title: A knowledge acquisition process to analyse operational problems in solid waste management facilities.
abstract: The available expertise on managing and operating solid waste management (SWM) facilities varies among countries and among types of facilities. Few experts are willing to record their experience, while few researchers systematically investigate the chains of events that could trigger operational failures in a facility; expertise acquisition and dissemination, in SWM, is neither popular nor easy, despite the great need for it. This paper presents a knowledge acquisition process aimed at capturing, codifying and expanding reliable expertise and propagating it to non-experts. The knowledge engineer (KE), the person performing the acquisition, must identify the events (or causes) that could trigger a failure, determine whether a specific event could trigger more than one failure, and establish how various events are related among themselves and how they are linked to specific operational problems. The proposed process, which utilizes logic diagrams (fault trees) widely used in system safety and reliability analyses, was used for the analysis of 24 common landfill operational problems. The acquired knowledge led to the development of a web-based expert system (Landfill Operation Management Advisor, http://loma.civil.duth.gr), which estimates the occurrence possibility of operational problems, provides advice and suggests solutions.
authors.affiliation: Laboratory of Project Management, Civil Engineering Department, Democritus University of Thrace, Xanthi, Greece. idokas@uni-paderborn.de
authors.forename: Ioannis M
authors.initials: IM
authors.lastname: Dokas
authors.forename: Demetrios C
authors.initials: DC
authors.lastname: Panagiotakopoulos
mesh_terms: D003657:Decision Making; D003663:Decision Trees; D005160:Facility Design and Construction / Q000592:standards*; D006801:Humans; D011786:Quality Control; D012037:Refuse Disposal / Q000379:methods* / Q000592:standards; D017751:Safety Management / Q000379:methods / Q000592:standards; D013647:Task Performance and Analysis; D018505:Waste Management / Q000379:methods* / Q000592:standards*