Information Utilization in Project Planning

by Donald E. Kawal, Operations Analyst; Lueder Constr. Co., Omaha, NE; formerly, Asst Prof., Building Constr., Civ. Engrg. Dept., Iowa State Univ., Ames, IA,

Serial Information: Journal of the Construction Division, 1971, Vol. 97, Issue 2, Pg. 227-240

Document Type: Journal Paper

Abstract: The construction company management information systems payroll, cost estimating, and project management provide relevant information for project planning. Each system is individually described as it relates to project planning. Subsequently a composite information system for project planning is described. These forecasting models moving average, exponential smoothing, and probability provide assistance in project task duration estimation by transforming past production data. The moving average models yields a good estimate for relatively constant historical data. The exponential smoothing model provides the capability to detect trends through the use of an exponential weighing smoothing constant. The probability model is independent of time and utilizes the probability the production rate will be equal to or less than a specific value. The exponential smoothing model requires the least amount of computer memory. The three models are illustrated by an example.

Subject Headings: Information management | Information systems | Data processing | Project management | Probability | Systems management | Computer models |

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