Wijewickrama, M. K. C. S.; Chileshe, N.; Rameezdeen, R. and Ochoa, J. J. (2026) Application of a Bayesian belief network-based information processing model for quality assurance in demolition waste reverse logistics: Insights from two case studies. Engineering, Construction and Architectural Management, 33(15), ISSN 0969-9988
Abstract
Purpose – This study aims to assess the applicability of the Bayesian belief network (BBN)-based conceptual information processing model for quality assurance (QA) within real-world reverse logistics supply chains (RLSCs) of demolition waste (DW) and to observe how it supports decision-making related to information processing for QA. Design/methodology/approach – A multiple-case study strategy was adopted, focusing on two RLSCs in South Australia (SA). Focus group discussions were conducted within case studies to obtain expert-elicited probabilistic inferences for parametric learning in BBN-based modelling. A series of analyses was conducted using GeNIe software, including sensitivity analysis, root cause analysis and scenario analysis based on macro-, meso- and micro-level epistemic uncertainties. Findings – The study confirmed that the BBN-based model is a useful decision-support tool for internal stakeholders in RLSCs. QA was most sensitive to micro-level workflow uncertainties and health and safety concerns, especially those related to the waste processor. Notably, RLSCs with small and medium-scale organisations were more vulnerable to epistemic uncertainties at all levels. Macro-level uncertainties emerged as root causes that propagate through the system and affect QA outcomes. Originality/value – This is the first empirical application of a developed BBN-based information processing model specifically designed for QA in RLSCs of DW. This study contributes by demonstrating how this model can be operationalised as a decision-support tool, providing empirical insights into how epistemic uncertainties propagate through real-world supply chains.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bayesian belief network; demolition waste; information processing; quality assurance; reverse logistics supply chains |
| Index terms: | root cause analysis, health and safety, demolition waste, bayesian belief network, scenario analysis, workflow, quality assurance, strategy, modelling, South Australia, focus group, information processing, sensitivity analysis, reverse logistics, methodology, decision-making, case study |
| Subjects: | data collection methods, data science, quality assurance, risk assessment, decision analysis, analytical methods, environmental hazards, physical geography and landforms, supply chain operations, health safety and environment, waste management, policy studies, probabilistic model, management, research methods |
| Topics: | Geographical Context, Governance, Business Strategy, Health and Safety, Digital Applications, Supply Chain Management, Risk Management, Engineering Principles, Quality Management, Research Practice, Sustainability |
| Descriptive scope: | 5 PCTEA |
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