Sustainable Operations and Computers最新文献_第10页

Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach 应用自适应神经模糊推理系统(ANFIS)方法对医疗保健行业采用工业4.0的医生操作变量进行评估和预测

Sustainable Operations and Computers Pub Date : 2022-01-01 DOI: 10.1016/j.susoc.2022.05.005

Maryam Fatima , N.U.K. Sherwani , Sameen Khan , Mohd Zaheen Khan

{"title":"Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach","authors":"Maryam Fatima , N.U.K. Sherwani , Sameen Khan , Mohd Zaheen Khan","doi":"10.1016/j.susoc.2022.05.005","DOIUrl":"10.1016/j.susoc.2022.05.005","url":null,"abstract":"<div><p>The chief objective of this study is to employ a predictive software called adaptive neuro-fuzzy inference system (ANFIS) approach which assess stress amongst doctors employing industry 4.0 technology during their surgeries. This study further investigates factors contributing the operation accuracy, sensitivity and specificity amongst doctors. Also, the effective performance of doctors can be optimized through earlier prediction for percentage of incorporating Industry 4.0 technologies. Survey was conducted amongst doctors using industry 4.0 technologies who provided unbiased answers to several queries in the questionnaire. The ANFIS model was employed to predict success rate of surgeries through models build with the aid of several input parameters. The outcomes such as accuracy, sensitivity and specificity were studied while employing Industry 4.0 technology which were considered significant factors influencing the perceived various kinds of surgeries in different domains. Moreover, the results of the ANFIS modelling approach showed that with increase in percentage of industry 4.0 machines in medical equipment, the operations sensitivity and accuracy increased, hence the most critical predictors. While specificity did not have any major impact on the surgeries. Henceforth, doctors can take preventive actions and simultaneously plan their work load with the aid of industry 4.0, providing better health benefits to patients making the healthcare industry much more efficient and stress-free.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"3 ","pages":"Pages 286-295"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666412722000150/pdfft?md5=5095dde114f121e996ec3c9e035c2ac0&pid=1-s2.0-S2666412722000150-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91529222","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}

引用次数: 12

A review of the theoretical research and practical progress of carbon neutrality 碳中和的理论研究与实践进展综述

Sustainable Operations and Computers Pub Date : 2021-10-01 DOI: 10.1016/j.susoc.2021.10.001

Xianhua Wu, Zhiqing Tian, Ji Guo

引用次数: 91

A modified adaptive genetic algorithm for multi-product multi-period inventory routing problem 多产品多周期库存调度问题的改进自适应遗传算法

Sustainable Operations and Computers Pub Date : 2021-04-19 DOI: 10.1016/j.susoc.2021.08.002

M. Mahjoob, S. S. Fazeli, Soodabeh Milanlouei, L. S. Tavassoli, Mirpouya Mirmozaffari

引用次数: 20

An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains 数字供应链中供应商选择的综合模糊多准则模型

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.07.008

Madjid Tavana , Akram Shaabani , Debora Di Caprio , Maghsoud Amiri

{"title":"An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains","authors":"Madjid Tavana , Akram Shaabani , Debora Di Caprio , Maghsoud Amiri","doi":"10.1016/j.susoc.2021.07.008","DOIUrl":"10.1016/j.susoc.2021.07.008","url":null,"abstract":"<div><p>Digital supply chains (DSCs) are collaborative digital systems designed to quickly and efficiently move information, products, and services through global supply chains. The physical flow of products in traditional supply chains is replaced by the digital flow of information in DSCs. This digitalization has changed the conventional supplier selection processes. We propose an integrated and comprehensive fuzzy multicriteria model for supplier selection in DSCs. The proposed model integrates the fuzzy best-worst method (BWM) with the fuzzy multi-objective optimization based on ratio analysis plus full multiplicative form (MULTIMOORA), fuzzy complex proportional assessment of alternatives (COPRAS), and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). The fuzzy BWM approach is used to measure the importance weights of the digital criteria. The fuzzy MULTIMOORA, fuzzy COPRAS, and fuzzy TOPSIS methods are used as prioritization methods to rank the suppliers. The maximize agreement heuristic (MAH) is used to aggregate the supplier rankings obtained from the prioritization methods into a consensus ranking. We present a real-world case study in a manufacturing company to demonstrate the applicability of the proposed method.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 149-169"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.07.008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74707058","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}

引用次数: 13

COVID 19 pandemic and International Migration: An Initial View COVID - 19大流行与国际移民:初步看法

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.06.002

Ridhima Sharma , Vinay Kandpal

引用次数: 1

Strategic assessment and mitigation of risks in sustainable manufacturing systems 可持续制造系统的战略评估和风险缓解

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.07.004

Mahesh Chand Ph.D (Assistant Professor)

引用次数: 10

Innovation projects of packaging recycling to a circular economy 包装回收创新项目，实现循环经济

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.05.005

Maria Helena Costa Resnitzky , Gustavo Grander , Luciano Ferreira da Silva , Ernesto Del Rosario Santibanez Gonzalez

{"title":"Innovation projects of packaging recycling to a circular economy","authors":"Maria Helena Costa Resnitzky , Gustavo Grander , Luciano Ferreira da Silva , Ernesto Del Rosario Santibanez Gonzalez","doi":"10.1016/j.susoc.2021.05.005","DOIUrl":"10.1016/j.susoc.2021.05.005","url":null,"abstract":"<div><p>The aim of this article is to examine the application of an innovation project in packaging recycling cooperatives toward a circular economy model. Our study is in line with a body of literature that perceives garbage as a resource and innovation projects are a way to overcome the barrier to circular economy implementation. Through qualitative research with document analysis and interviews, we analyzed the results of the implementation of an innovative project in the process of collecting and recycling the waste in the context of external pressures. As a result, we were able to present how the CircularPack® model was articulated and the perception of three actors involved in recycling processes. By re-reading production processes aiming at a circular economy model, these innovation project contributions could help to reduce the emission of waste in the environment, promote social insertion of people in situation of social vulnerability and accomplish a competitive advantage gain to the companies involved.</p></div>","PeriodicalId":101201,"journal":{"name":"Sustainable Operations and Computers","volume":"2 ","pages":"Pages 115-121"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.susoc.2021.05.005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113722123","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}

引用次数: 6

Impact of COVID-19 Pandemic on Particulate Matter (PM) concentration and harmful gaseous components on Indian metros 2019冠状病毒病大流行对印度地铁颗粒物(PM)浓度和有害气体成分的影响

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.02.001

Rajiv Suman , Mohd Javaid , Sushil Kumar Choudhary , Abid Haleem , Ravi Pratap Singh , Devaki Nandan , Shokat Ali , Shanay Rab

{"title":"Impact of COVID-19 Pandemic on Particulate Matter (PM) concentration and harmful gaseous components on Indian metros","authors":"Rajiv Suman , Mohd Javaid , Sushil Kumar Choudhary , Abid Haleem , Ravi Pratap Singh , Devaki Nandan , Shokat Ali , 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}

引用次数: 9

Integration of Taguchi-simulation method for improving banking services 整合田口模拟法改善银行服务

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.05.004

Mehrnaz Bastani, Ali Jahan

引用次数: 1

Carbon footprint based multi-objective supplier selection problem with uncertain parameters and fuzzy linguistic preferences 基于碳足迹的参数不确定模糊语言偏好多目标供应商选择问题

Sustainable Operations and Computers Pub Date : 2021-01-01 DOI: 10.1016/j.susoc.2021.03.001

Nausheen Hashmi , Syed Aqib Jalil , Shakeel Javaid

{"title":"Carbon footprint based multi-objective supplier selection problem with uncertain parameters and fuzzy linguistic preferences","authors":"Nausheen Hashmi , Syed Aqib Jalil , 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}

引用次数: 10