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Three-level AHP-based heuristic approach for a multi-objective facility layout problem

机译:基于三级AHP的启发式方法求解多目标设施布局问题

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摘要

In real decision making problems, many conflicting objectives have to be taken into account. With increasing awareness of this, multi-objective problems have become more and more popular. Similarly, the design of the multi-objective facility layout problem (MOFLP) has generally been recognised as an important issue in the modern manufacturing system. The MOFLP is formulated as a quadratic assignment problem (QAP) which is NP-hard and solving MOFLP is a tough problem. A new three-level AHP-based heuristic algorithm for resolving the MOFLP is presented here. It also presents a new normalisation procedure (H-1), and a new heuristic method (H-2) for generating objective weights. The proposed approach consists of three levels. The first level applies AHP to generate paired comparison matrices, the consistency of matrix, to convert inconsistent matrices into consistent ones and then generate a qualitative objective matrix; the second level applies normalisation procedure (H-l) to normalise matrices of qualitative and quantitative objectives and the third level computes the objective weight for qualitative and quantitative objectives. An illustrative example is shown to demonstrate an application of the proposed methodology for solving MOFLP.
机译:在实际的决策问题中,必须考虑许多相互矛盾的目标。随着人们对此的认识不断提高,多目标问题变得越来越普遍。同样,多目标设备布局问题(MOFLP)的设计通常被认为是现代制造系统中的重要问题。 MOFLP被公式化为一个二次分配问题(QAP),这是一个NP难问题,而解决MOFLP是一个难题。本文提出了一种新的基于AHP的三级启发式算法来求解MOFLP。它还提出了一种新的归一化程序(H-1)和一种新的启发式方法(H-2),用于生成目标权重。提议的方法包括三个层次。第一层次应用层次分析法生成成对的比较矩阵,矩阵的一致性,将不一致的矩阵转换为一致的矩阵,然后生成定性的目标矩阵。第二层应用归一化程序(H-1)来对定性和定量目标的矩阵进行归一化,而第三层计算定性和定量目标的目标权重。显示了一个说明性示例,以说明所提出的方法在解决MOFLP中的应用。

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