Decision support for optimizing waste management

Olga Rybnytska; Frada Burstein; Andrei V. Rybin; Arkady Zaslavsky

doi:10.1080/12460125.2018.1464312

Decision support for optimizing waste management

Olga Rybnytska, Frada Burstein, Andrei V. Rybin, Arkady Zaslavsky

Research output: Contribution to journal › Article › Research › peer-review

35 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	68-78
Number of pages	11
Journal	Journal of Decision Systems
Volume	27
Issue number	S1
DOIs	https://doi.org/10.1080/12460125.2018.1464312
Publication status	Published - 25 May 2018

Keywords

decision support system
Pervasive computing
smart waste management
sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/12460125.2018.1464312

Cite this

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KW - Pervasive computing

KW - smart waste management

KW - sustainability

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Decision support for optimizing waste management

Abstract

Keywords

UN SDGs

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