A decision support system for waste collection management and its potential improvement with Radio-Frequency Identification Technology (RFID)

Izabela Nielsen*, Ming K. Lim, Peter Nielsen, Rebecca Aggarwal

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Due to vigorous globalisation and product proliferation in recent years, more waste has been produced by the soaring manufacturing activities. This has contributed to the significant need for an efficient waste management system to ensure, with all efforts, the waste is properly treated for recycling or disposed. This paper presents a Decision Support System (DSS) framework, based on Constraint Logic Programming (CLP), for the collection management of industrial waste (of all kinds) and discusses the potential employment of Radio-Frequency Identification Technology (RFID) to improve several critical procedures involved in managing waste collection. This paper also demonstrates a widely distributed and semi-structured network of waste producing enterprises (e.g. manufacturers) and waste processing enterprises (i.e. waste recycling/treatment stations) improving their operations planning by means of using the proposed DSS. The potential RFID applications to update and validate information in a continuous manner to bring value-added benefits to the waste collection business are also presented.

Original languageEnglish
Pages (from-to)305-324
Number of pages20
JournalInternational Journal of Environmental Technology and Management
Volume15
Issue number3/4/5/6
DOIs
Publication statusPublished - 2012

Keywords

  • CLP
  • constraint logic programming
  • decision support system
  • radio-frequency identification technology
  • reverse logistics
  • RFID
  • waste supply chain management

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