In public procurement, byers typically try to resolve the problem of not knowing the tenders before stating their preferences through the use of price relative models or comparison prices and different procurements use slightly different spreadsheet models for tender evaluation. This renders it difficult to assess the quality attributes in a way enabling for evaluating and comparing price-quality properties of real-life tender evaluations. However, tender evaluation is an instance of multi-attribute decision-making, and for each tender evaluation instance there is a corresponding multi-attribute decision model enabling for a more systematic assessment of tender evaluations. In this paper, we investigate how robust the selection of tenders in IT procurement are towards changes in the assessment of quality and to the presence of quality attributes in the tender evaluation model. Conclusions include that “decisive” attributes cannot be expected to exist, and that score based tender evaluation model with precise estimates of quality levels put strong demands on the capabilities of the buyer.
{"title":"Evaluating Price-Quality Properties of Information Technology Public Procurement using Decision Analysis","authors":"Aron Larsson, Sam E. S. Dahlin, Mathias Astrom","doi":"10.1145/3523132.3523133","DOIUrl":"https://doi.org/10.1145/3523132.3523133","url":null,"abstract":"In public procurement, byers typically try to resolve the problem of not knowing the tenders before stating their preferences through the use of price relative models or comparison prices and different procurements use slightly different spreadsheet models for tender evaluation. This renders it difficult to assess the quality attributes in a way enabling for evaluating and comparing price-quality properties of real-life tender evaluations. However, tender evaluation is an instance of multi-attribute decision-making, and for each tender evaluation instance there is a corresponding multi-attribute decision model enabling for a more systematic assessment of tender evaluations. In this paper, we investigate how robust the selection of tenders in IT procurement are towards changes in the assessment of quality and to the presence of quality attributes in the tender evaluation model. Conclusions include that “decisive” attributes cannot be expected to exist, and that score based tender evaluation model with precise estimates of quality levels put strong demands on the capabilities of the buyer.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123819472","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}
Lima Stock Exchange is considered one of the smallest capital markets in Latin America, despite its favorable growth in the last five years. The performance of listed companies in the stock market may be compromised with national macroeconomic gaps and impact on the development of the economic sector, which is why this study aimed to estimate the financial efficiency of companies listed on the Lima Stock Exchange to know their performance by economic sector during the period 2015-2020. The non-parametric technique of Data Envelopment Analysis was used in a set of 76 companies belonging to the Agrarian, Industrial, Public Services, and Mining sectors; finally, the change in performance was estimated through the Malmquist Productivity Index. The results indicated that 2016 was the most efficient year for companies and 2018 the least efficient year. The most efficient sector was Mining with an efficiency of 0.56, Agrarian sector was the least efficient and with the highest volatility. Likewise, productivity results concluded that technological change does not contribute to productivity, while efficiency change contributed positively to all sectors. In addition, a trend of annual growth and stability of the Mining sector was evidenced, which, in the face of the economic crisis, only had a slight drop of -1.7% in its productivity, unlike the other sectors that were notably affected. Results of this study reflected that the macroeconomic indicators of the country often don't affect the performance of the economic sector, to know the performance of the companies it is necessary to analyze the characteristic factors of each sector. It is recommended to use the results of this study as a complementary instrument for making investment decisions in Lima Stock Exchange-listed companies.
{"title":"Comparative Analysis of Efficiency in the Economic Sectors of Lima Stock Exchange","authors":"Lucero Emperatriz Sovero Rivera","doi":"10.1145/3523132.3523139","DOIUrl":"https://doi.org/10.1145/3523132.3523139","url":null,"abstract":"Lima Stock Exchange is considered one of the smallest capital markets in Latin America, despite its favorable growth in the last five years. The performance of listed companies in the stock market may be compromised with national macroeconomic gaps and impact on the development of the economic sector, which is why this study aimed to estimate the financial efficiency of companies listed on the Lima Stock Exchange to know their performance by economic sector during the period 2015-2020. The non-parametric technique of Data Envelopment Analysis was used in a set of 76 companies belonging to the Agrarian, Industrial, Public Services, and Mining sectors; finally, the change in performance was estimated through the Malmquist Productivity Index. The results indicated that 2016 was the most efficient year for companies and 2018 the least efficient year. The most efficient sector was Mining with an efficiency of 0.56, Agrarian sector was the least efficient and with the highest volatility. Likewise, productivity results concluded that technological change does not contribute to productivity, while efficiency change contributed positively to all sectors. In addition, a trend of annual growth and stability of the Mining sector was evidenced, which, in the face of the economic crisis, only had a slight drop of -1.7% in its productivity, unlike the other sectors that were notably affected. Results of this study reflected that the macroeconomic indicators of the country often don't affect the performance of the economic sector, to know the performance of the companies it is necessary to analyze the characteristic factors of each sector. It is recommended to use the results of this study as a complementary instrument for making investment decisions in Lima Stock Exchange-listed companies.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064013","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}
J. Jamal, Dominic Loske, M. Klumpp, Xiaochen Chou, Andrea Di Florio Di Renzo, M. dell’Amico, R. Montemanni
The problem of batching orders and routing orders in picker-to-parts warehouses is intensively studied in the research literature, but the impact of individual differences among pickers or forklift operators and their skills are rarely taken into consideration. Therefore, we propose a model that simultaneously does order batching and routing while taking advantage of the skills of each worker. This approach optimizes the total batch execution time, and reduces the physical and mental effort of workers, since they are likely to perform easy tasks according to their capabilities. Based on empirical data on workers’ skills and tasks characteristics, we present an integer linear programming model based on the classic joint order batching and picker routing problem, with the novelty that individual workers’ skills are taken into account while assigning tasks to workers. Using real-world instances, the computational experiments show that it is possible to solve instances with up to 20 orders to proven optimality within a time limit of 1 hour, without considerably increasing the total distance traveled compared to the classic approach which only focuses on minimizing this criterion.
{"title":"Skill-Based Joint Order Batching and Picker Routing Problem","authors":"J. Jamal, Dominic Loske, M. Klumpp, Xiaochen Chou, Andrea Di Florio Di Renzo, M. dell’Amico, R. Montemanni","doi":"10.1145/3523132.3523143","DOIUrl":"https://doi.org/10.1145/3523132.3523143","url":null,"abstract":"The problem of batching orders and routing orders in picker-to-parts warehouses is intensively studied in the research literature, but the impact of individual differences among pickers or forklift operators and their skills are rarely taken into consideration. Therefore, we propose a model that simultaneously does order batching and routing while taking advantage of the skills of each worker. This approach optimizes the total batch execution time, and reduces the physical and mental effort of workers, since they are likely to perform easy tasks according to their capabilities. Based on empirical data on workers’ skills and tasks characteristics, we present an integer linear programming model based on the classic joint order batching and picker routing problem, with the novelty that individual workers’ skills are taken into account while assigning tasks to workers. Using real-world instances, the computational experiments show that it is possible to solve instances with up to 20 orders to proven optimality within a time limit of 1 hour, without considerably increasing the total distance traveled compared to the classic approach which only focuses on minimizing this criterion.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130299586","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}
Given the problems such as adhesion and blocking in the transfer station when multiple lap belt conveyors are used for conveying and transporting viscous materials, this paper adopts the discrete element analysis method, based on the establishment of the transfer station model, analyzes the influence and law of material different viscosity on the wear and stacking of the transfer station through EDEM software, and puts forward a series of solutions such as improving the diversion angle of the transfer station, improving the funnel outlet and using polymer materials through simulation experiments. This study has a certain guiding significance for the design or optimization of the transfer station with high humidity and high viscosity materials.
{"title":"Analysis and Simulation of Viscous Material Transportation Based on Discrete Element Method","authors":"Yuan Zhang, Yu Cao, Mengchao Zhang, Houzhi Zhang","doi":"10.1145/3523132.3523149","DOIUrl":"https://doi.org/10.1145/3523132.3523149","url":null,"abstract":"Given the problems such as adhesion and blocking in the transfer station when multiple lap belt conveyors are used for conveying and transporting viscous materials, this paper adopts the discrete element analysis method, based on the establishment of the transfer station model, analyzes the influence and law of material different viscosity on the wear and stacking of the transfer station through EDEM software, and puts forward a series of solutions such as improving the diversion angle of the transfer station, improving the funnel outlet and using polymer materials through simulation experiments. This study has a certain guiding significance for the design or optimization of the transfer station with high humidity and high viscosity materials.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123641290","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}
Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli
With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.
{"title":"Distributing Fast EV Charging Stations in Saudi Highways","authors":"Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli","doi":"10.1145/3523132.3523148","DOIUrl":"https://doi.org/10.1145/3523132.3523148","url":null,"abstract":"With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125338327","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}
P. Luangpaiboon, P. Aungkulanon, L. Ruekkasaem, R. Montemanni
The EKO-LNS algorithm is a hybrid of elevator kinematics optimization (EKO) and large neighborhood search (LNS) that allows the EKO algorithm to quickly escape local optima. To that end, the motion condition is improved by considering candidates that are even worse than the worst in memory but are still far enough away from local optima. The EKO-LNS first proposed is compared to selected metaheuristics algorithms on the task to solve standard industrial optimization problems from the literature. Three-bar truss, speed reducer, pressure vessel, and tension/compression spring design issues are among them. In terms of the quality of both optimal operating conditions and convergence behavior, numerical results show that the EKO-LNS metaheuristic algorithm outperforms or competes with the other metaheuristic algorithms.
{"title":"An Elevator Kinematics Optimization Algorithm based on a Large Neighborhood Search for Optimizing Simulated Industrial Problems","authors":"P. Luangpaiboon, P. Aungkulanon, L. Ruekkasaem, R. Montemanni","doi":"10.1145/3523132.3523147","DOIUrl":"https://doi.org/10.1145/3523132.3523147","url":null,"abstract":"The EKO-LNS algorithm is a hybrid of elevator kinematics optimization (EKO) and large neighborhood search (LNS) that allows the EKO algorithm to quickly escape local optima. To that end, the motion condition is improved by considering candidates that are even worse than the worst in memory but are still far enough away from local optima. The EKO-LNS first proposed is compared to selected metaheuristics algorithms on the task to solve standard industrial optimization problems from the literature. Three-bar truss, speed reducer, pressure vessel, and tension/compression spring design issues are among them. In terms of the quality of both optimal operating conditions and convergence behavior, numerical results show that the EKO-LNS metaheuristic algorithm outperforms or competes with the other metaheuristic algorithms.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131107389","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}
M. J. Gumasing, Matthew P. Solivio, Deceree Anne A. Haboy, Kirstien Paola E. Robas
With the current struggles brought by the pandemic, it is undoubtedly a fact that service providers, may it be public or private servants, encounter difficulties in providing safe and effective service. As everyone tries to cope up with the new normal, the government provides restrictions and health protocols to prevent the spread of coronavirus. With this, different sectors including the transport sector were given the chance to operate but with reduced capacity and other limitations. Despite the risks they must face, the transportation sector was forced to operate as there are inadequate options for traveling especially for the essential workers. Employees in the transportation sector were left with no choice but to be exposed to the risk of getting infected as they must go outside and physically interact with other people. To address the uncertainties in the transport sector, the researchers used RIKA Risk Assessment Tool to evaluate the risk level of those who are involved in the said industry. To attain the said objective, this study measured the health risk, behavioral risk, exposure risk, and social risk of the participants. The results of the study showed that 78% of the respondents have moderate-risk levels and none are identified to have a high-risk level. Results also depicted that relationship between lockdown and compliance, and total risk score and the smoking habit has a high correlation among other variables.
{"title":"Measuring the Risk Level of Employees in Transportation Sector for COVID-19","authors":"M. J. Gumasing, Matthew P. Solivio, Deceree Anne A. Haboy, Kirstien Paola E. Robas","doi":"10.1145/3523132.3523134","DOIUrl":"https://doi.org/10.1145/3523132.3523134","url":null,"abstract":"With the current struggles brought by the pandemic, it is undoubtedly a fact that service providers, may it be public or private servants, encounter difficulties in providing safe and effective service. As everyone tries to cope up with the new normal, the government provides restrictions and health protocols to prevent the spread of coronavirus. With this, different sectors including the transport sector were given the chance to operate but with reduced capacity and other limitations. Despite the risks they must face, the transportation sector was forced to operate as there are inadequate options for traveling especially for the essential workers. Employees in the transportation sector were left with no choice but to be exposed to the risk of getting infected as they must go outside and physically interact with other people. To address the uncertainties in the transport sector, the researchers used RIKA Risk Assessment Tool to evaluate the risk level of those who are involved in the said industry. To attain the said objective, this study measured the health risk, behavioral risk, exposure risk, and social risk of the participants. The results of the study showed that 78% of the respondents have moderate-risk levels and none are identified to have a high-risk level. Results also depicted that relationship between lockdown and compliance, and total risk score and the smoking habit has a high correlation among other variables.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119454","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}
M. J. Gumasing, Abigail B. Vasquez, Angelo Luis S. Doctora, W. D. Perez
A learning management system is a convenient software that improves and enhances educators' and students' educational engagement and learning. This learning management system organizes the different course materials, provides accessibility to the learning materials, easily traces the students' performance, and integrates the social learning engagement. The study aims to compare the usability of Blackboard and Canvas based on user satisfaction of the students, evaluate the usability of the two learning management systems, and determine the acceptability score of Blackboard and Canvas. The researchers used a system usability scale questionnaire to assess the usability of Blackboard and Canvas based on the computed acceptability score from the data collected. This study also used other statistical tools such as descriptive statistics and t-test analysis to identify a significant difference between Blackboard and Canvas. Through this tool, the researchers concluded that there is no significant difference between the usability and satisfaction of the two learning management systems.
{"title":"Usability Evaluation of Online Learning Management System: Comparison between Blackboard and Canvas","authors":"M. J. Gumasing, Abigail B. Vasquez, Angelo Luis S. Doctora, W. D. Perez","doi":"10.1145/3523132.3523137","DOIUrl":"https://doi.org/10.1145/3523132.3523137","url":null,"abstract":"A learning management system is a convenient software that improves and enhances educators' and students' educational engagement and learning. This learning management system organizes the different course materials, provides accessibility to the learning materials, easily traces the students' performance, and integrates the social learning engagement. The study aims to compare the usability of Blackboard and Canvas based on user satisfaction of the students, evaluate the usability of the two learning management systems, and determine the acceptability score of Blackboard and Canvas. The researchers used a system usability scale questionnaire to assess the usability of Blackboard and Canvas based on the computed acceptability score from the data collected. This study also used other statistical tools such as descriptive statistics and t-test analysis to identify a significant difference between Blackboard and Canvas. Through this tool, the researchers concluded that there is no significant difference between the usability and satisfaction of the two learning management systems.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134561586","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}
Revolutionary and latest technologies have changed the manufacturing sector. Emerging technologies have developed smart and intelligent manufacturing systems. Latest manufacturing systems have overcome the issues related to communication, integration, data sharing, coordination, and autonomous behavior. Similarly, these technologies also address the issue related to self-awareness, complex structures, upscaling, and heterogeneity. Internet of things, holonic technology and agent-based systems are employed in manufacturing industries to overcome different issues and production inefficiencies. With ever-changing needs and market environment, the manufacturing sector must keep up with the pace by using these modern technologies. This paper summarizes the role of agent-based systems in providing robust solutions for the deficiencies in manufacturing. Agent-based systems can be used in the whole value chain of the manufacturing unit ranging from processes, machine assembly, production line, logistics to supply chain. Agent-based systems integrate all these units to exchange information and to use various resources by making autonomous decisions. Agents are smart and intelligent and take decisions through reasoning and continuous learning. Agents based systems can be integrated with holonic technologies, AI and Internet of things to further enhance the manufacturing capabilities. Integration of agent-based systems with other technologies and applications are discussed in this review.
{"title":"Development in Agent Based Systems for Intelligent Manufacturing","authors":"Khalid Nagadi","doi":"10.1145/3523132.3523141","DOIUrl":"https://doi.org/10.1145/3523132.3523141","url":null,"abstract":"Revolutionary and latest technologies have changed the manufacturing sector. Emerging technologies have developed smart and intelligent manufacturing systems. Latest manufacturing systems have overcome the issues related to communication, integration, data sharing, coordination, and autonomous behavior. Similarly, these technologies also address the issue related to self-awareness, complex structures, upscaling, and heterogeneity. Internet of things, holonic technology and agent-based systems are employed in manufacturing industries to overcome different issues and production inefficiencies. With ever-changing needs and market environment, the manufacturing sector must keep up with the pace by using these modern technologies. This paper summarizes the role of agent-based systems in providing robust solutions for the deficiencies in manufacturing. Agent-based systems can be used in the whole value chain of the manufacturing unit ranging from processes, machine assembly, production line, logistics to supply chain. Agent-based systems integrate all these units to exchange information and to use various resources by making autonomous decisions. Agents are smart and intelligent and take decisions through reasoning and continuous learning. Agents based systems can be integrated with holonic technologies, AI and Internet of things to further enhance the manufacturing capabilities. Integration of agent-based systems with other technologies and applications are discussed in this review.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115041529","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}
Adrian Tetsuo Lopez-Osorio, Nancy Francesca Vila-Moretti, A. Flores-Perez, J. Quiroz-Flores, Martin Collao-Diaz
The chemical industry allows the creation of a wide range of products such as polymers, emulsions, among others. In the world, this sector generates $5.7 billion of the world's Gross Domestic Product (GDP), and in Peru it represents 1% of the national GDP. This article describes the implementation of an integrated system containing the Theory of Constraints (TOC) and Lean Manufacturing (5s and Single Minute Exchange of Die) for the reduction of the lead time in the production process of the RA-401 resin in a chemical SME in Peru. The general problem is analyzed through the Value Stream Mapping tool, where the root causes, the time of each activity, and the incidence of the worker are evidenced. The validation of the developed model was carried out in the stage of filling and labeling of 200 kg resin cylinders through Arena Simulator. The results showed that the processing lead time was reduced by 7.88%, cycle time by 7.94% and productivity was increased by 8.48%.
{"title":"Production Model Integrating TOC and Lean for Lead Time Reduction in Chemical Manufacturing: An Empirical Research in Peru","authors":"Adrian Tetsuo Lopez-Osorio, Nancy Francesca Vila-Moretti, A. Flores-Perez, J. Quiroz-Flores, Martin Collao-Diaz","doi":"10.1145/3523132.3523140","DOIUrl":"https://doi.org/10.1145/3523132.3523140","url":null,"abstract":"The chemical industry allows the creation of a wide range of products such as polymers, emulsions, among others. In the world, this sector generates $5.7 billion of the world's Gross Domestic Product (GDP), and in Peru it represents 1% of the national GDP. This article describes the implementation of an integrated system containing the Theory of Constraints (TOC) and Lean Manufacturing (5s and Single Minute Exchange of Die) for the reduction of the lead time in the production process of the RA-401 resin in a chemical SME in Peru. The general problem is analyzed through the Value Stream Mapping tool, where the root causes, the time of each activity, and the incidence of the worker are evidenced. The validation of the developed model was carried out in the stage of filling and labeling of 200 kg resin cylinders through Arena Simulator. The results showed that the processing lead time was reduced by 7.88%, cycle time by 7.94% and productivity was increased by 8.48%.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129812137","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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