Supply Chain Applications

Gary Cokins

Analytics-Based Performance Management LLC
Moderator

Panel Discussion – Innovation and Emerging Concepts in Supply Chain Analytics

Bio

Gary Cokins (Cornell University BS IE/OR, 1971; Northwestern University Kellogg MBA 1974) is an internationally recognized expert, speaker, and author in enterprise and corporate performance management (EPM/CPM) and management accounting systems. He is the founder of Analytics-Based Performance Management LLC, an advisory firm located in Cary, North Carolina at www.garycokins.com .  He began his career in industry with a Fortune 100 company in CFO and supply chain management roles. The middle of his career was in consulting with Deloitte, KPMG, and EDS (now part of HP), and SAS. He is APICS certified and was on the original Supply Chain Council SCOR committee.  His two most recent books are Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics and Predictive Business Analytics. He is a co-author of The Handbook of Supply Chain Costing published by the www.cscmp.org . Mr. Cokins can be contacted at gcokins@garycokins.com.

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Stephen DeAngelis

Enterra Solutions, LLC
Panelist

Panel Discussion – Innovation and Emerging Concepts in Supply Chain Analytics

Bio
Stephen is an advanced technology and computational sciences entrepreneur and patent holder with over 25 years of experience. Enterra Solutions is a Cognitive Computing firm focused on next-generation big data-enabled Predictive Analytics and Insights for companies in the Consumer Products & Retail, Health Care, Life Sciences, Chemical and National Security Sectors. In 2006, he was recognized as a top innovator in Esquire magazine’s “Best and Brightest” yearly review and, in 2012, was recognized by Forbes as one of the “Top Influencers in Big Data.” In 2014, he became a contributing member of Wired magazine’s Innovation Insights blog. He is also the Founder and Chairman of The Project for STEM Competitiveness, a non-profit organization that encourages STEM education in primary schools. Stephen will discuss why cognitive computing will change the business landscape and why Accenture has called it the “ultimate solution” for many of the challenges currently facing companies.

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Andrew Henry

Ford Motor Company

A Smarter Scheduling System for a Smarter Truck

In 2014 Ford Motor Company announced the release of the smartest F-150 to date.  To accompany the launch of the 2015 F-150, a team made up of IT, Research, Material Planning and Logistics, and Marketing Sales and Service developed and implemented an improved multi-plant scheduling approach to minimize transportation costs.  With the F-Series being the best-selling pickup in the US, reducing transportation costs can translate into significant business value.  Andrew and Yu-Ning will discuss their work to improve multi-plant scheduling, and how Ford leverages analytics to get the right car, to the right place, at the right time while minimizing cost.  They will share lessons learned around rolling out analytic projects that deliver significant business value without requiring a full supply chain and business process overhaul while touching on the Research – Application Development partnership that has been key to successfully launching impactful analytic projects.

Bio

Andrew Henry is an Optimization Specialist at Ford Motor Company. His work focuses on developing optimization models to support a Global Order to Delivery system. Projects include optimized order recommendations to reduce vehicle days on lot, long term part forecasting to support global capacity planning and plant assignment optimization to reduce transportation cost for multi-source vehicles. Andrew is completing his PhD in Operations Research at Virginia Tech with a focus on integrated process planning and scheduling for complex job shop environments. Prior to joining Ford, Andrew worked with Eastman Chemical Company applying operations research and math modeling to develop a global safety stock strategy and improve inventory pegging. Andrew’s interests and publication history includes work on condition based maintenance planning, the use of revenue sharing in supply chains and large data analytics in healthcare.

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Mike Hsieh

Google

Managing Spare Parts Inventory for Mission Critical Operations

Planning spare parts to assure up time of Google’s mission critical fiber optic wide area network poses significant challenges: in-production hardware is widely dispersed, failure-induced demand is very low, location-specific service goals combine inventory availability and delivery time, replacement can come from any nearby warehouse that has parts available. Because traditional approaches fail to address these issues, we developed and deployed new models and algorithms.  We will describe our approach and experience, including lessons learned from implementation and impact.

Bio

Mike Hsieh is the Supply Chain Manager for the Network Operations organization at Google in Mountain View, CA.  For the past 5 years, he has led the process development and end-to-end management of all material requirements supporting Google’s global network.  Prior to Google, he worked at Cisco Systems in San Jose, CA for almost 10 years in various roles across Manufacturing Process Engineering, Manufacturing Operations, Global Logistics, as well as Program Management for the Cisco Lean implementation.  He also developed and led the Cisco Global Hub Initiative, implementing component VMI Hubs supporting all of Cisco’s contract manufacturing partner locations.  He earned his BS from UC Berkeley in 2000 and his MS from Stanford University in 2003.

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Kaan Katircioglu

Google

Managing Spare Parts Inventory for Mission Critical Operations

Planning spare parts to assure up time of Google’s mission critical fiber optic wide area network poses significant challenges: in-production hardware is widely dispersed, failure-induced demand is very low, location-specific service goals combine inventory availability and delivery time, replacement can come from any nearby warehouse that has parts available. Because traditional approaches fail to address these issues, we developed and deployed new models and algorithms.  We will describe our approach and experience, including lessons learned from implementation and impact.

Bio

Dr. Kaan Katircioglu is a senior quantitative analyst at Google, Mountain View, California. Prior to Google he worked at IBM’s Watson Research Center for 18 years as a manager, research scientist and consultant where he conducted over 40 projects covering various industries. In 2012, he was selected to IBM Academy of Technology, a think-tank organization. He managed the development of a supply chain  decision support solution that helped McKesson Corporation reduce its working capital by $1 billion. The project was a finalist at INFORMS 2013 Edelman Prize competition. His research areas include business analytics, big data, supply chain optimization and IT service management. He has over 30 scientific publications, book chapters and over 20 patents. He appeared as an invited speaker and panelist in many business and academic events. He earned his Ph.D. degree in 1996 at The University of British Columbia.

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Takuya Kudo

Accenture

Lost Decades – Lessons Learned from Supply Chain Optimization in Japan

Optimizing a company’s supply chain has become a greater challenge over the past couple decades. Specifically, the proliferation of new technologies from the demand side, such as the surge of Internet and mobile devices, attribute to the rising complexity that lies behind the optimization process. Since customers are able to make purchases at any place and any time, these innovations in supply chain optimization require a strategic network planning between distribution centers, stores, and customers based on machine learning rather than intuition.

This talk will discuss the Accenture Fulfillment Service (AFS), a cloud analytics solution that ensures companies gain a competitive advantage through their supply chain management. In particular, AFS provides businesses with the optimal inventory level based on an automatic safety stock adjusting logic along with highly accurate outlier detection logic, enabling quick yet holistic reactions to the day-to-day variations in customers’ demand.

Bio

A former director of statistical analysis at the New York City Department of Education, Takuya Kudo is currently the managing director of Accenture Analytics in both Seattle and Tokyo while being responsible for the entire Japanese practice. As one of the well-recognized data scientists, he is a contributor to Diamond Online and Harvard Business Review Japan, has published several books, and frequently appears on TVs, magazines, newspapers, and etc. His specialty is innovation with an expertise in multivariate analysis, machine learning, and deep learning space.

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Yu-Ning Liu

Ford Motor Company

A Smarter Scheduling System for a Smarter Truck

In 2014 Ford Motor Company announced the release of the smartest F-150 to date.  To accompany the launch of the 2015 F-150, a team made up of IT, Research, Material Planning and Logistics, and Marketing Sales and Service developed and implemented an improved multi-plant scheduling approach to minimize transportation costs.  With the F-Series being the best-selling pickup in the US, reducing transportation costs can translate into significant business value.  Andrew and Yu-Ning will discuss their work to improve multi-plant scheduling, and how Ford leverages analytics to get the right car, to the right place, at the right time while minimizing cost.  They will share lessons learned around rolling out analytic projects that deliver significant business value without requiring a full supply chain and business process overhaul while touching on the Research – Application Development partnership that has been key to successfully launching impactful analytic projects.

Bio

Dr. Yu-Ning Liu is a Technical Expert working at the System Analytics and Environmental Science department of Ford Research and Advanced Engineering. Yu-Ning started his career at Ford in the area of Advanced Manufacturing and migrated to analytics research in 2006. Yu-Ning was a key developer on a number of advanced analytics systems at Ford targeting at improving business efficiency and maximizing profits. His current areas of interest include Mathematical Programming, Business Forecasting, Predictive Analytics, Machine Learning, and Decision Making Algorithms. Dr. Liu earned his MS and PhD degrees in Mechanical Engineering as well as an MBA from the University of Michigan in Ann Arbor.

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Greg Parlier

SAIC & IDA
Panelist

Panel Discussion – Innovation and Emerging Concepts in Supply Chain Analytics

Bio

Colonel Greg H. Parlier, U.S. Army, retired, is a graduate of the United States Military Academy at West Point, where he was commissioned a Second Lieutenant of Air Defense Artillery in 1974. He began his 30-year career as a section leader in an airborne infantry battalion and retired as the senior, most experienced operations research (OR) officer on active duty in the Army. His assignments included eight years with the 82d Airborne Division, including five operational deployments. He was stationed overseas in the Far East, Europe, and Southwest Asia where units he led and served with performed missions and conducted training in more than 20 foreign countries.

His OR assignments included Chief, Officer Plans in MILPERCEN; Chief, Resource Plans and Analysis Division which he formed to support the first Quadrennial Defense Review in the Office of the Chief of Staff, HQDA; Director, Program Analysis and Evaluation, US Army Recruiting Command; and Deputy Commander for Transformation, US Army Aviation and Missile Command. He also served on the faculty at West Point as an engineering management instructor, assistant professor of operations research, and associate professor of systems engineering.

A graduate of the Marine Corps Command and Staff College and Army War College, his civilian education includes graduate degrees in Operations Research, National Security Studies, and Systems Engineering. He was a National Defense Fellow at MIT, among the first to complete their executive education program in Management, Innovation, and Technology, and holds a certificate in political philosophy from Oxford.

Since retiring from the Army, Dr. Parlier has been a university research scientist, defense analyst for a major aerospace defense firm, vice president for a new small business specializing in engineering and analysis, and independent consultant to the public and private sectors. He has continuously served on the research staff at the Institute for Defense Analyses where he has been an advisor to foreign governments, and senior OR analyst supporting US Forces in Iraq. He has been elected or appointed to several professional society positions at the local, regional, national, and international levels, and is past president of the Military Applications Society of the Institute for Operations Research and the Management Sciences.

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Anne G. Robinson

Verizon Wireless
Panelist

Panel Discussion – Innovation and Emerging Concepts in Supply Chain Analytics

Bio

Anne G. Robinson is the Director of Supply Chain Strategy and Analytics for Verizon Wireless. Her team is responsible for leading strategic efforts across the Supply Chain organization, leveraging advanced analytics to implement processes and procedures that lead to improved product life cycle management, more efficient network equipment utilization, working capital optimization, and cost reduction. Prior to joining Verizon Wireless, Robinson spent several years with Cisco Systems where her responsibilities included managing advanced analytics, business intelligence, and performance management teams across the supply chain. She and her team were also responsible for evaluating and improving the distribution inventory network as well as establishing a statistical forecasting capability for predicting demand. As the driving force for many foundational and cross-functional process innovations, she helped establish Cisco’s presence and recognition as a leader in business intelligence and analytics, including being inducted into the balanced scorecard hall of fame. A PhD in Industrial Engineering from Stanford University, Anne is the President of INFORMS. She is a popular industry speaker, has served on several advisory boards including the SAS Analytical Customer Advisory Board and was a topical editor for the Encyclopedia of Operations Research and Management Science. A frequent tweeter, you can follow Dr. Robinson @agrobins.

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Rajiv Saxena

APL Logistics

Supply Chain Analytics in Action – A Practioner’s Experiences

Supply chain has become a key focus area for most companies as they are increasingly figuring out that an efficient and effective supply chain provides a competitive advantage in the marketplace.  There is a major potential to cut logistics costs in the supply chain of a company through application of data analytics and optimization techniques. Different companies are looking towards their logistics providers to help them in successfully dealing with their supply chain efficiency and effectiveness related issues.  APL Logistics is a global Third Party Logistics company and provides end-to-end, integrated supply chain solutions and services to its customers. This presentation will cover real-life data analytics and optimization case studies covering areas of network design, transportation optimization and facilities design and how they help a company significantly improve the efficiency and effectiveness of its supply chain.

Bio

Rajiv Saxena, Head, Supply Chain Solutions, at APL Logistics (APLL), Scottsdale, AZ, is responsible for supply chain engineering, global trade compliance and IT solutions areas.  He has over 25 years of cumulative industry experience in Supply Chain Analytics and Solutions Design, Supply Chain Sustainability, Industrial Engineering, Management Consulting, and Systems Development. Before APLL, he worked with Menlo Worldwide Logistics, CEVA Logistics, S. B. Billimoria & Company, India; and General Electric Company, India. He is a regular speaker at INFORMS, CSCMP and IIE conferences as well as at several leading academic institutes. He has extensively published on different logistics and supply chain topics in several magazines.  He has a PhD in Operations Management from Simon School of Business, University of Rochester, a Post Graduate Diploma in Industrial Engineering from National Institute of Training in Industrial Engineering, Mumbai, and a Bachelor of Engineering Degree in Electrical Engineering from Indian Institute of Technology.

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