Sustainable Operations and Computers最新文献

{"title":"Impact of COVID-19 Pandemic on Particulate Matter (PM) concentration and harmful gaseous components on Indian metros","authors":"Rajiv Suman ,&nbsp;Mohd Javaid ,&nbsp;Sushil Kumar Choudhary ,&nbsp;Abid Haleem ,&nbsp;Ravi Pratap Singh ,&nbsp;Devaki Nandan ,&nbsp;Shokat Ali ,&nbsp;Shanay Rab","doi":"10.1016/j.susoc.2021.02.001","DOIUrl":"10.1016/j.susoc.2021.02.001","url":null,"abstract":"<div><p>The COVID-19 pandemic has created a heartbreaking situation across the globe. It is affecting the human population both in terms of health issues and food safety concerns. Most of the countries are struggling to save their economies during the lock-down conditions. The fight against the COVID-19 is very tough; either one can save the economy or save his country's human population. It seems COVID-19 have all the negative impact across the world. However, there is also some positive impact of this pandemic, where we observe much reduced environmental pollution. There has been significant improvement in the air quality at almost all the places where lock-down is implemented. Air pollution directly affects our health and hence the quality of life. In India, air quality has improved much beyond our expectations during the lock-down. This paper studies the positive impact of the COVID-19 pandemic on air pollution in major Indian cities. In the air quality rating, the paper considers types of air pollutants like Particulate Matters and Gaseous Components as benchmarks. Authors have also used available literature to study the ongoing pollution measurements, impact, and change over time. The study analysed available air quality data of four metros, i.e., Delhi, Kolkata, Mumbai, and Chennai, over the four months (National Lockdown). Two particulate matters (PM-2.5 and PM-10) pollution levels are compared with last year's values to identify the significant variations. Moreover, Gaseous components are used to analyse their impact on the country's human health and food ecosystem. The study analyses the effect of COVID-19 on air pollution, and the general recommendations are given. Paper identifies that there is a very good or positive impact of closing polluting units and vehicular movements.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 1-11"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.02.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75715616","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}

{"title":"Integration of Taguchi-simulation method for improving banking services","authors":"Mehrnaz Bastani,&nbsp;Ali Jahan","doi":"10.1016/j.susoc.2021.05.004","DOIUrl":"10.1016/j.susoc.2021.05.004","url":null,"abstract":"<div><p>Banks are branded as service organizations that have a close relationship with their customers by providing financial services. On the other hand, customers are considered as one of the most important resources of banks. Service long queues will increase their waiting time and reduce satisfaction. After determining the distribution function of variables in Enterprise dynamic (ED) software, model design was performed and the software was run for six and a half hours (bank working hours). Taguchi method, signal-to-noise ratio, were used for better analyzing the factors, and improvement. A case study was conducted at Mellat Bank in Semnan according to four controllable factors, including customer arrival time, number of servers, system capacity and service length, plus two uncontrollable factors such as branch location, type of service. Finally, 72 tests were performed and the factors of customer arrival time and service length were identified as the most important factors in improving the quality of system services.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 107-114"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.05.004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"95138129","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}

{"title":"Carbon footprint based multi-objective supplier selection problem with uncertain parameters and fuzzy linguistic preferences","authors":"Nausheen Hashmi ,&nbsp;Syed Aqib Jalil ,&nbsp;Shakeel Javaid","doi":"10.1016/j.susoc.2021.03.001","DOIUrl":"10.1016/j.susoc.2021.03.001","url":null,"abstract":"<div><p>In this paper, we have studied supplier selection Problem (SSP) with reference to carbon footprint associated with the activities of each supplier. Carbon footprint in the proposed model is considered as one of the crucial dimension for the evaluation and selection of the suppliers.. In the problem, primary objectives are minimization of the total cost, minimization of rejection, minimization of the late deliveries along with minimization of carbon footprint. These objectives are subjected to some realistic constraints concerning customers’ demand, supplier's capacity, flexibility, allocated budget and accepted amount of carbon footprint. Some parameters in the proposed model are considered to be uncertain values. The proposed multi-objective supplier selection problem with uncertain parameter is solved using fuzzy concept based goal programming approach. The main focus of the proposed model is to deal with human subjectivity by applying the linguistic preference-based method and analyzed the operational effects of supplier selection in terms of environmental efficiency. We have adopted the Expected Constraint programming technique given by Liu (2007) to convert the uncertain parameters into a deterministic one. For the applicability and effectiveness of the model, an illustration has been given in the end.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 20-29"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.03.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"102974588","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}

{"title":"Dentistry 4.0 technologies applications for dentistry during COVID-19 pandemic","authors":"Mohd Javaid ,&nbsp;Abid Haleem ,&nbsp;Ravi Pratap Singh ,&nbsp;Rajiv Suman","doi":"10.1016/j.susoc.2021.05.002","DOIUrl":"10.1016/j.susoc.2021.05.002","url":null,"abstract":"<div><p>The term, Dentistry 4.0, coincides with Industry 4.0, in which the traditional methods of manufacturing and information are made more precise to enhance process efficiency by using automation and advanced computer technologies. The main of this paper is to discuss the major potential of Dentistry 4.0 technologies in the field of dentistry during Coronavirus (COVID-19) Pandemic. Thereon, Dentistry 4.0 is advancing on its way with the use of advanced technologies in dentistry. Dental healthcare makes an essential part of the overall health of the masses. New technological advancements are essential to make the dentist work quicker, patient comfortable, and process reliable. So, we introduced the concept of Dentistry 4.0 to improve efficiency and impart innovation in dentistry during this pandemic. This paper briefs about the Dentistry 4.0 technologies helpful for the COVID-19 pandemic. Further discusses various issues and challenges in implementing Dentistry 4.0 for dentistry during the COVID-19 pandemic. Finally, the paper identifies and discussed fifteen significant applications of Dentistry 4.0 technologies for dentistry during the COVID-19 pandemic. With the onset of the pandemic, globally, the healthcare sector is taking initiatives to strengthen affordable and high-speed data connectivity. This up-gradation and investment will also help dentists to access patients' data from smaller towns or villages using Dentistry 4.0 technologies. Thus, globally there is the onset of the fourth dentistry revolution, and we understand that this will change the trend of dentistry during and post-COVID-19 Pandemic. Dentistry 4.0 technologies are helpful during the COVID-19 pandemic to create teledentistry, virtual clinical practice and connect all dental devices to improve health conditions. This approach is to help progress towards the integrated capabilities, patient-centric remedies with predicted results in an easier way than the traditional way of the health care industry.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 87-96"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.05.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87296820","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}

{"title":"Evaluation of precision marketing effectiveness of community e-commerce–An AISAS based model","authors":"Wu Jun ,&nbsp;Shi Li ,&nbsp;Yu Yanzhou ,&nbsp;Ernesto DR Santibanez Gonzalezc ,&nbsp;Hao Weiyi ,&nbsp;Su Litao ,&nbsp;Yunbo Zhang","doi":"10.1016/j.susoc.2021.07.007","DOIUrl":"10.1016/j.susoc.2021.07.007","url":null,"abstract":"<div><p>With the advent of the big data era, user needs have become more and more diversified and personalized. These new user characteristics are important for the sustainable marketing of enterprises. With intensified competition, how to attract clients at minimal cost has become the primary concern for community e-commerce platforms or other e-commerce platforms. One of the best solutions is precision marketing, which is an important part of sustainable marketing. In this paper, a modified AISAS model is proposed for evaluating precision marketing effectiveness using data from a real-world community e-commerce platform. Based on face-to-face expert interviews and questionnaire surveys, an analytic hierarchy process (AHP) method is used to determine weights of different indexes adopted in the evaluation model and then quantify the precision marketing effectiveness of the e-commerce platform. The marketing results are then verified. We found that community e-commerce platforms’ marketing ought to be gentle and sustainable due to service area constraints or capacity limitations. The community e-commerce platform is more successful in attracting customers’ attention and interest from the marketing effectiveness. However, it is inadequate to rely on customers’ purchase and repeat purchase behaviors. Therefore, the precise selection of platforms is critical to the cultivation of customers’ loyalty and the increases in their products’ repurchase rate.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 200-205"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.07.007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82129870","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}

{"title":"Circular economy: A brief literature review (2015–2020)","authors":"Erick Hungaro Arruda ,&nbsp;Rosângela Andrade Pita Brancalhão Melatto ,&nbsp;Wilson Levy ,&nbsp;Diego de Melo Conti","doi":"10.1016/j.susoc.2021.05.001","DOIUrl":"10.1016/j.susoc.2021.05.001","url":null,"abstract":"<div><p>Hitherto implemented economic mechanisms and development processes have led the planet to face numerous environmental and ecological depletion challenges. In light of this, Circular Economy emerges as an effective tool for triggering a sustainable development process. This article aims to present different perspectives and concepts of circular economy. To that end, a qualitative study was conducted and the methodology of systematic literature review was applied, so as to obtain solid knowledge about the theme, using the most recent and relevant articles. Scielo, Science Direct and Google Scholar database were the source of the articles that met the defined criteria, described in six steps: search key words; only scientific articles considered; publication between 2015 and 2020; in English; with 100 or more citations; relevant content to the theme. As a result, an extract of the researched articles and a comparison between the scientific literature on this subject is presented, showing some evolution of the aspects of the Circular Economy, such as designing of new products, emerging of new legislation and adoption by industry. Although the study was not conclusive on how the evolution of Circular Economy will take place, authors suggest future studies to assess the transition towards an economic circularity. Also, it is recommended that future studies consider case studies as a model for assessing Ciruclar Economy progress in the light of legislation and economic interests.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 79-86"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.05.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"99942491","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}

{"title":"Green supply chain network design with emphasis on inventory decisions","authors":"Meysam Mahjoob ,&nbsp;Seyed Sajjad Fazeli ,&nbsp;Soodabeh Milanlouei ,&nbsp;Ali Kamali Mohammadzadeh ,&nbsp;Leyla Sadat Tavassoli ,&nbsp;James S. Noble","doi":"10.1016/j.susoc.2021.07.006","DOIUrl":"10.1016/j.susoc.2021.07.006","url":null,"abstract":"<div><p>Excessive greenhouse gas emissions from the transportation sector have led companies to move towards a sustainable supply chain network design. In this study we present a new bi-objective non-linear formulation where multiple inventory components are integrated into the location and routing decisions throughout the supply chain network. To efficiently solve the proposed model, we implement an exact method and four evolutionary algorithms for small and large-scale instances. Extensive computational results and sensitivity analysis are performed to validate the efficiency of the proposed approaches, both quantitatively and qualitatively. Besides, we run a statistical analysis to investigate whether there is any statistically significant difference between solution methods.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 214-229"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.07.006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86285454","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}

{"title":"Impact of 3D Printing on the environment: A literature-based study","authors":"Mohd Shuaib ,&nbsp;Abid Haleem ,&nbsp;Sanjay Kumar ,&nbsp;Mohd Javaid","doi":"10.1016/j.susoc.2021.04.001","DOIUrl":"https://doi.org/10.1016/j.susoc.2021.04.001","url":null,"abstract":"<div><p>Additive Manufacturing (AM) technologies are used to manufacture a physical part quickly through the inputs of a three-dimensional computer-aided design system. 3D printing represents a technological component of additive manufacturing. Here a part is built by layer by layer deposition of material until its entire segments have been made. Many advantages visualise the need for 3D printing manufacturing over conventional manufacturing methods, all in terms of processes, materials, and environment. 3D printing takes challenges the manufacturing ability of subtractive manufacturing by producing designs of complex nature. It allows engineers to have creative liberty while designing components, test them quickly as the manufacturing time is lessened, and help with advanced and conventional materials. There is an adverse impact of conventional manufacturing on the environment, and it has become essential to switch to alternatives like AM that. Some are saying that it is less harmful effects on the environment. This study aims to understand how much sustainable it is to switch to additive manufacturing technologies. This paper reviews the impact of 3D printing on the environment and compares it with existing manufacturing methods based on critical associated parameters. The significant parameter considered is the entire process's energy, the impact on global warming, freshwater, marine water, terrestrial toxicity, and acidification. The study will help researchers to identify the sustainability of printing technologies of AM.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 57-63"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.04.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92010609","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}

{"title":"Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic","authors":"Abid Haleem ,&nbsp;Mohd Javaid ,&nbsp;Ravi Pratap Singh ,&nbsp;Rajiv Suman","doi":"10.1016/j.susoc.2021.04.003","DOIUrl":"10.1016/j.susoc.2021.04.003","url":null,"abstract":"<div><h3>Background and aims</h3><p>Artificial Intelligence (AI) shows extensive capabilities to impact different healthcare areas during the COVID-19 pandemic positively. This paper tries to assess the capabilities of AI in the field of cardiology during the COVID-19 pandemic. This technology is useful to provide advanced technology-based treatment in cardiology as it can help analyse and measure the functioning of the human heart.</p></div><div><h3>Methods</h3><p>We have studied a good number of research papers on Artificial Intelligence on cardiology during the COVID-19 pandemic to identify its significant benefits, applications, and future scope. AI uses artificial neuronal networks (ANN) to predict. In cardiology, it is used to predict the survival of a COVID-19 patient from heart failure.</p></div><div><h3>Results</h3><p>AI involves complex algorithms for predicting somewhat successful diagnosis and treatments. This technology uses different techniques, such as cognitive computing, deep learning, and machine learning. It is incorporated to make a decision and resolve complex challenges. It can focus on a large number of diseases, their causes, interactions, and prevention during the COVID-19 pandemic. This paper introduces AI-based care and studies its need in the field of cardiology. Finally, eleven major applications of AI in cardiology during the COVID-19 pandemic are identified and discussed.</p></div><div><h3>Conclusions</h3><p>Cardiovascular diseases are one of the major causes of death in human beings, and it is increasing for the last few years. Cardiology patients' treatment is expensive, so this technology is introduced to provide a new pathway and visualise cardiac anomalies. AI is used to identify novel drug therapies and improve the efficiency of a physician. It is precise to predict the outcome of the COVID-19 patient from cardiac-based algorithms. Artificial Intelligence is becoming a popular feature of various engineering and healthcare sectors, is thought for providing a sustainable treatment platform. During the COVID-19 pandemic, this technology digitally controls some processes of treatments.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 71-78"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.04.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76597320","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}

{"title":"Identifying and prioritizing the effective factors in the implementation of green supply chain management in the construction industry","authors":"Erfan Taghavi ,&nbsp;Alireza Fallahpour ,&nbsp;Kuan Yew Wong ,&nbsp;Seyed Amirali Hoseini","doi":"10.1016/j.susoc.2021.05.003","DOIUrl":"10.1016/j.susoc.2021.05.003","url":null,"abstract":"<div><p>In recent years, environmental protection and sustainability have become significant issues and have attracted everyone's attention. And many organizations are now interested in using it as their strategy to gain customer satisfaction and market share and outperform competitors. This article aims to identify and prioritize the main factors that implement green supply chain management (GSCM) in the construction industry. To achieve the goal, the integrated approach combining is fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and fuzzy analysis network Process (FANP) developed. The parameters employed are in this approach identified through an extensive literature review, and validation is criteria introduced through the experts’ opinions to discuss data uncertainty. First, the FDEMATEL method sets up the interrelationships between the criteria, which used for determining are the most important factors in the GSCM approach. Then, the local weight of the criteria calculated using the FANP approach based on cause and effect relationships, and through the FDEMATEL method. The results of this study show that external factors are the most important and influential factors in the GSCM approach, Therefore, the findings of this study can guide managers to make better use of the GSCM approach in the Iranian construction industry.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 97-106"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.05.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"102323198","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}