Multi-objective simulation-optimization for earthmoving operations

Zhang, Hong

doi:10.1016/j.autcon.2008.05.002

Cited by 66 publications

(35 citation statements)

References 31 publications

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“…neither a precise performance nor a probability distribution can be specified in MAUT. Zhang (2008) proposed a framework of multi-objective simulation optimization for optimizing equipment-configurations of earthmoving operations by integrating an activity object-oriented simulation, MAUT, a statistical approach like the two-stage ranking and selection procedure and particle swarm optimization algorithm. The MAUT was applied to evaluate the performances generated through simulation by considering multiple criteria and the preference of decision-makers.…”

Section: Multiple Attribute Utility Modelsmentioning

confidence: 99%

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman

Kaya

2012

Journal of Civil Engineering and Management

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Abstract. Multi-Attribute Utility Theory (MAUT) is an evaluation scheme which is very popular by decision makers for evaluating their judgments. According to MAUT, the overall evaluation U(x) of an object x is defined as a weighted addition of its evaluation with respect to its relevant value dimensions. The recent years have witnessed a huge concentration and interest in intelligent buildings' performance that is increasingly evidenced in building design and construction. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances. For this aim, in this paper a fuzzy multiple attribute utility model for intelligent building assessment is proposed and three alternative intelligent buildings for a business center in Istanbul are evaluated.

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Section: Multiple Attribute Utility Modelsmentioning

confidence: 99%

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Kahraman

Kaya

2012

Journal of Civil Engineering and Management

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“…Coupling rough sets, metamodels and ranking and selection may result in a highly effective approach for dealing with expensive and noisy objective functions. Also, given that rough sets have been shown to be effective in multiobjective optimization (see Hernández-Díaz et al 2006, 2008, another promising research avenue is the development of a SS/rough-sets for multiobjective simulation optimization, an area that has generated a fair amount of interest in engineering and science (Lee et al 1996;Mebarki and Castagna 2000;Yang and Chou 2005;Pasandideh and Niaki 2006;Rosen et al 2007Rosen et al , 2008Teng et al 2007;Zhang 2008;Willis and Jones 2008).…”

Section: Promising Areas For Future Researchmentioning

confidence: 99%

Scatter Search

Laguna

2013

Search Methodologies

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“…The main objectives of the optimization were to minimize time and cost of earthmoving operations, taking in consideration equipment availability, project indirect cost, and a group of qualitative and quantitative variables that influence the productivity of earthmoving operations. Zhang (2008) presented a framework that integrates simulation with multi-objective optimization for earthmoving operations. It utilizes par-ticle swarm optimization to select best equipment-configurations through earthmoving operations simulation.…”

Section: Literature Reviewmentioning

confidence: 99%

Framework for Sustainable Low-Income Housing Projects using Building Information Modeling

Marzouk¹,

Azab²,

Metawie³

2016

J ENVIRON INFORM

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ABSTRACT. Governments in developing countries serve low income people by constructing low income housing projects. Most of total life cycle cost (LCC) of these projects is incurred during the operational phase, making these projects lose their economic aspect of sustainability. Decreasing the cost of low income housing projects and taking into consideration the available resources are two crucial facets that should be taken into consideration. Therefore, this paper focuses on two aspects of the sustainability of building through its life cycle, which are environmental and economic aspects using environmentally friendly materials in construction. To accomplish this aim, a framework is developed that integrates Building Information Modeling (BIM) with computer simulation, optimization and system dynamics in Low Income Housing (LIH) projects. The developed framework helps in determining LIH project duration and selecting the optimum alternative with to material systems. The sustainability aspects of building are achieved by considering a LCC of these buildings and the number of points that can be awarded under the Leadership in Energy and Environmental Design (LEED) rating system. It aids government and/or contractors in adopting BIM technology to minimize life cycle cost while achieving maximum LEED materials credits points for LIH projects. Social Housing project in Badr City-Egypt is considered as a case study to demonstrate the use of the developed prototype and to illustrate its essential features. The results have shown that selection of sustainablebuilding materials for the construction has a crucial role in the formation of a sustainable building as they affect the performance of building. Therefore, the Egyptian government should consider building materials with sustainable properties and a low LCC in the design phase to mitigate the negative impacts of LIH projects.

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Multi-objective simulation-optimization for earthmoving operations

Cited by 66 publications

References 31 publications

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

A Fuzzy Multiple Attribute Utility Model for Intelligent Building Assessment

Scatter Search

Framework for Sustainable Low-Income Housing Projects using Building Information Modeling

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