用于预测印度北阿坎德邦加尔瓦尔地区医疗废物产生的ARIMA模型

Q3 Business, Management and Accounting
Ankur Chauhan, Amol Singh
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引用次数: 15

摘要

本研究旨在分析和预测印度北阿坎德邦加瓦尔地区医院产生的医疗废物数量。在这项研究中,基于不同的统计参数,开发了一个合适的自回归综合移动平均(ARIMA)模型,用于预测医疗废物。根据调整后的R平方值、均方误差和平均绝对百分比误差等统计参数对结果进行分析;AR(1)MA(1)模型已被发现是用于预测医疗废物产生的最佳ARIMA模型。医疗废物产生的每日数据已用于开发本研究中的ARIMA模型。本研究中开发的ARIMA模型将有助于废物处理公司规划其未来的废物收集和处置战略相关决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ARIMA model for the forecasting of healthcare waste generation in the Garhwal region of Uttarakhand, India
This study has been carried out to analyse and forecast the quantities of healthcare waste generated from the hospitals of Garhwal region of Uttarakhand, India. In this study, a suitable autoregressive integrated moving average (ARIMA) model has been developed, on the basis of different statistical parameters, for the forecasting of healthcare waste. The analysis of results on the basis of the statistical parameters such as adjusted R-square value, mean square error and mean absolute percentage error; the AR(1)MA(1) model has been found as the best ARIMA model for the forecasting of healthcare waste generation. The daily data of healthcare waste generation has been used to develop the ARIMA model in this study. The ARIMA model developed in this study would help the waste disposal firm to plan its waste collection and disposal strategy-related decisions in future.
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来源期刊
International Journal of Services Operations and Informatics
International Journal of Services Operations and Informatics Business, Management and Accounting-Management Information Systems
CiteScore
1.60
自引率
0.00%
发文量
9
期刊介绍: The advances in distributed computing and networks make it possible to link people, heterogeneous service providers and physically isolated services efficiently and cost-effectively. As the economic dynamics and the complexity of service operations continue to increase, it becomes a critical challenge to leverage information technology in achieving world-class quality and productivity in the production and delivery of physical goods and services. The IJSOI, a fully refereed journal, provides the primary forum for both academic and industry researchers and practitioners to propose and foster discussion on state-of-the-art research and development in the areas of service operations and the role of informatics towards improving their efficiency and competitiveness.
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