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Echeverry, D, Ibbs, C W and Burati, J (1988) Graduated Unit Price Payment Schedules. Journal of Construction Engineering and Management, 114(01), 1–18.

Griffis, F H & and Butler, F M (1988) Case for Cost‐Plus Contracting. Journal of Construction Engineering and Management, 114(01), 83–94.

Grimm, C T (1988) Brick Masonry Workmanship Statistics. Journal of Construction Engineering and Management, 114(01), 147–9.

Kashiwagi, K, Rubin, R A and Harris, M R (1988) Construction Law and Practice in Japan. Journal of Construction Engineering and Management, 114(01), 104–13.

Kirby, J G, Furry, D A and Hicks, D K (1988) Improvements in Design Review Management. Journal of Construction Engineering and Management, 114(01), 69–82.

Loper, J H, Marquis, E L and Rhomberg, E J (1988) Precast Prestressed Long‐Span Bridges. Journal of Construction Engineering and Management, 114(01), 95–103.

Martin, G L (1988) Training Programs for Engineering Consulting Firms. Journal of Construction Engineering and Management, 114(01), 121–32.

Rajagopalan, K S (1988) Supports for Traveling Cranes: Case History. Journal of Construction Engineering and Management, 114(01), 114–20.

Russell, A D and Caselton, W F (1988) Extensions to Linear Scheduling Optimization. Journal of Construction Engineering and Management, 114(01), 36–52.

  • Type: Journal Article
  • Keywords: Computer programming; Construction methods; Scheduling; Sensitivity analysis;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1988)114:1(36)
  • Abstract:
    A two‐state‐variable, N‐stage dynamic programming formulation of the linear scheduling problem is presented. The state variables are vectors. For any one activity, the first state variable represents a set of possible durations required to complete work at each of the locations. Likewise, for any one activity, the second state variable represents a set of possible interrupt durations between work performed at adjacent locations. Choices of activity duration and interrupt duration vectors are considered for each of the activities involved in a project. The problem is formulated within a conventional dynamic programming framework with the objective of minimizing the overall project duration. The methodology accounts for several of the realities of repetitive construction, including generalized precedence relationships and the ability to treat a variety of work continuity constraints. In addition, a sensitivity analysis procedure is described which permits the identification of near‐optimal solutions, providing the user with schedule alternatives that might suit additional non‐quantifiable criteria better. The Selinger bridge construction example is used to illustrate application of the two‐state‐variable formulation and sensitivity analysis procedure.

Sherman, P J (1988) Japanese Construction R&D: Entrée into U.S. Market. Journal of Construction Engineering and Management, 114(01), 133–43.

Skibniewski, M and Hendrickson, C (1988) Analysis of Robotic Surface Finishing Work on Construction Site. Journal of Construction Engineering and Management, 114(01), 53–68.

Tatum, C B and Funke, A T (1988) Partially Automated Grading: Construction Process Innovation. Journal of Construction Engineering and Management, 114(01), 19–35.