Jian Wang, Xinxin Zheng, M. Fu, W. Weng, Yun Zheng
Emergency rescues often face a single or composite disaster environments, such as high temperature, fire smoke, dangerous chemical accidents, explosive, cutting, cryogenic freezing. To research the mechanism of human injury and the principle of personal protection in the disaster environments, the mathematical models of the human injury and personal protection are developed to study the injury mechanism of skin, trunk and respiratory system and the principle of personal protection. An integrated analysis software is developed to simulate the injury process of typical disaster environments to human skin, trunk and respiratory system, which can guide the development of protective materials and equipments. The software system can quickly estimate the risk degree of various disaster environments. It can evaluate protective performance of personal protective equipments, and provide guidance for emergency rescue and disposal.
{"title":"A Numerical Tool for Assessing Disaster Related Injuries and Personal Protective Clothing","authors":"Jian Wang, Xinxin Zheng, M. Fu, W. Weng, Yun Zheng","doi":"10.1145/3335550.3335589","DOIUrl":"https://doi.org/10.1145/3335550.3335589","url":null,"abstract":"Emergency rescues often face a single or composite disaster environments, such as high temperature, fire smoke, dangerous chemical accidents, explosive, cutting, cryogenic freezing. To research the mechanism of human injury and the principle of personal protection in the disaster environments, the mathematical models of the human injury and personal protection are developed to study the injury mechanism of skin, trunk and respiratory system and the principle of personal protection. An integrated analysis software is developed to simulate the injury process of typical disaster environments to human skin, trunk and respiratory system, which can guide the development of protective materials and equipments. The software system can quickly estimate the risk degree of various disaster environments. It can evaluate protective performance of personal protective equipments, and provide guidance for emergency rescue and disposal.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"25 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":"115433832","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}
In the present work, topographical study of machined Ti-5Al- 2.5Sn surface is carried out in the context of Electro-Discharge Machining (EDM). EDM experiments are conducted by varying peak discharge current. Machining performance is evaluated in purview of surface topography which includes study of crater dimension, surface roughness, surface crack density, white layer thickness, material migration, phase alteration and micro- indentation hardness. Results indicated that EDM produces disappointing surface morphology of the machined specimen. Increase in peak currents results in formation of rough surface with severe surface cracks and deposition of thick white layer. Significant transfer of carbon and copper elements is detected through EDS analysis of the machined surface. Pyrolysis of dielectric media and electrode wear promote immigration of such carbon and copper element transfer, respectively. Carbon migration at the machined surface causes precipitation of titanium carbides traced through XRD analysis. Formation of such carbides contributes to higher micro-hardness value up to certain depth beneath the machined surface. Below this hardened layer, microhardness values follow gradual truncation as distance is increased towards bulk of the parent material.
{"title":"Surface Topographical Characteristics of Electro- Discharge Machined Ti-5Al-2.5Sn: Effects of Peak Current","authors":"Thrinadh Jadam, S. Datta, M. Masanta","doi":"10.1145/3335550.3335557","DOIUrl":"https://doi.org/10.1145/3335550.3335557","url":null,"abstract":"In the present work, topographical study of machined Ti-5Al- 2.5Sn surface is carried out in the context of Electro-Discharge Machining (EDM). EDM experiments are conducted by varying peak discharge current. Machining performance is evaluated in purview of surface topography which includes study of crater dimension, surface roughness, surface crack density, white layer thickness, material migration, phase alteration and micro- indentation hardness. Results indicated that EDM produces disappointing surface morphology of the machined specimen. Increase in peak currents results in formation of rough surface with severe surface cracks and deposition of thick white layer. Significant transfer of carbon and copper elements is detected through EDS analysis of the machined surface. Pyrolysis of dielectric media and electrode wear promote immigration of such carbon and copper element transfer, respectively. Carbon migration at the machined surface causes precipitation of titanium carbides traced through XRD analysis. Formation of such carbides contributes to higher micro-hardness value up to certain depth beneath the machined surface. Below this hardened layer, microhardness values follow gradual truncation as distance is increased towards bulk of the parent material.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"89 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":"122950361","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}
Md. Zakir Hossan, Sayeed Islam, Md. Ferdous Khan, Sayma Shammi, M. A. Amin
Bangladesh is a developing country as recognized by the United Nations. The development of industries is one of the main rationales behind this huge achievement. But the safety measures and precautionary systems for industrial hazard management is nowhere to be improved in Bangladesh. Boiler explosion has been a major setback and has lashed the industry for years due to various reasons including ignorance of officials, lack of awareness and sometimes even due to lack of proper facilities. As a matter of fact, the accountability in this sector is thin and has been worsening as time elapses. This paper looks into the cases and analyzes the reason behind the incidents that have taken place in the history of boiler explosion. After much scrutiny, this paper deciphers the ignored parameters that have led to such menaces and thus points out measures to help create awareness and prevent the cases of boiler explosion and loss of lives and property.
{"title":"Boiler Explosion In Bangladesh: Causes, Consequences and Precautions","authors":"Md. Zakir Hossan, Sayeed Islam, Md. Ferdous Khan, Sayma Shammi, M. A. Amin","doi":"10.1145/3335550.3335592","DOIUrl":"https://doi.org/10.1145/3335550.3335592","url":null,"abstract":"Bangladesh is a developing country as recognized by the United Nations. The development of industries is one of the main rationales behind this huge achievement. But the safety measures and precautionary systems for industrial hazard management is nowhere to be improved in Bangladesh. Boiler explosion has been a major setback and has lashed the industry for years due to various reasons including ignorance of officials, lack of awareness and sometimes even due to lack of proper facilities. As a matter of fact, the accountability in this sector is thin and has been worsening as time elapses. This paper looks into the cases and analyzes the reason behind the incidents that have taken place in the history of boiler explosion. After much scrutiny, this paper deciphers the ignored parameters that have led to such menaces and thus points out measures to help create awareness and prevent the cases of boiler explosion and loss of lives and property.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"48 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":"126415062","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}
The increase of e-commerce activities affects many aspects of supply chain decisions, including payment term alternatives. There are many variations of payment terms used in e-commerce practices. The vendor may offer the retailer a combination of several payment terms. It may consist of an advance-cash-credit (ACC) payment scheme, which means that the buyer needs to pay a fraction of the purchasing cost before he receives the item (advance payment). The other payment alternatives are enabling the buyer whether to pay some cash when the item is arrived (cash on delivery), and/or to pay the remaining purchasing cost after a credit period (credit payment). This paper investigates the effect of payment schemes on the supply chain network design. The network consists of an outside supplier, multiple DC's, and multiple retailers. The distribution centers receive an upstream ACC payment from the supplier. The problem is to determine the optimum location, allocation, as well as the inventory cycle time with the objective function of minimize total cost. A continuous approximation is used in the model development, and the concept of time value of money concept is considered. The numerical example is used to demonstrate the solution approach. This paper provides modeling approach that supply chain network designer can use as a reference.
{"title":"A Supply Chain Network Design Under Advance-Cash-Credit Payment Scheme","authors":"Yu-Chung Tsao, Aisyah Dewi Muthi'ah, N. Arvitrida","doi":"10.1145/3335550.3335575","DOIUrl":"https://doi.org/10.1145/3335550.3335575","url":null,"abstract":"The increase of e-commerce activities affects many aspects of supply chain decisions, including payment term alternatives. There are many variations of payment terms used in e-commerce practices. The vendor may offer the retailer a combination of several payment terms. It may consist of an advance-cash-credit (ACC) payment scheme, which means that the buyer needs to pay a fraction of the purchasing cost before he receives the item (advance payment). The other payment alternatives are enabling the buyer whether to pay some cash when the item is arrived (cash on delivery), and/or to pay the remaining purchasing cost after a credit period (credit payment). This paper investigates the effect of payment schemes on the supply chain network design. The network consists of an outside supplier, multiple DC's, and multiple retailers. The distribution centers receive an upstream ACC payment from the supplier. The problem is to determine the optimum location, allocation, as well as the inventory cycle time with the objective function of minimize total cost. A continuous approximation is used in the model development, and the concept of time value of money concept is considered. The numerical example is used to demonstrate the solution approach. This paper provides modeling approach that supply chain network designer can use as a reference.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"20 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":"132824671","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}
Napol Siripibal, S. Supratid, Chaitawatch Sudprasert
This paper presents a comparison study on using softmax, linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) for object recognition. The least effort is needed for hyper-parameter tuning or selection for all such three classifiers. Convolutional neural network (CNN), using feed-forward-architecture deep learning neural network is employed here for efficient feature extraction and reduction. Then, the extracted, reduced features are fed into the classification comparison. The experiments rely on a small-image CIFAR-10 dataset such that a simple, four convolutional-layer CNN architecture can possibly handle effective feature extraction with hardly over-fitting. Recognition performance evaluations rely on averages of precision, recall, F1 scores and accuracy rates, based on 10-fold cross validation for bias reduction purpose. Such performance measures are implemented under balanced as well as unbalanced --class data, respectively referred to equal and uniform-random-sampling unequal --size class dataset. The results indicate a few bits of recognition performance differences regarding F1 scores as well as accuracy rates among the CNN-LDA, CNN-QDA and CNN-softmax, where the balanced-class and unbalanced-class are separately determined. However, the lowest and the highest of the largest wrong prediction cases are generated by CNN-QDA and CNN-softmax respectively for both balanced and unbalanced-class data.
{"title":"A Comparative Study of Object Recognition Techniques: Softmax, Linear and Quadratic Discriminant Analysis Based on Convolutional Neural Network Feature Extraction","authors":"Napol Siripibal, S. Supratid, Chaitawatch Sudprasert","doi":"10.1145/3335550.3335584","DOIUrl":"https://doi.org/10.1145/3335550.3335584","url":null,"abstract":"This paper presents a comparison study on using softmax, linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) for object recognition. The least effort is needed for hyper-parameter tuning or selection for all such three classifiers. Convolutional neural network (CNN), using feed-forward-architecture deep learning neural network is employed here for efficient feature extraction and reduction. Then, the extracted, reduced features are fed into the classification comparison. The experiments rely on a small-image CIFAR-10 dataset such that a simple, four convolutional-layer CNN architecture can possibly handle effective feature extraction with hardly over-fitting. Recognition performance evaluations rely on averages of precision, recall, F1 scores and accuracy rates, based on 10-fold cross validation for bias reduction purpose. Such performance measures are implemented under balanced as well as unbalanced --class data, respectively referred to equal and uniform-random-sampling unequal --size class dataset. The results indicate a few bits of recognition performance differences regarding F1 scores as well as accuracy rates among the CNN-LDA, CNN-QDA and CNN-softmax, where the balanced-class and unbalanced-class are separately determined. However, the lowest and the highest of the largest wrong prediction cases are generated by CNN-QDA and CNN-softmax respectively for both balanced and unbalanced-class data.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"57 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":"114767877","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}
In that research, by using panel data analysis the relationship between G20 countries banks profitabilities and G20 countries inflation rates was found for the period of 2013-2015. Fixed effect was used in the model. When panel data analysis was done for G20 countries, inflation was found to have negative impact on banks profitability. When micro analysis was done on panel data, it was observed that inflation had negative fixed effect on return on assets of developed countries banks and it was observed that inflation had positive fixed effect on return on assets of developing countries banks.
{"title":"Inflation and Bank Profitability: G20 Countries Banks Panel Data Analysis","authors":"Huseyin Cetin","doi":"10.1145/3335550.3335574","DOIUrl":"https://doi.org/10.1145/3335550.3335574","url":null,"abstract":"In that research, by using panel data analysis the relationship between G20 countries banks profitabilities and G20 countries inflation rates was found for the period of 2013-2015. Fixed effect was used in the model. When panel data analysis was done for G20 countries, inflation was found to have negative impact on banks profitability. When micro analysis was done on panel data, it was observed that inflation had negative fixed effect on return on assets of developed countries banks and it was observed that inflation had positive fixed effect on return on assets of developing countries banks.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"1 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":"133014947","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}
The capital structure of enterprises is the embodiment of enterprise financing decisions. Understanding the trend of changes in corporate capital structure is of great significance for understanding the financing behavior of enterprises. This paper uses the panel data of China's A-share listed companies from 2007 to 2017 to reveal the different capital structures of listed companies in different industries. The study found that the capital structure of listed companies in China fluctuated between 2007 and 2013, and remained at a relatively stable level from 2013 to 2017.From a macro perspective, the trend of changes in the capital structure of enterprises and the prosperity index of GDP and economic environment shows a clear consistency. It can be seen that the trend of capital structure changes of listed companies is affected by external economic environment factors. From the perspective of industry differences, the capital structure of each industry has obvious industry characteristics. There is a significant difference in the average level of capital structure between different industries, and it has universality and stability in time. Chinese listed companies should consider their own industry capital structure, the overall trend of change and its influencing factors rationally optimize its own capital structure.
{"title":"Analysis on the Differences of Capital Structure Industry of Chinese Listed Companies and Their Changing Trends","authors":"Y. Jie","doi":"10.1145/3335550.3335582","DOIUrl":"https://doi.org/10.1145/3335550.3335582","url":null,"abstract":"The capital structure of enterprises is the embodiment of enterprise financing decisions. Understanding the trend of changes in corporate capital structure is of great significance for understanding the financing behavior of enterprises. This paper uses the panel data of China's A-share listed companies from 2007 to 2017 to reveal the different capital structures of listed companies in different industries. The study found that the capital structure of listed companies in China fluctuated between 2007 and 2013, and remained at a relatively stable level from 2013 to 2017.From a macro perspective, the trend of changes in the capital structure of enterprises and the prosperity index of GDP and economic environment shows a clear consistency. It can be seen that the trend of capital structure changes of listed companies is affected by external economic environment factors. From the perspective of industry differences, the capital structure of each industry has obvious industry characteristics. There is a significant difference in the average level of capital structure between different industries, and it has universality and stability in time. Chinese listed companies should consider their own industry capital structure, the overall trend of change and its influencing factors rationally optimize its own capital structure.","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":"127868430","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}
Because of the global competition and short life cycle in semiconductor industry, the IC design companies try to keep their competitiveness. Besides the human resources and advanced technology, enhancing the speed of the development is important for market share and time to market. IC designers usually use electronic design automation tool to shorten and verify the development. However, the EDA tools and servers are expensive and limited. Hence, it becomes a critical problem to allocate the resources and schedule the jobs. This study aims to develop the decision support system framework for IC design job scheduling. The framework enhances the throughput and reduces waiting time. In practice, this study implements the proposed framework in an IC design service company in Taiwan as the empirical study. The empirical study reduced 77.4% of waiting time and 60% of makespan.
{"title":"Real Time Electronic Design Automation (EDA) Scheduling System in IC Design Industry","authors":"Jia-Nian Zheng, Chen-Fu Chien, Tzu-Yu Lin","doi":"10.1145/3335550.3335566","DOIUrl":"https://doi.org/10.1145/3335550.3335566","url":null,"abstract":"Because of the global competition and short life cycle in semiconductor industry, the IC design companies try to keep their competitiveness. Besides the human resources and advanced technology, enhancing the speed of the development is important for market share and time to market. IC designers usually use electronic design automation tool to shorten and verify the development. However, the EDA tools and servers are expensive and limited. Hence, it becomes a critical problem to allocate the resources and schedule the jobs. This study aims to develop the decision support system framework for IC design job scheduling. The framework enhances the throughput and reduces waiting time. In practice, this study implements the proposed framework in an IC design service company in Taiwan as the empirical study. The empirical study reduced 77.4% of waiting time and 60% of makespan.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"252 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":"122486936","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}
In this paper, in order to improve the comprehensive reliability of the ship and improve its maintenance engineering, the domestic anti-rear device of a marine ship in China is taken as the research.The system structure and working principle of the anti-rear device of the naval gun are analyzed. Compared with the previous FMECA method, which is difficult to obtain quantitative results after partial fuzzy description, a fuzzy comprehensive evaluation method is used to improve the FMECA method to form a fuzzy FMECA method in this paper. The selection principle of reliability key parts and the quantitative risk analysis of process failure mode are given. The functional FMECA table is obtained through fault mode data analysis. The results show that the highest damage in the manufacture of the control rod is the roughness in the grinding process.It also shows that the fuzzy FMECA is effective and has a positive effect on improving the reliability of the system. Improvement measures are proposed for this failure mode,at the same time, the maintenance engineering of the anti-rear device of the naval gun is also given.
{"title":"Reliability Analysis and Maintenance Engineering of Anti-rear Device Based on Fuzzy FMECA","authors":"Jingying Liu, Yang Hu","doi":"10.1145/3335550.3335553","DOIUrl":"https://doi.org/10.1145/3335550.3335553","url":null,"abstract":"In this paper, in order to improve the comprehensive reliability of the ship and improve its maintenance engineering, the domestic anti-rear device of a marine ship in China is taken as the research.The system structure and working principle of the anti-rear device of the naval gun are analyzed. Compared with the previous FMECA method, which is difficult to obtain quantitative results after partial fuzzy description, a fuzzy comprehensive evaluation method is used to improve the FMECA method to form a fuzzy FMECA method in this paper. The selection principle of reliability key parts and the quantitative risk analysis of process failure mode are given. The functional FMECA table is obtained through fault mode data analysis. The results show that the highest damage in the manufacture of the control rod is the roughness in the grinding process.It also shows that the fuzzy FMECA is effective and has a positive effect on improving the reliability of the system. Improvement measures are proposed for this failure mode,at the same time, the maintenance engineering of the anti-rear device of the naval gun is also given.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"40 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":"115163715","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}
In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.
本文研究了玻璃容器制造工厂中具有序列相关设置时间的并行同机调度问题。以最小完工时间为目标，为82种产品和9台相同的独立型材机在一次成形过程中提供最优生产计划。机器设置时间取决于产品的生产顺序。在Excel中使用Visual Basic for Applications，根据输入数据和从数据库中导入的数据建立数学模型。采用OpenSolver和Premium Solver进行分支割算法求解。从程序的答案被翻译和说明的表格和甘特图，报告生产顺序和总完工时间。结果表明，OpenSolver有能力在3.65小时内解决20种产品和4台机器的问题，这是案例研究公司在使用现有生产计划时的最大问题规模。利用Premium Solver对9台机器的82种产品提出了新的生产计划或进度表。新的生产计划使完工时间在74.25分钟内降低了4.79%。
{"title":"An Application of Production Scheduling Problems with Sequence-Dependent Setup Time in a Glass Bottle Forming Process","authors":"Chansiri Singhtaun, Thanaphat Nutchaphan","doi":"10.1145/3335550.3335587","DOIUrl":"https://doi.org/10.1145/3335550.3335587","url":null,"abstract":"In this research, a parallel identical machine scheduling problem with sequence-dependent setup time is applied in a glass container manufacturing plant. The production scheduling program is developed to provide the optimal production schedule for 82 products with 9 identical individual section machines in a forming process with a minimum makespan objective. The machine setup time depends on the sequence of products produced. By using Visual Basic for Applications in Excel, a mathematical model is developed from input data and imported data from a database. The problem is solved by branch and cut algorithm using OpenSolver and Premium Solver. The answers from the program are translated and illustrated in terms of tables and Gantt charts that report the production sequence and total makespan. The results show that OpenSolver has the capability to solve the problem of 20 products and 4 machines, which is the maximum problem size of the case study company when using a present production plan within 3.65 hours. A new production plan or schedule for 82 products with 9 machines using Premium Solver is also proposed. The new production schedules give 4.79% lower makespan within 74.25 minutes.","PeriodicalId":312704,"journal":{"name":"Proceedings of the 2019 International Conference on Management Science and Industrial Engineering - MSIE 2019","volume":"25 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":"125738902","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}
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