A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction
A multi-objective GA-based optimisation for holistic Manufacturing, transportation and Assembly of precast construction
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DOI：
10.1016/j.autcon.2016.08.007
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发表时间：
2016-11-01
影响因子：
10.3
通讯作者：
Ochieng, W. Y.
中科院分区：
文献类型：
--
作者：
Anvari, B.;Angeloudis, P.;Ochieng, W. Y.
施工建议的资源调度允许项目经理评估资源需求、提供成本并分析潜在的延误。预制建筑项目的制造、运输和装配 (MtA) 部门紧密相连，但在调度阶段单独考虑。然而，评估从制造到组装的后续决策对成本和时间的影响非常重要。本文提出了一种基于多目标遗传算法（GA-based）的搜索技术来解决统一的MtA资源调度问题（相当于扩展的灵活作业车间调度问题）。据作者所知，这是首次将基于遗传算法的优化方法应用于整体 MtA 问题，目的是最大限度地减少时间和成本，同时最大限度地提高安全性。使用文献中的实例和受实际预制结构启发的场景对该模型进行评估并与其他精确和非精确模型进行比较。皇冠版权所有 (C) 2016 由 B.V. 出版，保留所有权利。
Resource scheduling of construction proposals allows project managers to assess resource requirements, provide costs and analyse potential delays. The Manufacturing, transportation and Assembly (MtA) sectors of precast construction projects are strongly linked, but considered separately during the scheduling phase. However, it is important to evaluate the cost and time impacts of consequential decisions from manufacturing up to assembly. In this paper, a multi-objective Genetic Algorithm-based (GA-based) searching technique is proposed to solve unified MtA resource scheduling problems (which are equivalent to extended Flexible Job Shop Scheduling Problems). To the best of the authors' knowledge, this is the first time that a GA-based optimisation approach is applied to a holistic MtA problem with the aim of minimising time and cost while maximising safety. The model is evaluated and compared to other exact and non-exact models using instances from the literature and scenarios inspired from real precast constructions. Crown Copyright (C) 2016 Published by B.V. All rights reserved.