A Formal Process to Create Resource-Loaded & Cost-Loaded ...
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A Formal Process to Create Resource-Loaded & Cost-Loaded ...
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CIFE
CENTER FOR INTEGRATED FACILITY ENGINEERING
A Formal Process to Create Resource-Loaded & Cost-Loaded Activities Related to Feature-Based Product Models By
Sheryl Staub-French, Martin Fischer, John Kunz, Boyd Paulson, and Kos Ishii
If you would like to contact the authors, please write to:
c/o CIFE, Civil and Environmental Engineering Dept., Stanford University Terman Engineering Center Mail Code: 4020 Stanford, CA 94305-4020
2
WORKING PAPER #71 A FORMAL PROCESS TO CREATE RESOURCE-LOADED AND COST-LOADED ACTIVITIES RELATED TO FEATURE-BASED PRODUCT MODELS Sheryl Staub-French1, Martin Fischer2, John Kunz3, Boyd Paulson4, Kos Ishii5
Abstract Understanding how the building design influences construction costs is a challenging task for estimators. Estimators must recognize the design conditions that affect construction costs and customize the cost estimate accordingly. Estimators have different preferences for how and when to adjust a project’s activities, resources, and resource productivity rates that form the basis of a cost estimate. Current tools and methodologies lack ways to help estimators customize construction cost information according to their preferences and maintain cost estimates as the design changes based on those preferences. This paper describes the formal process we developed to customize a project’s activities, resources, and resource productivity rates based on a project-independent representation of estimators’ rationale and a project-specific feature-based product model. The formal process creates a set of project-specific activities that know why they are needed in the cost estimate, what feature requires their execution, what resources are executing the activity and why, and what their labor and material costs are. The formal process leverages the explicit relationships between features, activities, resources, resource productivity rates, and the estimator’s rationale to identify the cost information affected by design changes. Our tests show that the formal process enables a software prototype to generate and maintain cost estimates quickly and consistently for feature-based product models.
1
Assistant Professor, Department of Civil Engineering, University of British Columbia, Vancouver, BC, Canada, V6T 1Z4, [email protected] 2 Associate Professor, Department of Civil and Environmental Engineering and (by Courtesy) Computer Science, Director, Center for Integrated Facility Engineering, Stanford University, Stanford, CA 94305, [email protected] 3 Executive Director, Center for Integrated Facility Engineering, Stanford University, Stanford, CA 94305, [email protected] 4 Professor, Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305, [email protected] 5 Associate Professor, Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, [email protected]
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1. Introduction and Overview Construction cost estimators are confronted with the challenging task of having to estimate the cost of constructing one-of-a-kind facilities. Estimators must recognize the design conditions of the facility design that are important (i.e., incur a cost) and how they affect construction costs.
Estimators have different preferences for what design
conditions they want to consider and how the cost estimate should be adjusted to account for them. Today, estimators account for the cost impact of many design conditions by manually adjusting the project’s activities, resources, and resource productivity rates that form the basis of a cost estimate for a specific design. Then, if the design changes, estimators have to manually identify the cost information affected and adjust the activities and resources accordingly so that the project’s design and cost estimate remain in balance. Estimators make these project-specific adjustments manually because current tools and methodologies are unable to customize the project’s activities and resources and create an integrated model that explicitly relates the design conditions, activities, and resources with the estimator’s preferences. Without automated support to customize construction cost information for a given design based on a specific estimator’s preferences, cost estimators often employ ad hoc methods that are prone to error and result in inconsistencies and inefficiencies in the cost estimating process. Prior research efforts demonstrate that cost estimates can be generated directly from 3D models (Laitinen 1998; Aouad et al. 1994; Froese et al. 1996; Aouad et al. 1997; Clayton et al. 1996).
They identify the typical activities, resources, and resource
productivity rates to calculate construction costs for a specific component in a product model and explicitly relate the components, activities, resources, and costs.
These
research efforts do not customize construction cost information for specific design conditions in a given product model and they do not account for different estimator preferences. Moreover, they do not represent why components, activities, resources, and costs are related and when the relationships are needed. Other research efforts recognize design conditions that affect construction costs and customize the activity’s resources and resource productivity rates accordingly (Fischer 1991; Hanna et al. 1992; Udaipurwala and Russell 2000; Froese and Rankin 1998; Thomas and Zavrski 2000; Thomas and Sackrakan 1994; de Sousa and Thomas 1996; Smith and Hanna 1993; Sanders and 2
Thomas 1991).
However, these research efforts do not represent and account for
different estimator preferences when customizing the project’s resources and resource productivity rates to the design conditions on a particular project.