Cost Estimation During Design Step: Parametric Method versus Case Based Reasoning Method

Duverlie, P.; Castelain, J. M.

doi:10.1007/s001700050147

Cited by 160 publications

(85 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They use expert knowledge and therefore allow us to solve the above-mentioned problems. This group of methods [7,8] includes, quite wrongly in our opinion, case-based methodology (evidently, this approach is the analogical method [9]). However, for the realization of Fig.…”

Section: Cost Estimation Methods-a Reviewmentioning

confidence: 99%

Knowledge-based methods for cost estimation of metal casts

Macioł

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The aim of the research presented in this paper was to verify the hypothesis that the problem of estimating the variable costs of metal casts can be solved by using knowledge-based systems. The estimation of variable costs determines the adequate pricing of products, which is a crucial marketing problem in enterprises. The problem of estimating the direct costs is especially important in companies whose participation in the market is defined as versatile manufacturing. This problem was the target of many studies presented in this paper. The assumptions that the direct costs of a metal cast are dependent on the physical features of the cast and the most effective method of cost estimation is an intuitive qualitative technique based on a rule-based system were considered. The nature of the relationships between the casts' features and the direct costs of production could be effectively formed by experts as reasoning rules. In this paper, the results of experiments conducted on the basis of the example of the production program of a foundry that manufactures water-system fittings is presented. Three methods of knowledge-definition and reasoning techniques were examined: the classical method of crisp reasoning, fuzzy reasoning with the Mamdani's method, and fuzzy reasoning with the Takagi-Sugeno model. Proper experiments were conducted. The results of the experiments confirmed the hypothesis, which allows the assessment of different reasoning methods.A. Maciol

show abstract

Section: Cost Estimation Methods-a Reviewmentioning

confidence: 99%

Knowledge-based methods for cost estimation of metal casts

Macioł

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…The CBR models used for cost estimates may be based on both quantitative and qualitative data [29]. In [30,31], it was noticed that, although some information is not specified, CBR models for long periods of use maintain quality and ability to solve problems and work better than other models. The use of CBR to estimate construction costs is based on searching for similar investments already completed.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method

Leśniak

Zima

2018

Sustainability

View full text Add to dashboard Cite

Abstract:The idea of sustainable development and the resulting environmentally friendly attitudes are increasingly used in construction projects. Designing in accordance with the principles of sustainable development has an impact on the costs of construction works. The authors of this paper proposed an approach to estimate the costs of sports field construction using the Case Based Reasoning method. In their analysis, they distinguished 16 factors that affect the cost of a construction project and are possible to already be described at an early stage of its preparation. The original elements of the work include: consideration of such environmental factors as the environmental impact of the building, materials used, the impact of the facility on the surroundings affecting the amount of implementation costs and development of own database containing 143 construction projects that are related to sports fields. In order to calculate the similarity of cases, different calculation formulas were applied depending on the type of data (quantitative, qualitative, uncertain, no data). The obtained results confirmed that the CBR method based on historical data and using criteria related to sustainable development may be useful in cost estimation in the initial phase of a construction project. Its application to the calculation of the costs that are related to the implementation of sports fields generates an error of 14%, which is a very good result for initial calculations. In the short run, such factors as the impact of the object and the type of materials that are used from the perspective of their influence on the environment may be decisive as far as the costs determined in the life cycle of the building are concerned, as well as the lowest costs of the building construction ensuring the appropriate quality and respect for the environment.

show abstract

“…The "analytical technique" is an activity based costing method in which the cost of individual work items is estimated and summed up to get total project cost (Makovšek, 2014;Duverlie and Castelain, 1999). The "analogical technique" of cost estimation is based on a comparison of the new system with a prior one (Molcho et al, 2014;Duverlie and Castelain, 1999).…”

Section: A Review Of Relevant Literaturementioning

confidence: 99%

Estimation of Highway Project Cost using Probabilistic Technique

Hannan¹,

Ahmed²,

Ashraf³

et al. 2017

dtetr

View full text Add to dashboard Cite

Accurate assessment of effort, time and resources for estimation of project cost is a challenging task for project managers. Several methodologies are commonly practiced around the globe for project cost estimation based on the project's scope, type, and availability of resources. In developing countries like Pakistan most of the construction projects face delay and cost overrun, and construction industry continues to use traditional methodologies for preparation of project cost estimates. Present study developed a probabilistic framework for project cost estimation using Monte Carlo Simulation. A probabilistic model is proposed for estimation of total project cost using data on key risk factors that included (1) labour efficiencies, (2) machine efficiencies, (3) construction material wastages, and (4) construction items' prices. Using data from completed highway projects, model validation results revealed that developed model has the ability to predict reliable future project cost.

show abstract

Cost Estimation During Design Step: Parametric Method versus Case Based Reasoning Method

Cited by 160 publications

References 7 publications

Knowledge-based methods for cost estimation of metal casts

Knowledge-based methods for cost estimation of metal casts

Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method

Estimation of Highway Project Cost using Probabilistic Technique

Contact Info

Product

Resources

About