Department of Industrial and Manufacturing Systems Engineering Lunch and Learn with General Mills Cameron MacKenzie Assistant Professor July 20, 2017
Resume • Assistant Professor, Industrial and Manufacturing Systems Engineering, 2015 – present • Assistant Professor, Defense Resources Management Institute, 2012 – present PhD in Industrial Engineering, • 2012 MS in Management Science • and Engineering, 2009 Senior Associate, The Cohen • Group, 2003 – 2006 2 Industrial and Manufacturing Systems Engineering
Research focus • Decision and risk analysis • Relevant topics to General Mills • Supplier selection • Contamination in agriculture supply chains • Supply chain disruptions and resilience 3 Industrial and Manufacturing Systems Engineering
Supplier selection STEP 1: Form objectives hierarchy with KPIs derived from the SCOR metrics STEP 2: Form value functions STEP 3: Assess trade-off weights STEP 4: Develop overall measure STEP 5: Perform cost-effectiveness analysis 4 Industrial and Manufacturing Systems Engineering
Objectives hierarchy: What do you care about? Maximize supplier effectiveness Max asset Max reliability Max Max agility management responsiveness On-time deliveries Upside Order Cash-to- adaptability Capability fulfillment cash cycle compatibility Upside time SCAR flexibility On-quantity resolution time Return on deliveries Downside supply chain Perfect condition adaptability fixed assets Documentation accuracy 5 Industrial and Manufacturing Systems Engineering
Supplier effectiveness Supplier� 8 Supplier� 7 Supplier� 6 Cost-Effectiveness Analysis Supplier� 5 Supplier� 4 Supplier� 3 Supplier� 2 Supplier� 1 0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 Reliability Responsiveness Agility Asset� Management� Efficiency 6 Industrial and Manufacturing Systems Engineering
Cost-effectiveness analysis Cost-Effectiveness Analysis 7 Industrial and Manufacturing Systems Engineering
Contamination in agriculture supply chain • Previous research modeled how a fresh produce supply chain could manage contamination in the supply chain • Translate qualitative factors into a mathematical model • Traceability, product type, communication, topological structure 8 Industrial and Manufacturing Systems Engineering
Dole’s production of spinach 9 Industrial and Manufacturing Systems Engineering
Future DHS center for cross-border and supply chain threats • Proposal on livestock disease, in collaboration with ISU’s Center for Food Security and Public Health • Model systemic impacts of animal diseases on food and agricultural supply chains • Simulation of disease spread in livestock • Model consumer behavior • Assess economic and business impacts • Integrate model into a decision-making tool 10 Industrial and Manufacturing Systems Engineering
Supply chain disruption and resilience Time when suppliers’ Inventory facilities Customer on hand reopen loyalty How much to Selling produce? price Satisfy demand Cost of Maximize Value alternate profit in suppliers current period 11 Industrial and Manufacturing Systems Engineering
Supply chain resilience • Resilience: withstand, absorb, and successfully recover from a disruption to operations • Can be related to complexity of the supply chain • Investigate factors that make a supply chain resilient • Metrics for supply chain resilience • How to smartly allocate resources to increase resilience 12 Industrial and Manufacturing Systems Engineering
Questions for discussion • What concerns do you have in General Mills’ supply chain? • How does General Mills currently select and evaluate suppliers? • How does General Mills manage risk? • What type of visibility does General Mills have into its supply chain? • Do you think mathematical models can be helpful to General Mills in this area? camacken@iastate.edu 13 Industrial and Manufacturing Systems Engineering
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