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Real Estate Property Maintenance Optimization Based on Multiobjective Multidimensional Knapsack Problem
Author(s) -
Taillandier Franck,
Fernandez Christophe,
Ndiaye Amadou
Publication year - 2017
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12246
Subject(s) - knapsack problem , property (philosophy) , pareto principle , multi objective optimization , real estate , particle swarm optimization , computer science , mathematical optimization , generalization , operations research , mathematics , business , finance , epistemology , mathematical analysis , philosophy
The real estate property maintenance problem (REPMP) deals with the problem of the maintenance of real estate property buildings’ components using a limited budget in a limited period to achieve multiple and often conflicting objectives. Maintenance of the components requires a multiannual maintenance action plan optimized simultaneously on different criteria relative to buildings’ maintenance objectives (the quality of service, client satisfaction, regulatory compliance, etc.) while respecting a predetermined budget. This article presents an innovative modeling of REPMP into a multiobjective multidimensional knapsack problem and its optimization using a generalization of the discrete multiobjective particle swarm optimization algorithm and the Pareto optimality. An application of this methodology using data from a real estate property of 22 buildings of a major French company is presented and discussed.
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