AI-ML for supply chain management - ON-788

Project type: Innovation
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Mathematics, Operations research
Company: IPEX Canada
Project Length: 6 months to 1 year
Preferred start date: As soon as possible.
Language requirement: English
Location(s): ON, Canada; Canada
No. of positions: 2 - 3
Desired education level: PhD
Open to applicants registered at an institution outside of Canada: Yes

About the company: 

IPEX Canada is part of a global company - Aliaxis Group - which operates in over 40 countries. IPEX Canada is a leader in thermoplastic piping systems, the IPEX companies design and manufacture the largest, most recognized and diverse range of integrated piping products – Everything professionals need to manage the full spectrum of today’s municipal, industrial, commercial and residential challenges. IPEX companies offer a comprehensive range of thermoplastic materials, products and accessories for a wide spectrum of demanding markets and applications. From systems that convey water, chemicals and gases, to conduit that carries power and data cabling. In resin materials from PVC and ABS to PVDF and PE. From solvent cements and cutting tools to electrofusion systems.

Describe the project.: 

We are building AL-ML models to improve our supply chain operations. These models are aimed at building use-cases to drive better service to our customers. We are focused on developing data masking algorithms to drive better forecast. This will be an industry setting practice in our industry and will establish new unconventional ways of working. The models will utilize AI-ML software technologies. Currently the models are static and managed through a series of inputs received through various discussions in business meetings. We will innovate the methodology of managing these inputs with ML based algorithms.

Required expertise/skills: 

PhD candidates in the field of Datascience / AI who should be well aware of machine learning methods, technologies, and programming languages. In addition, understanding of Supply Chain forecasting will be essential either through collaboration with Operations Research / Statistics professors or own experience in this business area. We are open to getting access to the PhD candidate school’s software environments for developing this model and then transferring the model to us once the work is completed.