2nd Use Case
Overview
Automotive seat manufacturing is a complex process that brings together multiple production lines, such as foam, leather, and seat structures, often spread across different locations. Final assembly usually happens elsewhere, which makes coordination across the supply chain essential. In practice, this involves a mix of systems (ERP, MRP, JIT) from different vendors that don’t always work seamlessly together.
Challenges & Objectives
This fragmented setup makes planning difficult. Supply chain decisions are often made with limited visibility, and disruptions can quickly create delays or inefficiencies. In many cases, production is more reactive than planned. The aim here is to improve how the entire supply chain is monitored, coordinated, and optimized, so decisions can be made with more confidence and less guesswork.
Technical Approach
The use case introduces a more flexible, service-based approach to supply chain planning. Instead of relying on rigid, monolithic systems, it combines different planning functions, such as production, transport, and container management, into interconnected services. With the support of real-time data, AI predictions, and digital twins, stakeholders can better understand what’s happening across the supply chain and respond more effectively to changes.
Expected Impact
The UniMaaS platform enables real-time monitoring and smoother collaboration between all actors in the supply chain. It supports better planning of materials, transport, and reusable containers, while also improving visibility across processes. By tracking components and packaging through Digital Product Passports (DPP) and using predictive models, the solution helps reduce waste, optimize transport, and support more sustainable production practices.
Indicative KPIs
UniMaaS delivers Automotive Seat Manufacturing as a Service, streamlining the entire supply chain by reducing waste and emissions, cutting transport costs, and improving logistics efficiency. It increases productivity, eases repetitive work to lower employee burnout, optimizes inventory, and ensures higher service levels. By enabling smarter, circular, and regionally responsible sourcing, combines efficiency, sustainability, and social impact in a single, flexible platform.
Partners
ADIENT
Queens University of Belfast
(QUB)
Universitat Politecnica De Valencia
(UPV)
