Fuzzy optimization model for earthwork allocations with imprecise parameters

Mohamad Karimi, S; Jamshid Mousavi, S; Kaveh, A and Afshar, A (2007) Fuzzy optimization model for earthwork allocations with imprecise parameters. Journal of Construction Engineering and Management, 133(2), pp. 181-190. ISSN 0733-9364

Abstract

Existing linear programming (LP) models of earthwork allocations in roadway construction assume that unit cost coefficients of earthwork activities and borrow pits/disposal sites capacities are certain and deterministic numbers. However in real-world problems there are naturally some uncertainties inherited in these values, which make it difficult to represent a single value as the candidate of entire possible values. This paper presents a fuzzy linear programming (FLP) model of earthwork allocations based on the fact of assuming unit cost coefficients and borrow pits/disposal sites capacities as fuzzy numbers while minimizing total earth-moving cost as an objective function. A method based on α cuts of a fuzzy set is used to take the uncertainty in borrow pits/disposal sites capacities into account. The uncertainty in fuzzy cost coefficients of the objective function and its effects on decision variables of the earthwork allocations model are also considered using the method presented by Chanas and Kuchta in 1994. Subsequently, a more general model is suggested which considers both uncertainties in borrow pits/disposal sites capacities and cost coefficients simultaneously. It is demonstrated that the presented FLP, compared to a deterministic LP, introduces a more robust solution; as the result of giving fuzziness to the uncertain parameters. Such a solution could be beneficial in real world decision making where uncertainties on resources and activities cost exist.

Item Type: Article
Uncontrolled Keywords: computer programming; earthwork; fuzzy sets; optimization; parameters; uncertainty principles
Index terms: fuzzy set, unit cost, earthwork, fuzzy optimization, linear programming, programming, decision-making
Subjects: construction methods, financial and cost management, decision-making and optimization, decision analysis, algorithms, programming
Topics: Cost Management, Engineering Principles, Risk Management, Digital Applications, Research Practice
Descriptive scope: 3 PCA

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