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The effective control of information can lead to a reduction in product introduction lead‐times and consequently time to market. Product data management (PDM) systems are increasingly being utilized to achieve this control. Reviews the current usage, funtionality and technology of such systems, and outlines the implementation of a PDM system within ICL Manufacturing. Describes the key stages of the implementation and the benefits to be gained.

Generative Production Systems are generative design computation that is linked to optimal physical production. They can improve the design and production of products which have unique geometries. The purpose of this paper is to introduce a preliminary methodology for Generative Production Systems.

The paper takes the form of a literature review investigating the structures and formats of successful methodologies. The literature review also investigates Generative Production Systems' theoretical foundations, development and implementations.

The potential of Generative Production Systems is restricted because enabling information is fragmented and difficult to access. In other fields, such barriers have been overcome through the introduction of methodologies that provide guiding principles, rules and strategies (P‐R‐S). The P‐R‐S type of methodology structure is suitable for Generative Production Systems.

The use of Generative Production Systems requires more upfront investment than the use of CAD/CAM software packages. However, they require little, or no, human input after they are set‐up. The preliminary methodology provides structured guidance about how to set up a Generative Production System. Further, the explanatory text enables wider understanding of Generative Production Systems, and how they can improve design and production.

An analysis is provided for the structure and format of successful methodologies in general. A preliminary methodology for Generative Production Systems is introduced. Further, the paper provides an overview of the disadvantages and advantages of Generative Production Systems compared to typical CAD/CAM software packages.

The paper explores coordination practices in digital–physical product development and their consequences for companies traditionally relying on physical product development.

Using an embedded case study design, the paper reports four action research initiatives addressing the digital–physical coordination challenges encountered by a leading B2C company.

Effective coordination of digital–physical product development, firstly, involves standardization of process, output and skills to accommodate the stability needed for efficient physical product development and manufacturing. Secondly, it involves agile coordination events, such as Scrum ceremonies and PI planning, to facilitate the mutual adjustment needed to allow agility and the differences between digital and physical product development to be continuously and successfully negotiated.

The paper illustrates a research model with case evidence and suggests tentative theory in the form of propositions. Future research should explore coordination problems and solutions in different digital–physical project types and contexts.

Coordination practices for digital–physical product development are presented and analyzed, providing inspiration for companies.

The paper is the first to explore coordination practices within the emerging field of digital–physical product development.