{"title":"The Correlation Analysis between Logistics Performance and Financial Performance of Thai Industry","authors":"Suphawadi Chakkham, K. Tippayawong","doi":"10.1145/3335550.3335576","DOIUrl":"https://doi.org/10.1145/3335550.3335576","url":null,"abstract":"The main purpose of this paper is to analyze correlation and explore the logistics scorecard factors that are influencing the implementation of financial performance in the Thai industry. The data collected from the logistics scorecard appraisal forms of 254 sectors in Thailand. Factor Analysis (Principal component analysis: PCA) Technique was applied to the construct validity of factors to extract factors of logistics scorecard indicators from all 23 items. The factor scores of the generated elements were analyzed by using correlation techniques and regression analysis with dependent variables as selected financial ratios.\u0000 The results of the paper demonstrated that three organizational factors were Organizational Management and development factor, Service and Responsiveness factor and Information Management factor. Also, the Information Management factor influenced Receivable Turnover Ratio, Assets to Equity ratio and Debt to Equity ratio at a significant level.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123659062","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":"Development of a Deep Learning-LSTM Trend Prediction Model of Stock Prices","authors":"E. M. Torralba","doi":"10.1145/3335550.3335585","DOIUrl":"https://doi.org/10.1145/3335550.3335585","url":null,"abstract":"Stocks prices follow the Brownian motion process that moves in a random and erratic state making it impossible to determine the future price based on the historical performance of the stock. However, the availability of the historical data of stock prices can't be ignored as it might hold hidden patterns that manifest the behavior of investors as well as the market sentiments and political conditions. Thus, investors have adapted mathematical models of regression and neural network analysis to process the stock's historical data along with the traditional fundamental analysis in forecasting the trend of stock prices. Neural network models have changed the landscape of formulating informed decisions on how investors can minimize their risks on their investments. However, deep learning models are dependent on the different hyper-parameters such as epochs, number of nodes in hidden layers, and number of hidden layers in order to produce the best trend prediction model as applied in stock investments. Unfortunately, the available literature and empirical studies are limited specifically on the number of hidden layers of deep learning models. This study attempts to explore the appropriate number of hidden layers to optimize the accuracy of a trend prediction model in stock trading.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126088321","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":"Applied Fuzzy Multi-Objective with α-Cut Analysis for Optimizing Supply Chain Master Planning Problem","authors":"Noppasorn Sutthibutr, N. Chiadamrong","doi":"10.1145/3335550.3335571","DOIUrl":"https://doi.org/10.1145/3335550.3335571","url":null,"abstract":"Providing an efficient supply chain master planning is vital to companies to achieve competitive advantage. In this point of view, we propose the fuzzy multi-objective linear model with α-cut analysis to achieve the optimal supply chain master planning in an uncertain environment. The supply chain master planning problem; one manufacturer, multiple suppliers, and multiple distribution centers, is considered under two conflicting objectives where operating costs, demand, and production capacity are imprecise. The first objective is to minimize the total costs of logistics and the other objective is to maximize total value of purchasing. The proposed model and solution method are validated through numerical example. Computational results indicate that α-cut analysis is introduced to ensure decision makers that the result satisfies their preferences based on a specified minimum allowed satisfaction value (α).","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128241858","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 Effect of Knowledge Management and Decision Making Levels of Supply Chain","authors":"Sawangwong Anurak, Chaopaisarn Poti","doi":"10.1145/3335550.3339899","DOIUrl":"https://doi.org/10.1145/3335550.3339899","url":null,"abstract":"This research is to evaluate the effect of knowledge management (KM) on decision-making levels of supply chain (DMSC) in relations to organizational performance (OP). This research has gathered questionnaire survey from 255 Thai manufacturing firms. Structural equation modeling (SEM) was utilized to create a causal model to assess the relationships in between KM, DMSC and OP. The result has shown that KM strongly correlates with both DMSC and OP.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125442024","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":"Regional Administrative Measures Promote Safe Development of Chemical Industrial Parks in Shandong Province of China","authors":"Jian Sun, Tao Chen, Hongyong Yuan","doi":"10.1145/3335550.3335559","DOIUrl":"https://doi.org/10.1145/3335550.3335559","url":null,"abstract":"This paper describes background and main points of a regional administrative measure that aims to mitigate integrated risks of chemical industrial park. In the fourth quarter of 2017, administrative measures for authorization of chemical industrial parks in Shandong province were issued officially. Administrative measures presented twelve compulsive requirements and quantitative optimal conditions of five categories, named planning layout, public infrastructure, work safety, environmental protection and economic development. Chemical industrial parks satisfied with all compulsive requirements and get over 60 scores on optimal conditions could apply for authorization. Contributions of administrative measures for development of chemical industrial parks are analyzed. Since implementation of administrative measures, the number of chemical industrial parks decreased from 199 to 85 in Shandong province. More importantly, inherent safety, environmental standard and comprehensive competitiveness of local chemical industrial parks have significant improvements.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125519991","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}
Cheng Heng Uy, Nattanee Charoenlarpkul, T. Sarttra, S. Rajsiri
{"title":"An Efficient Algorithm Applied to Capacitated Vehicle Routing Problem with Consideration of Time Windows by Using Ranking-Based Concept and Dynamic Programming","authors":"Cheng Heng Uy, Nattanee Charoenlarpkul, T. Sarttra, S. Rajsiri","doi":"10.1145/3335550.3335588","DOIUrl":"https://doi.org/10.1145/3335550.3335588","url":null,"abstract":"Capacitated Vehicle Routing Problem and Time-Windows (CVRPTW) is one of the most well-known variations of Vehicle routing problems (VRP), which is a combinatorial optimization and can be classified as NP-hard problem. A considerable number of solving techniques have been proposed not only exact and heuristic, but also metaheuristic methods. Although the optimal solution can be guaranteed applying the exact algorithms, computational time is the most concern when the problem size is increased. Heuristic methods normally provide solutions with a very fast speed but most of them are local optima. Metaheuristic methods are also other approaches to solve this problem providing much larger search space. However, most of them are on the basis of experiments requiring an extensive number of parameter settings. In this research, a novel efficient approach to solve CVRPTW is proposed using the several concepts of graph traversal with breadth-first search and ranking-based algorithm during the initial route construction, and Dynamic programming is then used for solution improvement with regarding to capacity constraints and time windows. The performance of the proposed method compared to the state-of-the-art algorithms will be very competent in terms of both solution quality and computational time with no effort on parameter settings as a major advantage.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125527757","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":"Positioning Appropriate Knowledge in Knowledge-based Systems","authors":"Zhao Liu, Yixin Chen","doi":"10.1145/3335550.3335554","DOIUrl":"https://doi.org/10.1145/3335550.3335554","url":null,"abstract":"Knowledge management is a crucial means to gain competitive advance and one of its main aims is how to realize the best use of the knowledge asset. This paper aims at the research on how to position the appropriate knowledge according to a given context, for better knowledge asset utilization.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134139934","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":"Minimize Idle Time in Two Sided Assembly Line Balancing Using Exact Search Approach","authors":"A. Yadav, S. Agrawal","doi":"10.1145/3335550.3335591","DOIUrl":"https://doi.org/10.1145/3335550.3335591","url":null,"abstract":"Growing interests of customers in customized products and increasing competitions between companies to configure and balance their manufacturing systems more effectively within limited space and time. Two-sided assembly lines are usually constructed to produce large-sized high volume products such as buses, trucks, automobiles, and some domestic products\u0000 In this paper, the proposed mathematical model is applied to solve benchmark problems of two-sided assembly line balancing problem to maximize the workload on each workstation which tends to increase the compactness in the beginning workstations which also helps to minimize the length and idle time of the line.\u0000 Since the problem is well known as np-hard problem a lingo solver based solution method is proposed to solve the problem. Through computational experiments, the performance of the proposed Lingo model is checked with various benchmark problem instances. Based on the computational results, idle time in mated stations and the length of the mated station's line is decreased.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124830025","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":"Product Selection Strategy Analysis of Crowdsourcing Platform from the Full Cost Perspective","authors":"Ruixue Li, Can Peng, Huiliang Sun","doi":"10.1145/3335550.3335577","DOIUrl":"https://doi.org/10.1145/3335550.3335577","url":null,"abstract":"From the perspective of full cost, this paper uses Coase's transaction cost theory to analyze the causes of crowdsourcing, and on this basis to analyze the applicability of crowdsourcing platform products. At the same time, based on the crowdsourcing platform--zbj.com, we use the big data technology to grasp and analyze the related data of the crowdsourcing platform's successful cases in the past five months, and use the relevant statistical analysis method to categorize and analyze the industry attributes of the top five orders of the success cases of the zbj.com, in order to verify the theory mentioned in the article.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"76 10-11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185271","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":"Subjective Evaluation of Glovebox Gloves on Hand Tactility and Discomfort","authors":"P. Sung, Y. Chiu","doi":"10.1145/3335550.3335567","DOIUrl":"https://doi.org/10.1145/3335550.3335567","url":null,"abstract":"This study evaluated the subjective effects of glovebox gloves on hand tactility and discomfort. Three commercially available glovebox gloves, namely butyl, hypalon, and neoprene in 0.015\" and 0.03\" thickness, were selected for evaluation. The subjects first performed the tip pinch exertions with 11 Newton force repeatedly (12 times/minute) for 15 minutes with bare hand or gloved hands. Then, the subjects were asked right at the end of the tip pinch task to give a numeric score of discomfort using the Borg CR-10 scale. In addition, a disk-criminator was used to perform the static two-point discrimination test (2PD test) on the volar pad of subject's dominant index finger right after the completion of the tip pinch task. The results indicate that all gloved hands increase the discomfort scores significantly than that of bare hand. The results also show that 0.03\" neoprene and hypalon gloves decreased the tactile performance significantly compared to that of bare hand. To maintain tactility and reduce discomfort during glovebox gloves usage, the results of this study indicate that butyl material could be selected since it could offer better performance for these subjective effects. In addition, thinner gloves could also be used to retain better tactility and comfort performances.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129547032","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}