1 AIT Asian Institute of Technology

A probabilistic programming model for optimizing aggregates proportions in an asphalt mixing plant

AuthorChen, Stephen Shyh-yih
Call NumberAIT Thesis no. IE-79-04
Subject(s)Pavements, Asphalt concrete--Mathematical models

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology
PublisherAsian Institute of Technology
AbstractThe primary objective of this research is to formulate a probabilistic programming model to find .the optimal mix proportion of aggregates in asphalt mixing plants in order to minimize the cost which consists of the material cost and the expected penalty cost. The Taichung Asphalt Mixing Plant of the Taiwan Highway Bureau, The Republic of China, is chosen to be the real case for data collection and model testing. The direct search technique is applied to solve the problem while the linear programming model is used to find an initial value of the direct search procedure. The procedure for the optimization model developed is computer oriented. The model is probabilistic since the gradation, which is the major parameter, is a random variable. The result of the probabilistic programming model is compared with that of currently used graphical and trial-and-error method as well as the deterministic linear programming method. From the comparison of results, it is found that the probabilistic programming appears to be most efficient in finding the optimal mix proportion of aggerates.
Year1979
TypeThesis
SchoolSchool of Engineering and Technology
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSIndustrial Engineering (IE)
Chairperson(s)Tabucanon, Mario T. ;Pakorn Adulbhan;
Examination Committee(s)Tang, John C.S.;
Scholarship Donor(s)Government of the Republic of China ;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1979


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