June 5, 2017: Invited Speaker Seminar: Advanced Quality & Maintenance Policies for Manufacturing Process Improvement: Theory & Practical Applications

Ms. Farnoosh Naderkhani, Ph.D. Candidate
University of Toronto

Monday, June 5, 2017 at 11:15 am
Room EV011.119

Abstract

As competition is increasing in all manufacturing and industrial sectors, researchers/engineers and production managers are trying to develop, design, and implement novel and innovative policies to further improve efficiency of manufacturing processes. In order to achieve this goal, a company has to invest tremendous effort in both quality and maintenance domains to insure that the industrial processes move smoothly during the production run and operate at their full potentials with highest reliability and minimum waste.  However, technical systems in production/manufacturing industries deteriorate and fail as the result of usage and age which can lead to a variety of severe consequences from destruction of infrastructures to endangering human lives. The first part of this talk is devoted to recent advancements in design and development of Bayesian control charts in both quality control and condition-based maintenance (CBM) domains. In particular and motivated by recent quest for lean technological solutions to substantially reduce the overall manufacturing cost, I present a novel Bayesian control chart with a dual sampling scheme and dual control limits to find the optimal control policy in order to minimize the long-run expected average cost per unit time. The second part of the talk highlights innovative solutions which are developed during last five years of my study for practical application of maintenance and process improvement policies in Canadian industries to increase efficiency of their manufacturing operations. In particular, I will briefly outline my recent industrial-based collaborative research projects with Bombardier Aerospace Inc. and Ministry of Transportation Ontario (MTO) on development of total productive maintenance, improving efficiency of operations in pre-flight process, manpower scheduling for minimization cycle time in the final assembly line, and development of predictive solutions for modeling highway accidents in winter. I will conclude the talk by summarizing opportunities and future research directions in developing advanced quality and maintenance control policies.

Biography

Farnoosh Naderkhani is currently a Ph.D. candidate at Mechanical and Industrial Engineering (MIE) department at University of Toronto working under supervision of Prof. Villiam Makis. She is defending her Ph.D. dissertation on June 30^th, 2017. She is a recipient of prestigious NSERC PDF award and will join H. Milton Stewart School of Industrial & Systems Engineering at Georgia Institute of Technology (Georgia Tech) as a postdoctoral fellow right after her Ph.D. defence. Her research focus is on Quality Control; Condition-based Maintenance; Stochastic Modelling; Reliability Analysis; Quality Assurance, and; Optimal Control of Partially Observable Systems. Her research contributions have been published in top International Journals and Conferences of high calibre including International Journal of Production Economics (IJPE); International Journal of Quality in Maintenance Engineering (IJQME); International Journal of Advanced Manufacturing Technology (IJAMT); Journal of Operation Research Society (JORS); Transportation Research Part A: Policy and Practice, and; Institute of Industrial Engineering (IIE) Proceedings. Farnoosh has received several other distinguishing awards including Ontario Centres of Excellence (OCE) award; two Queen Elizabeth II Graduate Scholarships; Ontario Graduate Scholarship (OGS); two MITACS Accelerate awards, and; one NSERC ENGAGE Grant. She has been involved in different collaborative research projects with distinguished Canadian organizations and industries including Ministry of Transportation Ontario (MTO) from Sep. 2011 to Sep. 2012, and with Bombardier Aerospace Inc. from Sep. 2013 to June 2016.