VP 3.1 AgilPlanBZ

Agile factory planning in the highly dynamic market and development environment of fuel cell production

Motivation: Emission-free transport technologies are causing far-reaching changes in the automotive and supplier industry. Companies are faced with a highly volatile market and development environment with very complex and ambiguous issues as well as uncertain and imprecise forecasts. Inadequate planning therefore represents a particularly great risk. Existing approaches and tools for factory planning usually support one-off or long-cycle system design tasks and require reliable development forecasts and precise technology knowledge. Planning projects to set up production systems in the field of battery and fuel cell-based electromobility are in clear contrast to this. Since input information for this Systems is constantly changing and there is no long-term experience for the technologies used, they require methods that can be used in short cycles and that can operate on a vage database. This volatility and uncertainty can also be countered with a flexibly designed and highly dynamically adaptable technological alignment of the products, the delivery and production networks and the company's own production.

In the project, agile project management methods are to be used to develop a proactive factory planning procedure that enables short-cycle planning of production systems and processes with high volatility and uncertainty in the input conditions and which can be scaled to a large extent.

As with any other planning and management task, there are economic, social and ecological sustainability aspects to be address during factory planning as well. Therefor the tasks of the chair of Management Accounting and Control within the scope of this project is to deliver instruments for assessing and managing sustainability aspects of different alternatives for fuel cell production systems. As a result of the early phase of the market and the underlying technology, corresponding assessment/management tools must be able to deal with uncertainty as well as risks.

Objectives:

Development of a system for digital modeling and system design in agile processes, based on the approach of the digital twin
Development of a planning-integrated evaluation method for maturity, risk, flexibility, sustainability and versatility of production systems
Design of a software prototype to support agile factory planning processes

Funding and project management

ESF-EFRE Technologieförderung, SAB Sächsische Aufbaubank

Partner:

Fuel Cell Powertrain GmbH, Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik, Hörmann Rawema Engineering & Consulting GmbH, SimPlan AG, Technische Universität Chemnitz

Diese Maßnahme wird mitfinanziert durch Steuermittel auf Grundlage des von den Abgeordneten des Sächsischen Landtags beschlossenen Haushaltes.