Montemanni, R; Toklu, N E; Toklu, S C and Toklu, Y C (2012) Aggregate blending via robust linear programming. Journal of Construction Engineering and Management, 138(2), pp. 188-196. ISSN 0733-9364
Abstract
Aggregate blending is a problem frequently encountered in the construction industry. In this article, it is shown that robust linear programming can be used to produce solutions protected against noisy data with the same computational complexity of the classic optimization methods for the problem. It is also shown that nonlinear cost functions can be approximated by piecewise linear functions, keeping complexity at a low level. Finally, experimental results are presented. The aim is to understand how robust linear programming solutions compare with those of other methods previously described in the literature and to evaluate the actual quality of the robust solutions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | aggregate blending; linear programming; robust optimization |
| Index terms: | complexity, low level, linear programming, aggregate, construction industry |
| Subjects: | algorithms, measurement and scaling, industry analysis, systems engineering, materials science |
| Topics: | Engineering Principles, Research Practice, Digital Applications |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here