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ISO 9000 & AUDITS WORLD CONFERENCE ABSTRACT 

Decision Theory - Improving Consequences

Presenter:

David Auda, Senior Reliability/ Systems Engineer, Volvo, Greensboro, NC, USA

Keywords:

Decision, Process, Thinking, Consequences

Industry:

Automotive

Level:

Intermediate

Risk, probability, likelihood, chance and uncertainty are some common terms found in the language of the Quality practitioner. Things like choice, judgment, belief, opinion and decision are often implicit in the practice of Quality. These implicit processes are actually what drive the step-wise procession through such things as a project, an experiment, an audit, a causal investigation, a preventive risk assessment and life in general. Improved visibility and consideration of these various processes can improve their effectiveness which then brings a more favorable result.

Individual who are leading efforts, especially those who are facilitating groups in pursuit of things like process audit(s), risk assessment(s), continuous improvement, etc. will benefit from learning more about their personal decision making modality. This increase in awareness in one’s own decision making also brings into consideration the decision making styles of others. These ‘others’ can be managers, directors, subordinates, peers, customers, etc. and of course invariably includes people like significant others, associates, children, parents, acquaintances, etc.

This workshop includes an Introduction to formal decision theory, insights into our neurobiology and an assessment of our personal heuristics and biases that will give new insights into the way one can improve upon decision making and as a natural consequence, improve upon the results delivered by those decisions.

Speaker
Information

PowerPoint submission deadline: 

January 31, 2020

Deadline for hotel reservation:

February 24, 2020

Speakers’ Orientation Meeting:
Sunday, March 22, 2020
6 PM-7 PM

Please click the link below to download the Speaker Instructions


Government Organizations




Corporations

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(*) based on previous conference attendance





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