Management of spare parts in maintenance activities is indispensable for several companies, especially the manufacturing industry. The insufficiency of spare part inventories, results in the potential of equipment breakdown which has an impact on costs for equipment downtime due to damage. Otherwise, inventory excess may result in high storage costs and dead stock of materials that have been unused up to a certain period. In addition, the company should be able to manage the inventory level of the spare parts so that their quality is maintained and to prevent a decline in quality; therefore, it is ready to use whenever the spare part is needed. Spare part management involves both the maintenance aspect and the inventory aspect because they are interrelated. In this research, we determine how to classify spare parts considering these two aspects. This classification will be divided into two parts; the first is the classification of spare parts based on the function of spare parts to the equipment and impact in terms of production, health, safety, and environment. The second part is multi-criteria classification using the Analytical Hierarchy Process (AHP) with the criteria of lead time, unit price, the probability of failure, and availability of equipment. The two parts are combined in a decision diagram to determine the final criticality of the spare part from all these aspects. The methodology was developed in one of the oil processing industries in Indonesia and can be implemented as a step in establishing inventory management policies. From the research results, it is known that the development of the methodology can obtain the criticality level of spare parts so that the priority of spare part supply in the warehouse can be determined.
{"title":"Development of Spare Part Classification Methodology Considering Maintainability, Criticality, and Inventory Management Aspects in The Oil Processing Industry","authors":"Duwi Retno Wulansari, T. Zagloel, Z. Zulkarnain","doi":"10.1145/3468013.3468322","DOIUrl":"https://doi.org/10.1145/3468013.3468322","url":null,"abstract":"Management of spare parts in maintenance activities is indispensable for several companies, especially the manufacturing industry. The insufficiency of spare part inventories, results in the potential of equipment breakdown which has an impact on costs for equipment downtime due to damage. Otherwise, inventory excess may result in high storage costs and dead stock of materials that have been unused up to a certain period. In addition, the company should be able to manage the inventory level of the spare parts so that their quality is maintained and to prevent a decline in quality; therefore, it is ready to use whenever the spare part is needed. Spare part management involves both the maintenance aspect and the inventory aspect because they are interrelated. In this research, we determine how to classify spare parts considering these two aspects. This classification will be divided into two parts; the first is the classification of spare parts based on the function of spare parts to the equipment and impact in terms of production, health, safety, and environment. The second part is multi-criteria classification using the Analytical Hierarchy Process (AHP) with the criteria of lead time, unit price, the probability of failure, and availability of equipment. The two parts are combined in a decision diagram to determine the final criticality of the spare part from all these aspects. The methodology was developed in one of the oil processing industries in Indonesia and can be implemented as a step in establishing inventory management policies. From the research results, it is known that the development of the methodology can obtain the criticality level of spare parts so that the priority of spare part supply in the warehouse can be determined.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"110 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":"115458804","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}
∗To reduce Green House Gas (GHG) emission as a commitment of Indonesia in the Paris Agreement 2015, Indonesia government is enhancing using of green and sustainable energy replacing fossil energy resources. One of government's actual commitments is written in Government Regulatory no. 55/2019 regarding the acceleration programs of battery-based Electric Vehicles (EVs) which is believed to emit low emissions to the atmosphere. This study promotes an extended version of the Theory of Planned Behavior to analyze the impacts of personal beliefs on individual adoption intention towards EVs and structural equation modeling (SEM) method to quantify its acceptance level in Indonesia. The limitations of this research are a) study analyzes Indonesian acceptance level towards Plug-in Hybrid (PHEV) and Full Battery (BEV) based Electric Car; b) study was conducted in the situation of the pandemic of Covid-19 that might influence psychology of respondents. A questionnaire survey was conducted online from December 2020 to February 2021 to Indonesian people. A total of 154 valid survey responses were obtained. Based on the empirical results, we concluded that environmental concern (ENC) has a significant positive effect on adoption intention (AdIn) on EVs purchasing only with perceived behavior control (PBC).as mediator. In Indonesia, PBC factor influences AdIn factor which is relatively high (path coefficient=0.739). This result is indicating penetration of EVs in Indonesia can be done by prioritizing PBC factors, such as performance attributes/ ease of use (battery lifespan, charging time, maintenance, charging infrastructure availability, etc.) and usefulness (free from odd-even rule, privilege right of using bus lane, and other non-monetary incentives). Other variables such as attitude (ATT), subjective norm (SUN), and personal moral norm (PMN) have no significant effect on EVs adoption intention (AdIn). Since there are limitations of this study, so we suggest that future study can be done in normal condition (recovered from pandemic condition) and extends study to electric two-wheelers market. Additionally, future study should consider increasing portion of questionnaire respondents who have driving or taking on EVs so that study can get more accurate data analysis. Study is expected to help government to engineer intervention policies and guide automotive industries to invest in more accurate market planning. Study is also expected to support other studies in simulation (e.g., forecasting) in future.
{"title":"Understanding Electric Vehicle Acceptance in Indonesia using Structural Equation Modeling: A Conceptual Model","authors":"B. Yusuf, A. Moeis, Andri D. Setiawan","doi":"10.1145/3468013.3468655","DOIUrl":"https://doi.org/10.1145/3468013.3468655","url":null,"abstract":"∗To reduce Green House Gas (GHG) emission as a commitment of Indonesia in the Paris Agreement 2015, Indonesia government is enhancing using of green and sustainable energy replacing fossil energy resources. One of government's actual commitments is written in Government Regulatory no. 55/2019 regarding the acceleration programs of battery-based Electric Vehicles (EVs) which is believed to emit low emissions to the atmosphere. This study promotes an extended version of the Theory of Planned Behavior to analyze the impacts of personal beliefs on individual adoption intention towards EVs and structural equation modeling (SEM) method to quantify its acceptance level in Indonesia. The limitations of this research are a) study analyzes Indonesian acceptance level towards Plug-in Hybrid (PHEV) and Full Battery (BEV) based Electric Car; b) study was conducted in the situation of the pandemic of Covid-19 that might influence psychology of respondents. A questionnaire survey was conducted online from December 2020 to February 2021 to Indonesian people. A total of 154 valid survey responses were obtained. Based on the empirical results, we concluded that environmental concern (ENC) has a significant positive effect on adoption intention (AdIn) on EVs purchasing only with perceived behavior control (PBC).as mediator. In Indonesia, PBC factor influences AdIn factor which is relatively high (path coefficient=0.739). This result is indicating penetration of EVs in Indonesia can be done by prioritizing PBC factors, such as performance attributes/ ease of use (battery lifespan, charging time, maintenance, charging infrastructure availability, etc.) and usefulness (free from odd-even rule, privilege right of using bus lane, and other non-monetary incentives). Other variables such as attitude (ATT), subjective norm (SUN), and personal moral norm (PMN) have no significant effect on EVs adoption intention (AdIn). Since there are limitations of this study, so we suggest that future study can be done in normal condition (recovered from pandemic condition) and extends study to electric two-wheelers market. Additionally, future study should consider increasing portion of questionnaire respondents who have driving or taking on EVs so that study can get more accurate data analysis. Study is expected to help government to engineer intervention policies and guide automotive industries to invest in more accurate market planning. Study is also expected to support other studies in simulation (e.g., forecasting) in future.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"64 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":"116452064","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}
Since its first emergence in 2015, motorcycle-based e-ride hailing services in Indonesia has become more than a means of transport – it is a phenomenon. Both total user and driver increased significantly in less than five years, especially in the Jakarta area where most of the population commutes. The lack of Indonesia's regulation on motorcycle-based e-ridehailing services is one reason why its growth rate is seemingly uncontrollable until today. Therefore, this study aims to assess the impact of the growing motorcycle-based e-ridehailing services in Jakarta and their environmental effect in CO2 emissions. The assessment also involves some interconnections with other sectors, such as Jakarta's population, economy, travel demand, infrastructure investment, traffic congestion, motorcycle population, and ride-hailing fleet supply. All of the cause-and-effect relationships are then plotted in a form of causal-loop diagram (CLD). The constructed conceptual model is expected to help related authorities in making strategic policy for the long-term. It can also be utilized as a reference for further research in System Dynamics (SD) modeling and any other simulation or analysis scheme.
{"title":"Assessing the Rapid Growth Impact of Motorcycle-based E-ridehailing Services in Jakarta: A Conceptual Model","authors":"Sekar Sinaringati, R. Ardi","doi":"10.1145/3468013.3468318","DOIUrl":"https://doi.org/10.1145/3468013.3468318","url":null,"abstract":"Since its first emergence in 2015, motorcycle-based e-ride hailing services in Indonesia has become more than a means of transport – it is a phenomenon. Both total user and driver increased significantly in less than five years, especially in the Jakarta area where most of the population commutes. The lack of Indonesia's regulation on motorcycle-based e-ridehailing services is one reason why its growth rate is seemingly uncontrollable until today. Therefore, this study aims to assess the impact of the growing motorcycle-based e-ridehailing services in Jakarta and their environmental effect in CO2 emissions. The assessment also involves some interconnections with other sectors, such as Jakarta's population, economy, travel demand, infrastructure investment, traffic congestion, motorcycle population, and ride-hailing fleet supply. All of the cause-and-effect relationships are then plotted in a form of causal-loop diagram (CLD). The constructed conceptual model is expected to help related authorities in making strategic policy for the long-term. It can also be utilized as a reference for further research in System Dynamics (SD) modeling and any other simulation or analysis scheme.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"43 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":"130648357","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}
Cooperatives are a venture that can provide a solution to society's need for life-based on the spirit of help. The position of cooperatives in Indonesia is very important as one of the pillars of the economy. However, in the past few years, the number of cooperatives has steadily decreased because they have not fulfilled their duties and functions. This decline in the number of cooperatives also occurred in Cianjur, where around 70% of cooperatives died in 2018. Therefore, this study aims to analyze cooperatives in Cianjur based on clusters formed from the Cianjur cooperative database. The research data were obtained from the DKUPP Cianjur database. The data obtained totaled 1528 cooperatives with 8 attributes, namely the type of cooperative, cooperative group, business sector, number of members, own capital, external capital, business volume, and remaining business results. The cooperative cluster was formed using a combination of the Particle Swam Optimization and K-Means Clustering methods with the help of Rapid Miner. The result was three cooperative clusters in Cianjur with a Davies Bouldin index score of -1.54. The first cluster character was a thriving trading cooperative group or a developing trade cooperative group that had a fairly good business aspect, the character of the second cluster was an excellent financial service cooperative group or a cooperative with a very good financial condition, and the character of the third cluster is the unperforming financial cooperatives group or cooperative groups with poor financial conditions.
{"title":"Characteristic Analysis for Cooperatives Based on Cooperative Clustering in Cianjur","authors":"Bramantiyo Eko Putro, Dwi Indrawati","doi":"10.1145/3468013.3468302","DOIUrl":"https://doi.org/10.1145/3468013.3468302","url":null,"abstract":"Cooperatives are a venture that can provide a solution to society's need for life-based on the spirit of help. The position of cooperatives in Indonesia is very important as one of the pillars of the economy. However, in the past few years, the number of cooperatives has steadily decreased because they have not fulfilled their duties and functions. This decline in the number of cooperatives also occurred in Cianjur, where around 70% of cooperatives died in 2018. Therefore, this study aims to analyze cooperatives in Cianjur based on clusters formed from the Cianjur cooperative database. The research data were obtained from the DKUPP Cianjur database. The data obtained totaled 1528 cooperatives with 8 attributes, namely the type of cooperative, cooperative group, business sector, number of members, own capital, external capital, business volume, and remaining business results. The cooperative cluster was formed using a combination of the Particle Swam Optimization and K-Means Clustering methods with the help of Rapid Miner. The result was three cooperative clusters in Cianjur with a Davies Bouldin index score of -1.54. The first cluster character was a thriving trading cooperative group or a developing trade cooperative group that had a fairly good business aspect, the character of the second cluster was an excellent financial service cooperative group or a cooperative with a very good financial condition, and the character of the third cluster is the unperforming financial cooperatives group or cooperative groups with poor financial conditions.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"1 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":"124231315","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 application of a circular economy business model is a challenge in various industrial sectors. The increase in the number of cosmetics consumption encourages to know the perception of entrepreneurs in the cosmetic sector towards the circular economy by using a combination of the ReSOLVE framework and material value conservation to determine its relationship to value creation. From the survey conducted, this framework is in line with the goals of entrepreneurs to increase the value creation. The most influential variable in increasing value creation is Share.
{"title":"Perceptions of Circular Cosmetics SME Business Model in Indonesia : Result from a Pilot Survey","authors":"Dwi Rahayu Purwani, D. Gabriel, F. Farizal","doi":"10.1145/3468013.3468360","DOIUrl":"https://doi.org/10.1145/3468013.3468360","url":null,"abstract":"The application of a circular economy business model is a challenge in various industrial sectors. The increase in the number of cosmetics consumption encourages to know the perception of entrepreneurs in the cosmetic sector towards the circular economy by using a combination of the ReSOLVE framework and material value conservation to determine its relationship to value creation. From the survey conducted, this framework is in line with the goals of entrepreneurs to increase the value creation. The most influential variable in increasing value creation is Share.","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":"126307257","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}
Abstract—The primary aim of this Paper is to outline results and to summarize research findings on IoT learning that increase learning opportunities and give more positive impact to Electrical Engineering education especially on machines and sensor in physical object communicating with each other. IoT learning tries to enhance the learning patterns variety or how the ways people access and manage information to acquire knowledge by using smart technology which in our case is a NodeMCU and Arduino. The successful experiences build confidence to open wider subject of innovations in education 4.0 as it is discussed in the paper. It is expected that the current results motivate and support the running electronics and telematics education to be optimized in reliability and effectiveness by using more structure and direct approach in digital learning technology.
{"title":"IoT Learning for Electrical Engineering","authors":"Hezron Hezron, Virginia Lalujan, Ghandy Ghandy","doi":"10.1145/3468013.3468671","DOIUrl":"https://doi.org/10.1145/3468013.3468671","url":null,"abstract":"Abstract—The primary aim of this Paper is to outline results and to summarize research findings on IoT learning that increase learning opportunities and give more positive impact to Electrical Engineering education especially on machines and sensor in physical object communicating with each other. IoT learning tries to enhance the learning patterns variety or how the ways people access and manage information to acquire knowledge by using smart technology which in our case is a NodeMCU and Arduino. The successful experiences build confidence to open wider subject of innovations in education 4.0 as it is discussed in the paper. It is expected that the current results motivate and support the running electronics and telematics education to be optimized in reliability and effectiveness by using more structure and direct approach in digital learning technology.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"10 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":"126506917","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 need for technology nowadays is inevitable, leading to the increased growth of technology-based projects. But in fact, many technology-based projects facing problems when executing projects, especially about their quality. Quality Management System (QMS) is one quality process framework that has been used for monitoring and ensuring quality implementation on a process for creating and deliver a product. Nevertheless, the QMS implementation in the technology-based project faces a challenge of its effectiveness in improving quality. Such a challenge is due to the dynamic complexity that arises in the implementation. Uncovering such dynamics complexity can provide insights on strategy for improvement. In this regard, this study presents a conceptual model to understand the complexity of the QMS implementation in a technology-based company by using system dynamics modeling. Through Causal Loop Diagram (CLD) and system diagram, the conceptual model shows the key factors needed to improve the QMS process to be more effective, such as expert workforce and QMS adaptability.
{"title":"Model Conceptualization of Strategy for Improving the Effectiveness of Quality Management System in Technology-Based Project","authors":"Zam Yusuf, Andri D. Setiawan, A. Hidayatno","doi":"10.1145/3468013.3468652","DOIUrl":"https://doi.org/10.1145/3468013.3468652","url":null,"abstract":"∗The need for technology nowadays is inevitable, leading to the increased growth of technology-based projects. But in fact, many technology-based projects facing problems when executing projects, especially about their quality. Quality Management System (QMS) is one quality process framework that has been used for monitoring and ensuring quality implementation on a process for creating and deliver a product. Nevertheless, the QMS implementation in the technology-based project faces a challenge of its effectiveness in improving quality. Such a challenge is due to the dynamic complexity that arises in the implementation. Uncovering such dynamics complexity can provide insights on strategy for improvement. In this regard, this study presents a conceptual model to understand the complexity of the QMS implementation in a technology-based company by using system dynamics modeling. Through Causal Loop Diagram (CLD) and system diagram, the conceptual model shows the key factors needed to improve the QMS process to be more effective, such as expert workforce and QMS adaptability.","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":"115064432","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}
Eko Cahyo Nugroho, Herry Saputra, Davy Yeria Gunarso, A. Wibowo, D. N. Utama
Six-sigma is an approach to appraise a company's prospect in generating a number of piece with homogenized processes without any production defects or zero faults. It is operated not only for declining defect numbers, but also for reducing the company's imperfection itself. It means, company is able to decrease the cost (in term of money or time), also to increase the efficiency by evaluating current process and planning to improve company management process. In this study, six-sigma benefited to determine the success level of implementation of e-signature application in e-procurement system based on user experience rate. Conclusively, the implementation of “change management” has enhanced the business process in detail, while it was still in the equivalent sigma level 2.
{"title":"Six Sigma for Evaluating Electronic Signature in eProcurement System: A Case Study","authors":"Eko Cahyo Nugroho, Herry Saputra, Davy Yeria Gunarso, A. Wibowo, D. N. Utama","doi":"10.1145/3468013.3468666","DOIUrl":"https://doi.org/10.1145/3468013.3468666","url":null,"abstract":"Six-sigma is an approach to appraise a company's prospect in generating a number of piece with homogenized processes without any production defects or zero faults. It is operated not only for declining defect numbers, but also for reducing the company's imperfection itself. It means, company is able to decrease the cost (in term of money or time), also to increase the efficiency by evaluating current process and planning to improve company management process. In this study, six-sigma benefited to determine the success level of implementation of e-signature application in e-procurement system based on user experience rate. Conclusively, the implementation of “change management” has enhanced the business process in detail, while it was still in the equivalent sigma level 2.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"12 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":"117321043","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}
ABSTRACT HA field is natural gas field which operated by PT. X. HA field has four producing wells with subsea well head as the completion type. Gas that being produced from the HA field will be flowed through subsea pipeline to the floating process unit for dehydration process and then distributed to customers in East Java. HA field starting its production on March 2019 with initial reservoir pressure is 1300 – 1500 Psia. The gas composition is consist of 99% methane that does not required long process before it could be delivered to the customer. Optimization analysis on HA field is carried out by creating a well simulation model and reservoir simulation model. Based on those model, a production system simulation is performed by reducing the compressor suction pressure and conversion from condensate facility to water handling facility. After the technical analysis is done, the next step is to conduct an economic evaluation based on the scenario that gives an increase in gas cumulative so that it will produce economic parameters such as Net Present Value (NPV), Internal Rate of Return (IRR), Pay Out Time (POT), and Profit to Investment Ratio (PIR). As a results, scenario 1 is the most feasible approach to be applied in HA field which generates NPV is MMUS$ 11.44, internal rate of return 58.43%, pay out time 1 year, and profit to investment ratio is 2.1. CCS CONCEPTS
{"title":"Techno-Economy Analysis Of Production Optimization through Compressor Modification and Conversion from Condensate Handling Facility to Water Handling Facility on HA Gas Field in PT. X","authors":"Hendri Andriyadi, B. Susanto","doi":"10.1145/3468013.3468300","DOIUrl":"https://doi.org/10.1145/3468013.3468300","url":null,"abstract":"ABSTRACT HA field is natural gas field which operated by PT. X. HA field has four producing wells with subsea well head as the completion type. Gas that being produced from the HA field will be flowed through subsea pipeline to the floating process unit for dehydration process and then distributed to customers in East Java. HA field starting its production on March 2019 with initial reservoir pressure is 1300 – 1500 Psia. The gas composition is consist of 99% methane that does not required long process before it could be delivered to the customer. Optimization analysis on HA field is carried out by creating a well simulation model and reservoir simulation model. Based on those model, a production system simulation is performed by reducing the compressor suction pressure and conversion from condensate facility to water handling facility. After the technical analysis is done, the next step is to conduct an economic evaluation based on the scenario that gives an increase in gas cumulative so that it will produce economic parameters such as Net Present Value (NPV), Internal Rate of Return (IRR), Pay Out Time (POT), and Profit to Investment Ratio (PIR). As a results, scenario 1 is the most feasible approach to be applied in HA field which generates NPV is MMUS$ 11.44, internal rate of return 58.43%, pay out time 1 year, and profit to investment ratio is 2.1. CCS CONCEPTS","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"21 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":"129415475","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 progress and development of industrial manufacturing have many influences and benefits for human life. However, behind all these positive sides, the manufacturing industry's progress also affects natural degradation and damage on this earth. Sustainability exists to balance social, economic, and environmental benefits for the convenience of all stakeholders. The implementation of Sustainability in the industry much influence by the supply chain management of the organization. Sustainable supply chains have an essential role in the global business environment. It is a crucial concern always to fulfill consumer desires while maintaining environmental welfare. This research aims to identify the drivers and barriers that could influence the pharmaceutical industry's sustainable supply chain implementation. Through expert validation and content validity ratio (CVR) calculation, this study validated 28 driving factors and ten inhibiting factors to further increase a sustainable supply chain's performance in the pharmaceutical industry.
{"title":"Drivers and Barriers of Sustainable Supply Chain's Enhancement in Pharmaceutical Industry in Indonesia: A Conceptual Model","authors":"Gisty Ismapraga Melati, R. Ardi","doi":"10.1145/3468013.3468323","DOIUrl":"https://doi.org/10.1145/3468013.3468323","url":null,"abstract":"The progress and development of industrial manufacturing have many influences and benefits for human life. However, behind all these positive sides, the manufacturing industry's progress also affects natural degradation and damage on this earth. Sustainability exists to balance social, economic, and environmental benefits for the convenience of all stakeholders. The implementation of Sustainability in the industry much influence by the supply chain management of the organization. Sustainable supply chains have an essential role in the global business environment. It is a crucial concern always to fulfill consumer desires while maintaining environmental welfare. This research aims to identify the drivers and barriers that could influence the pharmaceutical industry's sustainable supply chain implementation. Through expert validation and content validity ratio (CVR) calculation, this study validated 28 driving factors and ten inhibiting factors to further increase a sustainable supply chain's performance in the pharmaceutical industry.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"14 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":"132139444","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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