Project performance modeling: A methodology for evaluating project execution strategies

Alarcon-Cardenas, L F (1992) Project performance modeling: A methodology for evaluating project execution strategies. PhD thesis, University of California, Berkeley, USA.

Abstract

A performance modeling methodology for application to individual projects has been developed. The model combines experience captured from experts with assessments from the project team. The methodology consist of a conceptual qualitative model structure, and a mathematical model structure. The conceptual model structure, called General Performance Model (GPM), is a simplified model of the variables and interaction that influence project performance. The mathematical model uses concepts of cross-impact analysis and probabilistic inference to capture the uncertainties and interactions among project variables. Special attention was given to cognitive aspects in the modeling process. Problem representation, human problem solving and prevention of biases in the assessment processes were object of study. Influence diagrams, directed meetings and other questioning tools sensitive to human cognitive needs were integrated into a systematic knowledge acquisition methodology to obtain assessments from the users. Project options such as organizational structures, incentive plans, and team building alternatives have been incorporated into the model knowledge base. The GPM allows management to test different combinations of project execution options and predict expected cost, schedule, and other performance impacts. The methodology provides a systematic and structured process for a project team discussion on relevant planning issues in a project. Researchers should benefit from exploratory and analysis capabilities of the methodology, as well as flexible knowledge structure to update models and data. Computer implementation is also attractive as a mean of disseminating research results.

Item Type: Thesis (Doctoral)
Thesis advisor: Ashley, D B
Uncontrolled Keywords: project team; problem solving; bias; organizational structure; project performance
Index terms: team building, project performance, knowledge acquisition, modelling, interaction, implementation, prevention, project team, option, knowledge base, mathematical model, organizational structure, strategy, bias, methodology, problem solving, incentive plan, impact analysis
Subjects: student development, information systems, behavioral psychology, decision analysis, sociology, probability and distributions, financial risk, project management theory and practice, management, decision-making and reasoning, research methods, contractual arrangements, data analysis and analytics, project delivery, analytical methods, mathematical modelling
Topics: Organizational Design, Education, Digital Applications, Human Resources, Risk Management, Procurement, Cost Management, Business Strategy, Project Management, Research Practice, Engineering Principles
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here