.png){kind=icon}
Return
Three-level AHP-based heuristic approach for a multi-objective facility layout problem
.png){kind=icon}
PRE
AI
DOI：10.1080/00207540903536148.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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-1) 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.
Keywords:
AHP
multi-objective facility layout problem
normalisation
heuristic
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.3
Papers:
1.1W
Citations:
3.7W
Organization
Cited Papers
Comparative Cost-Effectiveness of Azacitidine Versus Decitabine for the Treatment of Myelodysplastic Syndromes (MDS)..png)
Blood
BloodIF0
PREAI
ShareSaveShareSaveShareSave
ShareSaveShareSave<title>AIRS science processing system (ASPS): a description of architecture and capabilities</title>
PREAI
ShareSaveDevelopment, implementation, and evaluation of a sleep coaching program for the German armed forcesSomnologie
SomnologieIF0
PREAI
ShareSaveBasis for a predictive model ofXanthomonas arboricolapv.prunigrowth and infections in host plants
OAAI
OAAIShareSave
View more