Humans can't handle that many conflicting requirements and trade-offs. Shallow forecasting models that consider one angle at a time can't either. A reinforcement learning decision model built ontop of a simulation environment that optimizes directly for your set of KPIs, weighted according to your own priorities that quarter is the only solution to this problem. We think sustainability ought to be one of these highly weighted KPIs for most use-cases. A few high impact ones are highlighted below.
Optimize for Sustainability as one of your top level business KPIs, along with BoM, inventory, time-to-market etc. Our decision models would take the Reward function to be a weighted formula of multiple KPIs amongst which sustainbility is a highly weighted term. A decision model for purchase order allocation would thus recommend actions that optimize for that entire formula with sustainabilty being a key factor.
Supplier Sustainability Scoring Model
Allocate POs amongst suppliers to minimize Sustainability Risks
Logistics has an outsized impact on sustainability as it happens at two or more stages in the manufacturing and construction supply chains. It happens early on while importing raw materials into the production facilities, and then again at the end when the product is shipped out to its final destination. Returns and maintenance invoke even more shipping transactions.
Decision model allocates shipping orders amongst carriers to minimize carbon footprint
Model forecasts a carrier's Risk Score taking into account On-time, Damage-rate, and Sustainability
Model decides to flag a carrier for an audit
Manufacturing is a high environmental impact activity, and luckily it's one of the areas where you have more control over sustainability in your operational proceses and plant personnel practices.
Decision model decides on replacing a material with a more eco-friendly material.
Decision model decides to allocate build orders amongst competing plants or CMs (contract manufacturers) to optimize weighted business KPIs, including sustainability.
Model predicts overall sustainability score for the final product.
Move faster and save time by always having relevant, real-time intelligence for decision making.
Deep learning continuously improves over time and dynamically adapts to your growing business.
AI automates processes and analytics enabling you to focus on customer satisfaction.