Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering最新文献

{"title":"The Transformation Path of Sports Brands in the Context of Consumption Upgrading","authors":"Shan Wang, G. Fang","doi":"10.1145/3396743.3396777","DOIUrl":"https://doi.org/10.1145/3396743.3396777","url":null,"abstract":"With the change of the main groups and consumption preferences in the China's market, the consumption structure of China residents is transitioning to development and enjoyment. Therefore, in order to better meet consumers and improve market competitiveness, China's domestic brands are facing transformation and upgrading. This article selects four sports brands - Li Ning, Anta, Xtep and 361°- as research objects in the context of consumption upgrade. This article compares and analyzes their brand transformation measures and present management situation, and makes further recommendations about the transformation of China's sports brands.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128075727","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}

{"title":"Modeling Regional Innovative System Performance in China Using A Dynamic Two-Stage SBM Model","authors":"Tzu-Yu Lin, Weihua Huang, H. Chen, Sheng-Hsiung Chiu","doi":"10.1145/3396743.3396773","DOIUrl":"https://doi.org/10.1145/3396743.3396773","url":null,"abstract":"Innovative development has always been an important policy tool for accumulating effective intelligent property to the desirability of all policy makers in China, even more so now as the trade war has seriously threatened the Chinese economy. To understand the efficacy of regional innovative policies, we proposed the dynamic two-stage slacks-based measure (SBM) model with carry-over and intermediate variables, highlighting the importance of the status of invention patent, as granted patent and patent in force, to measure the overall innovative performance for the purposed of regional innovative development, which makes significant difference to previous studies on modelling setting. Using data of 30 provincial administration regions in China for the period of 2011-2017, the average regional innovative system performance is deemed as 0.5858 and we postulated that the difference of commercialization performance among three main areas should be pay attention, because the average performance of commercialization stage in the east area is obviously better than that the west and central areas. Based on this finding, we propose several policy suggestions as the provincial and central government who should be put more efforts on innovative competitiveness, as enhancing the quality and quantity of invention patents and the market-oriented to guild the direction for the R&D stage.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134325627","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}

{"title":"A System Dynamics for Financial Strategy Model Assessment in National Health Insurance System","authors":"D. Kurnianingtyas, B. Santosa, N. Siswanto","doi":"10.1145/3396743.3396754","DOIUrl":"https://doi.org/10.1145/3396743.3396754","url":null,"abstract":"The National Health Insurance System (NHIS) was established by the government to provide health insurance to its people. However, some obstacles will be faced by NHIS. For example, when not having proper financial management, the fiscal budget sector will experience a deficit. The issue is happening in Indonesia. The purpose of this research is to develop and evaluate problem models so it can be used for consideration in determining relevant proposed policies. This research uses NHIS data in Indonesia from 2014 to 2018. The method used is a system dynamics approach. The validation of the SD model uses the mean comparison test and t statistic. Next, the model is tested for sensitivity under extreme conditions of low, basic, and high. Patient variables generate low and high states of 34.34% and 33.24%, respectively, which affect the variable fund inventory about 49.3 trillion and -93.46 trillion, respectively. Otherwise, participant variables affect the supply of funds in low and high conditions were about -19.60 trillion and -26.19 trillion, respectively. It can be concluded variable have a direct influence on the expense variable (patient variable) gives a more dominant effect than the variable gives the overall impact (variable of expense and income) such as participant variables. Therefore, strategies related to patient variables are used as short-term strategies, while those related to participant variables are used as long-term strategies.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132003280","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}

{"title":"Mathematical Modeling and Analysis of Factors Affecting Medical Errors in Emergency Department of Government Hospitals in Province X","authors":"J. I. Palisoc, Marvin I. Noroña","doi":"10.1145/3396743.3396795","DOIUrl":"https://doi.org/10.1145/3396743.3396795","url":null,"abstract":"JCI established a standard for common medical errors in hospitals known as IPSG. This study focused on the emergency departments of government hospitals A to C and a private hospital D. The objective for this study is to know and determine which among the factors must be considered in constructing an emergency department (ED), which lessens medical errors, and to be able to create a mathematical model among the factors. This research used a combination of quantitative correlational research and quasi-experimental research. The data were tested for reliability using the Attribute Agreement Analysis (3A) method in MINITAB v.17 then it proceeded to factor analysis using SPSS, which yields the result of interdependence of the factors to each presence. SEM can be performed to see the partial correlation and multi collinearity of the variables. All of the measurements used were incorporated to create a mathematical model, which aims to analyze the factors. Among the three major factors that were cited, environmental-related (ER) factors ranked the highest correlativity to medical errors or International Patient Safety Goals (IPSGs) with a value of 0.82 versus the other factors of 0.59 and 0.68. Noise and illumination were the two highest contributors of medical errors from ER factors with a value of 0.93 and 0.82, respectively.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827876","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}

{"title":"Analysis of Influencing Factors of Farmers' Satisfaction with Industrial Poverty Alleviation Effect Based on Ordinal Logistic Model: Take the three prefectures of southern Xinjiang in China as an example","authors":"Yuan Gao, Xiao Bai, Li Lu","doi":"10.1145/3396743.3396769","DOIUrl":"https://doi.org/10.1145/3396743.3396769","url":null,"abstract":"Based on a sample survey of 600 farmers in the three prefectures of southern Xinjiang, China, this paper uses questionnaire survey and ordinal Logistic model to study the influencing factors of farmers' satisfaction with the effect of industrial poverty alleviation from a microscopic perspective. The research shows that the cumulative percentage of farmers' satisfaction with the effect of industrial poverty alleviation is 90.7%, and the factors that influence the evaluation of farmers' satisfaction with industrial poverty alleviation are the educational level, the amount of household labor, the annual household income, the types of roads in front of farmers' doors, household fuel, whether rural cadres help farmers to alleviate poverty and the main poverty alleviation methods of the government. Based on this, the corresponding countermeasures are put forward: to continue to improve the embodiment of precision poverty alleviation, to strengthen the intensity of industrial precision poverty alleviation, to increase vocational skills training, to speed up infrastructure construction, based on its own advantages, to develop characteristic industries, to realize the precision poverty alleviation of industries, and to enhance the satisfaction of farmers with industrial poverty alleviation.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846488","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}

{"title":"The Development of Machineries and Technologies to Support Digital Transformation","authors":"Chanikan Musikthong, P. Chutima","doi":"10.1145/3396743.3396764","DOIUrl":"https://doi.org/10.1145/3396743.3396764","url":null,"abstract":"Digital technology has become an important role in organization development. Therefore, it should be aligned with the policy of Thailand Industry 4.0 which helps the country drive forward and is an implementation model for government section, state enterprises, and private section. This policy can help them work efficiently, raise their business value and increase their potential as well as their efficiency of business operation. The case study factory, Security printing business, needs to be researched and be analyzed on an operational plan preparing for Digital transformation. An essential component for the state enterprises in the manufacturing industry is the preparation of automated machinery, digital and innovation technologies with the foundation of a flexible manufacturing system, focusing on the change of working process to Smart Factory. It integrates automated machinery and operators with connected equipment through the network, which covers data collection, controllability, communication, and system operation. So, it prevents the problem of fragmented data in the factory departments when monitoring the status of devices in real-time. This study presents a development plan of machineries and technologies to support digital transformation to apply in organizations such as manufacturing information, machinery integration, security track trace and RFID system to be ready for production and inventory management systems. Furthermore, the factory will be able to support the digital system efficiently as well as to adjust changes in the market in terms of providing fast service and advanced technology to be survived in the future.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072274","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}

{"title":"Pump Scheduling for Water Supply Production using Mathematical Programming","authors":"Chansiri Singhtaun, Wichitra Rungraksa","doi":"10.1145/3396743.3396761","DOIUrl":"https://doi.org/10.1145/3396743.3396761","url":null,"abstract":"This research proposes a mathematical model and a solution for a pump scheduling problem applied in a water supply production plant of the Provincial Waterworks Authority so that the minimum electricity cost is achieved. The branch and cut algorithm in OpenSolver is used to solve the problem. Five pump scheduling scenarios are studied. In the first scenario, the pump scheduling program is implemented in the present production system without production condition changes. In the other scenarios, four main factors are adjusted to analyze the effect on the electricity cost. These factors are the minimum volume of water in a clear water tank, the stock of finished water, the piping capacity, and water demand. The results of the first scenario show that the proposed pump schedules can reduce the electricity cost by 7.87%. The results of the other scenarios indicate that all main factors, except the capacity of the pipe line affect the pump schedules and the electricity cost. The experimental results of these four scenarios yield significant information in regard to production system improvement.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273803","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}

{"title":"Differential Pricing of Closed-loop Supply Chain Based on Recycling Competition between Retailer and Third-party Recycler","authors":"Yan Zou, Sheng Liu","doi":"10.1145/3396743.3396759","DOIUrl":"https://doi.org/10.1145/3396743.3396759","url":null,"abstract":"In a closed-loop supply chain(CLSC) consisting of a manufacturer, a retailer and a third-party recycler, this work takes into account both products competition and recycling channels competition to explore the optimal pricing strategy of the CLSC. It builds the decentralized and centralized differential pricing models respectively, and the numerical examples are conducted to verify the effectiveness and practicality of the proposed models. The results show that under the decentralized decision, the sale price of new products and remanufactured products rises with the increase of product substitution coefficient; when the recycling competitive elasticity coefficient increases, the recycling prices of retailer and third-party recycler rise while the manufacturer's recycling price remains unchanged. Under centralized decision, the recycling prices of retailers and third-party recyclers are not affected by recycling competition. The results also show that the product competition coefficient has a positive impact on the supply chain profit, and the recycling competitive elasticity coefficient has a negative impact on the profit of supply chain participants but benefits customers.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133085111","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}

{"title":"Thailand Automotive Industry: Road to Smart Manufacturing","authors":"Sasiwimon Suebsook, Singha Chaveesuk, Wornchanok Chaiyasoonthorn","doi":"10.1145/3396743.3396784","DOIUrl":"https://doi.org/10.1145/3396743.3396784","url":null,"abstract":"Rapid ICT growth has resulted in many technologies such as cloud computing, the Internet of Things (IoT), and big data. These innovations now reach almost all sectors including automotive sector which is one of the main industries in Thailand, In order to advance research and implementation of smart manufacturing, authors present a conceptual framework of smart manufacturing. Core innovations such as IoT, Cyber Physical Systems and Visual Analytics for Smart Manufacturing Systems will be captured on the basis of demonstrative scenarios. Also highlighted are today's challenges and future prospects.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129138567","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}

{"title":"A Deep Learning-based Approach for Human Posture Classification","authors":"Jui-Sheng Hung, Pin-Ling Liu, Chien-Chi Chang","doi":"10.1145/3396743.3396763","DOIUrl":"https://doi.org/10.1145/3396743.3396763","url":null,"abstract":"Lifting posture is considered as a leading factor in low back injuries in the workplace. Hence, it is necessary to evaluate the risk of various lifting tasks. Classifying postures is important before performing an ergonomic task assessment. Recently, many studies have revealed that the deep learning method has a high accuracy in identifying human postures. However, few studies have explored how the deep learning method can be applied to classify different postures during a lifting task. The objective of this study was to develop a deep learning technique-based model for classifying three states of postures (squatting, standing and stooping) during a lifting task. A dataset comprising 2,600 various static images (squatting, standing and stooping) taken from 0° and 90° camera view angles and their corresponding 3D joint coordinate data recorded by the marker-based motion tracking system was used in this study. The images were randomly divided into training (1,300 images), validation (650 images) and testing (650 images) datasets. After all of the images were cropped to a fixed size, the training dataset was processed in the neural network as the input, and the validation dataset was used to revise the weight of the model while training to build the classifying model. Finally, the testing dataset was processed as input for classifying three static postures using the proposed model. A classification based on the 3D coordinate data captured by the marker-based motion tracking system was used as the reference to validate the accuracy of this classifying model. Overall, the model developed in this study reached 91.23% accuracy. The accuracy of correctly classifying the squatting, standing and stooping postures is 94.35%, 98.33% and 75.86%, respectively. In addition, this model showed a nearly equivalent accuracy for identifying the images taken from 0° (91.64%) and 90° (90.86%) cameras. The results of this preliminary test showed that the deep learning method has the potential to classify different static postures within a lifting pattern.","PeriodicalId":431443,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129156302","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}