{"title":"Many-Objective Parallel Adjacent U-shaped Assembly Line Balancing Operated by Human and Robot","authors":"Arthit Khotsaenlee, P. Chutima","doi":"10.1145/3460824.3460857","DOIUrl":"https://doi.org/10.1145/3460824.3460857","url":null,"abstract":"This research is considered to the Parallel Adjacent U-line(PAUL), which operated by human and robot. Both resources are extensively used in the manufacturing industry. The PAUL is proposed to increase the utilisation of the assembly line because it can use assigned resources for operation between the adjacent U-line (Multi-line workstation). In the line balancing, allocation of tasks, robots, regular workers and disabled workers on the PAUL is known as NP-hard problems. Many conflicting objectives need to optimize simultaneously. The most effective solution to these problems is the meta-heuristic. According to optimize the problem in time limiting, Non-dominated Sorting Genetic Algorithm tree (NSGA-III) is applied to solve the problems. As the result, a comparison between the performance of NSGA-III and MOEA/D by considering GD and IGD metrics showed that NSGA-III were outperformed under GD and IGD metrics for all problems.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133850447","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":"Application of Vendor Managed Inventory in a Deodorant Manufacturing Company","authors":"Rungnapa Liewsomboon, P. Chutima","doi":"10.1145/3460824.3460844","DOIUrl":"https://doi.org/10.1145/3460824.3460844","url":null,"abstract":"The competition in the Fast-Moving Consumer Goods (FMCG) industry has increased significantly in recent years from both domestic and worldwide markets. Manufacturers must prepare enough stock to support fluctuation demand from clients. However, overstock directly affects manufacturing costs. This research applies the Vendor Managed Inventory (VMI) concept to aerosol deodorant products produced by suppliers to improve inventory management aiming at decreasing the storage cost of finish goods at the manufacturer's warehouse as well as raw material and packaging costs at the supplier's warehouse. The result after applying VMI shows that the average storage cost in the manufacturer's warehouse decreases from 28.7% to 19.4% and the storage cost in the supplier's warehouse decreases 15.36%, 15.17%, and 23.09% in September until November 2020, respectively. Also, the supplier can keep the target of service level at 95% order fulfilment and the average service level increases from 98.2% to 98.9%.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127730338","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}
Daniel Braun, Oleksandra Klymenko, Tim Schopf, Yusuf KAAN AKAN, F. Matthes
{"title":"The Language of Engineering: Training a Domain-Specific Word Embedding Model for Engineering","authors":"Daniel Braun, Oleksandra Klymenko, Tim Schopf, Yusuf KAAN AKAN, F. Matthes","doi":"10.1145/3460824.3460826","DOIUrl":"https://doi.org/10.1145/3460824.3460826","url":null,"abstract":"Since the introduction of Word2Vec in 2013, so-called word embeddings, dense vector representation of words that are supposed to capture their semantic meaning, have become a universally applied technique in a wide range of Natural Language Processing (NLP) tasks and domains. The vector representations they provide are learned on huge corpora of unlabeled text data. Due to the large amount of data and computing power that is necessary to train such embedding models, very often, pre-trained models are applied which have been trained on domain unspecific data like newspaper articles or Wikipedia entries. In this paper, we present a domain-specific embedding model that is trained exclusively on texts from the domain of engineering. We will show that such a domain-specific embeddings model performs better in different NLP tasks and can therefore help to improve NLP-based AI in the domain of Engineering.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125842989","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":"Measures of Risk of Tripping and Minimum Foot Clearance When Crossing an Obstacle","authors":"Caijun Zhao, Kai-Way Li, Hehong Xie","doi":"10.1145/3460824.3460848","DOIUrl":"https://doi.org/10.1145/3460824.3460848","url":null,"abstract":"A gait experiment was designed to examine the risk of tripping by analyzing subjective and objective data. The experimental considered both lighting conditions and obstacle conditions. Obstacle conditions were subdivided by obstacle height, type and color contrast. Lighting conditions included normal and dimmed conditions. Six male subjects were recruited. They walked on a walkway and crossed an obstacle. They gave a rating of perceived risk of tripping (PRT) on a five-point scale from 1 no risk to 5 extremely high risk, both before and after the walk. A rating of gait disturbance (RGD), also on a five-point scale, was recorded by a researcher after the subject had overcome the obstacle on the walkway. The minimum foot clearance (MFC) of both the leading and the trailing foot when crossing the obstacle were calculated. The results indicated that obstacle height (p<0.0001) had a significant effect on the PRT both before and after the walk. The effect of obstacle height on the RGD was also significant (p<0.0001). The obstacle type was significant (p<0.0001) on the MFC of both the leading and the trailing foot. PRTbefore was significantly correlated with MFC of lead foot (p<0.01). PRTafter was significantly correlated with MFC of lead foot (p<0.0001), and MFC of trailing foot (p<0.0001). The results of this study provide information for studying the gait and subjective perception when crossing an obstacle, and provide a certain reference for countermeasures to reduce the risk of tripping when crossing an obstacle.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134251428","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":"Research on Search Method of Knowledge Graph of Supply Chain Risk Based on Cascading Effect","authors":"Qiushi. Zhang, Wenxin Mu","doi":"10.1145/3460824.3460842","DOIUrl":"https://doi.org/10.1145/3460824.3460842","url":null,"abstract":"Each enterprise in the supply chain is more susceptible to risks while obtaining more benefits through collaboration. In order to achieve the purpose of reducing cost and increasing efficiency, enterprises should fully understand the risk and choose the best control point. The risk knowledge graph based on DRC chain stores the risk chain composed of multiple risk sources, risks and consequences. In order to fully understand the risk, this study uses the above knowledge graph to design the corresponding graph search method according to the dynamic characteristics of the risk queue of temporary risk. The experimental results show that the search method in this study can match the nodes well, and can search the structure subgraph related to the matching nodes in the knowledge graph to evaluate the system risk, and provide support for selecting the best control point.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130124205","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}
Mery Helda G. Canada, Jenile O. Jaurigue, K. Antonio, Joshua B. Ilagan, Y. Prasetyo
{"title":"Assessment of Fatigue through Working Environment and Hazardous Driving Behavior among Drivers","authors":"Mery Helda G. Canada, Jenile O. Jaurigue, K. Antonio, Joshua B. Ilagan, Y. Prasetyo","doi":"10.1145/3460824.3460849","DOIUrl":"https://doi.org/10.1145/3460824.3460849","url":null,"abstract":"There are scientific studies about Fatigue that leads to decrease in driving performance displaying inattentive and slower reaction time. The review of the literature has provided factors which can influence the onset of fatigue: sleep factors, work factors and health factors which is a major safety hazard to drivers. The research study applied Structural Equation Modeling (SEM) to analyze the interrelationship among driving hours (DH), sleep duration (SD), type of driver (TOD), experience, violations, type of route (TR), comfortability on car controls (CC), traffic density (TD), weather, habit, stress, personality, and fatigue simultaneously. Fatigue is additionally measured by Driver Fatigue Assessment Scale which the researchers have made based on Fatigue Assessment Scale (FAS) and Fatigue Severity Scale (FSS). 254 respondents answered the online survey form conducted by the researchers with 31 questions in total designed to assess fatigue through working environment and hazardous driving among drivers. At the end of the survey, Driver Fatigue Assessment Scale is added to be ranked by 1-5 which is never to always on how frequent they experience the fatigue based on the questions given. The results showed that experience had significant direct effect on DH, TOD was found had significant direct effect on CC, and habit was also found had significant direct effects on personality and stress. In addition, TOD was also found to be a good predictor to CC. The findings suggest that higher value of habit achieved, the higher probability to have stress while the lower value of stress achieved, the lower probability to have fatigue among drivers.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130264705","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":"Evaluating the quality of Fresh Agricultural Products logistics distribution service under C2C mode: Combining AHP and PSO","authors":"Jing Zhao, G. Jang, Fenfang Ye","doi":"10.1145/3460824.3460832","DOIUrl":"https://doi.org/10.1145/3460824.3460832","url":null,"abstract":"∗In recent years, the e-commerce of fresh agricultural products based on \"Internet + agriculture\" has been developing rapidly. However, the quality of logistics distribution service has become the constraint bottleneck of fresh agricultural products in the e-commerce market. Based on the C2C mode and characteristics of fresh agricultural products, the analytic hierarchy process (AHP)was established to evaluate the quality of logistics distribution service. Then, the particle swarm optimization (PSO) algorithm was applied to modify the evaluation results by determining the weights of factors influencing the quality of fresh agricultural products distribution services. The research results put forward countermeasures, fundamentally improve the level of logistics service ability and quality, and provide better customer satisfaction.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121205901","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 International Technology Transfer in Industrial Gas Companies in the Philippines","authors":"Gil Johan Chingkiat, R. Estember","doi":"10.1145/3460824.3460838","DOIUrl":"https://doi.org/10.1145/3460824.3460838","url":null,"abstract":"Developing countries have been looking for ways to improve the economy by producing innovative products. Since most forms of technology used for making production are not available locally, most companies look for required technology in foreign countries. Most studies have been done on analyzing the perspective of company management in regards to the effectiveness of international technology transfer. This study will analyze the effectiveness of international technology transfer from the employees perspective in industrial gas industries where most of the technologies used are not available in the Philippines. The study has surveyed 204 employees about the effectiveness of ITT based on the four latent of horizontal, active, passive, and commercial technology transfer. The results will be calculated by the use of SPS AMOS to determine model fit, effectiveness of each latent and correlations between each latent. The study has determined that the results have an average model fit, the latent are significant, the factors are mostly not significant to their corresponding latent, and the latent have a weak to very weak correlation. The model formed is effective in determining the effectiveness of international technology transfer based on the model fit test however the model can still be improved by adding indicators.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122992999","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":"Risk Assessment for Agricultural Supply Chain Financial Sustainable Development","authors":"Meng Ye","doi":"10.1145/3460824.3460840","DOIUrl":"https://doi.org/10.1145/3460824.3460840","url":null,"abstract":"Rapid agricultural industrialization means that many Chinese small or medium-sized enterprises (SMEs), agricultural industry financial businesses, and core enterprises are seeking agricultural supply chain financial innovation. However, while there are significant benefits to be gained from innovation, agricultural supply chain finance (ASCF) has certain risks, and as the number of nodes in the agricultural supply chain increases, the potential financial risks increase. To scientifically identify the key factors affecting ASCF and to determine the relationships between these factors, this paper first constructs an agricultural supply chain financial risk evaluation index system made up of 16 aspects across five dimensions. Then, to quantitatively analyze the interactions between the factors, a model is developed that combines the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method and the Criteria Importance through Inter-criteria Correlation (CRITIC) method. Finally, a causal classification and importance analysis is conducted based on the quantitative results. It was found that pledge risk, enterprise moral risk, farmer credit risk, core enterprise credit status, operational risk and other factors were the key factors affecting ASCF. These results provide a scientific decision-making basis for ASCF risk assessments and a comprehensive guide for commercial bank risk prevention and agricultural supply chain financial business credit control, which can assist in the achievement of sustainable ASCF development.","PeriodicalId":315518,"journal":{"name":"Proceedings of the 2021 3rd International Conference on Management Science and Industrial Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127277598","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}