Some Selected Case Study Applications

Some Selected Case Study Applications

DOI: 10.4018/978-1-4666-9873-4.ch007
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Abstract

Having examined the modelling principles of underpinning based decision support systems applied to construction in Chapter 6, this chapter will now demonstrate their detail applications in construction practice. Specifically, 7 decision-support systems will be examined. The choices are based on the fact that data for use in the decision support models are available. The decision-support systems considered are the matrix-based used in determining labor cost, sub-chaining method, linear regression, optimization (i.e. minimization) technique, Markov decision process and rule-based systems.
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Matrix-Based Decision Support Construction Costs Control Systems

The challenge in affording housing in urban environments has caused most dwellers with limited finances to turn to the informal sector. For example, according to a report by the Economic and Social Council (2005), although often criticized the informal sector offers nearly 87% of the urban housing in Cameroon. In Cameroon, the informal construction sector is characterized by set of non-regulatory mechanisms or practices, indiscriminate and non-regularized material sourcing, recruitment, remuneration of labor and the financing methods. It is important to note that most of these informal practices are driven by urban dwellers’ personal incomes and savings. The proportion of urban dwellers, especially in Yaoundé and Douala is surging with more than 90% in Yaoundé and more than 80% in Douala. Yaoundé is the political capital of Cameroon, and at the same time the capital of the Centre region. The Centre region of Cameroon is about 18. 2% of the whole population estimated at 19 406 100 inhabitants on 22th April 2010. Douala is the economic capital of Cameroon and the littoral region.

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