Industry requires intelligent systems that turn raw data into useful information for optimization of operations. Besides ERP, SCM or MES, Advanced Planning & Scheduling (APS) is the key to KPI better real- time decisions and improvements as it brings intelligence on top of the ERP. APS is an area with high potential and APS usage is growing at about 7% CAGR worldwide. The concept of the MARINA project proposal is to “use AI to ﬁne tune the AI”. I.e. to build an AI and ML layer on top of an existing multi-solvers and multi-heuristics APS optimization system in order to automatically ﬁnd optimal heuristics parameters and to self-learn from historical data how to adapt to changing datasets and constraints.
Having reached the project results of an enhanced ORITAMES APS improves the market position of ORITAMES. Already a very completive package compared to SOTA, the AI brings better optimization, more manufacturing KPIs improvements and thus better ROI for MangoGem’s customers.
In a recent study, McKinsey estimates the disruptive impact of AI applications in the supply chains and the economic value creation potential of AI for “supply chain” (meaning ERP, SCM, APS, ... applications) at around 1.4 trillion USD for the next 20 years!