Sutrisino SUTRISNO, Widowati WIDOWATI, Robertus Heri Soelistyo UTOMO
In manufacturing and retail industries, supplier selection problems deal with allocating the optimal raw material amount that should be purchased to each supplier such that the procurement cost is minimal. Meanwhile, production planning problems deal with maximizing the product amount to be produced. Decision-makers need to take optimal decisions for those problem to gain the maximal revenue. In this paper, a novel mathematical model in the class of probabilistic piecewise programming is proposed as a decision-making support that can be used to find the optimal decision in solving both integrated supplier selection and production planning problems involving discounts and probabilistic parameters. The objective is to gain the optimal performance of the supply chain, i.e., maximizing the profit from the production activity. The model covers multi-raw material, multi-supplier, multi-product, and multi-buyer situations. Numerical experiments were conducted to evaluate the proposed model and to illustrate how the optimal decision is taken. Results showed that the proposed decision-making support successfully solved the problem and provided the optimal decision for the given problem. Therefore, the proposed model can be implemented by decision-makers/managers in industries.
{"title":"Probabilistic Piecewise-Objective Optimization Model for Integrated Supplier Selection and Production Planning Problems Involving Discounts and Probabilistic Parameters: Single Period Case","authors":"Sutrisino SUTRISNO, Widowati WIDOWATI, Robertus Heri Soelistyo UTOMO","doi":"10.55549/epstem.1371794","DOIUrl":"https://doi.org/10.55549/epstem.1371794","url":null,"abstract":"In manufacturing and retail industries, supplier selection problems deal with allocating the optimal raw material amount that should be purchased to each supplier such that the procurement cost is minimal. Meanwhile, production planning problems deal with maximizing the product amount to be produced. Decision-makers need to take optimal decisions for those problem to gain the maximal revenue. In this paper, a novel mathematical model in the class of probabilistic piecewise programming is proposed as a decision-making support that can be used to find the optimal decision in solving both integrated supplier selection and production planning problems involving discounts and probabilistic parameters. The objective is to gain the optimal performance of the supply chain, i.e., maximizing the profit from the production activity. The model covers multi-raw material, multi-supplier, multi-product, and multi-buyer situations. Numerical experiments were conducted to evaluate the proposed model and to illustrate how the optimal decision is taken. Results showed that the proposed decision-making support successfully solved the problem and provided the optimal decision for the given problem. Therefore, the proposed model can be implemented by decision-makers/managers in industries.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113071","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}
Tugrul OKTAY, Firat SAL, Oguz KOSE, Abdullah KOCAMER
{"title":"Stochastic Longitudinal Autopilot Tuning for Best Autonomous Flight Performance of a Morphing VTOL Drone","authors":"Tugrul OKTAY, Firat SAL, Oguz KOSE, Abdullah KOCAMER","doi":"10.55549/epstem.1371783","DOIUrl":"https://doi.org/10.55549/epstem.1371783","url":null,"abstract":"<jats:p />","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"39 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113691","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}
Water and energy are the two most essential assets for a sustainable global human society. However, the high carbon footprint and global warming effects caused by non-renewable sources have made energy transition a key element to ensure sustainable development. Currently, hydrogen produced from water supplied by renewable energy is considered an ideal and sustainable energy carrier for the future. Herein, we investigate experimentally and theoretically using MatLab modeling the production of hydrogen via PV supplied alkaline electrolysis of water coupled to 40 kHz ultrasonic bath. Nickel plates and nickel foam were used as electrode’s material immerged in 25% of KOH electrolyte while a 12V solar panel was used as a green source of power supply. The experimental and the modeling results related to the ultrasounds effect on hydrogen production efficiency showed a high agreement. The integration of ultrasound showed a reduction in electrode coverage by bubbles of approximately 54.8%, which was equivalent to 9.32% of the reduction in cell voltage according to the experiments.
{"title":"Green Hydrogen from PV-Supplied Sono-Electrolysis: Modelling and Experimental Investigations of the Mechanism and Performance","authors":"Nour Hane MERABET, Kaouther KERBOUA","doi":"10.55549/epstem.1363356","DOIUrl":"https://doi.org/10.55549/epstem.1363356","url":null,"abstract":"Water and energy are the two most essential assets for a sustainable global human society. However, the high carbon footprint and global warming effects caused by non-renewable sources have made energy transition a key element to ensure sustainable development. Currently, hydrogen produced from water supplied by renewable energy is considered an ideal and sustainable energy carrier for the future. Herein, we investigate experimentally and theoretically using MatLab modeling the production of hydrogen via PV supplied alkaline electrolysis of water coupled to 40 kHz ultrasonic bath. Nickel plates and nickel foam were used as electrode’s material immerged in 25% of KOH electrolyte while a 12V solar panel was used as a green source of power supply. The experimental and the modeling results related to the ultrasounds effect on hydrogen production efficiency showed a high agreement. The integration of ultrasound showed a reduction in electrode coverage by bubbles of approximately 54.8%, which was equivalent to 9.32% of the reduction in cell voltage according to the experiments.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113841","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}
Surgical procedures are complex in nature and operative time is subject to variability influenced by many factors. Accurate estimation of the surgical operation duration not only helps to maximize Operation rooms’ efficiency, but also helps to optimize hospital resources which are a crucial factor in planning surgical procedures. In this regard, Al techniques such as machine learning and deep learning promise to significantly improve the duration estimation by identifying hidden factors and make more accurate prediction. They achieve this success by identifying latent factors which are generally hard to be explored by human intelligence. Eventually, accuracy in time estimation added to a good scheduling optimization leads to make more efficient utilization of hospital resources by better aligning Operation Room, relevant equipment, and human resources. This study addresses the recent trends in research on surgical operations duration estimation, considering the relevant factors.
{"title":"Technological Trend Analysis for Surgical Operation Duration Estimation","authors":"Ziya KARAKAYA, Bahadır TATAR","doi":"10.55549/epstem.1368277","DOIUrl":"https://doi.org/10.55549/epstem.1368277","url":null,"abstract":"Surgical procedures are complex in nature and operative time is subject to variability influenced by many factors. Accurate estimation of the surgical operation duration not only helps to maximize Operation rooms’ efficiency, but also helps to optimize hospital resources which are a crucial factor in planning surgical procedures. In this regard, Al techniques such as machine learning and deep learning promise to significantly improve the duration estimation by identifying hidden factors and make more accurate prediction. They achieve this success by identifying latent factors which are generally hard to be explored by human intelligence. Eventually, accuracy in time estimation added to a good scheduling optimization leads to make more efficient utilization of hospital resources by better aligning Operation Room, relevant equipment, and human resources. This study addresses the recent trends in research on surgical operations duration estimation, considering the relevant factors.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136114579","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}
Tailings consolidation is a critical step in mining waste management. Tailings are a byproduct of mining and mineral processing operations, and they are typically composed of finely ground rock particles, water, and reagents used in the mineral processing. The tailings disposal is a significant environmental and safety concern, as unconsolidated or unstable tailings can result in catastrophic failures and environmental damage. Therefore, it is crucial to use reagents for tailings consolidation to ensure the stability and safety of tailings storage facilities (TSFs). That is the reason to decide to test different dewatering aids to determine which one gives the best results in tailings dewatering. Many experiments were carried out using the reagents Aerodri 104, Aerodri 105, PEG – 400, and polyvinylpyrrolidone K30 and K90. Factors such as water release, consolidation speed, and consolidation time were considered and monitored. The best results are obtained with the Aerodri 104 using 300 g/t and 500 g/t reagents.
{"title":"Improved Tailings Consolidation Using Dewatering Agents: A Step towards Safer and Sustainable Mining Waste Management","authors":"Ljupcho DIMITROV, Irena GRIGOROVA","doi":"10.55549/epstem.1365798","DOIUrl":"https://doi.org/10.55549/epstem.1365798","url":null,"abstract":"Tailings consolidation is a critical step in mining waste management. Tailings are a byproduct of mining and mineral processing operations, and they are typically composed of finely ground rock particles, water, and reagents used in the mineral processing. The tailings disposal is a significant environmental and safety concern, as unconsolidated or unstable tailings can result in catastrophic failures and environmental damage. Therefore, it is crucial to use reagents for tailings consolidation to ensure the stability and safety of tailings storage facilities (TSFs). That is the reason to decide to test different dewatering aids to determine which one gives the best results in tailings dewatering. Many experiments were carried out using the reagents Aerodri 104, Aerodri 105, PEG – 400, and polyvinylpyrrolidone K30 and K90. Factors such as water release, consolidation speed, and consolidation time were considered and monitored. The best results are obtained with the Aerodri 104 using 300 g/t and 500 g/t reagents.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136114598","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}
Thi Minh Nhut VO, Chia-nan WANG, Fu-chiang YANG, Van Thanh Tien NGUYEN
Over the years the significance of energy has greatly increased due to the pressing need to tackle climate change and reduce our dependence on fuels. Solar power, wind energy and hydroelectric power are considered as alternatives that can meet our energy requirements. By incorporating these energy sources into our mix, we can reap benefits such as job creation and economic growth particularly in rural and remote areas. To evaluate the potential of energy production in 11 countries a study was conducted using Data Envelopment Analysis (DEA) EBM analysis. The study considered three factors; the number of patents related to renewable energy, the capacity of energy installations and the gross domestic product (GDP). The output that was analyzed focused on energy production. The countries included in this study were Australia, Brazil, China, France, Germany, Japan, Netherlands, South Korea, Spain United Kingdom, and United States. This study’s findings provide policymakers and investors with a framework for assessing each country’s capability to generate energy. This methodology offers insights that can guide policy decisions concerning energy production across different nations.
{"title":"Renewal Energy Efficiency Assessment","authors":"Thi Minh Nhut VO, Chia-nan WANG, Fu-chiang YANG, Van Thanh Tien NGUYEN","doi":"10.55549/epstem.1374936","DOIUrl":"https://doi.org/10.55549/epstem.1374936","url":null,"abstract":"Over the years the significance of energy has greatly increased due to the pressing need to tackle climate change and reduce our dependence on fuels. Solar power, wind energy and hydroelectric power are considered as alternatives that can meet our energy requirements. By incorporating these energy sources into our mix, we can reap benefits such as job creation and economic growth particularly in rural and remote areas. To evaluate the potential of energy production in 11 countries a study was conducted using Data Envelopment Analysis (DEA) EBM analysis. The study considered three factors; the number of patents related to renewable energy, the capacity of energy installations and the gross domestic product (GDP). The output that was analyzed focused on energy production. The countries included in this study were Australia, Brazil, China, France, Germany, Japan, Netherlands, South Korea, Spain United Kingdom, and United States. This study’s findings provide policymakers and investors with a framework for assessing each country’s capability to generate energy. This methodology offers insights that can guide policy decisions concerning energy production across different nations.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113508","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 modern age and the associated rise in living standards have been achieved at the cost of enormous environmental damage. The environmental degradation of today, the environmental devastation of previous years, and global warming have presented the world with new and novel challenges that were not experienced in previous decades. Rising sea levels, increasing energy demand and the explosion in energy prices have created new focal points in the thinking of all spheres of economic life. All these environmental factors require a new and fresh approach to future sustainability. New solutions to energy supply are needed and solutions to sea-level rise must be sought. In this article, we undertake to examine in detail the Maldives floating city and the European energy island project from a user's perspective, specifically in terms of its progress and exemplary value. In this paper, we will examine the two flagship projects through the results of a primary research conducted in 2022 and 2023, formulating the main messages for the design of future projects.
{"title":"User Evaluation of Innovative Megaprojects Induced by Environmental Change Using Primary Data","authors":"Janos VARGA, Agnes CSISZARIK-KOCSIR","doi":"10.55549/epstem.1371812","DOIUrl":"https://doi.org/10.55549/epstem.1371812","url":null,"abstract":"The modern age and the associated rise in living standards have been achieved at the cost of enormous environmental damage. The environmental degradation of today, the environmental devastation of previous years, and global warming have presented the world with new and novel challenges that were not experienced in previous decades. Rising sea levels, increasing energy demand and the explosion in energy prices have created new focal points in the thinking of all spheres of economic life. All these environmental factors require a new and fresh approach to future sustainability. New solutions to energy supply are needed and solutions to sea-level rise must be sought. In this article, we undertake to examine in detail the Maldives floating city and the European energy island project from a user's perspective, specifically in terms of its progress and exemplary value. In this paper, we will examine the two flagship projects through the results of a primary research conducted in 2022 and 2023, formulating the main messages for the design of future projects.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136113684","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 creative industry, the last six months have seen a remarkable and rapid change with the widespread availability of certain AI-based applications for the average user, such as the various Stable Diffusion image generators, the ControlNet that goes with them, and ChatGPT. In particular, the world of illustration, corporate design/design planning, translation, film production, copywriting, virtual education is all undergoing significant and irreversible change. In this article, we summarize what can be known about the impact of AI-assisted digital applications on the labour market for the illustration professionals. Based on exploratory research used in-depth interviews, opinions are markedly divided. Some see AI-assisted applications as a new opportunity, a rapid development of a hybrid toolkit to gain a competitive advantage. Others argue that they represent a threat to daily livelihoods and devalue hand-made creative work. According to business leaders, they can deliver significant cost savings without compromising on the level of quality expected, and on the contrary, they can enhance the user experience.
{"title":"Direct Labor Market Effects of Artificial Intelligence Assisted Applications Based on the Opinions of Illustrators and Company Managers: Hungarian Case Study","authors":"Szilard BERKE","doi":"10.55549/epstem.1374905","DOIUrl":"https://doi.org/10.55549/epstem.1374905","url":null,"abstract":"In the creative industry, the last six months have seen a remarkable and rapid change with the widespread availability of certain AI-based applications for the average user, such as the various Stable Diffusion image generators, the ControlNet that goes with them, and ChatGPT. In particular, the world of illustration, corporate design/design planning, translation, film production, copywriting, virtual education is all undergoing significant and irreversible change. In this article, we summarize what can be known about the impact of AI-assisted digital applications on the labour market for the illustration professionals. Based on exploratory research used in-depth interviews, opinions are markedly divided. Some see AI-assisted applications as a new opportunity, a rapid development of a hybrid toolkit to gain a competitive advantage. Others argue that they represent a threat to daily livelihoods and devalue hand-made creative work. According to business leaders, they can deliver significant cost savings without compromising on the level of quality expected, and on the contrary, they can enhance the user experience.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136114587","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 aim of this work is to synthesize, characterize and evaluate the biological activity of a series of hydrazone derivatives. These compounds were characterized by elemental analysis, IR spectroscopy, mass spectrometry, UV-Vis Spectroscopy, 1HNMR spectra. In vitro, their antibacterial and antifungal activities were screened against bacterial species (Staphylococcus aureus, Pseudomonas aeruginosa and Escherichia coli) and fungi (Candida sp). Amikacin was used as references for antibacterial and antifungal studies. The compounds were optimized at DFT/B3LYP/6-31G (d,p) level of theory. In silico, The Toxicity of the hydrazone derivatives were studied by ADMET(Absorption, distribution, metabolism, excretion, and toxicity) simulations using ADMET lab 2.0 server. The molecular docking studies are carried out to better comprehend the preferential mode of binding of these compounds against biomecular targets such as InhA enzyme characteristic of Mycobacterium Tuberculosis bacteria.
{"title":"Synthesis, Biological Evaluation and Theoretical Studies of Hydrazone Derivatives","authors":"Noura KICHOU, Nabila GUECHTOULI, Karima IGHILAHRIZ, Manal TEFERGHENNIT, Zakia HANK","doi":"10.55549/epstem.1368268","DOIUrl":"https://doi.org/10.55549/epstem.1368268","url":null,"abstract":"The aim of this work is to synthesize, characterize and evaluate the biological activity of a series of hydrazone derivatives. These compounds were characterized by elemental analysis, IR spectroscopy, mass spectrometry, UV-Vis Spectroscopy, 1HNMR spectra. In vitro, their antibacterial and antifungal activities were screened against bacterial species (Staphylococcus aureus, Pseudomonas aeruginosa and Escherichia coli) and fungi (Candida sp). Amikacin was used as references for antibacterial and antifungal studies. The compounds were optimized at DFT/B3LYP/6-31G (d,p) level of theory. In silico, The Toxicity of the hydrazone derivatives were studied by ADMET(Absorption, distribution, metabolism, excretion, and toxicity) simulations using ADMET lab 2.0 server. The molecular docking studies are carried out to better comprehend the preferential mode of binding of these compounds against biomecular targets such as InhA enzyme characteristic of Mycobacterium Tuberculosis bacteria.","PeriodicalId":22384,"journal":{"name":"The Eurasia Proceedings of Science Technology Engineering and Mathematics","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136112362","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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