Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 12 results ...

Anastasopoulos, P C, Haddock, J E and Peeta, S (2014) Cost Overrun in Public-Private Partnerships: Toward Sustainable Highway Maintenance and Rehabilitation. Journal of Construction Engineering and Management, 140(06).

Becker, T C, Jaselskis, E J and El-Gafy, M (2014) Improving Predictability of Construction Project Outcomes through Intentional Management of Indirect Construction Costs. Journal of Construction Engineering and Management, 140(06).

Chen, Y Q, Zhang, Y B and Zhang, S J (2014) Impacts of Different Types of Owner-Contractor Conflict on Cost Performance in Construction Projects. Journal of Construction Engineering and Management, 140(06).

El-Abbasy, M S, Senouci, A, Zayed, T, Mirahadi, F and Parvizsedghy, L (2014) Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis. Journal of Construction Engineering and Management, 140(06).

Hawas, F and Cifuentes, A (2014) Valuation of Projects with Stochastic Cash Flows and Intertemporal Correlations: Practical Modeling Guidelines. Journal of Construction Engineering and Management, 140(06).

Ko, C and Chung, N (2014) Lean Design Process. Journal of Construction Engineering and Management, 140(06).

Lee, H W, Choi, K and Gambatese, J A (2014) Real Options Valuation of Phased Investments in Commercial Energy Retrofits under Building Performance Risks. Journal of Construction Engineering and Management, 140(06).

Maghrebi, M, Travis Waller, S and Sammut, C (2014) Assessing the Accuracy of Expert-Based Decisions in Dispatching Ready Mixed Concrete. Journal of Construction Engineering and Management, 140(06).

  • Type: Journal Article
  • Keywords: Concrete; Optimization; Decision making; Construction management; Ready mixed concrete; Optimization; Integer programming; Expert decision-making; Quantitative methods;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000853
  • Abstract:
    In ready mixed concrete (RMC) dispatching, common practice is to rely on human experts for any necessary real-time decision making. This is because of the perceived complexity of RMC dispatching and the general lack of highly applicable optimization tools for the task. Critically, the accuracy of expert decisions (compared to optimization approaches) has not been comprehensively examined in the literature. To address the question of current practice expert accuracy in the context of optimized outcomes, this paper first mathematically models the RMC dispatching problem according to methods introduced in the literature. Two approaches are taken: integer programming (without time windows) and mixed-integer programming (with time windows). Further, the constructed models are tested with field data and compared to the decisions made by experts. The RMC data set has four depots and approximately 40 trucks that typically supply 40–200 deliveries per day. The results show that, on average, experts’ decisions are 90% accurate compared to the optimization models under examination. Finally, further investigation suggests that at least a portion of this optimality gap between expert and optimization models occurs because experts in critical situations accept a higher cost to ensure a more stable dispatching system.

O’Connor, J T, O’Brien, W J and Choi, J O (2014) Critical Success Factors and Enablers for Optimum and Maximum Industrial Modularization. Journal of Construction Engineering and Management, 140(06).

Russell, M M, Hsiang, S M, Liu, M and Wambeke, B (2014) Causes of Time Buffer and Duration Variation in Construction Project Tasks: Comparison of Perception to Reality. Journal of Construction Engineering and Management, 140(06).

West, J (2014) Collaborative Patterns and Power Imbalance in Strategic Alliance Networks. Journal of Construction Engineering and Management, 140(06).

Zhang, S, Migliaccio, G C, Zandbergen, P A and Guindani, M (2014) Empirical Assessment of Geographically Based Surface Interpolation Methods for Adjusting Construction Cost Estimates by Project Location. Journal of Construction Engineering and Management, 140(06).