Pub Date : 2024-01-01DOI: 10.1016/j.susoc.2024.06.001
Qing Liu, Yongzhong Zhang
To assist enterprises in adapting to the challenges of the digital era during the product eco-design stage, based on the synergistic symbiosis theory and the eco-strategy wheel, combined with literature research and expert interviews, this study identifies 11 factors for enterprises to realize product eco-design under digital collaboration. In this study, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method was used to aggregate the identified 11 factors into four factor sets: strong cause, weak cause, strong result, and weak result; and the Interpretive Structural Model (ISM) was used to create a multilevel recursive model of product eco-design for digital collaboration. The study's findings show that: digital collaborative product eco-design is a combination of intra-organizational, intra-organizational, and external organizational synergies; and digital collaboration improves the efficiency of eco-design technology acquisition. This research provides a scientific foundation for company managers to make product eco-design decisions in the context of the worldwide digitalization trend.
{"title":"Research on implementation factors of product ecological design based on digital collaboration","authors":"Qing Liu, Yongzhong Zhang","doi":"10.1016/j.susoc.2024.06.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2024.06.001","url":null,"abstract":"<div><p>To assist enterprises in adapting to the challenges of the digital era during the product eco-design stage, based on the synergistic symbiosis theory and the eco-strategy wheel, combined with literature research and expert interviews, this study identifies 11 factors for enterprises to realize product eco-design under digital collaboration. In this study, the Decision-making Trial and Evaluation Laboratory (DEMATEL) method was used to aggregate the identified 11 factors into four factor sets: strong cause, weak cause, strong result, and weak result; and the Interpretive Structural Model (ISM) was used to create a multilevel recursive model of product eco-design for digital collaboration. The study's findings show that: digital collaborative product eco-design is a combination of intra-organizational, intra-organizational, and external organizational synergies; and digital collaboration improves the efficiency of eco-design technology acquisition. This research provides a scientific foundation for company managers to make product eco-design decisions in the context of the worldwide digitalization trend.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 112-118"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000072/pdfft?md5=600d3a6e431d9ceb392d33178e791bba&pid=1-s2.0-S2666412724000072-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141487264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.susoc.2024.08.002
Sinung Adi Nugroho , Sunu Widianto
Transportation emissions significantly contribute to greenhouse gases (GHG) and climate change. Electric vehicles (EVs) offer a promising solution to this problem. Despite the noteworthy adoption of EVs in emerging economies like China and Europe, the pace of EV rollout in Indonesia remains sluggish. Currently, the country's rate of EV adoption is below 0.3 %, leading to stagnation in the Indonesian electric vehicle market. Several factors have impeded the adoption of EVs in Indonesia. Previous studies have investigated consumer acceptance of EV adoption in specific countries using sentiment analysis. Various data analytics and machine learning techniques have been implemented in those studies. However, those studies predominantly rely on the traditional sentiment analysis method, which assigns a single sentiment classification to each document or sentence. On the other hand, this study aims to investigate consumer acceptance of electric vehicle adoption in Indonesia through Twitter conversations. It utilises the Zero-Shot Aspect-Based Sentiment Analysis (ABSA) approach, which can provide a more fine-grained analysis of the aspects discussed and their corresponding sentiments. The findings demonstrate the effectiveness of this approach in identifying discussed aspects within tweets, though its sentiment classification performance is limited. The research also uncovers crucial aspects of electric vehicle adoption and public sentiments on Twitter. These insights could provide valuable guidance to the government and other stakeholders regarding the concerns associated with EV adoption in Indonesia.
{"title":"Exploring electric vehicle adoption in Indonesia using zero-shot aspect-based sentiment analysis","authors":"Sinung Adi Nugroho , Sunu Widianto","doi":"10.1016/j.susoc.2024.08.002","DOIUrl":"10.1016/j.susoc.2024.08.002","url":null,"abstract":"<div><div>Transportation emissions significantly contribute to greenhouse gases (GHG) and climate change. Electric vehicles (EVs) offer a promising solution to this problem. Despite the noteworthy adoption of EVs in emerging economies like China and Europe, the pace of EV rollout in Indonesia remains sluggish. Currently, the country's rate of EV adoption is below 0.3 %, leading to stagnation in the Indonesian electric vehicle market. Several factors have impeded the adoption of EVs in Indonesia. Previous studies have investigated consumer acceptance of EV adoption in specific countries using sentiment analysis. Various data analytics and machine learning techniques have been implemented in those studies. However, those studies predominantly rely on the traditional sentiment analysis method, which assigns a single sentiment classification to each document or sentence. On the other hand, this study aims to investigate consumer acceptance of electric vehicle adoption in Indonesia through Twitter conversations. It utilises the Zero-Shot Aspect-Based Sentiment Analysis (ABSA) approach, which can provide a more fine-grained analysis of the aspects discussed and their corresponding sentiments. The findings demonstrate the effectiveness of this approach in identifying discussed aspects within tweets, though its sentiment classification performance is limited. The research also uncovers crucial aspects of electric vehicle adoption and public sentiments on Twitter. These insights could provide valuable guidance to the government and other stakeholders regarding the concerns associated with EV adoption in Indonesia.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 191-205"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The plan of "transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as" NIDZ") launched in 2009 is an attempt to promote high-quality economic development in China. Based on the quasi-natural experiment of transforming national high-tech zones into NIDZ in 2009, this paper collected and sorted out the data of 51 cities where national high-tech zones were located in China from 2002 to 2018. Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. The results show that: (1) Urban green total factor productivity has been improved by transforming into a NIDZ, and the results are relatively stable. (2) Mechanism analysis shows that the promotion of urban green total factor productivity by transformation is realized through green technology innovation and industrial agglomeration mechanism. (3)The heterogeneity analysis shows that the policy effects are better in the developed eastern regions and regions with lower levels of government efficiency, and have not been reflected in the less developed central and western regions and regions with higher levels of government efficiency.
{"title":"Does the transformation of high-tech zones into national innovation demonstration zones promote the urban green total factor productivity?","authors":"Zhang Tingting , Xie Jiaping , Xie Jiqing , Liang Ling , Bi Lingling","doi":"10.1016/j.susoc.2023.12.002","DOIUrl":"10.1016/j.susoc.2023.12.002","url":null,"abstract":"<div><p>The plan of \"transforming national high-tech zones into national innovation demonstration zones (hereinafter referred to as\" NIDZ\") launched in 2009 is an attempt to promote high-quality economic development in China. Based on the quasi-natural experiment of transforming national high-tech zones into NIDZ in 2009, this paper collected and sorted out the data of 51 cities where national high-tech zones were located in China from 2002 to 2018. Then we measured urban green total factor productivity by applying the SBM model and investigated the impact of transformation on urban green total factor productivity through the difference in difference (DID) method. The results show that: (1) Urban green total factor productivity has been improved by transforming into a NIDZ, and the results are relatively stable. (2) Mechanism analysis shows that the promotion of urban green total factor productivity by transformation is realized through green technology innovation and industrial agglomeration mechanism. (3)The heterogeneity analysis shows that the policy effects are better in the developed eastern regions and regions with lower levels of government efficiency, and have not been reflected in the less developed central and western regions and regions with higher levels of government efficiency.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 60-72"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412724000023/pdfft?md5=8af06cb5b7ae041f1cd90e475fdcb701&pid=1-s2.0-S2666412724000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139637149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.susoc.2024.09.001
Yao Qu, Xianhua Wu, Yuanjing Xu, Yiting Wang
How to use the world input-output table to calculate the embodied mercury emissions from international trade is important for the determination of mercury emission sources and targeted reduction of mercury emissions. This paper first discusses the current situation of mercury emissions and the progress of academic research, and introduces the calculation methods and data sources of the world input-output table. Then, China's embodied mercury emissions caused by international trade are calculated using the 2019 world input-output table from the Carbon Emission Accounts and Datasets which includes detailed data for 134 sectors in 235 countries. The main conclusions are as follows: labor-intensive and energy-intensive industries have high embodied mercury emissions due to foreign final consumption demand, with the combined emissions from metal smelting, energy supply, and agriculture accounting for over 80 % of the total embodied mercury emissions. Moreover, the embodied mercury emissions caused by the final consumption demand of the United States, Japan, Germany, India, and South Korea are large, accounting for approximately 40 % of the total emissions.
如何利用世界投入产出表来计算国际贸易中体现的汞排放,对于确定汞排放源和有针对性地减少汞排放具有重要意义。本文首先讨论了汞排放的现状和学术研究的进展,介绍了世界投入产出表的计算方法和数据来源。然后,利用碳排放账户和数据集(Carbon Emission Accounts and Datasets)中的2019年世界投入产出表,计算了中国由国际贸易引起的内含汞排放,该表包含了235个国家134个部门的详细数据。主要结论如下:由于国外最终消费需求,劳动密集型和能源密集型产业的内含汞排放量较高,其中金属冶炼、能源供应和农业的合计排放量占内含汞排放总量的 80% 以上。此外,美国、日本、德国、印度和韩国的最终消费需求造成的体现汞排放量也很大,约占总排放量的 40%。
{"title":"Calculation of embodied mercury emissions from international trade: An empirical study from China","authors":"Yao Qu, Xianhua Wu, Yuanjing Xu, Yiting Wang","doi":"10.1016/j.susoc.2024.09.001","DOIUrl":"10.1016/j.susoc.2024.09.001","url":null,"abstract":"<div><div>How to use the world input-output table to calculate the embodied mercury emissions from international trade is important for the determination of mercury emission sources and targeted reduction of mercury emissions. This paper first discusses the current situation of mercury emissions and the progress of academic research, and introduces the calculation methods and data sources of the world input-output table. Then, China's embodied mercury emissions caused by international trade are calculated using the 2019 world input-output table from the Carbon Emission Accounts and Datasets which includes detailed data for 134 sectors in 235 countries. The main conclusions are as follows: labor-intensive and energy-intensive industries have high embodied mercury emissions due to foreign final consumption demand, with the combined emissions from metal smelting, energy supply, and agriculture accounting for over 80 % of the total embodied mercury emissions. Moreover, the embodied mercury emissions caused by the final consumption demand of the United States, Japan, Germany, India, and South Korea are large, accounting for approximately 40 % of the total emissions.</div></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":"Pages 181-190"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142428786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1016/j.susoc.2023.11.002
Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman
The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.
{"title":"A Fuzzy Multi-Criteria Model with Pareto Analysis for Prioritizing Sustainable Supply Chain Barriers in the Textile Industry: Evidence from an Emerging Economy","authors":"Mohammad Rafiqur Rashid , Sourav Kumar Ghosh , Md. Fahim Bin Alam , Mohammad Faizur Rahman","doi":"10.1016/j.susoc.2023.11.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.11.002","url":null,"abstract":"<div><p>The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266641272300017X/pdfft?md5=b8c915b7a77eb3a8fa9d0f05d3573999&pid=1-s2.0-S266641272300017X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139503783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-28DOI: 10.1016/j.susoc.2023.07.002
Seyed Sajjad Fazeli , Saravanan Venkatachalam , Jonathon M. Smereka
An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With recent developments in urbanization and e-commerce, transportation companies are replacing their conventional fleet with EVs to strengthen the efforts for sustainable and environment-friendly operations. However, deploying a fleet of EVs asks for efficient routing and recharging strategies to alleviate their limited range and mitigate the battery degradation rate. In this work, a fleet of electric vehicles is considered for transportation and logistic capabilities with limited battery capacity and scarce charging station availability. We introduce a min-max electric vehicle routing problem (MEVRP) where the maximum distance traveled by any EV is minimized while considering charging stations for recharging. We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. Extensive computational results and sensitivity analyses are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively. Finally a data-driven simulation implemented with the robot operating system (ROS) middleware are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively.
{"title":"Efficient algorithms for electric vehicles’ min-max routing problem","authors":"Seyed Sajjad Fazeli , Saravanan Venkatachalam , Jonathon M. Smereka","doi":"10.1016/j.susoc.2023.07.002","DOIUrl":"10.1016/j.susoc.2023.07.002","url":null,"abstract":"<div><p>An increase in greenhouse gases emission from the transportation sector has led companies and the government to elevate and support the production of electric vehicles (EV). With recent developments in urbanization and e-commerce, transportation companies are replacing their conventional fleet with EVs to strengthen the efforts for sustainable and environment-friendly operations. However, deploying a fleet of EVs asks for efficient routing and recharging strategies to alleviate their limited range and mitigate the battery degradation rate. In this work, a fleet of electric vehicles is considered for transportation and logistic capabilities with limited battery capacity and scarce charging station availability. We introduce a min-max electric vehicle routing problem (MEVRP) where the maximum distance traveled by any EV is minimized while considering charging stations for recharging. We propose an efficient branch and cut framework and a three-phase hybrid heuristic algorithm that can efficiently solve a variety of instances. Extensive computational results and sensitivity analyses are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively. Finally a data-driven simulation implemented with the robot operating system (ROS) middleware are performed to corroborate the efficiency of the proposed approach, both quantitatively and qualitatively.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"5 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412723000107/pdfft?md5=3b2952d55dead949d68fbd88581aa66d&pid=1-s2.0-S2666412723000107-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86604144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1016/j.susoc.2023.07.001
Mohd Shoeb, Lokesh Kumar, Abid Haleem
Fused Deposition Modeling (FDM) 3D printing is an advanced Additive Manufacturing (AM) method for developing thermoplastic-based parts. Researchers studied FDM-based 3D printing of PLA with whole biomass and biomass resources such as lignin, hemicellulose, and cellulose. These composites are environmentally friendly, sustainable and have wide applications in healthcare. There is scope for developing the 3D printing of biocomposite with medical surgical cotton fabric, where PLA is unique for such manufacturing. The development and characterisation of FDM 3D printed medical surgical cotton fabric- PLA biocomposite is the primary objective of this work. Experimental methods used for the development of biocomposites involve the use of three types of cotton fabric of pore sizes 0.6 mm x 0.6 mm, 0.8 mm x 0.8 mm, and 1.0 mm x 1.0 mm with three different 3D printing pore sizes 0.5 mm x 0.5 mm, 1.0 mm x 1.0 and 1.5 mm x 1.5 mm. The development of biocomposites is found feasible. Breaking strength, percentage extension, and water absorption capacity increased in 3D printing pore sizes and pore wall width for each fabric. The maximum 235.40 N and minimum 123.20 N breaking strength, maximum 2.288 % and minimum 1.506 % extension, and maximum 7.63 % and minimum 3.57 % absorption capacity have been observed for the developed biocomposite. The behaviours of these biocomposites are adequate for healthcare applications and may be used as a bandage in wound healing. The present work is limited to the feasibility study of the unique biocomposite. Analysis of other properties and testing of biocomposite on animals and humans may be carried out in future work.
熔融沉积建模(FDM)3D打印是一种先进的增材制造(AM)方法,用于开发基于热塑性塑料的零件。研究人员研究了基于FDM的PLA三维打印,该打印使用了整个生物质和生物质资源,如木质素、半纤维素和纤维素。这些复合材料环保、可持续,在医疗保健领域有着广泛的应用。用医用外科棉织物开发生物复合材料的3D打印是有空间的,PLA在这种制造中是独一无二的。FDM 3D打印医用外科棉织物-PLA生物复合材料的开发和表征是本工作的主要目标。用于开发生物复合材料的实验方法包括使用孔径为0.6 mm x 0.6 mm、0.8 mm x 0.8 mm和1.0 mm x 1.0 mm的三种棉织物,三种不同的3D打印孔径为0.5 mm x 0.5 mm、1.0 mm x 1.0mm和1.5 mm x 1.5 mm。发现开发生物复合材料是可行的。3D打印孔径和孔壁宽度增加了每种织物的断裂强度、伸长率和吸水能力。所开发的生物复合材料的最大断裂强度为235.40 N,最小断裂强度为123.20 N,最大延伸率为2.288%,最小延伸率为1.506%,最大吸收能力为7.63%,最小吸收能力为3.57%。这些生物复合材料的性能足以用于医疗保健应用,并且可以用作伤口愈合中的绷带。目前的工作仅限于对这种独特的生物复合材料的可行性研究。生物复合材料在动物和人类身上的其他性能分析和测试可能会在未来的工作中进行。
{"title":"3D printed medical surgical cotton fabric- poly lactic acid biocomposite: A feasibility study","authors":"Mohd Shoeb, Lokesh Kumar, Abid Haleem","doi":"10.1016/j.susoc.2023.07.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.07.001","url":null,"abstract":"<div><p>Fused Deposition Modeling (FDM) 3D printing is an advanced Additive Manufacturing (AM) method for developing thermoplastic-based parts. Researchers studied FDM-based 3D printing of PLA with whole biomass and biomass resources such as lignin, hemicellulose, and cellulose. These composites are environmentally friendly, sustainable and have wide applications in healthcare. There is scope for developing the 3D printing of biocomposite with medical surgical cotton fabric, where PLA is unique for such manufacturing. The development and characterisation of FDM 3D printed medical surgical cotton fabric- PLA biocomposite is the primary objective of this work. Experimental methods used for the development of biocomposites involve the use of three types of cotton fabric of pore sizes 0.6 mm x 0.6 mm, 0.8 mm x 0.8 mm, and 1.0 mm x 1.0 mm with three different 3D printing pore sizes 0.5 mm x 0.5 mm, 1.0 mm x 1.0 and 1.5 mm x 1.5 mm. The development of biocomposites is found feasible. Breaking strength, percentage extension, and water absorption capacity increased in 3D printing pore sizes and pore wall width for each fabric. The maximum 235.40 N and minimum 123.20 N breaking strength, maximum 2.288 % and minimum 1.506 % extension, and maximum 7.63 % and minimum 3.57 % absorption capacity have been observed for the developed biocomposite. The behaviours of these biocomposites are adequate for healthcare applications and may be used as a bandage in wound healing. The present work is limited to the feasibility study of the unique biocomposite. Analysis of other properties and testing of biocomposite on animals and humans may be carried out in future work.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 130-146"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730286","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}
Pub Date : 2023-01-01DOI: 10.1016/j.susoc.2022.10.002
Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shahbaz Khan
Management 4.0 assists businesses in evolving, surviving and performing in the competitive and dynamic world. This fourth revolution uses advanced technologies like Artificial Intelligence (AI), Virtual Reality (VR), Internet of Things (IoT), Robotics, Holography, Additive Manufacturing etc., for the proper management systems. These technologies facilitate working personnel and make it more appealing to complete their duties efficiently and accurately. The main aim of this paper is to understand the concept of Management 4.0, its technologies and applications for proper management systems. As Management 4.0 enhances process control, the chance of human error is reduced, leading to increased efficiency. It enables rapid and intelligent decision-making, reduces costs, accelerates growth, and raises profitability. Management 4.0 technologies and advanced data analytics are helpful to make smart supply chain management well suited to fulfil industry 4.0. Thus, to overcome various obstacles and effectively deploy Management 4.0 technologies in manufacturing industries, top management must establish a clear asset performance management plan with the help of process engineers familiar with industrial system failure occurrences and what operators need to improve. Management 4.0 involves advanced technologies, system connectivity, data collection & analysis at the organisation level. Management 4.0 is expected to be a critical component in the long-term survival of any business, either manufacturing or service-providing organisations. This paper explores the development of Management 4.0 and its dimensions and transformations through Management 4.0 perspectives. Finally, the significant role of Management 4.0 for appropriate private management system in manufacturing industries are identified. Organisations require a system that seamlessly meets the company's expectations, consumers, investors, and other stakeholders to remain competitive, and Management 4.0 will enable this. Many businesses strive to integrate technologies and upskill their personnel to adapt to the new job duties and attract more workers with the necessary abilities.
{"title":"Management 4.0: Concept, applications and advancements","authors":"Abid Haleem , Mohd Javaid , Ravi Pratap Singh , Rajiv Suman , Shahbaz Khan","doi":"10.1016/j.susoc.2022.10.002","DOIUrl":"https://doi.org/10.1016/j.susoc.2022.10.002","url":null,"abstract":"<div><p>Management 4.0 assists businesses in evolving, surviving and performing in the competitive and dynamic world. This fourth revolution uses advanced technologies like Artificial Intelligence (AI), Virtual Reality (VR), Internet of Things (IoT), Robotics, Holography, Additive Manufacturing etc., for the proper management systems. These technologies facilitate working personnel and make it more appealing to complete their duties efficiently and accurately. The main aim of this paper is to understand the concept of Management 4.0, its technologies and applications for proper management systems. As Management 4.0 enhances process control, the chance of human error is reduced, leading to increased efficiency. It enables rapid and intelligent decision-making, reduces costs, accelerates growth, and raises profitability. Management 4.0 technologies and advanced data analytics are helpful to make smart supply chain management well suited to fulfil industry 4.0. Thus, to overcome various obstacles and effectively deploy Management 4.0 technologies in manufacturing industries, top management must establish a clear asset performance management plan with the help of process engineers familiar with industrial system failure occurrences and what operators need to improve. Management 4.0 involves advanced technologies, system connectivity, data collection & analysis at the organisation level. Management 4.0 is expected to be a critical component in the long-term survival of any business, either manufacturing or service-providing organisations. This paper explores the development of Management 4.0 and its dimensions and transformations through Management 4.0 perspectives. Finally, the significant role of Management 4.0 for appropriate private management system in manufacturing industries are identified. Organisations require a system that seamlessly meets the company's expectations, consumers, investors, and other stakeholders to remain competitive, and Management 4.0 will enable this. Many businesses strive to integrate technologies and upskill their personnel to adapt to the new job duties and attract more workers with the necessary abilities.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 10-21"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In today's power systems, performing demand response (DR) programs is considered a solution for sustainable operation, carbon reduction, and facilitating renewable energy integration. Currently in Iran, several DR programs are available to industrial customers. Moreover, the design of a market-based DR has recently been considered by the power system operator. In DR programs, customer baseline load (CBL) is used to determine the level of customers’ demand reduction and is key to the billing process; thus, the CBL calculation methodology can directly affect the efficiency of these programs. This paper investigates the current CBL calculation method in Iran's power system and, as its main contribution, proposes some effective methods to reduce the probable incentives for CBL manipulation. In order to show the effectiveness of the methods, a real study case is considered based on the historical load data of the industries in the Khorasan region.
{"title":"An investigation of the customer baseline load (CBL) calculation for industrial demand response participants –A regional case study from Iran","authors":"Abolfazl Ghasemi , Merdad Hojjat , Javad Saebi , Hamid Reza Neisaz , Mohammad Reza Hosseinzade","doi":"10.1016/j.susoc.2023.03.003","DOIUrl":"https://doi.org/10.1016/j.susoc.2023.03.003","url":null,"abstract":"<div><p>In today's power systems, performing demand response (DR) programs is considered a solution for sustainable operation, carbon reduction, and facilitating renewable energy integration. Currently in Iran, several DR programs are available to industrial customers. Moreover, the design of a market-based DR has recently been considered by the power system operator. In DR programs, customer baseline load (CBL) is used to determine the level of customers’ demand reduction and is key to the billing process; thus, the CBL calculation methodology can directly affect the efficiency of these programs. This paper investigates the current CBL calculation method in Iran's power system and, as its main contribution, proposes some effective methods to reduce the probable incentives for CBL manipulation. In order to show the effectiveness of the methods, a real study case is considered based on the historical load data of the industries in the Khorasan region.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 88-95"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49756778","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}
Pub Date : 2023-01-01DOI: 10.1016/j.susoc.2022.09.001
Xiaogang Ma , Haibo Guo , Xiaodong Tang , Xueying Gao , Xiaoran Wang
The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after natural disasters is also a great component of research. Emergency rescue often generates a large number of emergency evacuation and rescue traffic needs. In the face of scarce road resources, how to allocate limited road resources for emergency traffic needs reasonably to improve the efficiency of emergency rescue has important practical significance. This paper studies the emergency traffic distribution method and the traffic organization method of the emergency traffic network. First, on the basis of the existing traffic distribution method based on Logit model, combined with the characteristics of emergency traffic flow, an emergency multi-path traffic distributed method based on the second modified Logit model is proposed. As well as the emergency lane reversal implementation strategy is proposed according to the actual situation. Finally, an example is proposed to comprehensively verify the emergency traffic distribution method and emergency lane reversal strategy proposed in this paper. The experimental results show that the proposed method can cope with the complex scenarios of multiple emergency traffic flows and is helpful to improve the overall efficiency of emergency traffic flow.
{"title":"Emergency traffic distribution and related traffic organization method under natural disasters","authors":"Xiaogang Ma , Haibo Guo , Xiaodong Tang , Xueying Gao , Xiaoran Wang","doi":"10.1016/j.susoc.2022.09.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2022.09.001","url":null,"abstract":"<div><p>The frequent occurrence of natural disasters caused by human activities and environmental pollution has forced people to pay attention to environmental protection. Of course, emergency rescue after natural disasters is also a great component of research. Emergency rescue often generates a large number of emergency evacuation and rescue traffic needs. In the face of scarce road resources, how to allocate limited road resources for emergency traffic needs reasonably to improve the efficiency of emergency rescue has important practical significance. This paper studies the emergency traffic distribution method and the traffic organization method of the emergency traffic network. First, on the basis of the existing traffic distribution method based on Logit model, combined with the characteristics of emergency traffic flow, an emergency multi-path traffic distributed method based on the second modified Logit model is proposed. As well as the emergency lane reversal implementation strategy is proposed according to the actual situation. Finally, an example is proposed to comprehensively verify the emergency traffic distribution method and emergency lane reversal strategy proposed in this paper. The experimental results show that the proposed method can cope with the complex scenarios of multiple emergency traffic flows and is helpful to improve the overall efficiency of emergency traffic flow.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"4 ","pages":"Pages 1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730590","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}