Resource Allocation Logic Framework to Meet Highway Asset Preservation (2012) / Chapter Skim
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30 C h a p t e r 4 This chapter describes the mathematical general computational and optimization approaches employed in the proposed Resource Allocation Logic Framework. To begin with, the basic taxonomy to describe, break down, and roll up allocations will ultimately be user defined as a basic starting point in applying the allocation logic framework.
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resource allocation Logic Framework Development 31 A linear programming approach is recommended to support resource allocation logic. This approach is advantageous for the following reasons: • Can be the basis for optimal solutions • Is commonly used by state DOTs for optimization problems • Is easy to understand and communicate compared with other optimization techniques • Is typically user- and data-friendly Linear programming uses mathematical functions that are available in Excel to solve the resource allocation optimization.
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32 resource allocation Logic Framework for highway asset preservation of the problem formulation and is essential for ensuring that state DOTs are allocating resources optimally and in a manner consistent with state policies, goals, and objectives. From this perspective, the objective function can be quite specific, focusing on certain aspects of highway preservation.
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resource allocation Logic Framework Development 33 sible objective functions can be tested reasonably well by manipulation of various input values and small adjustments in Excel model equations. 4.2.3 Constraints The purpose of the constraints is to define the "limits" or "boundaries" of certain aspects that agencies must conform to when they try to maximize overall network performance.
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34 resource allocation Logic Framework for highway asset preservation The research team considered how the computational model would take into account resource allocation impact on the future asset preservation life-cycle costs (LCC)
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resource allocation Logic Framework Development 35 resource needs, optimize allocation, or calculate constraints for allocating resources, respectively. A value of N in the third column (Need)
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36 resource allocation Logic Framework for highway asset preservation • Guardrails • Safety structures • Lighting • Roadside • Landscaping Table 4-4 shows a sample asset management taxonomy used by Virginia DOT. There are two things to bear in mind on the topic of AAGs: • The allocation logic framework will be applicable for any realistic set of highway AAGs.
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resource allocation Logic Framework Development 37 Because we are determining high-level statewide and districtwide estimates to set overall allocations (and not work planning or project selection) , coming up with best estimates of the required data will be sufficient.
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38 resource allocation Logic Framework for highway asset preservation unit costs for NBP assets is a bit more challenging because of the lack of detailed condition and inventory information. Average unit cost to restore to an as-new or nearly new condition standard can be estimated based on quantities restored and material/labor cost estimates or on-average costs of projects divided by units (e.g., miles, feet, count)
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resource allocation Logic Framework Development 39 of treatments can vary significantly among available options. Similarly, the deterioration rates and unit costs can vary significantly based on the asset type or category (e.g., asphalt vs.
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40 resource allocation Logic Framework for highway asset preservation 4.3.6 Historical Data Most state agencies maintain a detailed log of the historical expenditures. The data is readily available for bridges and pavement, in particular.
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