1) Create a BIM-Based Actual Cost Database
Develop a 5D relational database that integrates 3D models, time, and process dimensions to manage costs efficiently. This system allows for timely entry of actual cost data, enabling instant access to cost summaries, statistics, and detailed breakdowns.
The primary data input into the BIM actual cost database includes unit quantities, labor, and machinery rates for each Work Breakdown Structure (WBS) unit.
For projects without pre-established contract prices, initial entries should be based on budgeted prices. Once actual cost data becomes available, it should promptly replace the budgeted figures to maintain accuracy.
2) Timely Entry of Real Cost Data into the Database
Initially, BIM actual cost data relied on contract prices and company consumption quotas. However, as the project progresses, discrepancies often arise between actual and quota consumption, requiring timely adjustments. Monthly inventories of actual consumption help update the cost data regularly, breaking down large tasks into manageable components and reducing one-time workloads while ensuring data precision.
Material Costs: Final adjustments should reflect actual material consumption, not just financial payments. Financial records alone can be misleading due to various scenarios such as materials delivered without contracts, materials onsite but unpaid, or unpaid purchases. Relying solely on financial payments can cause significant errors in cost calculations.
Warehouses must conduct monthly inventories and provide detailed consumption reports to the cost analysts. These analysts update the actual material consumption for each WBS accordingly.
Labor Costs: Adjustments should be based on actual project progress and approved work volumes as per contractual agreements. Since a single labor team may work across multiple WBS units, labor costs must be allocated and detailed per WBS according to contracts and employment records.
Mechanical Turnover Materials: Attention is required to allocate these costs accurately across WBS units. Some costs may need separate approval based on specific measures.
Management Fees: The finance department performs monthly inventories and delivers data to cost analysts for adjusting budgeted costs to actual expenses. For projects with uncertain actual costs, budgeted amounts are still included in the actual cost calculations.
By following this approach, workload is significantly reduced after establishing the foundational data, allowing for immediate generation of various cost analysis reports.
3) Rapid Implementation of Multidimensional (Time, Space, WBS) Cost Analysis
Maintaining and regularly updating the actual cost BIM model on a monthly or quarterly basis simplifies statistical analysis. The software’s robust analytical capabilities can meet diverse cost analysis requirements efficiently.
The BIM-based actual cost accounting method offers several advantages over traditional approaches:
- Speed: The 5D BIM cost database greatly enhances the ability to summarize and analyze costs rapidly, eliminating the challenges of short-term cost analysis. This reduces workload and increases efficiency.
- Accuracy: Dynamic maintenance of cost data significantly improves accuracy compared to traditional methods. While some errors in consumption data may remain, this method meets analytical needs effectively. Total quantity statistics help eliminate cumulative errors, improving cost data accuracy as the project advances. Additionally, the BIM model allows easy identification of projects lacking actual cost data, supports real-time inventory oversight by cost category, and provides reliable actual data.
- Strong Analytical Capability: The system supports comprehensive cost reporting and analysis across various types and dimensions, including time, location, and WBS hierarchy.
- Enhanced Headquarter Cost Control: By centralizing the actual cost BIM model on the enterprise’s headquarters server via the Internet, both the headquarters’ cost and finance departments can share detailed actual cost data for each project. Data granularity extends down to component levels, fostering information symmetry between headquarters and project teams and significantly strengthening cost control at the corporate level.















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