Mahmoudi Motahar, M and Hosseini Nourzad, S H (2022) A hybrid method for optimizing selective disassembly sequence planning in adaptive reuse of buildings. Engineering, Construction and Architectural Management, 29(1), pp. 307-332. ISSN 0969-9988
Abstract
Purpose: A successful adaptive reuse process relies heavily on the strong performance of disassembly sequence planning (DSP), yet the studies in the field are limited to sequential disassembly planning (SDP). Since in sequential disassembly, one component or subassembly is removed with only one manipulator at a time, it can be a relatively inefficient and lengthy process for large or complex assemblies and cannot fully utilize the DSP benefits for adaptive reuse of buildings. This study aims to present a new hybrid method for the single-target selective DSP that supports both sequential and parallel approaches. Design/methodology/approach: This study uses asynchronous parallel selective disassembly planning (aPDP) method, one of the newest and most effective parallel approaches in the manufacturing industry, to develop a parallel approach toward DSP in adaptive reuse of buildings. In the proposed method, three objectives (i.e. disassembly sequence time, cost and environmental impacts) are optimized using the Non-dominated Sorting Genetic Algorithm (NSGA-II). Findings: The proposed method can generate feasible sequential solutions for multi-objective DSP problems as the sequence disassembly planning for buildings (SDPB) method, and parallel solutions lead to 17.6–23.4% time reduction for understudy examples. Moreover, in disassembly planning problems with more complex relations, the parallel approach generates more effective and time-efficient sequences. Originality/value: This study introduces the parallel approach for the first time in this field. In addition, it supports both sequential and parallel approaches as a novel strategy that enables the decision-makers to select the optimum approach (i.e. either the parallel or the sequential approach) for DSP. Moreover, a metaheuristic method (i.e. NSGA-II) is adopted as the optimization tool with robust results in the field in which those heuristic methods have only been employed in the past.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | adaptive reuse; nsga-ii; selective disassembly planning; sustainability |
| Index terms: | adaptive reuse, heuristic, selective disassembly, environmental impact, time reduction, methodology, strategy, manufacturing industry, disassembly, genetic algorithm |
| Subjects: | industry analysis, sustainable design, research methods, algorithms, management, renovation and retrofit, operations management, environmental impact, risk assessment |
| Topics: | Digital Applications, Site Management, Business Strategy, Research Practice, Engineering Principles, Risk Management, Sustainability |
| Descriptive scope: | 3 PCT |
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