Reducing Human Error in Simulation in General Motors

Topics:
Automotive
Tags:
Business Operations,
Error,
General Motors Corp.,
Human Resources,
Institute For Operations Research,
Productivity,
Recruitment & Selection,
Research & Development,
Workforce Management
Source:
Institute for Operations Research and the Management Sciences

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Overview: This paper focuses on the steps taken to minimize human error in simulation modeling in General Motors. While errors are costly and undesirable in any field, they are especially harmful in simulation which has been struggling to gain acceptance in the business world for a long time. The solution discussed in this paper can be summarized as enter the data once and use the best tool for the job.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format: PDF | Size: 268KB | Date: Oct 2003 | Pages: 5

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