Scheduling Crash Tests at Ford Motor Company

Daniel Reich (), Yuhui Shi (), Marina Epelman (), Amy Cohn (), Ellen Barnes (), Kirk Arthurs () and Erica Klampfl ()
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Daniel Reich: Research and Advanced Engineering, Ford Motor Company, Dearborn, Michigan 48124
Yuhui Shi: Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Marina Epelman: Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Amy Cohn: Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109
Ellen Barnes: Product Development Safety, Ford Motor Company, Dearborn, Michigan 48124
Kirk Arthurs: Product Development Safety, Ford Motor Company, Dearborn, Michigan 48124
Erica Klampfl: Research and Advanced Engineering, Ford Motor Company, Dearborn, Michigan 48124

Interfaces, 2016, vol. 46, issue 5, 409-423

Abstract: We consider the problem of scheduling crash tests for new vehicle programs at Ford. We describe the development of a comprehensive web-based system that automates time-consuming scheduling analyses through mathematical optimization, while also institutionalizing expert knowledge about the engineering complexities of crash testing. We present a novel integer programming model and a corresponding solution algorithm that quickly generates efficient schedules. The system’s user interface enables engineers to specify key program data and consider multiple scheduling scenarios, while using the underlying optimization model and solution algorithms as a black box.

Keywords: automotive; scheduling; decision support system; integer programming (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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