| مشخصات مقاله | |
| ترجمه عنوان مقاله | مروری بر تکنیک های خوشه بندی برای مدیریت پسماند |
| عنوان انگلیسی مقاله | A review of clustering techniques for waste management |
| انتشار | مقاله سال 2022 |
| تعداد صفحات مقاله انگلیسی | 13 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله مروری (Review Article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | Master Journal List – Scopus – DOAJ – PubMed Central |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| شاخص H_index | 28 در سال 2020 |
| شاخص SJR | 0.455 در سال 2020 |
| شناسه ISSN | 2405-8440 |
| شاخص Quartile (چارک) | Q1 در سال 2020 |
| فرضیه | ندارد |
| مدل مفهومی | دارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی صنایع |
| گرایش های مرتبط | مدیریت سیستم و بهره وری |
| نوع ارائه مقاله |
ژورنال |
| مجله | هلیون – Heliyon |
| دانشگاه | Industrial and Systems Engineering Program, Pontifícia Universidade Católica do Paraná, Brazil |
| کلمات کلیدی | مدیریت پسماند، بررسی متون سیستماتیک، جمع آوری زباله، محل دفن زباله |
| کلمات کلیدی انگلیسی | Waste management, Systematic literature review, Waste collection, Landfill location |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.heliyon.2022.e08784 |
| کد محصول | E15997 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Keywords Introduction Research design Clustering in waste management – an overview Clustering in waste management Research agenda Conclusion Declarations References |
| بخشی از متن مقاله: |
| ABSTRACT A variety of problems related to waste management systems can be found in the literature, as they have become tougher to solve over the years. With this in mind, a report of the most influential research concerns in this field could help develop innovative works for solving waste management applications. Literature reviews appear in most introductions and discussion sections of research reports, case reports, and expert opinion papers. It was immediately observed that Cluster Analysis, a multivariate data mining technique, has been used in various applications for sustainability issues. For this reason, this paper shows the results of a Systematic Literature Review on Cluster Analysis techniques applied to waste management. This paper’s primary goal is to detect what is happening with the applications and techniques in clustering techniques for waste management and, in this way, define possible gaps in this research field. The 61 analyzed papers were categorized into nine application types within the field of waste management (logistics/business; landfill research; theoretical/consequential; waste collection problems; location/selection; monitoring/decision support systems; leachate/water contamination; waste incineration/energy production and, waste forecast/waste production behavior). Following an analysis of their content, gaps were found related to exploring the complex situations in each problem. Instead of using general rules and constraints for their methodologies to solve real-world problems, they resorted to theoretical orientation solutions. Furthermore, suggestions from specialists in the field and more fitting constraints related to the data evaluated could make the works seem less theoretical and more visually applicable. Introduction Different issues related to waste management have become tougher to solve in recent decades. Achillas et al. (2013) affirm that the increase of waste volume and social, environmental awareness could lead to drivers that would help accomplish a sustainable and practical waste management framework or system. According to IBRD/IDA (2019), the rates of waste generation rise every year. By 2016, cities around the globe were generating 2.01 billion tons of solid waste. Factors such as fast population growth and urbanization spur an annual waste generation increase of 70%, meaning that the 2.01 billion tons in 2016 could rise to 3.40 billion tons in 2050. Therefore, different problems related to this area arise from collection services, landfill location, and reverse logistic applications. However, when such an array of issues can be found on a single subject, it is difficult to determine which aspects one should focus on to reduce waste management problems. Therefore, a report of what is happening in this research field is necessary to discern the best course of action regarding original research. |