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Bernold, L E (2007) Teaching Evaluations for Construction Engineering and Management: Opportunity to Move Us Forward. Journal of Construction Engineering and Management, 133(02), 146–56.

Fong, P S and Lung, B W (2007) Interorganizational Teamwork in the Construction Industry. Journal of Construction Engineering and Management, 133(02), 157–68.

Hegab, M Y and Smith, G R (2007) Delay Time Analysis in Microtunneling Projects. Journal of Construction Engineering and Management, 133(02), 191–5.

Ibbs, W and Nguyen, L D (2007) Schedule Analysis under the Effect of Resource Allocation. Journal of Construction Engineering and Management, 133(02), 131–8.

Lee, E and Thomas, D K (2007) State-of-Practice Technologies on Accelerated Urban Highway Rehabilitation: I-15 California Experience. Journal of Construction Engineering and Management, 133(02), 105–13.

Mayer, Z and Kazakidis, V (2007) Decision Making in Flexible Mine Production System Design Using Real Options. Journal of Construction Engineering and Management, 133(02), 169–80.

McCowan, A K and Mohamed, S (2007) Decision Support System to Evaluate and Compare Concession Options. Journal of Construction Engineering and Management, 133(02), 114–23.

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(02), 181–90.

  • Type: Journal Article
  • Keywords: Earthwork; Optimization; Uncertainty principles; Fuzzy sets; Computer programming; Parameters;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:2(181)
  • 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.

Sakka, Z I and El-Sayegh, S M (2007) Float Consumption Impact on Cost and Schedule in the Construction Industry. Journal of Construction Engineering and Management, 133(02), 124–30.

Stoy, C and Schalcher, H (2007) Residential Building Projects: Building Cost Indicators and Drivers. Journal of Construction Engineering and Management, 133(02), 139–45.