Research

Chance Constrained Aggregate Blending

Problems of material size variance and existence of multiple and sometimes conflicting managerial objectives in asphaltic aggregate mixing are considered. A chance constrained goal programming model is presented which seeks satisfaction of cost minimization as well as other goals. The model considered in this study demonstrates the added cost of satisfying gradation specifications at a given confidence level. While added cost is undesirable, the probabilistic solution will accomplish aggregate blending objectives, while deterministic solutions not considering variance will not.

Publication Information
Article Title: Chance Constrained Aggregate Blending
Journal: Journal of Construction Engineering and Management (1983)
Author(s): Lee, Sang M;  Olson, D.
Researcher Information
    
Lee, Sang M
Lee, Sang M
Emeritus
Expertise:
  • Entrepreneurship
  • Information Systems
  • International - Europe
  • International - South and Central America
  • International - Asia
Management
HLH 315H
P.O. Box 880491
University of Nebraska-Lincoln
Lincoln, NE 68588-0491, USA
Phone: (402) 472-3915
slee1@unl.edu