Affiliation:
1. Stanford University
2. General Motors Corporation
Abstract
This paper describes a method to identify and to evaluate the risks associated with task transfer in a globally distributed engineering environment. Enterprises realize the importance of global worksharing to include diverse customer values into product, but this paradigm also introduces challenges in product development. Industry-wide interviews reveal workshare risks are at two levels: system and component. This paper presents a three-step risk analysis to 1.) characterize product development work tasks, 2.) define Distributed Component Development Risk based on historical rework data, and 3.) evaluate workshare scenarios for the task transfer plan. Three interior vehicle components illustrate the steps of the risk analysis, and the findings indicate most rework happens at the system-level design stage while the discovery of these errors occurs during validation and manufacturing. As a result, the transfer of these tasks leads to high likelihood of rework. Currently, this method is applying in actual global automotive programs for validations.
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