Aggregate network model of ship overhaul
Operations Research Center, University of California, Berkeley, 1982 - Business & Economics - 148 pages
A new approach is presented for the problem of allocating labor resources among ship overhaul projects in a shipyard. It is based on a management-level model of project execution, which describes the alternative distributions of labor use over the life of a project. The model consists of a network of major project components called aggregate activities. It includes mathematical constraints which ensure that activities operate consistently with each other. The analysis of data on a large overhaul provided valuable insight for construction of the model. A linear program (LP) is used to dynamically allocate labor resource capacities among projects. The LP formulation allows the impact of alternative allocations and capacities to be studied. Plans for future projects can be evaluated under various assumptions. Problems of realistic size are readily handled by existing computer packages. The aggregate model of project execution is proposed as an effective tool for planning of multi-project resource use. Although the model was developed in the context of shipyard planning, it is believed to be equally applicable to other repetitive construction industries, for example, aircraft or radar systems manufacturing. It provides a link between resource planning and detailed project planning. As such, it can improve management's control over project performance and labor productivity.
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activity operating modes aggregate activity network aggregate network aggregate overhaul model aggregate planning amount of Rk assume coefficients computed Critical Path Method Cumulative Intensity Curves defined denote dynamic activity analysis early and late early operating mode Engine Room Components event node example Exhibit 3.9 future overhauls index set Intensity Bounds intermediate product input intermediate product output intermediate product transfers key event dates key-op network labor resource labor shop capacities labor use plan last phase late mode level of detail linear program LP model man-days middle phase Misc monitoring events operates tightly operating intensity Overhaul Data overhaul execution overhaul planning partitioning points phase variables physical unit planning and scheduling predecessors progress transfer constraints Reinstall relative progress transfer removal resource Rk restraining events scheduling and control Section ship overhaul SHIPYARD RESOURCE ALLOCATION slack successors technical system tight operating total resource window curves workspace limitations Zf(t Zfit