Advanced analytics delivering optimization and “what-if” analysis across the Value Chain (focusing on Supply Chain and Factory Operations)- ON-315

Desired discipline(s): Computer science, Mathematical Sciences, Mathematics, Statistics / Actuarial sciences
Company: Anonymous
Project Length: 6 months to 1 year
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Toronto, ON, Canada
No. of positions: 1
Preferred institutions: OCAD University, Ontario Tech University, Ryerson University, University of Toronto, York University

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About the company: 

The partner company is a multinational food and drink processing conglomerate corporation.

The Canadian arm of the company employs 3,000+ people in more than 18 manufacturing, sales and distribution sites across Canada, with their head office located in Toronto.

Please describe the project.: 

Create a simulation and scenario planning solution to facilitate Demand Optimization during COVID 19 Pandemic. This will enable maximum on shelf availability for our consumers.

  • Demand Optimization
  • Inventory and Supply Optimization (including constraint planning and scheduling, sourcing location changes, etc.)
    • Synchronise supply with demand
    • Optimise distribution and deployment cost to serve customers
    • Optimise transportation loads
    • Simulate warehouse storage capacity to mitigate overflow cost

 

  • Simulate and optimise factory production capacity to benefit Total Delivered Cost and customer service levels.

 

Some of the intended outcomes of this project will be:

  • To boost Service levels, shorten cycle times, reduce inventory investment and minimise waste
  • Acquire the ability to measure trade-off of inventory investment and desired customer services levels
  • Acquire the ability to optimize complex sourcing and production scenarios to balance demand, manufacturing and distribution constraints
  • Solution must integrate with SAP Data and be an Azure cloud-based solution.

 

Required expertise/skills: 

Data Science and Data Engineering Skills