Abstract
Abstract Adaptive reuse is a way of maximizing the residual utility of existing assets. Adaptive reuse makes it possible to retrieve components from an obsolete building through deconstruction programming. Unfortunately, current deconstruction programming practice relies on conventional intuitive planning procedures by professionals, leading to suboptimal results. This paper describes and validates a semi-automated selective deconstruction programming approach for adaptive reuse that can support quantitative analysis. First, a new method is defined for multiple-target selective disassembly sequence planning, using a rule-based recursive approach for obtaining near-optimal heuristic solutions. Then, a method is demonstrated for programming the deconstruction works based on the disassembly sequences. Validation is further achieved through a case study, in which high-quality, practical, and feasible solutions are found by using the new method. The approach helps improve project performance through process automation that supports quantitative analysis, low cost exploration of alternatives, and an iterative design process for meeting project constraints.
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