Real Estate Property Maintenance Optimization Based on Multiobjective Multidimensional Knapsack Problem

Taillandier, Franck; Fernandez, Christophe; Ndiaye, Amadou

doi:10.1111/mice.12246

Cited by 29 publications

(26 citation statements)

References 54 publications

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“…Grussing and Liu (2014) constructed a method that is able to identify and to select multiyear building maintenance, repair, and renovation (MR&R) works to maximize building performance and minimize life-cycle cost. Taillandier et al (2017) proposed an innovative method to generate action plans for real estate properties maintenance optimization. The authors decomposed each building into components and stated the problem from Real Estate Property Maintenance Problem (REPAIRMP) into a multidimensional knapsack problem (MOMKP).…”

Section: Literature Reviewmentioning

confidence: 99%

Constraint Programming Approach for Optimizing Business Asset Maintenance Strategy

Ramadhan¹,

Liu

2019

IJABR

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There are many buildings with various conditions in Indonesia and some of them are not in finest conditions that need maintenance treatment urgently. The absence of building maintenance decision-making tool and limited budget are among main factors that cause unmanageable maintenance program. Therefore, this study has been conducted to propose an optimization model that is capable to determine the most appropriate building maintenance treatment. This study applied Constraint Programming (CP) approach to select the most economical maintenance treatment for a certain building and to allocate annual maintenance budget. CP-based model in this study subjects to constraint of budget and targeted level of building condition. In this study, maintenance treatment options, budget, time period, building deterioration rates, and the minimum standard of building condition were set. The model was run in IBM ILOG CPLEX Optimization Studio since the software is very efficient and effective in processing the optimization model. Furthermore, a case study was carried out to run the model involving 41 buildings in a 10-year period, and two different scenarios were conducted to examine the optimization model. The results successfully validated that the model can be a decision-making tool in selecting and prioritizing effective maintenance treatment.

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Section: Literature Reviewmentioning

confidence: 99%

Constraint Programming Approach for Optimizing Business Asset Maintenance Strategy

Ramadhan¹,

Liu

2019

IJABR

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“…Al‐Dawod, Samali, Kwok, and Naghdy () apply the FLC to benchmark control problems including three typical steel structures, three‐, nine‐, and 20‐story building structures. Ahlawat and Ramaswamy () apply the FLC to the active and hybrid control of seismically excited nonlinear buildings structures in a multiobjective optimal design formulation (Taillandier, Fernandez, & Ndiaye, ; Wang et al, ) with peak interstory drift and floor acceleration as the two objective functions. Performance of the FLC‐driven active and hybrid control systems has been evaluated by application to the three aforementioned benchmark problems.…”

Section: Intelligent Controlmentioning

confidence: 99%

“…apply the FLC to the active and hybrid control of seismically excited nonlinear buildings structures in a multiobjective optimal design formulation(Taillandier, Fernandez, & Ndiaye, 2017; with peak interstory drift and floor acceleration as the two objective functions. Performance of the FLC-driven active and hybrid control systems has been evaluated by application to the three aforementioned benchmark problems.…”

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confidence: 99%

Control methodologies for vibration control of smart civil and mechanical structures

Adeli

2018

Expert Systems

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Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.

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“…Equation (36) ensures that the overall bandwidth request from i cognitive users should respect the capacity of each primary band j.…”

Section: Frequency Allocation In Cognitive Radio Networkmentioning

confidence: 99%

The 0/1 Multidimensional Knapsack Problem and Its Variants: A Survey of Practical Models and Heuristic Approaches

Laabadi¹,

Naimi²,

Amri³

et al. 2018

AJOR

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The 0/1 Multidimensional Knapsack Problem (0/1 MKP) is an interesting NP-hard combinatorial optimization problem that can model a number of challenging applications in logistics, finance, telecommunications and other fields. In the 0/1 MKP, a set of items is given, each with a size and value, which has to be placed into a knapsack that has a certain number of dimensions having each a limited capacity. The goal is to find a subset of items leading to the maximum total profit while respecting the capacity constraints. Even though the 0/1 MKP is well studied in the literature, we can just find a little number of recent review papers on this problem. Furthermore, the existing reviews focus particularly on some specific issues. This paper aims to give a general and comprehensive survey of the considered problem so that it can be useful for both researchers and practitioners. Indeed, we first describe the 0/1 MKP and its relevant variants. Then, we present the detailed models of some important real-world applications of this problem. Moreover, an important collection of recently published heuristics and metaheuristics is categorized and briefly reviewed. These approaches are then quantitatively compared through some indicative statistics. Finally, some synthetic remarks and research directions are highlighted in the conclusion.

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Real Estate Property Maintenance Optimization Based on Multiobjective Multidimensional Knapsack Problem

Cited by 29 publications

References 54 publications

Constraint Programming Approach for Optimizing Business Asset Maintenance Strategy

Constraint Programming Approach for Optimizing Business Asset Maintenance Strategy

Control methodologies for vibration control of smart civil and mechanical structures

The 0/1 Multidimensional Knapsack Problem and Its Variants: A Survey of Practical Models and Heuristic Approaches

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