The most prominent element contained in this universe is Hydrogen. The energy density of nearly three times that the gasoline will become alternative energy for the future, especially for large-scale needs. Indonesia is an archipelago country where 2/3 of it is water. Water can separate the H2 and O2 elements through an electrolysis process with a purity level above 99%. Indonesia is also awarded as a tropical country where the sun shines all year round. And the electrolysis process can use this free energy to separate the Hydrogen and Oxygen. This paper will inform the results of a combination model research between photovoltaic and Hydrogen production systems to produce Hydrogen gas in a pressure cylinder every 10 m3 with the pressure is 30 bar. Simulate each model in certain areas on Java Island. Then calculate the photovoltaic models based on the hourly irradiation rate throughout 2019. The average electricity consumption required for the calculation of H2/kg production is 49 kWh. While the measures for the LCOH sensitivity analysis use 4.1-4.75 kWh/Nm3 or 46.3-52.8 kWh/kg. The Hydrogen economy is the ultimate goal from this research that the optimal model design selection with a discount rate of 10% and a lifetime of 25 years is the primary consideration. The modeling results show that the fourth model (RPV 10 MW Banjaratma) is the most optimal in producing Hydrogen in terms of CAPEX/kW, Opex/kW/year, Power Consumption, LCOH, Income, and Residual Value/kW after 25 years running.
{"title":"Optimization of Combined Photovoltaic with Hydrogen Production System by Electrolysis - Comparison Between Floating and Rooftop PV in Java Island","authors":"Heri Dwi Dwi Sulistyo, Arzil Harsya, Abeth Novria Sonjaya, B. Priyono","doi":"10.1145/3468013.3468658","DOIUrl":"https://doi.org/10.1145/3468013.3468658","url":null,"abstract":"The most prominent element contained in this universe is Hydrogen. The energy density of nearly three times that the gasoline will become alternative energy for the future, especially for large-scale needs. Indonesia is an archipelago country where 2/3 of it is water. Water can separate the H2 and O2 elements through an electrolysis process with a purity level above 99%. Indonesia is also awarded as a tropical country where the sun shines all year round. And the electrolysis process can use this free energy to separate the Hydrogen and Oxygen. This paper will inform the results of a combination model research between photovoltaic and Hydrogen production systems to produce Hydrogen gas in a pressure cylinder every 10 m3 with the pressure is 30 bar. Simulate each model in certain areas on Java Island. Then calculate the photovoltaic models based on the hourly irradiation rate throughout 2019. The average electricity consumption required for the calculation of H2/kg production is 49 kWh. While the measures for the LCOH sensitivity analysis use 4.1-4.75 kWh/Nm3 or 46.3-52.8 kWh/kg. The Hydrogen economy is the ultimate goal from this research that the optimal model design selection with a discount rate of 10% and a lifetime of 25 years is the primary consideration. The modeling results show that the fourth model (RPV 10 MW Banjaratma) is the most optimal in producing Hydrogen in terms of CAPEX/kW, Opex/kW/year, Power Consumption, LCOH, Income, and Residual Value/kW after 25 years running.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123344179","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 oil and gas industry is one of Indonesia's vital industries, and it contributes the most to the country's foreign exchange. Piping is an important piece of equipment in the oil and gas production facilities; therefore, the piping inspection plan should be well prepared. An integral part of inspection plan development is a piping circuit; it allows an inspector to manage the necessary inspections, calculations, and better recordkeeping. A problem faced in piping circuit development is the need for relatively many working hours and variability results. Although this problem is often encountered, piping circuit development generated by manual work is still common in practice. To overcome the issues in the piping circuit development, therefore a k-prototype algorithm was introduced. A k-prototype algorithm was used to accommodate the shortcomings in grouping objects with features comprised of mixed categorical and numerical data. This study concludes that the k-prototype algorithm is a promising clustering technique that can reduce the time spent developing the piping circuit and eliminating the resulting variability.
{"title":"Piping Circuit Development using K-Prototype Clustering","authors":"Shinta Herlina Puspitasari, Arian Dhini","doi":"10.1145/3468013.3468390","DOIUrl":"https://doi.org/10.1145/3468013.3468390","url":null,"abstract":"The oil and gas industry is one of Indonesia's vital industries, and it contributes the most to the country's foreign exchange. Piping is an important piece of equipment in the oil and gas production facilities; therefore, the piping inspection plan should be well prepared. An integral part of inspection plan development is a piping circuit; it allows an inspector to manage the necessary inspections, calculations, and better recordkeeping. A problem faced in piping circuit development is the need for relatively many working hours and variability results. Although this problem is often encountered, piping circuit development generated by manual work is still common in practice. To overcome the issues in the piping circuit development, therefore a k-prototype algorithm was introduced. A k-prototype algorithm was used to accommodate the shortcomings in grouping objects with features comprised of mixed categorical and numerical data. This study concludes that the k-prototype algorithm is a promising clustering technique that can reduce the time spent developing the piping circuit and eliminating the resulting variability.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121329370","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}
By 2019, total Indonesia's greenhouse gas emission (GHG) amounted to 674 MtCO2e, with the energy sector as the largest contributor. Carbon capture and storage (CCS) technology is a promising alternative to reduce CO2 emission by capturing and storing the CO2 underground. However, the carbon market has undergone insignificant development as the CCS development level remains low. Acceleration of CCS development through better policies and regulation is critical to help achieving Indonesia's target to reduce GHG emission by 29% in 2030. Enhancing CCS development becomes one of the government goals. However, this goal is still arduous to achieve due to the complexity that arises in CCS development. CCS development is a complex system; uncovering such complexity could provide insights into factors that play significant roles and shed light on the possible policy options for better CCS development. Nevertheless, it is still less studied holistically from a systems perspective. This paper aims to analyze CCS development's complexity by developing a conceptual system dynamics model of CCS development in West Java as a case study. The conceptual model developed in this study has captured essential aspects of CCS development and identified three possible policy interventions to enhance the CCS development in terms of incentive, local site regulation, and environmental regulation.
{"title":"A Conceptual Model of CO2 Emission Reduction Using Carbon Capture Storage in West Java","authors":"Annis Nuraini, Andri D. Setiawan","doi":"10.1145/3468013.3468374","DOIUrl":"https://doi.org/10.1145/3468013.3468374","url":null,"abstract":"By 2019, total Indonesia's greenhouse gas emission (GHG) amounted to 674 MtCO2e, with the energy sector as the largest contributor. Carbon capture and storage (CCS) technology is a promising alternative to reduce CO2 emission by capturing and storing the CO2 underground. However, the carbon market has undergone insignificant development as the CCS development level remains low. Acceleration of CCS development through better policies and regulation is critical to help achieving Indonesia's target to reduce GHG emission by 29% in 2030. Enhancing CCS development becomes one of the government goals. However, this goal is still arduous to achieve due to the complexity that arises in CCS development. CCS development is a complex system; uncovering such complexity could provide insights into factors that play significant roles and shed light on the possible policy options for better CCS development. Nevertheless, it is still less studied holistically from a systems perspective. This paper aims to analyze CCS development's complexity by developing a conceptual system dynamics model of CCS development in West Java as a case study. The conceptual model developed in this study has captured essential aspects of CCS development and identified three possible policy interventions to enhance the CCS development in terms of incentive, local site regulation, and environmental regulation.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121473958","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}
Alprianto Zainuddin, Andri D. Setiawan, A. Hidayatno
The selection of an EPC Contractor in Procurement for Indonesia's electricity system faces several challenges, especially for strategic projects such as transmission and substations. The procurement of goods/services in the electricity sector considers several evaluation criteria such as technical experience, administrative requirements, prices, and how the provider has met the applicable provisions in Indonesia. This research aimed to design a conceptual model to determine the EPC Tender Process Criteria for Electricity Construction by using an experimental design approach to measure the value of the 4 (four) main criteria used in the evaluation and actual implementation of EPC contractors. This conceptual model included stakeholders involved as executors of tenders or policy-makers directly related to achieving organizational goals. The data processing method used the Multicriteria decision-making method (MCDM) such as the Analytic Network Process (ANP) and the Promethee Method.
{"title":"A Conceptual Model for Contractor Assessment System in the Electricity Project with Tender","authors":"Alprianto Zainuddin, Andri D. Setiawan, A. Hidayatno","doi":"10.1145/3468013.3468641","DOIUrl":"https://doi.org/10.1145/3468013.3468641","url":null,"abstract":"The selection of an EPC Contractor in Procurement for Indonesia's electricity system faces several challenges, especially for strategic projects such as transmission and substations. The procurement of goods/services in the electricity sector considers several evaluation criteria such as technical experience, administrative requirements, prices, and how the provider has met the applicable provisions in Indonesia. This research aimed to design a conceptual model to determine the EPC Tender Process Criteria for Electricity Construction by using an experimental design approach to measure the value of the 4 (four) main criteria used in the evaluation and actual implementation of EPC contractors. This conceptual model included stakeholders involved as executors of tenders or policy-makers directly related to achieving organizational goals. The data processing method used the Multicriteria decision-making method (MCDM) such as the Analytic Network Process (ANP) and the Promethee Method.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126053193","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}
Overall Equipment Effectiveness performance in liquid soap line was 47.7% in 2020 where the OEE target in liquid soap line was 60%. This research will focus on eliminating waste to improve liquid soap line's OEE performance by analyzing waste using lean manufacturing tools. The methodology that used to solve this problem is by using WAM and VALSAT method combined with Six Sigma with DMAIC concept. In define phase, Value Stream Mapping was carried out to analyze the current condition in liquid soap line. Hereinafter, in measure and analyze phase, WAM and VALSAT was carried out to obtain the identification of waste and analyze the waste which causes low OEE in liquid soap line. This happens because of frequency of change over. Frequently changeover can lead low OEE due to production without output. The queuing of materials at the freight elevator is also the cause of low productivity. In the improvement phase, the author implement remapping product and production process redesign. After implementation, OEE increased from 47.7% to 55.5% and productivity increased from 96.7% to 97.9%. In control phase, the author suggests new total productive maintenance (TPM) as the control phase. EEM pillar was added to TPM to maintain performance monitoring process in liquid soap line.
{"title":"Improvement of Production Performance Using WAM & VALSAT Method in Liquid Soap Line","authors":"Andang Rikky Pradana, D. Ishak","doi":"10.1145/3468013.3468346","DOIUrl":"https://doi.org/10.1145/3468013.3468346","url":null,"abstract":"Overall Equipment Effectiveness performance in liquid soap line was 47.7% in 2020 where the OEE target in liquid soap line was 60%. This research will focus on eliminating waste to improve liquid soap line's OEE performance by analyzing waste using lean manufacturing tools. The methodology that used to solve this problem is by using WAM and VALSAT method combined with Six Sigma with DMAIC concept. In define phase, Value Stream Mapping was carried out to analyze the current condition in liquid soap line. Hereinafter, in measure and analyze phase, WAM and VALSAT was carried out to obtain the identification of waste and analyze the waste which causes low OEE in liquid soap line. This happens because of frequency of change over. Frequently changeover can lead low OEE due to production without output. The queuing of materials at the freight elevator is also the cause of low productivity. In the improvement phase, the author implement remapping product and production process redesign. After implementation, OEE increased from 47.7% to 55.5% and productivity increased from 96.7% to 97.9%. In control phase, the author suggests new total productive maintenance (TPM) as the control phase. EEM pillar was added to TPM to maintain performance monitoring process in liquid soap line.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"20 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133426561","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}
Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.
{"title":"Optimization of Integrated Production and Distribution Planning In the Cement Industry with Multi-Site Plants Model","authors":"Fuadi Sejahtera, T. Zagloel, Z. Zulkarnain","doi":"10.1145/3468013.3468316","DOIUrl":"https://doi.org/10.1145/3468013.3468316","url":null,"abstract":"Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133368864","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}
Transportation is one of the problems faced by many countries with a high population with limited urban areas and road capacity. Another problem with the transportation system is the poor quality of services. Surabaya is one of several most populated cities in Indonesia. According to data from the Central Statistics Agency in 2018, the population in Surabaya reached 2.89 million with a population density of 8,844 people per KM2. The Government already took action about this issue. They would like to build an urban transportation system which is the trans bus, namely Suroboyo Bus. This is a pilot project from the Government to reduce congestion in Surabaya by using plastic waste as innovation payment. To build a good urban transportation system, good services of quality is a must to be implemented. Therefore, it is necessary to evaluate service quality in a measured, structured, and comprehensive way. SEM (Structural Equation Modeling) will be suited to this problem because it can accommodate the complexity of evaluation models with many constructs and indicators. Besides, SEM can provide results to the core of the research, so that researchers can determine the weight of each indicator. In the end, the researcher can provide accurate recommendations for improving the quality of services. There will be 350 respondents which are then processed through AMOS. A model is built using 28 indicators with 8 independent variables and 1 dependent variable (user satisfaction). Based on the calculation results, it shows that the model has met the assumptions and fit after the first modification was made. The output obtained is that 3 independent variables already had a positive influence on user satisfaction. Meanwhile, 5 other independent variables become input and suggestions for improvement to service providers. The five variables are connectivity, information, time, friendliness, and security.
{"title":"Modeling for Services Evaluation of Trans Bus at Surabaya Based on User's Perspective","authors":"Muhammad Zulfikar Emir Zanggi, N. Arvitrida","doi":"10.1145/3468013.3468315","DOIUrl":"https://doi.org/10.1145/3468013.3468315","url":null,"abstract":"Transportation is one of the problems faced by many countries with a high population with limited urban areas and road capacity. Another problem with the transportation system is the poor quality of services. Surabaya is one of several most populated cities in Indonesia. According to data from the Central Statistics Agency in 2018, the population in Surabaya reached 2.89 million with a population density of 8,844 people per KM2. The Government already took action about this issue. They would like to build an urban transportation system which is the trans bus, namely Suroboyo Bus. This is a pilot project from the Government to reduce congestion in Surabaya by using plastic waste as innovation payment. To build a good urban transportation system, good services of quality is a must to be implemented. Therefore, it is necessary to evaluate service quality in a measured, structured, and comprehensive way. SEM (Structural Equation Modeling) will be suited to this problem because it can accommodate the complexity of evaluation models with many constructs and indicators. Besides, SEM can provide results to the core of the research, so that researchers can determine the weight of each indicator. In the end, the researcher can provide accurate recommendations for improving the quality of services. There will be 350 respondents which are then processed through AMOS. A model is built using 28 indicators with 8 independent variables and 1 dependent variable (user satisfaction). Based on the calculation results, it shows that the model has met the assumptions and fit after the first modification was made. The output obtained is that 3 independent variables already had a positive influence on user satisfaction. Meanwhile, 5 other independent variables become input and suggestions for improvement to service providers. The five variables are connectivity, information, time, friendliness, and security.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132709651","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}
Dyah Rusty Indriani, Andri D. Setiawan, A. Hidayatno
In an attempt to increase domestic palm oil consumption, Indonesia has enforced the mandatory use of 20 per cent blended biofuel (B20). This policy is a part of the government's efforts to reduce oil dependency in energy use and greenhouse gas emissions. Nevertheless, the policy implementation is prone to affect water and food availability as the demand for biofuel crops is expected to grow significantly in the coming years. Correspondingly, a sufficient quantity of water, energy, and food resources is considered essential to achieve the sustainable development agenda. The increasing demand for all three resources undeniably places a great strain on its preservation management. On the other hand, the planning and management of these resources are under dissonant sectoral systems. This issue, which can make the balance between the three resources arduous to realize, needs to be scrutinized. The complex relationship between the three resources reflects a complex dynamic system, needing a holistic approach that considers the integration of Water-Energy-Food (WEF) nexus to understand the system better. Therefore, this study aims to understand the trade-offs between the WEF nexus on the production and utilization of biofuel. For this purpose, a conceptual system dynamics model in the form of Causal Loop Diagram is developed to analyze the complex structure of biofuel development in Indonesia from the WEF nexus perspective. The conceptual model shows that many underlying factors affecting biofuel development should be considered when formulating policy for attaining a sustainable balance between water and food resources.
{"title":"Managing the Biofuel Industry in Indonesia: A Conceptual Model of the Water-Energy-Food Nexus","authors":"Dyah Rusty Indriani, Andri D. Setiawan, A. Hidayatno","doi":"10.1145/3468013.3468646","DOIUrl":"https://doi.org/10.1145/3468013.3468646","url":null,"abstract":"In an attempt to increase domestic palm oil consumption, Indonesia has enforced the mandatory use of 20 per cent blended biofuel (B20). This policy is a part of the government's efforts to reduce oil dependency in energy use and greenhouse gas emissions. Nevertheless, the policy implementation is prone to affect water and food availability as the demand for biofuel crops is expected to grow significantly in the coming years. Correspondingly, a sufficient quantity of water, energy, and food resources is considered essential to achieve the sustainable development agenda. The increasing demand for all three resources undeniably places a great strain on its preservation management. On the other hand, the planning and management of these resources are under dissonant sectoral systems. This issue, which can make the balance between the three resources arduous to realize, needs to be scrutinized. The complex relationship between the three resources reflects a complex dynamic system, needing a holistic approach that considers the integration of Water-Energy-Food (WEF) nexus to understand the system better. Therefore, this study aims to understand the trade-offs between the WEF nexus on the production and utilization of biofuel. For this purpose, a conceptual system dynamics model in the form of Causal Loop Diagram is developed to analyze the complex structure of biofuel development in Indonesia from the WEF nexus perspective. The conceptual model shows that many underlying factors affecting biofuel development should be considered when formulating policy for attaining a sustainable balance between water and food resources.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121269556","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 routine spare parts with vital criticality had 4899 items stock in the spare parts warehouse, consisting of 3778 items on the 1st floor, 1060 items on the 2nd floor, and 61 items non-location. Non-location and un-located spare parts into the rack caused by the poor put away process. It impacted on additional time of pick-up order process to search and pick-up the spare part, and possibly missing spare parts, and also it already became finding by the internal audit of PT. Tire Indonesia. This research was to identify and analyze the poor put away process then improves with class-based and dedicated-based storage. Adopting the haphazard storage in the put away process to allocate the item by considering the empty rack, might cause the poor put away process. The poor put away process impact to pick-up order process that takes time to search and non-location spare part occurred. Change the method to Class-based and dedicated-based storage provides information to allocate the spare part and create the alternative layout. The result is total throughput of the pick-up order process on the alternative layout was increased by 25 % on the 1st floor and by 56 % on the 2nd floor spare part warehouse.
{"title":"Improvement Put Away Process with Class-Based and Dedicated-Based Storage in Spare Part Warehouse PT. Tire Indonesia","authors":"Ali Firmansyah, A. Pratama, T. D. Sofianti","doi":"10.1145/3468013.3468651","DOIUrl":"https://doi.org/10.1145/3468013.3468651","url":null,"abstract":"The routine spare parts with vital criticality had 4899 items stock in the spare parts warehouse, consisting of 3778 items on the 1st floor, 1060 items on the 2nd floor, and 61 items non-location. Non-location and un-located spare parts into the rack caused by the poor put away process. It impacted on additional time of pick-up order process to search and pick-up the spare part, and possibly missing spare parts, and also it already became finding by the internal audit of PT. Tire Indonesia. This research was to identify and analyze the poor put away process then improves with class-based and dedicated-based storage. Adopting the haphazard storage in the put away process to allocate the item by considering the empty rack, might cause the poor put away process. The poor put away process impact to pick-up order process that takes time to search and non-location spare part occurred. Change the method to Class-based and dedicated-based storage provides information to allocate the spare part and create the alternative layout. The result is total throughput of the pick-up order process on the alternative layout was increased by 25 % on the 1st floor and by 56 % on the 2nd floor spare part warehouse.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665672","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 industrial sector has a vital role in the economy. A large amount of industrial activity also affected environmental pollution significantly. An eco-industrial park (EIP) is an industrial strategy to reduce environmental pollution due to industrial processes. The development of eco-industrial parks aims to obtain a sustainable industry in achieving efficiency and effectiveness in using natural resources to adapt industrial development with the sustainability and preservation of environmental function and provide benefits to the community. To build an eco-industrial park, various criteria are needed to determine a suitable site to become an EIP. This paper proposes several site selection criteria that have been identify through literature and expert assessments that consist of distance, infrastructure conditions, economic, environmental and legal. Experts assessed the research through semi-structured interviews and questionnaires. This study's results could be valuable decision-makers and practitioners as a reference in the site selection of an EIP.
{"title":"Proposed Site Selection Criteria for Eco-Industrial Park in Indonesia","authors":"Cindy Malinda Uscha, Rahmat Nur Cahyo, F. Farizal","doi":"10.1145/3468013.3468634","DOIUrl":"https://doi.org/10.1145/3468013.3468634","url":null,"abstract":"The industrial sector has a vital role in the economy. A large amount of industrial activity also affected environmental pollution significantly. An eco-industrial park (EIP) is an industrial strategy to reduce environmental pollution due to industrial processes. The development of eco-industrial parks aims to obtain a sustainable industry in achieving efficiency and effectiveness in using natural resources to adapt industrial development with the sustainability and preservation of environmental function and provide benefits to the community. To build an eco-industrial park, various criteria are needed to determine a suitable site to become an EIP. This paper proposes several site selection criteria that have been identify through literature and expert assessments that consist of distance, infrastructure conditions, economic, environmental and legal. Experts assessed the research through semi-structured interviews and questionnaires. This study's results could be valuable decision-makers and practitioners as a reference in the site selection of an EIP.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123554549","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：