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Choudhry, R M, Hinze, J W, Arshad, M and Gabriel, H F (2012) Subcontracting Practices in the Construction Industry of Pakistan. Journal of Construction Engineering and Management, 138(12), 1353–9.

Cruz, N F d and Marques, R C (2012) Delivering Local Infrastructure through PPPs: Evidence from the School Sector. Journal of Construction Engineering and Management, 138(12), 1433–43.

Halman, J I M and Voordijk, J T (2012) Balanced Framework for Measuring Performance of Supply Chains in House Building. Journal of Construction Engineering and Management, 138(12), 1444–50.

Hanna, A S, Tadt, E J and Whited, G C (2012) Request for Information: Benchmarks and Metrics for Major Highway Projects. Journal of Construction Engineering and Management, 138(12), 1347–52.

Inyang, N, Al-Hussein, M, El-Rich, M and Al-Jibouri, S (2012) Ergonomic Analysis and the Need for Its Integration for Planning and Assessing Construction Tasks. Journal of Construction Engineering and Management, 138(12), 1370–6.

Kikuchi, S, Kronprasert, N and Easa, S M (2012) Aggregate Blending Using Fuzzy Optimization. Journal of Construction Engineering and Management, 138(12), 1411–20.

  • Type: Journal Article
  • Keywords: Aggregates; Mixtures; Construction materials; Fuzzy sets; Optimization; Aggregate blending; Mixture design; Construction materials; Fuzzy optimization; Multiobjective optimization;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000557
  • Abstract:
    Aggregate blending is a process that blends available aggregates to create a blend that meets gradation specifications while minimizing the unit cost of the blend. Today’s aggregate blending process is a multiobjective optimization problem that involves not only minimizing cost but also satisfying other specifications of the blend, such as fineness modulus, plasticity index, and specific gravity. Gradation limits are usually expressed in terms of the range of the percentage passing each sieve. In the traditional approach, rigid values are used for the gradation limits, and as a result, gradation and other specifications are frequently met at the limits during optimization, which is not particularly desirable. This paper proposes an approach for aggregate blending using fuzzy optimization method. The approach selects the best mix of aggregates such that not only are the individual gradation specifications met within the specification limits, but also their desirability within each range is satisfied as much as possible. In the proposed model, functions that represent the decision maker’s satisfaction with respect to the blend’s unit cost and physical properties are introduced. The proposed model is compared with two traditional optimization models using the example data found in two previous models. The results show that the proposed approach is useful for real-world application as it is robust in terms of its ability to deal with many constraints and objectives, the practitioner’s uncertainty about the limits of the specification ranges, and the desire to achieve different objectives.

Mostafavi, A, Valentin, V, Abraham, D M and Louis, J (2012) Assessment of the Productivity of Nighttime Asphalt Paving Operations. Journal of Construction Engineering and Management, 138(12), 1421–32.

Sullivan, K T and Oates, H D (2012) Analysis of Arizona’s LEED for New Construction Population’s Credits. Journal of Construction Engineering and Management, 138(12), 1386–93.

Tamer, Z, Yoon, Y and Hastak, M (2012) Protocol for Profitability Analysis Using Internal Entities in Organizational Structure of Construction Companies. Journal of Construction Engineering and Management, 138(12), 1394–402.

Taylor, T R B, Uddin, M, Goodrum, P M, McCoy, A and Shan, Y (2012) Change Orders and Lessons Learned: Knowledge from Statistical Analyses of Engineering Change Orders on Kentucky Highway Projects. Journal of Construction Engineering and Management, 138(12), 1360–9.

Wibowo, A, Permana, A, Kochendörfer, B, Kiong, R T L, Jacob, D and Neunzehn, D (2012) Modeling Contingent Liabilities Arising from Government Guarantees in Indonesian BOT/PPP Toll Roads. Journal of Construction Engineering and Management, 138(12), 1403–10.

Zhang, D, Haas, C T, Goodrum, P M, Caldas, C H and Granger, R (2012) Construction Small-Projects Rework Reduction for Capital Facilities. Journal of Construction Engineering and Management, 138(12), 1377–85.