Mills Cameron MacKenzie Assistant Professor July 20, 2017 Resume - - PowerPoint PPT Presentation

Department of Industrial and Manufacturing Systems Engineering

Lunch and Learn with General Mills

Cameron MacKenzie Assistant Professor July 20, 2017

Industrial and Manufacturing Systems Engineering

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

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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

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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

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Industrial and Manufacturing Systems Engineering

Objectives hierarchy: What do you care about?

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Maximize supplier effectiveness Max reliability Max responsiveness Max agility Max asset management

On-time deliveries On-quantity deliveries Perfect condition Documentation accuracy Capability compatibility Order fulfillment SCAR resolution time Upside adaptability Upside flexibility Downside adaptability Cash-to- cash cycle time Return on supply chain fixed assets

Industrial and Manufacturing Systems Engineering

Cost-Effectiveness Analysis

Supplier effectiveness

0.00 0.10 0.20 0.30 0.40 0.50 0.60 0.70 Supplier 1 Supplier 2 Supplier 3 Supplier 4 Supplier 5 Supplier 6 Supplier 7 Supplier 8 Reliability Responsiveness Agility Asset Management Efficiency

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Industrial and Manufacturing Systems Engineering

Cost-Effectiveness Analysis

Cost-effectiveness analysis

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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

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Industrial and Manufacturing Systems Engineering

Dole’s production of spinach

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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

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Industrial and Manufacturing Systems Engineering

Supply chain disruption and resilience

How much to produce? Maximize profit in current period Satisfy demand Value Time when suppliers’ facilities reopen Customer loyalty Inventory

• n hand

Selling price Cost of alternate suppliers

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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

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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?

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camacken@iastate.edu