MANUFACTURING AS A SERVICE TO INCREASE RESILIENCE IN VALUE NETWORKS

MAASiveTraditional value chains are facing challenges due to the fast-moving markets, customer demands, and unpredictable manufacturing and logistics.

To address these challenges, Manufacturing as a Service (MaaS) is introduced as a concept that utilizes existing resources in a value network by connecting manufacturers to service providers on demand through a connected network.

The MAASive project aims to develop models of value networks that enable companies to recover from unforeseen external events by connecting to new services and reconfiguring value networks utilizing internal and external manufacturing services.

MAASive will provide a toolkit for industry, which will consist of a blend of existing methods and technology applied in the MaaS context, and new models and technology developed as part of the project.

Four distinct aspects are addressed in the MAASive project to increase resilience in value networks: network building, impact assessment, reorchestration of networks, and value network operation.

The overall aim of MAASive is to increase value network resilience by enabling manufacturers to rapidly respond to unforeseen external events or sudden changes in supply or demand, utilizing manufacturing as a service.MAASive uses an iterative approach to develop technical solutions and identify potential technology risks early on.

The project is focused on creating a toolkit from a human-centered perspective and involving professionals and workers in requirement and scenario definition.

The iterative approach follows three loops focusing on 1) model foundations, 2) impact simulation and scenarios, and 3) network orchestration and operation.

The results of MAASive will be developed in two use case demonstrators.The results of MAASive will contribute to companies being more resilient towards external, unforeseen events, by being able to utilize services in a value network better and faster, while also increasing utilization of network resources.