Dr. Oleg Gusikhin, conference chair of VEHITS (International Conference on Vehicle Technology and Intelligent Transport Systems), wins Wagner Prize

Dr. Oleg Gusikhin, conference chair of VEHITS (International Conference on Vehicle Technology and Intelligent Transport Systems), wins Wagner Prize

Dr. Oleg Gusikhin from Ford Research & Adv. Engineering has won a Daniel H. Wagner Prize judged by CPMS, the association’s practice section, with the paper “Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain”. The authors of this paper were David Simchi-Levi, Peter Y. Zhang, Massachusetts Institute of Technology; William Schmidt, Cornell University; Yehua Wei, Duke University; Oleg Gusikhin, Don Zhang, Yao Ge, Keith Combs, and Michael Sanders, Ford Motor Company.

As conference chair of VEHITS (International Conference on Vehicle Technology and Intelligent Transport Systems) Dr. Gusikhin is deeply involved in the congregation of the international research community around these themes.

This prize was announced in November 26, 2014 by the Institute for Operations Research and the Management Sciences (INFORMS).

According to INFORMS, this study has shown an innovative approach to an important issue facing companies with a global presence: early identification of supply chain risks and a new process to respond when things go wrong.

Moreover, INFORMS has mentioned that “In a three-year research engagement with Ford Motor Company, the authors addressed this problem by developing a novel risk exposure model that assesses the impact of a disruption originating anywhere in the firm's supply chain. The approach defers the need to estimate the probability associated with any specific disruption risk until after the company learns how the realization of such a disruption will impair its operations. As a result, the company can make more informed decisions about where to focus its limited risk management resources.

The authors demonstrated to the judges how Ford applied this model to identify previously unrecognized risk exposures, evaluate pre-disruption risk mitigation actions, and develop optimal post-disruption contingency plans, including circumstances in which the duration of the disruption is unknown.

According to the authors, Ford supply risk specialists use the model routinely, for example to prioritize commodities and supplier sites that represent the highest level of exposure during potential disruptions like natural disasters.”

Dr. Oleg Gusikhin is a Technical Leader at Ford Research and Advanced Engineering. He received his Ph.D. from the St. Petersburg Institute of Informatics and Automation of the Russian Academy of Sciences, MS in Electrical Engineering from St. Petersburg State Technical University, and an MBA from the Ross Business School at the University of Michigan. For over 20 years, he has been working at Ford Motor Company in different functional areas including Information Technology, Advanced Electronics Manufacturing, and Research & Advanced Engineering. During his tenure at Ford, Dr. Gusikhin has been involved in the design and implementation of advanced information technology and intelligent controls for manufacturing and vehicle systems. Dr. Gusikhin is a recipient of two Henry Ford Technology Awards, 2009 Institute of Industrial Engineers Transactions Best Application Paper Prize in Scheduling and Logistics, and 2011 INFORMS Daniel H. Wagner Prize finalist. He is an Industry Vice-Chair of IFAC Technical Committee "Manufacturing Modeling for Management and Control,” and a Lecturer in the Industrial and Operations Engineering department at the University of Michigan.