Estimating building materials cost in urban housing construction projects, based on matrix calculation: the case of Cameroon

Pettang, Chrispin; Mbumbia, Laurent; Foudjet, A.

doi:10.1016/s0950-0618(96)00030-x

Cited by 27 publications

(9 citation statements)

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“…Several researchers have also developed methodologies for improving lifecycle-cost assessments, with some focusing on costs during the early design process of buildings and other types of infrastructure. For example, matrix-based frameworks for choosing cost-efficient materials were investigated by Pettang et al [21], whose estimates of projects' construction costs included labor, materials, and operation and management costs, in an effort to support decision making by construction stakeholders in a range of material scenario. Later, Günaydın and Dogan [22] proposed a novel cost-estimation approach based on artificial neural networks (ANNs) but, again, focused on the early stage of building construction.…”

Section: Literature Reviewmentioning

confidence: 99%

Natural Hazard Influence Model of Maintenance and Repair Cost for Sustainable Accommodation Facilities

2020

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To optimally maintain buildings and other built infrastructure, the costs of managing them during their entire existence—that is, lifecycle costs—must be taken into account. However, due to technological improvements, developers now build more high-rise and high-performance buildings, meaning that new approaches to estimating lifecycle costs are needed. Meanwhile, an accelerating process of industrialization around the world means that global warming is also accelerating, and the damage caused by natural disasters due to climate change is increasing. However, the costs of losses related to such hazards are rarely incorporated into lifecycle-cost estimation techniques. Accordingly, this study explored the relationship between, on the one hand, some known parameters of natural disasters, such as earthquakes, high winds, and/or flooding, and on the other hand, the data on exceptional maintenance costs, represented by gross loss costs, generated by a large international hotel chain from 2007 to 2017. The regression model used revealed a correlation between heavy rain and insurance-claim payouts. This and other results can usefully inform safety and design guidelines for policymakers, both in disaster management and real estate, as well as in insurance companies

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Section: Literature Reviewmentioning

confidence: 99%

Natural Hazard Influence Model of Maintenance and Repair Cost for Sustainable Accommodation Facilities

2020

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“…We can classify them into three groups: There are fast methods (unit method, covered area method…), there are detailed methods such as analytical methods [11], the simple matrix approaches [12,13], and finally there are automatical methods such as UNIFORMAT II [14].…”

Section: Preceding Studiesmentioning

confidence: 99%

“…In the simple matrix approach [13] based on the product of tables, the impact of the materials cost (CMa) was highlighted for the most current construction types, namely: masonry brick, stabilized ground blocks, wood and mud mortar gathering. The expression of C Ma is written as follow:…”

Section: Preceding Studiesmentioning

confidence: 99%

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A Decision Support Tool for Cost Mastering in Urban Self-Construction: The Case of Cameroon

Manjia¹,

Kedang²,

Louzolo-Kimbembé³

et al. 2010

TOBCTJ

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Abstract:The critical housing shortage in cities of the developing countries like Cameroon generates an ever-growing desire to increase housing supply. The main group of actors in this domain are by and large the formal sector, while the informal sector is still inactive. Because of the legalities and costs associated with the formalities surrounding the provision of formal housing, the majority of urban residents are bypassed by the formal housing policies. The only alternative for them is thus self-construction. This mode of housing provision, although difficult, has become a dominant mode of providing housing within the construction sector of the developing countries. Consequently, this mode of housing provision now features in mainstream specialised literature, with an aim to promote the sector. Furthermore, several techniques of mastering self construction costs have been elaborated. However, given the complexity of abundant (albeit unqualified) labour, there is still a case for further research in the self-construction forms of housing, especially in terms of their adaptability. The sector is criticised for being characterised by unclear cost accounting methods, as well as the ubiquitous below-par management techniques which themselves lead to delays in the completion of such housing projects. In light of the foregoing exposition, the article presents a method of estimating labour costs based on a developed matrix model. Through the introduction of the finite dimensional vector space made up of the standard tasks, the model draws up a direct relationship between the quantity of work and the labour cost. The illustration of this new approach, through a case study shows that it is possible to reduce the labour cost of up to 37%, compared to the simple matrix method as examined by other researchers. The Developed Matrix Approach (MASTA) based on standard tasks thus constitute a decision-making tool that is not only for optimisation of productivity but also a symbol of good management

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“…To this end, designers use a number of cost estimating techniques and intuitive judgments by utilizing both their experience and data from previous projects. Several cost estimating methods for the different phases of a project can be observed in the literature, including; traditional detailed breakdown cost estimation; simplified breakdown cost estimation; cost estimation based on cost functions; activity based cost estimation; cost index method; and expert systems [1][2][3]. Traditional cost estimating procedures follow a quantity take off, while comparative cost estimating relies on parameters such as type, size, and capacity of building.…”

Section: Introductionmentioning

confidence: 99%

A neural network approach for early cost estimation of structural systems of buildings

Günaydın

Doğan

2004

International Journal of Project Management

230

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The importance of decision making in cost estimation for building design processes points to a need for an estimation tool for both designers and project managers. This paper investigates the utility of neural network methodology to overcome cost estimation problems in early phases of building design processes. Cost and design data from thirty projects were used for training and testing our neural network methodology with eight design parameters utilized in estimating the square meter cost of reinforced concrete structural systems of 4-8 storey residential buildings in Turkey, an average cost estimation accuracy of 93% was achieved.

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Estimating building materials cost in urban housing construction projects, based on matrix calculation: the case of Cameroon

Cited by 27 publications

References 1 publication

Natural Hazard Influence Model of Maintenance and Repair Cost for Sustainable Accommodation Facilities

Natural Hazard Influence Model of Maintenance and Repair Cost for Sustainable Accommodation Facilities

A Decision Support Tool for Cost Mastering in Urban Self-Construction: The Case of Cameroon

A neural network approach for early cost estimation of structural systems of buildings

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