Search Swinburne Research Bank
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/210336
- Cost estimation in flat plate processing using fuzzy sets
- Jahan-Shahi, H.; Shayan, E.; Masood, S.
- Cost estimation in Flat Plate Processes (FPPs) involves a combination of man, machine and resources and consequently, a combination of physical processes, engineering resources and economic laws as well as actions and behaviour of people should be taken into consideration. Thus, in cost estimation process, apart from physical and engineering variables, there often exist several subjective criteria, which need to be described qualitatively and linguistically. In addition, there are some probabilistic or random variables including labour fatigue, shortage of resources and materials, failure of machines, unavailability of facilities and so on, which can not be accurately predicted. Using analytical and mathematical approaches, it is not possible to quantify and transform these imprecise and subjective criteria and random factors into proper input variable in the cost estimation model. Therefore, the state of uncertainty should be considered in cost estimation problem in some ways. In this paper, fuzzy sets and probability distribution approaches are applied to tackle the problem of uncertainty in cost estimation in order to generate reliable cost estimates in flat plate processing industry.
- Publication type
- Journal article
- Research centre
- Swinburne University of Technology. Industrial Research Institute Swinburne
- Computers and Industrial Engineering: incorporating the proceedings of the 24th International Conference on Computers and Industrial Engineering, Middlesex, United Kingdom, 02-04 September 1998, Vol. 37, no. 1 (Oct 1999), pp. 485-488
- Publication year
- Computer aided design; Computer aided manufacturing; Computer control; Computer simulation; Costs; Estimation; Flat plate processing; Fuzzy sets; Numerical control systems; Probability distributions; Uncertainty
- Publisher URL
- Copyright © 1999.
- Peer reviewed