Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs

_If you are interested in articles related to Data Science for Supply Chain feel free to have a look at my portfolio: _https://samirsaci.com

Supply chain optimization makes the best use of data analytics to find an optimal combination of factories and distribution centres to match supply and demand.

Because of the current surge in shipping costs, companies start to challenge their current footprint to adapt to the post-covid “New Normal”.

In this article, we will present a simple methodology using Linear Programming for Supply Chain Optimization considering

  • Fixed production costs of your facilities ($/Month)
  • Variable production costs per unit produced** ($/Unit)**
  • Shipping costs** ($)**
  • Customer’s demand** (Units)**

Should we keep outsourcing with shipping costs that have tripled in the last 12 months?

#manufacturing #supply-chain #optimization #python #transportation

Supply Chain Optimization with Python
2.25 GEEK