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A knowledge acquisition process to analyse operational problems in solid waste management facilities.

Ioannis M Dokas1, Demetrios C Panagiotakopoulos

  • 1Laboratory of Project Management, Civil Engineering Department, Democritus University of Thrace, Xanthi, Greece. idokas@uni-paderborn.de

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA
|September 1, 2006
PubMed
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This study introduces a knowledge acquisition process to capture and share solid waste management (SWM) expertise. It developed a web-based system to help prevent landfill operational failures.

Area of Science:

  • Environmental Engineering
  • Knowledge Management
  • System Safety

Background:

  • Expertise in solid waste management (SWM) is unevenly distributed and difficult to acquire.
  • Operational failures in SWM facilities often stem from poorly understood event chains.
  • There is a critical need for systematic knowledge acquisition and dissemination in SWM.

Purpose of the Study:

  • To present a novel knowledge acquisition process for capturing and codifying SWM operational expertise.
  • To develop a method for identifying failure-triggering events and their interrelationships.
  • To create a tool for propagating expertise to non-experts and improving SWM facility operations.

Main Methods:

  • Utilized a knowledge acquisition process involving knowledge engineers (KE).

Related Experiment Videos

  • Employed logic diagrams (fault trees) for analyzing causal relationships in SWM failures.
  • Analyzed 24 common operational problems in landfills.

    • Main Results:

    • Successfully captured, codified, and expanded reliable expertise on landfill operations.
    • Developed a web-based expert system, the Landfill Operation Management Advisor (LOMA).
    • The LOMA system estimates the probability of operational problems and offers solutions.

    Conclusions:

    • The proposed knowledge acquisition process effectively transfers SWM expertise.
    • The LOMA system provides a valuable resource for preventing and managing landfill operational issues.
    • Systematic analysis using fault trees enhances understanding and management of SWM facility risks.