ASPIRE Automation solutions for production deviation management

Purpose and goal

The purpose was to support handling and access to deviation-related information, and thereby making the management of deviation handling more efficient and effective. The project conducted an initial study and followed five case companies. In many Swedish manufacturing companies, a fundamental need, is to be better at collecting and utilizing deviation information. Therefore, the goal was set to the development of a methodology that would support manufacturing companies in their gradual progress to data-driven deviation handling, from perhaps a situation of no data at all.

Expected results and effects

The project developed a conceptual methodology helping companies to manage deviations efficiently, towards data-driven deviations handling. The main parts are: a manual deviation logging; workshops for planning and follow-up; a way of working with improvement loops for the production performance and for the data-driven work; and a solution toolbox. Furthermore, concepts for low-cost data-collection were also formed within the project. Expected impact is facts-based decisions, better performance, leading to increased competitiveness, sustainability, and automation.

Planned approach and implementation

The methodology has been iteratively and gradually improved based on research work and case studies that contributed to forming the results. Focus and conditions of each case differed, with activities including manual logging, new data logging solutions, simulation, and coaching. The methodology was discussed at project meetings, hosted by most of the partners. Research plans and interaction with companies were affected by the pandemic. As an important part of the project, dissemination have been conducted using both academic and industrial open forum.

External links

Automationslösningar för hantering av produktionsavvikelser (ASPIRE)