Decision support for optimizing waste management

被引：23

作者：

Rybnytska, Olga ^{[1
]}

Burstein, Frada ^{[2
]}

Rybin, Andrei V. ^{[1
]}

Zaslavsky, Arkady ^{[3
]}

机构：

[1] ITMO Univ, Int Res Lab Modern Commun Technol Res & Applicat, St Petersburg, Russia

[2] Monash Univ, Fac IT, Melbourne, Vic, Australia

[3] CSIRO, Data61, Clayton, Vic, Australia

来源：

JOURNAL OF DECISION SYSTEMS | 2018年 / 27卷

基金：

欧盟地平线“2020”;

关键词：

Pervasive computing; decision support system; sustainability; smart waste management;

D O I：

10.1080/12460125.2018.1464312

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

During the last few decades, research into sustainability aspects of ICT grew rapidly for most organisational and business processes. Evolution towards the development of infrastructure for Smart Cities, Green ICT with application of decision support systems (DSSs) created opportunities for solving complex problems, for example, sensor-enabled smart waste management. This paper focuses on supporting decisions for sustainable garbage collection route planning and optimisation. The objective is to create a practical solution for reducing CO2 emissions and reduce negative impact on the environment as a result. From the design science perspective, a DSS is proposed, researched and developed to increase the effectiveness of municipal waste management. The paper also evaluates this approach against the Green IS framework.

引用

页码：68 / 78

页数：11

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