Modelling the oil producers-Capturaing oil industry knowledge in a behavioural simulation model

Modelling the oil producers-Capturaing oil industry knowledge in a behavioural simulation model

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Article ID: iaor1996526
Country: Netherlands
Volume: 59
Issue: 1
Start Page Number: 102
End Page Number: 122
Publication Date: May 1992
Journal: European Journal of Operational Research
Authors: ,
Keywords: artificial intelligence: expert systems, behaviour
Abstract:

A group of senior managers and planners from a major oil company met to discuss the changing structure of the oil industry and with the purpose of improving group understanding of oil market behaviour for use in global scenarios. This broad ranging discussion led to a system dynamics simulation model of the oil producers. The model produced new insights into the power and stability of OPEC (the major oil producers’ organization), the dynamics of oil prices, and the investment opportunities of non-OPEC producers. The paper traces the model development process, starting from group discussions and leading to working simulation models. Particular attention is paid to the methods used to capture team knowledge and to ensure that the computer models reflected opinions and ideas from the meetings. The paper describes how flip-chart diagrams were used to collect ideas about the logic of the principal producers’ production decisions. A sub-group of the project team developed and tested an algebraic model. The paper shows partial model simulations used to build confidence and a sense of ownership in the algebraic formulations. Further simulations show how the full model can stimulate thinking about producers’ behaviour and oil prices. The paper concludes with comments on the model building process.

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