, it encounters numerous challenges, including port congestion, delivery delays, complex paperwork, unreliable reports on hazardous materials, and difficulties in tracing containers. To address these issues and mitigate risks associated with the transportation of hazardous goods, researchers have explored the implementation of blockchain technology in the maritime sector. Blockchain offers decentralization, transparency, and auditability of transactions, as well as the ability to trace and track cargo, particularly hazardous materials. Despite its potential, there is limited research available on the practical implementation of blockchain for hazardous material traceability. This research paper aims to investigate the application of blockchain technology in enhancing hazardous material traceability in seaports, contributing to the growing body of knowledge regarding blockchain's potential in this area and providing valuable insights for future research and practical implementations. Moreover, the paper suggests a preliminary framework for an optimized blockchain algorithm for hazardous material traceability. The main findings highlight the significant potential of blockchain technology in improving traceability of hazardous materials in seaports. Real-time tracking and monitoring of hazardous materials from origin to destination can be achieved through blockchain's distributed nature, reducing the risk of data manipulation or fraud. The immutability of blockchain records ensures the integrity and accuracy of critical data related to material composition, handling procedures, and safety certifications. Furthermore, blockchain's decentralized control allows for collaborative traceability in seaports, involving stakeholders such as port authorities, shipping companies, regulatory bodies, and manufacturers. This distributed governance model promote

关键词： Blockchain

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OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK M...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

This paper discusses the optimization of hyperparameters of the Multilayer Feedforward (MLF) Artificial Neural Network (ANN), for Automatic Incident Detection (AID) within freeway systems. The MLF model was developed and tested using simulated data generated from VISSIM traffic simulation software. The optimized hyperparameters include the number of hidden layers, the size of hidden layers, the learning rate, momentum, error epsilon, and training cycles. To reduce computational time, a stepwise approach was adopted to optimize these hyperparameters. The model's performance was evaluated based on the Fscore, which is the harmonic mean of the recall and precision metrics. This evaluation metric was used because the AID is an imbalanced binary classification problem, where normal instances are the majority class and incident instances are the minority class. The results showed that optimizing the hyperparameters of the MLF model resulted in a 0.79% improvement in the F-score of the model and a 0.32% improvement in the overall accuracy of the model. The near-optimal hyperparameters for the MLF model were determined to be 1 hidden layer with 35 neurons, a learning rate of 0.015, momentum of 0.9, an error epsilon of 1.00E-10, and 1000 training cycles. The study provides insights into optimizing the hyperparameters of ANNs for AID applications in traffic management systems, which can help improve the performance of such systems. The optimized model can be utilized by Traffic management Centres (TMCs) to detect incidents accurately and in a timely manner, thereby reducing the negative impacts of traffic incidents and ensuring safe and efficient travel for drivers. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Multilayer neural networks

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