requirements analysis

The growing demand for battery cells offers significant potential for the use of digital solutions in their manufacture, which in turn creates opportunities for added value through adaptive and flexible production systems. A key enabler is interoperable data exchange based on formalized data descriptions. Existing ontologies and information models remain too abstract for direct implementation. This paper presents a requirements analysis of data standards in battery cell manufacturing. A procedure for developing domain-specific standards based on OPC UA (Open Platform Communications Unified Architecture) is derived from the results.

Predictive analytics opens up opportunities to improve decision-making in manifold areas, including in supply chain management (SCM). Yet, the complete realization of its potential requires the identification of the corresponding needs upfront. This paper provides a structured concept that guides through the complex and interdisciplinary endeavor of requirements analysis for predictive analytics in SCM. Due to the generic nature of this approach, it can be applied for any use case and be adapted or enhanced in case of need.

Despite the increasing importance of industrial services, they are frequently developed unsystematically and often do not meet needs and expectations to guarantee a successful market launch. The increasing competition in many service markets emphasize the need for systematic analysis of all requirements, meaning to continuously develop innovative services that meet exactly with requirements of customers, employees, management and other stakeholders. This paper introduces a systematic process to analyse requirements within the process of new service development.